Next Article in Journal
Immune and Tumor Microenvironment Mechanisms of Hedyotis diffusa Willd: A Scoping Review and Network Pharmacology Analysis
Previous Article in Journal
Prognostic Impact of Baseline Neutrophil-to-Lymphocyte Ratio and Its On-Treatment Change on Survival Outcomes in Advanced Small-Cell Lung Cancer: A Retrospective Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Role of Rarely Studied Chemokines in Tumor Progression in Multiple Myeloma (MM)

1
Institute of Health Sciences, Collegium Medicum, University of Zielona Góra, 28 Zyty St., 65-046 Zielona Góra, Poland
2
Department of Biochemistry and Medical Chemistry, Pomeranian Medical University in Szczecin, 72 Powstańców Wlkp. Av., 70-111 Szczecin, Poland
3
Department of Oral Surgery, Central Clinical Hospital, Medical University of Lodz, 92-213 Łódź, Poland
4
Department of Endodontic Surgery, Pomeranian Medical Universityin Szczecin, Powstańców Wlkp. 72, 70-111 Szczecin, Poland
*
Author to whom correspondence should be addressed.
Cancers 2026, 18(4), 673; https://doi.org/10.3390/cancers18040673
Submission received: 17 January 2026 / Revised: 15 February 2026 / Accepted: 17 February 2026 / Published: 18 February 2026
(This article belongs to the Section Molecular Cancer Biology)

Simple Summary

This review compiles current knowledge on the significance of lesser-known chemokines in multiple myeloma (MM) tumor processes, including CXCL13, CCR2 ligands (CCL2 [MCP-1], CCL7 [MCP-3]), CCL4, CCL5 (RANTES), CCL17, CCL20, CCL27, CCL28, and CX3CL1 (fractalkine). It describes their impact on bone destruction, bone marrow angiogenesis, chemoresistance, and the recruitment of cells into the MM niche, such as macrophages, myeloid-derived suppressor cells, and cytotoxic lymphocytes, along with their effects on mesenchymal stromal cells.

Abstract

Multiple myeloma (MM) is a plasma cell neoplasm. Studies of chemokines in MM pathogenesis have primarily focused on CCR1 ligands such as CCL3 (MIP-1α), CXCL12 and its receptor CXCR4, as well as CXCR2 and CXCR3 ligands. However, the roles of the remaining 30 chemokines have been investigated much less frequently. This review compiles current knowledge on the significance of lesser-known chemokines in MM tumor processes, including CXCL13, CCR2 ligands (CCL2 [MCP-1], CCL7 [MCP-3]), CCL4, CCL5 (RANTES), CCL17, CCL20, CCL27, CCL28, and CX3CL1 (fractalkine). It describes their impact on bone destruction, bone marrow angiogenesis, chemoresistance, and the recruitment of cells into the MM niche, such as macrophages, myeloid-derived suppressor cells, and cytotoxic lymphocytes, along with their effects on mesenchymal stromal cells. A bioinformatic analysis highlights the significance of these chemokines in MM, and the possibility of targeting them in MM therapy is also considered.

Graphical Abstract

1. Introduction

Multiple myeloma (MM) is a plasma cell malignancy. Most often, this cancer is located in the bones. However, in a small percentage of patients, MM cells also infiltrate soft tissues [1,2,3]. This is known as extramedullary disease. Each year, around 140,000 new cases are diagnosed globally, and approximately 100,000 patients die from the disease [4]. Two precursor states lead to MM: monoclonal gammopathy of undetermined significance (MGUS) [5,6] and smoldering MM (sMM) [7]. MM is marked by organ damage as defined by hypercalcemia, renal failure, anemia, and bone lesions (CRAB criteria) [8]. Although multiple lines of therapy exist, MM remains incurable and commonly relapses [1]. Research therefore focuses on understanding MM tumor mechanisms, clarifying why current therapies are insufficient, and identifying new therapeutic targets, with much attention on the MM bone marrow microenvironment.
Chemokines are one of the key components of this microenvironment. They are chemotactic cytokines [9], primarily responsible for guiding immune cells to sites of interest. Over time, additional roles have emerged, including modulation of immune responses [10] and communication between non-immune cells, for example, in muscle tissue [11]. Chemokines also affect hematopoietic stem cells (HSC), with the CXC motif chemokine ligand (CXCL)12–CXC motif chemokine receptor (CXCR)4 axis being especially well studied [12]. In solid tumors, chemokines contribute to immune cell recruitment [13,14], enhance the migratory capacity of tumor cells [14], and can influence cancer cell proliferation [15,16].
In humans, the chemokine system is made up of 43 cytokines, 18 receptors, and 4 atypical receptors [9]. These molecules are categorized into four subfamilies based on a conserved N-terminal motif: α-chemokines (CXC), β-chemokines (CC), γ-chemokines (XC), and δ-chemokines (CX3C). Most chemokine receptors are activated only by chemokines from the same subfamily, reflected in receptor nomenclature.
Chemokines are crucial to MM progression. Current research largely focuses on certain well-studied examples, including the CC motif chemokine receptor (CCR)1 ligands (particularly CC motif chemokine ligand (CCL)3, also called MIP-1α), CXCL12 (SDF-1) and its receptor CXCR4, CXCR2 ligands such as IL-8/CXCL8, and CXCR3 ligands (e.g., CXCL9/MIG and CXCL10/IP-10). However, the remaining 30 chemokines have been investigated far less in MM. The PubMed portal (as of 7 February 2026) contains only a few experimental articles on each of these 30 chemokines, or more precisely, chemokine axes. Of this group, CCL2 has the most articles, with 68 experimental articles. There are 87 experimental articles on CCL3, 103 articles on CXCL8, and 162 articles on CXCL12. This review therefore compiles existing data on these lesser-known chemokines in MM. The aim is to increase the scientific community’s interest in these chemokines. A bioinformatic analysis was also conducted using the KM-plotter portal (https://kmplot.com/analysis, accessed 1 September 2024) with the GSE4204 dataset and GSE24080 [16,17,18,19,20,21] to demonstrate their relevance, and the potential for targeting these chemokines in MM therapy is discussed.
Bioinformatic analysis compares the survival of MM patients with chemokine expression or chemokine receptor expression on MM cells. It should be noted that the bioinformatic analysis used has many disadvantages but also some advantages. The advantages include the ability to analyze almost any gene and to preliminarily indicate a possible link between the analyzed gene and MM cancer processes. The main disadvantage is that the raw data was obtained only from CD138+ MM cells. Unfortunately, the analysis does not provide information on the expression of chemokines and chemokine receptors on other bone marrow cells in MM patients. For this reason, in the case of chemokine expression alone, it is only possible to infer MM interactions with other MM bone marrow microenvironment cells through chemokine production. It is also possible to conclude from the chemokine receptor expression data whether a given chemokine acts on MM cells. However, it is not possible to conclude the interaction between non-MM cells in the MM bone marrow microenvironment.

2. α-Chemokines

α-chemokines contain the CXC motif at the N-terminus [9]. The roles of CXCL1–12 and their receptors (CXCR1–4) in MM have been well documented [22,23,24,25,26,27,28,29,30]. By contrast, few studies have examined CXCL13, CXCL14, CXCL16, and CXCL17 in MM.

2.1. CXCR5 and CXCL13

2.1.1. The CXCL13–CXCR5 Axis

CXCL13 (previously BCA-1) binds the receptor CXCR5 [9,31]. CXCR5 is expressed on B cells and supports B-cell function in lymphoid follicles [32,33]. In solid tumors, CXCL13 can promote cancer cell migration and proliferation, recruit myeloid-derived suppressor cells and regulatory B cells, and also boost infiltration of CD4+ T cells, CD8+ T cells, and B cells, revealing both pro- and antitumor effects [33]. This axis similarly appears active in MM.

2.1.2. The CXCL13–CXCR5 Axis in MM

MM cells express CXCR5 [34], although at lower levels than normal bone marrow B cells [35]. Compared to other chemokine receptors such as CXCR4, CXCR6, and CCR10, CXCR5 expression is relatively modest in MM [36]. Some studies have reported no CXCR5 expression on MM cells [37], or have observed it in only a fraction of patients [38]. In some cases, TP53 loss-of-function mutations can increase CXCR5 levels via elevated miR-19a [39]. Thus, CXCL13 may not normally act on MM cells unless certain mutations are present.
Despite this, MM patients have higher CXCL13 concentrations in bone marrow plasma and peripheral blood than healthy individuals [40], suggesting that CXCL13 may exert effects on non-MM cells within the marrow. Myeloid cells are a major source of CXCL13 [40], and interactions between MM cells and macrophages can increase CXCL13 expression in both. In MM cells, this upregulation is driven by transforming growth factor β (TGF-β), while in macrophages it can be reduced by inhibitors of Bruton’s tyrosine kinase, which may be exploited therapeutically. MM cells and mesenchymal stromal cells (MSCs) can also produce CXCL13 [34,40], and MSCs from MM patients display higher CXCL13 expression compared to healthy donors [34].
When CXCR5 is present on MM cells, CXCL13 can directly increase their proliferation [34] and migration [34,39]. Decreasing CXCL13 expression in mice lowers the MM burden [40], indicating a protumor role. Beyond its direct effects on MM cells, CXCL13 also elevates M2 macrophage levels in the bone marrow [35], providing immune protection to MM cells. Furthermore, CXCL13 contributes to bone destruction by enhancing osteoclast formation, partially through increasing receptor activator of NF-kappaB ligand (RANKL) expression in MSC and macrophages [40].

2.1.3. The CXCL13-CXCR5 Axis as a Potential Therapeutic Target in MM

The CXCL13-CXCR5 axis may have therapeutic relevance in MM. CXCL13 induces chemoresistance to bortezomib by increasing B-cell leukemia/lymphoma-2 (Bcl-2) and P-glycoprotein (p-gp)/multiple drug resistance protein (MDR-1) in MM cells [34]. Bcl-2 is an anti-apoptotic protein that reduces bortezomib-induced cell death, while ATP binding cassette subfamily B member 1 (ABCB1)/P-glycoprotein (P-gp)/multi-drug resistance protein 1 (MDR-1) is a membrane transporter that exports bortezomib, lowering the cell’s sensitivity to this drug.
A bioinformatic analysis on the KM-plotter portal (https://kmplot.com/analysis accessed 1 September 2024) using the GSE4204 and GSE24080 dataset showed that, across all MM patients, higher CXCL13 or CXCR5 expression in MM cells does not correlate with overall survival [17,18,19,20,21]. In the HY molecular subgroup, however, higher CXCR5 expression is linked to poorer outcomes, and there is a trend (p = 0.055) toward worse outcomes for higher CXCR5 expression in the MF subgroup. In the MS subgroup, higher CXCL13 expression correlates with poorer survival. These findings suggest that, in HY patients, CXCR5-mediated interactions with the bone marrow microenvironment are most relevant, whereas in MS patients, CXCL13 production by MM cells and its effects on non-MM cells drive disease progression. Consequently, disrupting the CXCL13-CXCR5 axis with CXCR5 inhibitors or CXCL13-neutralizing antibodies may have therapeutic potential in these subgroups. It should be noted that this analysis does not account for interactions among non-MM cells, so it simplifies the broader cell–cell interactions that occur in MM.
In contrast, in the CD1 subgroup, higher CXCL13 expression in MM cells is associated with better survival, echoing certain antitumor effects observed for this chemokine in solid tumors [33].

2.2. CXCL14

CXCL14 was previously called BRAK [31]. Its receptor is not clearly defined, but potential targets include G-protein coupled receptor (GPR)85 [41], atypical chemokine receptor 2 (ACKR2) [42], insulin-like growth factor 1 receptor (IGF-1R) [43], low-density lipoprotein receptor-related protein 1 (LRP1) [44], and possibly CXCR4 [45], though the CXCL14–CXCR4 interaction is debated [46]. CXCL14 can bind cytosine-phosphate-guanine (CpG) DNA and serve as a carrier molecule [47], influencing dendritic cell function. Studies in solid tumors suggest it can either promote or inhibit tumor growth, depending on the tumor type and experimental model [48]. It can increase or reduce cancer cell proliferation, migration, and invasion and may facilitate cytotoxic lymphocyte infiltration [49]. It also exhibits angiostatic activity [50]. In chronic myeloid leukemia (CML), CXCL14 reduces the maintenance of leukemia-initiating stem cells, inhibiting disease progression [51].
Although its role in MM has not been investigated, the KM-plotter analysis of the GSE4204 and GSE24080 datasets revealed no correlation between CXCL14 expression in MM cells and survival for the overall patient group [17,18,19,20,21]. Within the HY subgroup, higher CXCL14 expression was linked to poorer outcomes, with a similar trend (p = 0.068) in the MF subgroup. In the PR subgroup, however, higher CXCL14 was associated with improved prognosis. These findings suggest that CXCL14 can promote or suppress tumor growth, depending on the molecular subgroup. In the HY and MF subgroups, it appears to play a protumor role and may therefore be a potential therapeutic target.

2.3. CXCR6 and CXCL16

2.3.1. The CXCL16-CXCR6 Axis

CXCL16 is synthesized in a membrane-bound form, which can then be cleaved to generate a soluble form. The membrane-bound form functions as an adhesion molecule for cells expressing CXCR6 [52]. CXCR6 is found on activated CD4+ T cells, activated CD8+ T cells, natural killer T (NKT) cells, and γδ T cells [9,53]. In solid tumors, the CXCL16-CXCR6 axis can either promote or inhibit tumor growth, depending on the specific tumor and model system [54]. The soluble form drives cancer cell migration, whereas the membrane-bound form limits migration by binding tumor cells [55].

2.3.2. The CXCL16-CXCR6 Axis in MM

The importance of this axis in MM remains unclear. MM cells express CXCR6 [36], enabling them to bind and respond to CXCL16. Mesenchymal stromal cells also produce CXCL16 [36], potentially allowing MM cells to adhere to them via CXCL16-CXCR6. In addition, CXCL16 promotes MM cell adhesion to fibronectin [36].
Although its precise function in MM is unknown, the KM-plotter analysis of the GSE4204 and GSE24080 dataset points to an antitumor role [17,18,19,20,21]. Higher CXCR6 or CXCL16 expression in MM cells correlates with better outcomes, most notably in the CD1 molecular subgroup for both molecules, in the PR subgroup for CXCR6, and in the CD2 subgroup for CXCL16. The CXCL16-CXCR6 axis is important in lymphocyte adhesion [9,53]. Therefore, it can be assumed that the antitumor properties of this axis in MM may be due to the interaction of MM cells with immune cells. These assumptions should be tested, particularly with regard to their use in CAR T cell therapy (Figure 1).

2.4. CXCL17

2.4.1. CXCL17 and Its Receptor

Previously known as VCC-1, CXCL17 primarily signals through GPR35 [56], a receptor sometimes proposed for renaming as CXCR8. GPR35 can also be activated by other factors such as the serotonin metabolite 5-hydroxyindoleacetic acid (5-HIAA) [57], and there is evidence that GPR35 may not be the sole receptor for CXCL17 [58]. GPR35 is expressed on macrophages, monocytes, neutrophils, eosinophils, basophils, and dendritic cells [9], so CXCL17 can act on these cell types. It also binds glycosaminoglycans, potentially influencing other chemokines [59]. In solid tumors, CXCL17 may either inhibit or promote tumor progression, depending on the tumor context [58,60,61,62]. Its role in MM has not been explored experimentally.

2.4.2. CXCL17 and Its Receptor in MM

A bioinformatic analysis on the KM-plotter portal (https://kmplot.com/analysis, accessed 1 September 2024) using the GSE4204 dataset found that CXCL17 likely has a protumor effect in MM [17,21]. An analysis demonstrated the unproven association of CXCL17 efficiency in MM cells with prognosis using the GSE24080 dataset [18,19,20,21]. However, differential results were obtained for the molecular subgroup of MM. Higher CXCL17 expression in MM cells was associated with worse outcomes overall and in the HY, LB, and MY molecular subgroups. This suggests that CXCL17 may be a promising therapeutic target in these subgroups (Table 1 and Table 2). In contrast, in the CD1 subgroup, higher CXCL17 expression in MM cells correlated with better prognosis.
Regarding its receptor, GPR35, expression in MM cells does not significantly affect survival in the overall patient group. However, in the PR subgroup, higher GPR35 expression is linked to better outcomes, while in the HY subgroup there is a borderline trend (p = 0.052) toward worse survival at higher expression. This pattern suggests a possible autocrine loop in which MM cells produce CXCL17 that then acts back on the same cells, enhancing tumor growth. In the LB and MY subgroups, such an autocrine relationship is less likely, and CXCL17 may act mainly on other cells in the MM microenvironment to promote tumor progression.
No direct experimental work has clarified the role of CXCL17 in MM, but its elevated expression in MM cells is tied to poorer outcomes, indicating it may be important for tumor progression. Further studies are needed to determine its function in the MM bone marrow microenvironment.

3. β-Chemokines

β-chemokines have a CC motif at the N-terminus [8]. In humans, they include CCL1 through CCL28, excluding CCL6, CCL9, CCL10, and CCL12, which are found in mice. These chemokines activate ten receptors: CCR1–CCR10. In MM, CCL3 (MIP-1α) and its receptor CCR1 have been most thoroughly investigated. Through their involvement in MM bone disease [63,64,65], CCL3 increases RANKL expression on osteocytes, which leads to bone loss [66]. Also, CCL3 and CCR1 receptor activation cause chemoresistance to various drugs in MM therapy, including dexamethasone [67], bortezomib [68,69] and melphalan [69]. CCL3 also impairs the function of megakaryocyte-erythroid progenitors in MM patients, contributing to anemia [70,71]. Other β-chemokines in MM have received less attention.

3.1. CCR2

3.1.1. CCR2 and Its Ligands: CCL2, CCL7, CCL8, and CCL13

CCR2 ligands include CCL2 (MCP-1), CCL7 (MCP-3), CCL8 (MCP-2), and CCL13 (MCP-4) [9,31]. These factors act as chemoattractants for monocytes and macrophages [72,73,74]. CCL7 also binds CCR1, CCR3, and CCR5, and CCL13 can bind CCR1 and CCR3 [9], expanding their impact to a broader range of immune cells such as basophils and eosinophils [75]. In solid tumors, CCL2 promotes macrophage [76] and monocytic-myeloid-derived suppressor cell (M-MDSC) [77] infiltration. In acute myeloid leukemia (AML), CCL2 can contribute to thymic atrophy and immunodeficiency [78].

3.1.2. CCR2 and Its Ligands: CCL2, CCL7, CCL8, and CCL13 in MM

Although the importance of CCR2 ligands has been recognized, it is less thoroughly characterized than the roles of CXCL12, CXCL8/IL-8, or CCL3. MM cells express CCR2 [79,80,81], though the fraction of patients with CCR2-positive MM cells varies from about one-quarter [38] to more than half [23]. In peripheral blood, more than half of MM cells are CCR2-positive [38], suggesting a mechanism for their release from bone marrow. In patients with active disease, fewer exhibit CCR2 expression [23]; lack of CCR2 correlates with higher β-2-microglobulin (B2M) and C-reactive protein (CRP) levels and lower hemoglobin [23]. Even in cases where MM cells express CCR2, typically only about one-quarter of these cells show it [82].
Serum levels of CCL2 do not uniformly differ between MM patients and healthy controls [26,83]; some studies report lower levels [75,76], while others find higher levels [84,85,86,87,88]. Nevertheless, CCL2 levels positively correlate with bone lesions, renal impairment [83], and anemia [26,83], as well as total vascular area in the bone marrow [83], linking CCL2 to bone marrow angiogenesis in MM. Elevated CCL2 in serum is also associated with poorer prognosis [89]. Another CCR2 ligand, CCL13, is elevated in MM patients [90], correlates positively with B2M, and shows an inverse relationship with white blood count (WBC) [90]. These findings point to a strong link between disease severity and CCR2 ligands.
Levels of CCL2 in the bone marrow plasma of MM patients are higher than in healthy individuals [87,91,92] and MGUS patients [92]. Bone marrow cells in MM also produce more CCL2 than those in MGUS and healthy controls [93]. Macrophages appear to be the primary source of CCL2 in the MM bone marrow [88], and MM cells boost this chemokine’s expression in macrophages. Bone marrow macrophages further increase CCL2 production through erythropoietin receptor (Epo-R) activation [94], and Epo-R expression is higher in MM than MGUS.
All three CCR2 ligands are also expressed by MSCs in the bone marrow [80]. MM cells can elevate at least CCL2 production in MSCs [92,95,96], partly via the transfer of miR-146a in MM cell–derived exosomes. One study did not detect such an effect [97]. Bone marrow endothelial cells [82] and osteoblasts [98] produce CCL2 under MM cell stimulation, and osteoclasts generate CCR2 ligands such as CCL2, CCL7, and CCL8 [99]. Osteoclasts have higher CCL7 and CCL8 expression than MM cells, suggesting they may be a more important source of these chemokines.
In some patients, MM cells themselves can also produce CCL2 [91], though MM cells are generally not the main source in bone marrow [92]. Interacting with M2-type macrophages in bone marrow increases CCL2 production in MM cells [100,101] and also raises CCR2 expression, intensifying the effect of this axis on MM cells [101]. Tumor necrosis factor-α (TNF-α) can similarly elevate CCL2 expression in MM cells [101].

3.1.3. Association of CCR2 and Its Ligands with MM Prognosis

Studies relating the expression and levels of CCR2-axis components to MM prognosis have yielded mixed findings. A higher level of CCR2 on MM cells is linked to poorer survival [23], suggesting that receptor activation is important in MM pathogenesis. Conversely, elevated CCL2 expression in MM cells correlates with better outcomes [102,103], although MM cells are not the main source of CCL2 in the bone marrow [92].
A bioinformatic analysis on the KM-plotter portal (https://kmplot.com/analysis, accessed 1 September 2024) using the GSE4204 [17,21] and GSE24080 datasets [18,19,20,21] suggests that this axis may overall have an antitumor effect when considering all MM patients. According to the GSE4204 dataset, higher expression of CCR2, CCL2, and CCL8 in MM cells is associated with better survival. However, these correlations depend on the molecular subgroup. In the LB subgroup, higher CCR2 expression predicts poorer outcomes. Similar patterns emerge for CCR2 ligands: higher CCL7 expression is linked to worse survival in the PR and MY subgroups, CCL8 in the MS subgroup, and CCL13 in the MF subgroup. There is also a trend (p = 0.06) toward worse survival at higher CCL13 expression in the LB and MS subgroups. Thus, in four of the eight subgroups associated with adverse outcomes, higher expression of a specific CCR2 ligand in MM cells correlates with poorer survival. This supports the idea that CCR2 ligands secreted by MM cells may mainly affect other cell types rather than MM cells themselves.

3.1.4. Role of CCR2 Ligands in MM Tumor Processes

CCR2 ligands appear to influence MM development and progression. Higher circulating CCL8 in healthy individuals is associated with an increased risk of MM [104], while lower circulating CCL7 corresponds to a higher MM risk [105,106]. CCL7 has a broad range of immune activities [107], strongly affecting basophils and eosinophils [75], and can also act on CCR5-expressing T cells and natural killer (NK) cells [9]. These observations may point toward a weakened immune response as a factor in MM initiation, and they also suggest that CCL8 may contribute to MM onset and growth.
CCR2 ligands can act on MM cells or on tumor-associated cells in the bone marrow. Depending on the cell line, they can either increase [99] or not affect [88] MM cell proliferation. Cells producing CCR2 ligands attract MM cells, driving their migration toward MSCs [80] and osteoclasts [99]. Though this process depends on other factors, such as CCL3, MM cell migration to these cells promotes adhesion between MM cells and MSCs or osteoclasts and heightens interactions between the two cell types. CCR2 ligands can also promote MM cell egress from the bone marrow [38], explaining why peripheral blood contains a higher proportion of CCR2-expressing MM cells than the bone marrow.
The CCR2 axis also appears to act on tumor-associated cells in the bone marrow. CCR2 ligands, particularly CCL2, recruit macrophages [92], which then polarize toward an immunosuppressive M2 phenotype—a process partly driven by CCL2 [88]. These M2 macrophages protect MM cells from immune surveillance and immunotherapies.
Finally, CCR2 ligands may contribute to bone destruction in MM. Elevated serum CCL2 correlates with bone lesions in some studies [83], though not all [89]. CCL2 can induce osteoclastogenesis by counteracting MM cell-derived interleukin-10 (IL-10), which would otherwise reduce RANKL expression on monocytes [95]. This effect is especially pronounced when MSCs are present, as MM cells increase CCL2 expression in MSCs [95]. CCL2 itself also elevates RANKL in monocytes [95], indicating that CCR2 ligands are among the factors driving myeloma bone disease.

3.1.5. CCR2 Ligands and MM Therapy

CCR2 ligands may have therapeutic relevance in MM. CCL2 contributes to treatment side effects, such as peripheral neuropathy, which occurs in about half of MM patients treated with agents like bortezomib [108]. Individuals who have higher post-chemotherapy levels of CCL2 and proinflammatory cytokines such as interferon-γ (IFN-γ) and interleukin-1β (IL-1β) are more likely to develop peripheral neuropathy [109]. This effect may involve inflammatory responses in the dorsal root ganglion [110], where CCL2 expression is elevated [111]. Increased expression of activating transcription factor 3 (ATF3) and activation of c-Jun upregulate the CCL2 gene promoter in dorsal root ganglia, causing mechanical allodynia in rat models [111]. These findings suggest that CCR2 inhibitors could help reduce certain chemotherapy-related side effects in MM.
CCR2 ligands can also promote chemoresistance. CCL2 itself does not directly affect the sensitivity of MM cells to agents like bortezomib [88], but it acts on macrophages, inducing an M2 phenotype that shields MM cells from bortezomib and melphalan. M2 macrophages are immunosuppressive, protecting MM cells from immune-based therapies.
Some CCR2 inhibitors have undergone in vivo testing for antitumor activity in MM. One example is CCX140-B [88]. This compound did not affect tumor growth or MM cell susceptibility to bortezomib. However, in the presence of macrophages within the MM microenvironment, the CCR2 inhibitor enhanced MM cell sensitivity to bortezomib [88]. Combining a CCR2 inhibitor with standard MM therapy such as bortezomib could thus provide therapeutic benefits.

3.2. CCR3

3.2.1. CCR3 and Its Ligands: CCL11, CCL24, CCL26

CCR3 ligands include CCL11, CCL24, and CCL26, as well as CCL4, CCL5, CCL7, CCL13, CCL15, CCL23, and CCL28 [9]. CCR3 is primarily found on eosinophils [8]. Its ligands are therefore key eosinophil chemoattractants [112]. CCL11, CCL24, and CCL26 were originally named eotaxin, eotaxin-2, and eotaxin-3, respectively [31]. By driving eosinophil infiltration, this axis is involved in allergic conditions [113]. In solid tumors, CCR3 activation can increase proliferation and migration of cancer cells [114] and promote angiogenesis by directly affecting endothelial cells [115]. Conversely, infiltrating eosinophils can curb angiogenesis and tumor growth [116].

3.2.2. CCR3 and Its Ligands in MM

CCR3’s significance in MM remains poorly understood. MM cells express CCR3 [36] but at lower levels than other chemokine receptors such as CXCR4, CXCR6, and CCR10 [36]. Another study reported CCR3 expression in only 1 out of 10 MM patients [38]. Serum CCL11 levels do not differ between MM patients and healthy individuals [26,86], and bone marrow plasma levels of CCL11 are similarly unchanged in MM [91].
A bioinformatic analysis on the KM-plotter portal (https://kmplot.com/analysis accessed 1 September 2024) using the GSE4204 dataset suggests that bone marrow microenvironmental signals acting through CCR3 on MM cells are important [17,21]. Higher CCR3 expression in MM cells correlates with poorer outcomes, particularly in the HY and LB subgroups, with a borderline trend (p = 0.058) in the MF subgroup. However, higher CCL11 and CCL24 expression in MM cells is linked to better survival, implying a protective role when these chemokines are secreted by MM cells. This pattern does not hold in all molecular subgroups. For instance, in the HY subgroup, elevated CCL11 expression correlates with worse outcomes, and in the MF and MY subgroups, higher CCL26 expression is also associated with worse outcomes. In the HY subgroup, MM cells may secrete CCL11 that acts autocrinely, potentially presenting a therapeutic target, while in the MF subgroup, CCL26 might play a similar role. These findings suggest that CCR3 inhibitors may be beneficial against MM, but perhaps only for HY and MF subgroups.
The poorer prognosis in patients whose MM cells express more CCR3 indicates that this receptor may be important in MM tumor mechanisms, but experimental data are lacking. Further research on how CCR3 functions in MM cells is necessary to clarify its role in the bone marrow microenvironment.

3.3. CCR4

3.3.1. CCR4 and Its Ligands: CCL17 and CCL22

CCR4 ligands are CCL17 and CCL22 [9]. CCR4 is expressed on CD4+ T cells, CD8+ T cells, NKT cells, regulatory T cells (Treg), and type 2 helper T (Th2) cells [9,117]. Because Th2 cells express CCR4, this axis contributes to allergic responses. In solid tumors, CCR4-mediated signaling can recruit Treg into the tumor niche [118,119,120]. However, it may also facilitate infiltration of cytotoxic lymphocytes into the tumor, producing an antitumor effect [121].

3.3.2. CCR4 and Its Ligands in MM

The CCL17/CCL22-CCR4 axis appears to exert an antimyeloma effect. CCR4 ligands contribute to immune responses, so MM cells with high expression of these ligands are more likely to be targeted by the host immune system—an effect particularly relevant in early-stage MM [122]. Later, as the MM bone marrow microenvironment matures, Treg cells proliferate [123] and inhibit immune responses against MM. Enhancing immune activity and reducing Treg function may thus be a viable therapeutic strategy, supported by mouse model studies [122].
Patients with MM have higher CCL17 concentrations in their blood compared to healthy individuals [124]. CCL17 may be involved in MM pathogenesis by inhibiting osteoblast differentiation [124], which could worsen bone destruction in MM. Elevated blood CCL17 in MM patients also predicts response to lenalidomide therapy [125], though it can indicate allergic reactions to this agent (manifested as skin rashes) [125]. Lenalidomide-based chemotherapy raises serum CCL17, which recruits Th2 cells [117] responsible for allergic-type responses, whereas bortezomib-based therapy decreases serum CCL17 [125].
A bioinformatic analysis on the KM-plotter portal (https://kmplot.com/analysis accessed 1 September 2024) using the GSE4204 dataset shows that the CCL17/CCL22-CCR4 axis plays an antitumor role in MM [17,21]. Higher CCL17 expression in MM cells correlates with better outcomes, suggesting that CCL17 may not recruit Treg but instead attract cytotoxic lymphocytes into the bone marrow tumor. Analyses using the GSE24080 dataset showed trends (p < 0.10) of better prognosis with higher expression of this chemokine in MM cells [18,19,20,21]. According to the GSE4204 dataset, higher CCR4 expression in MM cells trends (p = 0.077) toward worse prognosis, hinting that CCR4 activation on MM cells could contribute to tumor processes.
Because CCL17 in MM is linked to improved outcomes, a potential therapeutic approach would be to increase its levels in the MM bone marrow microenvironment. One example might be chimeric antigen receptor-modified (CAR) T cells engineered to overexpress CCL17, which could elevate local CCL17 concentration in the bone marrow, promote cytotoxic lymphocyte infiltration, and enhance the immune response against MM.

3.4. CCR5

3.4.1. CCR5 and Its Ligands CCL4 and CCL5

CCR5 can be activated by multiple chemokines, including CCL3, CCL4, CCL5, CCL7, CCL11, CCL14, and CCL16 [9]. In this section, CCL4 and CCL5 are emphasized. These chemokines also activate CCR1 and CCR3. CCR5 is expressed on B cells, CD4+ T cells, CD8+ T cells, NKT cells, NK cells, dendritic cells, monocytes, and macrophages [8]. It supports immune system functions by promoting the infiltration of cytotoxic lymphocytes [126,127]. In solid tumors, CCL4 and CCL5 drive tumor infiltration by NK cells, CD4+ T cells, and CD8+ T cells, producing antitumor effects [128,129,130]. However, these chemokines can also recruit Treg [130], expand myeloid-derived suppressor cells (MDSC) in the bone marrow [131], and promote angiogenesis [132].

3.4.2. CCR5 and CCL5 in MM

Genetic polymorphism studies suggest that the CCL5-CCR5 axis may not initiate MM but can influence disease progression during therapy. In a Polish cohort, certain CCL5 genotypes (rs2280789, rs2280788, rs2107538) do not correlate with MM incidence, but CG+CC genotypes at rs2280788 and CC at rs2107538 are associated with a higher risk of relapse [133]. Conversely, patients with the major genotypes show better outcomes with thalidomide or bortezomib and have higher serum CCL5, indicating a favorable response to chemotherapy [133].
Studies also show CCR5 expression on MM cell lines [134] and in patient-derived MM cells [135], though only about one-third of patients have CCR5-positive MM cells [38]. Expression levels are lower than those of some other receptors like CCR1 [135], yet they can be enhanced through interactions with tumor-associated macrophages [101].
Some reports indicate higher serum CCL5 in MM [26], while others find no difference compared to healthy controls [86]. No significant changes in bone marrow plasma CCL5 have been identified among MM, MGUS, and healthy groups [92], though further confirmation is needed. MM cells themselves can secrete CCL5 [136], and certain cell lines produce it [91,137]. Within the bone marrow, interactions with macrophages boost CCL5 production by MM cells [100]. CCL5 is also higher in differentiated MM cells than in side population (SP) MM cells [138]. MSCs represent another potential source of CCL5; MM cells can induce MSCs to produce it by transferring miR-146a through exosomes [96].
Elevated CCL5 in the bone marrow plasma of MM patients with extramedullary disease indicates that it may promote MM cell egress from the marrow [139]. CCR5 also contributes to bone marrow angiogenesis driven by MM; inhibiting CCR5 reduces angiogenesis, although the key ligand remains unclear [140]. CCL5 can recruit M-MDSCs and enhance their immunosuppressive activity, especially when combined with exosomes carrying miR-106a-5p from MM cells [141,142]. Immunomodulatory drugs such as lenalidomide and pomalidomide lower CCL5 expression in MM cells, reducing MDSC recruitment and immunosuppression [141].

3.4.3. CCL4 in MM

Serum CCL4 levels are higher in MM patients than in healthy individuals [26,86]. Bone marrow plasma CCL4 levels are elevated in MM and MGUS compared to healthy controls [87], although one study did not replicate this finding [92]. MM cells produce CCL4 [136,143], and adhesion to the extracellular matrix (ECM) particularly via integrin β7 further increases its expression [144].
Greater CCL4 production by MM cells correlates with more severe bone destruction [143,145], suggesting a role in myeloma-related bone lesions. Osteoclast precursors respond to CCL4 via CCR5, which boosts RANK expression and osteoclast activity [143]. Anticancer drugs can alter CCL4 expression; for example, bortezomib reduces its levels in MM cells [146]. Lower serum CCL4 predicts a better response to bortezomib [26], and a stronger CCL4 response in peripheral blood after lipopolysaccharide (LPS) and zymosan A stimulation suggests a favorable outcome to bortezomib [147]. Since CCL4 supports NK cell function [148] and bortezomib enhances immune-mediated tumor suppression [149], a robust CCL4 response may reflect the immune system’s ability to control MM when exposed to bortezomib.

3.4.4. Bioinformatic Analysis of CCR5, CCL4, and CCL5 in MM

A KM-plotter portal analysis (https://kmplot.com/analysis, accessed 1 September 2024) using the GSE4204 [17,21] and GSE24080 datasets [18,19,20,21] shows that the described axis may not be a convenient therapeutic target. CCL4 and CCL5 expression in MM cells does not correlate with prognosis for all patients, although higher CCL5 in the LB subgroup is associated with improved survival and in the MF subgroup with worse survival. CCR5 expression in MM cells is not linked to outcomes overall, but in CD2, HY, and LB subgroups, higher CCR5 correlates with poorer survival. These data suggest that in certain molecular subgroups, CCR5 activation on MM cells plays a key role in tumor progression, making CCR5 a potential therapeutic target in these settings.

3.5. CCR6 and Its Ligand CCL20

CCR6 is activated by the ligand CCL20 [9] and is expressed on B cells, Treg, basophils, and dendritic cells. Through its action on T helper type 17 (Th17) cells and Treg, the CCL20–CCR6 axis helps maintain immune homeostasis [150]. In solid tumors, CCL20–CCR6 promotes the recruitment of Treg [151,152] and Th17 cells [153] to the tumor niche.
In MM, CCR6 is expressed at lower levels on MM cells than on normal bone marrow B cells [35]. Compared to CXCR4, CXCR6, and CCR10, its expression is much weaker [36], and some studies detect CCR6 only in a subset of patients [38] or certain MM cell lines [154].
By contrast, CCL20 is found on the MM cells of only about 20% of patients [155], and its presence often correlates with CCR6 expression, hinting at a possible autocrine loop. Bone marrow plasma levels of CCL20 are higher in MM than in MGUS [87,155,156], sMM [156], or healthy controls [87]. Patients with MM-related osteolysis have higher CCL20 concentrations than those without bone destruction [155,156], suggesting that CCL20–CCR6 may contribute to osteolytic lesions in MM. MM cells upregulate CCL20 and CCR6 in bone marrow osteoprogenitor cells, osteoblasts, and osteoclasts [155]. In osteoprogenitor cells and osteoblasts, proinflammatory cytokines IL-1β and TNF-α (but not interleukin 6 (IL-6)) further boost CCL20–CCR6, increasing RANKL expression and enhancing osteoclastogenesis, leading to bone destruction [155].
This axis may also affect drug sensitivity. In MM lines resistant to elotuzumab or lenalidomide, CCL20 levels are lower compared to sensitive lines; similarly, patients whose MM is resistant to these drugs have reduced circulating CCL20 [157]. Because CCL20 acts on T cells, B cells, and dendritic cells (DC) [158], reduced CCL20 might compromise immune responses during treatment. In vitro data suggest a direct effect on MM cells as well [157], although the mechanism remains unclear.
A bioinformatic analysis (KM-plotter portal, https://kmplot.com/analysis, accessed 1 September 2024) using the GSE4204 [17,21] and GSE24080 datasets [18,19,20,21] indicates no strong overall association between CCL20–CCR6 expression in MM cells and survival. However, in the HY molecular subgroup, higher CCR6 levels correlate with poorer outcomes, implying that CCR6 activation may be particularly relevant to tumor progression in this subgroup.

3.6. CCR7 and Its Ligands CCL19, CCL21

CCR7 ligands include CCL19 and CCL21 [9]. CCR7 is primarily expressed by T cells but also appears on dendritic cells and B cells [9,159]. Its key function is guiding lymphocytes to secondary lymphoid organs [160]. In solid tumors, CCL19/CCL21–CCR7 recruits CD4+ and CD8+ T cells into the tumor, conferring antitumor effects [161,162,163], yet it can also attract Treg [164]. Elevated ligand levels in lymph nodes enable cancer cells that express CCR7 to metastasize there [165].
Roughly half of MM patients have CCR7-positive MM cells [166], though its expression is considerably lower than that of CXCR4, CXCR6, or CCR10 [36]. Other studies do not detect CCR7 on MM cells at all [37,38]. Little is known about how CCL19/CCL21–CCR7 influences MM, though more CCR7-positive MM cells are found in patients with extramedullary disease [166], suggesting a role in allowing MM cells to exit the bone marrow or spread beyond it.
CCR7 ligands facilitate T-cell activity [160,161,162,163] and may enhance adoptive cell therapy. BCMA-7 × 19 CAR T cells, for instance, target B cell maturation antigen (BCMA), an antigen on MM cells and chronic lymphocytic leukemia (CLL) B cells [167,168], and also overexpress interleukin-7 (IL-7) and CCL19 [169]. IL-7 increases CAR T-cell proliferation, while CCR7 ligands provide additional T-cell costimulation [170]. Compared to standard BCMA-targeted CAR T cells, these enhanced cells show greater expansion and cytotoxicity without raising interleukin-2 (IL-2), IFN-γ, or granulocyte-macrophage colony-stimulating factor (GM-CSF) levels, thus avoiding neurotoxicity or severe cytokine release syndrome. In clinical trials (NCT03778346), BCMA-7 × 19 CAR T cells have been highly effective against relapsed/refractory MM, causing only grade 1 cytokine release syndrome and some neutropenia [169].
KM-plotter analysis (GSE4204 and GSE24080 datasets) [17,18,19,20,21], https://kmplot.com/analysis, accessed 1 September 2024) indicates that CCL19/CCL21–CCR7 has antitumor potential in MM overall, as higher CCL21 expression correlates with better survival [17,18,19,20,21]. However, in the MS molecular subgroup, higher CCL19 is linked to worse outcomes, although CCL21 is not prognostic. This discrepancy suggests the axis could be therapeutically targeted in MS patients. Meanwhile, higher CCR7 levels in MM cells from the LB and MY subgroups correlate with poorer survival, with a similar trend in MF and CD1, implying that CCR7 activation on MM cells may be protumor in these contexts. While CCL21 expression in MM cells has an antitumor effect (Figure 2), CCL21 is a chemokine that acts on lymphocytes [9,159,160]. Therefore, it can be assumed that this axis is involved in the interaction and control of MM cells by the immune system.

3.7. CCR8, CCL1, and CCL18

CCR8 is activated by CCL1 and CCL18 [9,171]. Because CCR8 is expressed on Th2 cells [172,173], these ligands are involved in allergic responses. CCR8 is also found on endothelial cells, and its activation promotes angiogenesis [174]. In adult T-cell leukemia (ATL), CCL1 provides an autocrine anti-apoptotic signal [175]. Moreover, CCR8 ligands can recruit Treg to the tumor niche [176].
CCL18 is recognized as a marker of M2-polarized macrophages [177,178]. In solid tumors, tumor-associated macrophages (TAM) are the primary source of CCL18 [179,180,181]. Although it weakly activates CCR8 [182], CCL18 can also bind phosphatidylinositol transfer protein membrane-associated 3 (PITPNM3) [183], CCR6 [184], and GPR30 [185]. PITPNM3 appears to be the main receptor. Because PITPNM3 is expressed on endothelial cells, CCL18 can induce angiogenesis [186]. Via PITPNM3, it also attracts naïve CD4+ T cells to the tumor niche, where they can differentiate into Treg [187].

CCR8, CCL1, and CCL18 in MM

Currently, no data are available on CCL1 or CCR8 in MM. Research on CCL18 in MM is limited. Serum levels of CCL18 are higher in MM patients than in MGUS patients or healthy controls [188], increasing with higher International Staging System (ISS) stages. This makes CCL18 a potential marker of disease progression. Even MGUS patients display higher CCL18 than healthy individuals. Serum CCL18 levels correlate with renal dysfunction and hypercalcemia, reflecting MM-related bone damage [188]. High serum CCL18 also indicates worse outcomes in MM [188].
In the bone marrow, osteoclasts are the main source of CCL18 [99], although MM cells produce smaller amounts. CCL18 promotes MM cell migration but does not affect proliferation [188]. While higher CCL18 levels correlate with unfavorable prognosis, the exact molecular mechanisms remain unclear.
A bioinformatic analysis (KM-plotter portal, https://kmplot.com/analysis; accessed 1 September 2024) using the GSE4204 [17,21] and GSE24080 datasets [18,19,20,21] found that higher CCL1 and CCL18 expression in MM cells, considered across all patients, is linked to better outcomes. In the LB molecular subgroup, however, elevated CCL18 correlates with worse survival, suggesting context-dependent effects. CCR8 expression in MM cells is not tied to prognosis overall, while PITPNM3 (the main CCL18 receptor) shows a borderline (GSE4204 dataset p = 0.058; GSE24080 dataset p = 0.088) association with improved survival. In the MF subgroup, higher PITPNM3 is linked to worse outcomes, implying that this receptor could be a therapeutic target there. It should be noted that, in solid tumors, TAMs (not cancer cells) are the main producers of CCL18 [179,180,181], and a similar pattern may occur in MM.

3.8. CCR9 and CCL25

CCR9 is activated by CCL25 [9], a chemokine abundantly expressed in the thymus and small intestine, where it regulates the migration of activated lymphocytes [189]. In solid tumors, CCL25 can promote infiltration by cytotoxic CCR9+CD8+ T cells [190], but it can also recruit MDSCs [191] and affect TAMs in the tumor niche [192].

CCR9 and CCL25 in MM

The role of the CCL25–CCR9 axis in MM is poorly understood. Some cell line studies indicate that MM cells do not express CCR9 [134], although they can secrete CCL25 [137]. In the bone marrow, MM-derived CCL25 attracts MSCs [137].
A KM-plotter analysis (GSE4204 and GSE24080) [18,19,20,21] datasets, https://kmplot.com/analysis; accessed 1 September 2024 [17,21] suggests that CCL25 produced by MM cells may not be of significant importance for MM. CCR9 expression in MM cells does not correlate with outcomes, yet higher CCL25 levels in the PR, LB, MF, and MY subgroups predict worse survival. There is also a trend (p = 0.074) toward poorer prognosis with higher CCL25 expression overall. This points to CCL25–CCR9 as a potential therapeutic target, although its exact role—possibly acting on TAMs, MDSCs, or supporting MM cell proliferation and migration—remains unclear.

3.9. CCR10, CCL27, and CCL28

CCR10 is activated by CCL27 and CCL28 [9], and CCL28 can also activate CCR3. These chemokines act on T helper type 22 (Th22) cells, IgA-secreting plasma cells, and small subsets of preactivated or memory-like T cells in circulation. CCL27 recruits lymphocytes to the skin, while CCL28 attracts them to mucosal tissues [193,194] and helps maintain the hematopoietic stem cell pool [195]. In solid tumors, CCR10 ligands can be antitumor by recruiting cytotoxic lymphocytes, including NK cells [196]. They may also exert protumor effects by recruiting Treg [197]. Furthermore, CCL28 activates CCR3 on endothelial cells to promote angiogenesis [198] and CCR10 on lymphatic endothelial cells to stimulate lymphangiogenesis [199].

CCR10 and Its Ligands CCL27 and CCL28 in MM

Patients with MM have higher CCL27 levels in circulation than healthy individuals [90]. A similar pattern is observed in bone marrow plasma [200], though CCL27 levels there do not correlate with tumor burden. In contrast, CCL28 levels in the bone marrow are much lower, and about half of MM patients show no detectable CCL28 at all [200]. Within the bone marrow, CCL27 is produced mainly by MM cells [200], while MSCs express CCL28 [36]. Elevated CCL27 in bone marrow plasma is associated with worse outcomes, and MM cells also express CCR10 [36]. Higher CCR10 expression correlates with poorer prognosis [201] and increases in relapsed MM, suggesting a significant role for the CCL27-CCR10 axis in disease progression.
CCL28 promotes MM cell adhesion to fibronectin [36], contributing to cell adhesion–mediated drug resistance (CAM-DR). The CCL27/CCL28-CCR10 axis also drives chemoresistance, particularly through CCL27-induced bortezomib resistance [200]. Bortezomib normally reduces IL-10 in the bone marrow, but CCL27 released by MM cells activates CCR10 on MSCs, preventing IL-10 downregulation. Moreover, bortezomib increases CCL27 expression in MM cells [200], heightening resistance in subsequent treatment cycles. Combining bortezomib with a CCR10 inhibitor could offer a new therapeutic strategy (Figure 3).
This axis is being explored as a potential therapeutic target. One approach involves CAR T cells engineered to target CCR10 [201]. These CAR T cells detect CCR10 using a CCR27-based recognition domain and carry a CCR10 gene knockout to avoid attacking each other. In vitro, they recognize and kill MM cells [201]. However, their clinical use may be limited because CCR10 is not exclusive to MM cells; it is also expressed on hematopoietic stem cells [195], raising concerns about collateral damage to healthy stem cells.
Bioinformatic analysis (KM-plotter portal, accessed 1 September 2024) of the GSE4204 [17,21] and GSE24080 datasets [18,19,20,21] suggests that while the CCR10 axis is associated with tumorigenic mechanisms in MM, higher CCL27 expression in MM cells is linked to better outcomes overall. However, analyses using the GSE24080 dataset did not confirm this. While elevated CCL28 expression in MM cells is associated with a poorer prognosis (Table 3, Table 4 and Table 5), the same is true for increased expression of the CCR10 receptor on MM cells. Specifically, LB subgroup patients with higher CCL28 experience worse survival, with a weaker trend (p = 0.063) in the HY subgroup. A similar pattern emerges for CCL27 in the HY and LB subgroups, indicating that in these subgroups, CCR10 ligands likely promote tumor progression within the bone marrow microenvironment. Higher CCR10 expression on MM cells is linked to poorer outcomes in the PR, HY (p = 0.072 trend), LB, MF, and MS subgroups but shows the opposite pattern in MY. Overall, these findings highlight CCR10 as a potential therapeutic target, particularly in the HY and LB subgroups of MM.

4. γ-Chemokines

4.1. XCR1 and Its Ligands XCL1 and XCL2

Ligands for XC motif chemokine receptor 1 (XCR1) are XC motif chemokine ligands (XCL)1 and XCL2 [9], and XCR1 is expressed only on dendritic cells [9,202]. Because of this, the XCL1–XCR1 axis is involved in immune responses. In solid tumors, increased XCL1 expression supports antitumor immunity [203], and higher XCR1 expression in tumors often correlates with a better prognosis in many solid malignancies [204].

4.2. XCR1 and Its Ligands XCL1, XCL2 in MM

Knowledge of the XCL1/XCL2–XCR1 axis in MM is limited. XCL1 appears to exert an anti-MM effect by promoting neutrophil infiltration in the bone marrow, as these cells express XCR1 [205]. The recruited neutrophils initiate an immune cascade that ultimately increases neutrophils, CD4+ T cells, and CD8+ T cells, producing anti-MM activity.
However, there is also evidence that this chemokine axis may have protumor properties in MM. A subset of type I conventional dendritic cells (cDC1s) described as CD11c+CD8a+XCR1+CD11b is recruited into the MM bone marrow microenvironment [206]. These cells can contribute to exhausted CD8+ T cells and an increase in Treg, though it is unclear whether XCL1/XCL2–XCR1 or another axis (for example, CCR7 or CXCR4) is responsible.
A bioinformatic analysis using the KM-plotter portal (https://kmplot.com/analysis, accessed 1 September 2024) with the GSE4204 dataset [17,21] suggests that XCR1 on MM cells plays a role in tumor processes. Higher XCR1 expression in MM cells is linked to worse outcomes, particularly in the CD2, PR, and HY molecular subgroups, while this relationship is reversed in CD1 and MY. In addition, elevated XCL1 expression in MM cells correlates with poorer outcomes in HY and, as a trend (p = 0.072), in PR and (p = 0.094) in LB. This suggests that MM cells might drive an autocrine XCL1–XCR1 loop. Hence, XCL1–XCR1 could be a therapeutic target in MM. Nevertheless, since it typically supports immune responses against pathogens and tumor cells, inhibiting this axis could reduce patient immunity and eliminate antitumor immune functions, leading to potential clinical deterioration of δ-chemokines. However, analyses using the GSE24080 dataset did not confirm the correlation between XCR1 expression in MM cells and prognosis [18,19,20,21].

5. CX3CR1 and CX3CL1

The ligand for CX3C motif chemokine receptor 1 (CX3CR1) is CX3C motif chemokine ligand 1 (CX3CL1) [9], previously known as fractalkine [31]. CX3CR1 is expressed on NK cells, basophils, monocytes, macrophages, dendritic cells, CD8+ T cells, and activated CD4+CD45RO+ T cells [9,207]. CX3CL1 is initially synthesized as a membrane-attached protein that can act as an adhesion molecule for CX3CR1 [208,209]. Its extracellular portion can be cleaved and shed, producing soluble CX3CL1 [210]. Because CX3CL1 expression increases in activated endothelium, the CX3CL1–CX3CR1 axis directs leukocytes to inflammatory sites [208]. It also contributes to osteoclast differentiation [211]. In solid tumors, this axis helps the immune system eliminate cancer cells by promoting infiltration of CD8+ T cells and NK cells [212,213]. However, CX3CL1-CX3CR1 also exhibits protumor effects, such as recruiting M-MDSC [214] and TAM [215] to the tumor niche and inducing angiogenesis by acting on endothelial cells [216].

CX3CR1 and CX3CL1 in MM

Lower CX3CL1 levels in otherwise healthy individuals have been associated with a higher risk of MM [105,106]. Since CX3CL1-CX3CR1 contributes to immune function, particularly via NK cells [209], reduced CX3CL1 may indicate decreased immune surveillance, permitting MGUS or MM to arise. In MM, serum CX3CL1 exceeds levels seen in healthy donors [90]. A similar pattern is observed in bone marrow plasma, where its concentration is higher in MM than in sMM and MGUS, correlating with ISS stage [217]. MM cells themselves typically do not produce large amounts of CX3CL1, but they induce endothelial cells to express more of it, partly via TNF-α [206]. CX3CL1 in the bone marrow correlates with tumor burden [217], indicating a connection to MM progression.
Certain MM lines express CX3CR1 [218], so only some patients’ MM cells may carry it. CX3CL1-CX3CR1 activation in MM cells increases their adhesion to fibronectin and vascular cell adhesion molecule-1 (VCAM-1) [218], which can lead to CAM-DR, and enhances osteoclastogenic factors. However, bone marrow levels of CX3CL1 in MM are not linked to bone disease [217], suggesting a limited role in myeloma bone disease.
Within the MM microenvironment, CX3CL1 levels in the bone marrow are positively associated with microvessel density [217], implying that it contributes to angiogenesis. Still, a bioinformatic analysis using KM-plotter (accessed 1 September 2024) and the GSE4204 [17,21] and GSE24080 datasets [18,19,20,21] indicates that CX3CL1-CX3CR1 is not critical overall for MM tumor processes, as neither CX3CL1 nor CX3CR1 expression in MM cells strongly correlates with prognosis (Table 6 and Table 7). Only in the CD2 and MS molecular subgroups does higher CX3CL1 predict better outcomes, suggesting antitumor potential in specific contexts.

6. Conclusions

Bioinformatic analysis indicates that CXCL17, CCR3, CCR5, and the CCL25–CCR9, CCL27/CCL28–CCR10, and XCL1–XCR1 axes correlate with poorer outcomes in MM patients, especially in the HY and LB molecular subgroups. These chemokines, receptors, and axes thus appear to play important roles in MM tumor processes. However, limited existing research does not fully explain how they drive malignancy. Their association with prognosis suggests they may be promising therapeutic targets. Possible interventions include receptor antagonists, receptor-blocking antibodies, or neutralizing antibodies against specific chemokines. It is important to note that these molecules not only influence MM but also help regulate immune function and may have additional roles unrelated to leukocytes. For this reason, the potential side effects of treatments targeting these proteins must be thoroughly assessed.
Another indication of bioinformatic analysis is the association of high expression of certain chemokines in MM cells with better patient prognosis. Specifically, these chemokines include CXCL16, CCL11, CCL17, CCL21, CCL27, and CX3CL1. These chemokines act on lymphocytes. These chemokines, or more precisely, the lymphocytes affected by these chemokines, participate in the immune and antitumor response. This demonstrates the dynamic nature of the interaction between MM cells and the immune system, as well as the immune system’s active fight against MM. This analysis examined patients with MM receiving standard treatment. A better understanding of this observed interaction will allow for a better understanding of the consequences of anticancer therapy. It will also facilitate the development of immunotherapies against MM, such as CAR T cell therapy. These chemokines may facilitate the migration of CAR T cells to the site of MM cell occupancy. These chemokines also act on other immune cells. These cells may cooperate with CAR T cells during therapy. However, the precise mechanisms remain to be explored. The observed correlations between rarely studied chemokines and tumor mechanisms in MM remain poorly understood. The limited information available and bioinformatic analyses indicate the significant potential of these chemokines in MM therapy. However, without significant interest from the scientific community, progress in MM treatment in this area will not be possible.

7. Limitations

It should be emphasized that the bioinformatics analysis used in this work has several limitations. Therefore, the data presented in our study should be analyzed with caution. The most important point is that the bioinformatics analysis is based on raw expression data from CD138+ MM cells. Therefore, the analysis only demonstrates the effects of chemokines on MM cells and the effects of MM cells on the MM bone marrow microenvironment via chemokines. However, it does not demonstrate the interactions of non-MM cells in the bone marrow of MM patients.

Author Contributions

Conceptualization, J.K. and M.B.; investigation, M.B., K.B. and R.S.; writing—original draft preparation, J.K. and M.B.; writing—review and editing, J.K. and M.B. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the statutory budget of the Department of Biochemistry and Medical Chemistry and Department of Endodontic Surgery, Pomeranian Medical University, Poland and the Institute of Biology, University of Szczecin, Poland.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Weinstock, M.; Aljawai, Y.; Morgan, E.A.; Laubach, J.; Gannon, M.; Roccaro, A.M.; Varga, C.; Mitsiades, C.S.; Paba-Prada, C.; Schlossman, R.; et al. Incidence and clinical features of extramedullary multiple myeloma in patients who underwent stem cell transplantation. Br. J. Haematol. 2015, 169, 851–858. [Google Scholar] [CrossRef]
  2. Bladé, J.; Beksac, M.; Caers, J.; Jurczyszyn, A.; von Lilienfeld-Toal, M.; Moreau, P.; Rasche, L.; Rosiñol, L.; Usmani, S.Z.; Zamagni, E.; et al. Extramedullary disease in multiple myeloma: A systematic literature review. Blood Cancer J. 2022, 12, 45. [Google Scholar] [CrossRef]
  3. Alaggio, R.; Amador, C.; Anagnostopoulos, I.; Attygalle, A.D.; Araujo, I.B.O.; Berti, E.; Bhagat, G.; Borges, A.M.; Boyer, D.; Calaminici, M.; et al. The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms. Leukemia 2022, 36, 1720–1748. [Google Scholar] [CrossRef]
  4. Cowan, A.J.; Allen, C.; Barac, A.; Basaleem, H.; Bensenor, I.; Curado, M.P.; Foreman, K.; Gupta, R.; Harvey, J.; Hosgood, H.D.; et al. Global Burden of Multiple Myeloma: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol. 2018, 4, 1221–1227. [Google Scholar] [CrossRef]
  5. Kyle, R.A.; Therneau, T.M.; Rajkumar, S.V.; Offord, J.R.; Larson, D.R.; Plevak, M.F.; Melton, L.J., 3rd. A long-term study of prognosis in monoclonal gammopathy of undetermined significance. N. Engl. J. Med. 2002, 346, 564–569. [Google Scholar] [CrossRef]
  6. Kaufmann, H.; Ackermann, J.; Baldia, C.; Nösslinger, T.; Wieser, R.; Seidl, S.; Sagaster, V.; Gisslinger, H.; Jäger, U.; Pfeilstöcker, M.; et al. Both IGH translocations and chromosome 13q deletions are early events in monoclonal gammopathy of undetermined significance and do not evolve during transition to multiple myeloma. Leukemia 2004, 18, 1879–1882. [Google Scholar] [CrossRef] [PubMed]
  7. International Myeloma Working Group. Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: A report of the International Myeloma Working Group. Br. J. Haematol. 2003, 121, 749–757. [Google Scholar] [CrossRef]
  8. Rajkumar, S.V.; Dimopoulos, M.A.; Palumbo, A.; Blade, J.; Merlini, G.; Mateos, M.V.; Kumar, S.; Hillengass, J.; Kastritis, E.; Richardson, P.; et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014, 15, e538–e548. [Google Scholar] [CrossRef] [PubMed]
  9. Hughes, C.E.; Nibbs, R.J.B. A guide to chemokines and their receptors. FEBS J. 2018, 285, 2944–2971. [Google Scholar] [CrossRef] [PubMed]
  10. Sierra-Filardi, E.; Nieto, C.; Domínguez-Soto, A.; Barroso, R.; Sánchez-Mateos, P.; Puig-Kroger, A.; López-Bravo, M.; Joven, J.; Ardavín, C.; Rodríguez-Fernández, J.L.; et al. CCL2 shapes macrophage polarization by GM-CSF and M-CSF: Identification of CCL2/CCR2-dependent gene expression profile. J. Immunol. 2014, 192, 3858–3867. [Google Scholar] [CrossRef]
  11. Masuda, S.; Tanaka, M.; Inoue, T.; Ohue-Kitano, R.; Yamakage, H.; Muranaka, K.; Kusakabe, T.; Shimatsu, A.; Hasegawa, K.; Satoh-Asahara, N. Chemokine (C-X-C motif) ligand 1 is a myokine induced by palmitate and is required for myogenesis in mouse satellite cells. Acta Physiol. 2018, 222, e12975. [Google Scholar] [CrossRef] [PubMed]
  12. Sugiyama, T.; Kohara, H.; Noda, M.; Nagasawa, T. Maintenance of the hematopoietic stem cell pool by CXCL12-CXCR4 chemokine signaling in bone marrow stromal cell niches. Immunity 2006, 25, 977–988. [Google Scholar] [CrossRef] [PubMed]
  13. Arendt, L.M.; McCready, J.; Keller, P.J.; Baker, D.D.; Naber, S.P.; Seewaldt, V.; Kuperwasser, C. Obesity promotes breast cancer by CCL2-mediated macrophage recruitment and angiogenesis. Cancer Res. 2013, 73, 6080–6093. [Google Scholar] [CrossRef]
  14. Kuehnemuth, B.; Piseddu, I.; Wiedemann, G.M.; Lauseker, M.; Kuhn, C.; Hofmann, S.; Schmoeckel, E.; Endres, S.; Mayr, D.; Jeschke, U.; et al. CCL1 is a major regulatory T cell attracting factor in human breast cancer. BMC Cancer 2018, 18, 1278. [Google Scholar] [CrossRef] [PubMed]
  15. Chen, D.; Zhan, Y.; Yan, H.; Liang, H.; Yao, F.; Xu, H. Reduced CXCR4 expression in associated with extramedullary and predicts poor survival in newly diagnosed multiple myeloma. Expert Rev. Hematol. 2022, 15, 1017–1021. [Google Scholar] [CrossRef]
  16. Shen, X.; Mailey, B.; Ellenhorn, J.D.; Chu, P.G.; Lowy, A.M.; Kim, J. CC chemokine receptor 9 enhances proliferation in pancreatic intraepithelial neoplasia and pancreatic cancer cells. J. Gastrointest. Surg. 2009, 13, 1955–1962. [Google Scholar] [CrossRef]
  17. Driscoll, J.J.; Pelluru, D.; Lefkimmiatis, K.; Fulciniti, M.; Prabhala, R.H.; Greipp, P.R.; Barlogie, B.; Tai, Y.T.; Anderson, K.C.; Shaughnessy, J.D., Jr.; et al. The sumoylation pathway is dysregulated in multiple myeloma and is associated with adverse patient outcome. Blood 2010, 115, 2827–2834. [Google Scholar] [CrossRef]
  18. Popovici, V.; Chen, W.; Gallas, B.G.; Hatzis, C.; Shi, W.; Samuelson, F.W.; Nikolsky, Y.; Tsyganova, M.; Ishkin, A.; Nikolskaya, T.; et al. Effect of training-sample size and classification difficulty on the accuracy of genomic predictors. Breast Cancer Res. 2010, 12, R5. [Google Scholar] [CrossRef]
  19. Shi, L.; Campbell, G.; Jones, W.D.; Campagne, F.; Wen, Z.; Walker, S.J.; Su, Z.; Chu, T.M.; Goodsaid, F.M.; Pusztai, L.; et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nat. Biotechnol. 2010, 28, 827–838. [Google Scholar] [CrossRef]
  20. Mitchell, J.S.; Li, N.; Weinhold, N.; Försti, A.; Ali, M.; van Duin, M.; Thorleifsson, G.; Johnson, D.C.; Chen, B.; Halvarsson, B.M.; et al. Genome-wide association study identifies multiple susceptibility loci for multiple myeloma. Nat. Commun. 2016, 7, 12050. [Google Scholar] [CrossRef]
  21. Győrffy, B. Integrated analysis of public datasets for the discovery and validation of survival-associated genes in solid tumors. Innovation 2024, 5, 100625. [Google Scholar] [CrossRef]
  22. Zannettino, A.C.; Farrugia, A.N.; Kortesidis, A.; Manavis, J.; To, L.B.; Martin, S.K.; Diamond, P.; Tamamura, H.; Lapidot, T.; Fujii, N.; et al. Elevated serum levels of stromal-derived factor-1alpha are associated with increased osteoclast activity and osteolytic bone disease in multiple myeloma patients. Cancer Res. 2005, 65, 1700–1709. [Google Scholar] [CrossRef]
  23. Vande Broek, I.; Leleu, X.; Schots, R.; Facon, T.; Vanderkerken, K.; Van Camp, B.; Van Riet, I. Clinical significance of chemokine receptor (CCR1, CCR2 and CXCR4) expression in human myeloma cells: The association with disease activity and survival. Haematologica 2006, 91, 200–206. [Google Scholar] [PubMed]
  24. Pappa, C.A.; Tsirakis, G.; Devetzoglou, M.; Zafeiri, M.; Vyzoukaki, R.; Androvitsanea, A.; Xekalou, A.; Sfiridaki, K.; Alexandrakis, M.G. Bone marrow mast cell density correlates with serum levels of VEGF and CXC chemokines ENA-78 and GRO-α in multiple myeloma. Tumour Biol. 2014, 35, 5647–5651. [Google Scholar] [CrossRef]
  25. Cheng, J.; Schmitt, M.; Wuchter, P.; Buss, E.C.; Witzens-Harig, M.; Neben, K.; Hundemer, M.; Hillengass, J.; Alexi, R.; Goldschmidt, H.; et al. Plerixafor is effective given either preemptively or as a rescue strategy in poor stem cell mobilizing patients with multiple myeloma. Transfusion 2015, 55, 275–283. [Google Scholar] [CrossRef]
  26. Robak, P.; Węgłowska, E.; Dróżdż, I.; Mikulski, D.; Jarych, D.; Ferliñska, M.; Wawrzyniak, E.; Misiewicz, M.; Smolewski, P.; Fendler, W.; et al. Cytokine and Chemokine Profile in Patients with Multiple Myeloma Treated with Bortezomib. Mediators Inflamm. 2020, 2020, 1835836. [Google Scholar] [CrossRef] [PubMed]
  27. Gregorova, J.; Vychytilova-Faltejskova, P.; Kramarova, T.; Knechtova, Z.; Almasi, M.; Stork, M.; Pour, L.; Kohoutek, J.; Sevcikova, S. Proteomic analysis of the bone marrow microenvironment in extramedullary multiple myeloma patients. Neoplasma 2022, 69, 412–424. [Google Scholar] [CrossRef]
  28. Wang, H.; Shao, R.; Liu, W.; Peng, S.; Bai, S.; Fu, B.; Zhao, C.; Lu, Y. Integrative analysis identifies CXCL11 as an immune-related prognostic biomarker correlated with cell proliferation and immune infiltration in multiple myeloma microenvironment. Cancer Cell Int. 2022, 22, 187. [Google Scholar] [CrossRef] [PubMed]
  29. Wang, J.; Peng, Z.; Guo, J.; Wang, Y.; Wang, S.; Jiang, H.; Wang, M.; Xie, Y.; Li, X.; Hu, M.; et al. CXCL10 Recruitment of γδ T Cells into the Hypoxic Bone Marrow Environment Leads to IL17 Expression and Multiple Myeloma Progression. Cancer Immunol. Res. 2023, 11, 1384–1399. [Google Scholar] [CrossRef]
  30. Wang, Y.; Lan, T.; Zhang, Q.; Zhou, C.; Liu, P. Myeloma cell-derived CXCL7 facilitates proliferation of tumor cells and occurrence of osteolytic lesions through JAK/STAT3 pathway. Cell Death Dis. 2025, 16, 74. [Google Scholar] [CrossRef]
  31. Zlotnik, A.; Yoshie, O. Chemokines: A new classification system and their role in immunity. Immunity 2000, 12, 121–127. [Google Scholar] [CrossRef]
  32. Cosgrove, J.; Novkovic, M.; Albrecht, S.; Pikor, N.B.; Zhou, Z.; Onder, L.; Mörbe, U.; Cupovic, J.; Miller, H.; Alden, K.; et al. B cell zone reticular cell microenvironments shape CXCL13 gradient formation. Nat. Commun. 2020, 11, 3677. [Google Scholar] [CrossRef]
  33. Wang, B.; Wang, M.; Ao, D.; Wei, X. CXCL13-CXCR5 axis: Regulation in inflammatory diseases and cancer. Biochim. Biophys. Acta Rev. Cancer 2022, 1877, 188799. [Google Scholar] [CrossRef] [PubMed]
  34. Zhang, G.; Miao, F.; Xu, J.; Wang, R. Mesenchymal stem cells from bone marrow regulate invasion and drug resistance of multiple myeloma cells by secreting chemokine CXCL13. Bosn. J. Basic. Med. Sci. 2020, 20, 209–217. [Google Scholar] [CrossRef] [PubMed]
  35. Dürig, J.; Schmücker, U.; Dührsen, U. Differential expression of chemokine receptors in B cell malignancies. Leukemia 2001, 15, 752–756. [Google Scholar] [CrossRef]
  36. Nakayama, T.; Hieshima, K.; Izawa, D.; Tatsumi, Y.; Kanamaru, A.; Yoshie, O. Cutting edge: Profile of chemokine receptor expression on human plasma cells accounts for their efficient recruitment to target tissues. J. Immunol. 2003, 170, 1136–1140. [Google Scholar] [CrossRef] [PubMed]
  37. López-Giral, S.; Quintana, N.E.; Cabrerizo, M.; Alfonso-Pérez, M.; Sala-Valdés, M.; De Soria, V.G.; Fernández-Rañada, J.M.; Fernández-Ruiz, E.; Muñoz, C. Chemokine receptors that mediate B cell homing to secondary lymphoid tissues are highly expressed in B cell chronic lymphocytic leukemia and non-Hodgkin lymphomas with widespread nodular dissemination. J. Leukoc. Biol. 2004, 76, 462–471. [Google Scholar] [CrossRef]
  38. Trentin, L.; Miorin, M.; Facco, M.; Baesso, I.; Carraro, S.; Cabrelle, A.; Maschio, N.; Bortoli, M.; Binotto, G.; Piazza, F.; et al. Multiple myeloma plasma cells show different chemokine receptor profiles at sites of disease activity. Br. J. Haematol. 2007, 138, 594–602. [Google Scholar] [CrossRef]
  39. Yue, Z.; Zhou, Y.; Zhao, P.; Chen, Y.; Yuan, Y.; Jing, Y.; Wang, X. p53 Deletion promotes myeloma cells invasion by upregulating miR19a/CXCR5. Leuk Res. 2017, 60, 115–122. [Google Scholar] [CrossRef]
  40. Beider, K.; Voevoda-Dimenshtein, V.; Zoabi, A.; Rosenberg, E.; Magen, H.; Ostrovsky, O.; Shimoni, A.; Weiss, L.; Abraham, M.; Peled, A.; et al. CXCL13 chemokine is a novel player in multiple myeloma osteolytic microenvironment, M2 macrophage polarization, and tumor progression. J. Hematol. Oncol. 2022, 15, 144. [Google Scholar] [CrossRef]
  41. Wang, Y.; Weng, X.; Wang, L.; Hao, M.; Li, Y.; Hou, L.; Liang, Y.; Wu, T.; Yao, M.; Lin, G.; et al. HIC1 deletion promotes breast cancer progression by activating tumor cell/fibroblast crosstalk. J. Clin. Invest. 2018, 128, 5235–5250. [Google Scholar] [CrossRef] [PubMed]
  42. Chang, T.M.; Chiang, Y.C.; Lee, C.W.; Lin, C.M.; Fang, M.L.; Chi, M.C.; Liu, J.F.; Kou, Y.R. CXCL14 promotes metastasis of non-small cell lung cancer through ACKR2-depended signaling pathway. Int. J. Biol. Sci. 2023, 19, 1455–1470. [Google Scholar] [CrossRef]
  43. Wei, S.T.; Chiang, J.Y.; Wang, H.L.; Lei, F.J.; Huang, Y.C.; Wang, C.C.; Cho, D.Y.; Hsieh, C.H. Hypoxia-induced CXC chemokine ligand 14 expression drives protumorigenic effects through activation of insulin-like growth factor-1 receptor signaling in glioblastoma. Cancer Sci. 2023, 114, 174–186. [Google Scholar] [CrossRef]
  44. Miyajima, R.; Tanegashima, K.; Naruse, N.; Denda, M.; Hara, T.; Otaka, A. Identification of Low-Density Lipoprotein Receptor-Related Protein 1 as a CXCL14 Receptor Using Chemically Synthesized Tetrafunctional Probes. ACS Chem. Biol. 2024, 19, 551–562. [Google Scholar] [CrossRef] [PubMed]
  45. Witte, A.; Rohlfing, A.K.; Dannenmann, B.; Dicenta, V.; Nasri, M.; Kolb, K.; Sudmann, J.; Castor, T.; Rath, D.; Borst, O.; et al. The chemokine CXCL14 mediates platelet function and migration via direct interaction with CXCR4. Cardiovasc Res. 2021, 117, 903–917. [Google Scholar] [CrossRef]
  46. Otte, M.; Kliewer, A.; Schütz, D.; Reimann, C.; Schulz, S.; Stumm, R. CXCL14 is no direct modulator of CXCR4. FEBS Lett. 2014, 588, 4769–4775. [Google Scholar] [CrossRef]
  47. Tanegashima, K.; Takahashi, R.; Nuriya, H.; Iwase, R.; Naruse, N.; Tsuji, K.; Shigenaga, A.; Otaka, A.; Hara, T. CXCL14 Acts as a Specific Carrier of CpG DNA into Dendritic Cells and Activates Toll-like Receptor 9-mediated Adaptive Immunity. EBioMedicine 2017, 24, 247–256. [Google Scholar] [CrossRef]
  48. Gowhari Shabgah, A.; Haleem Al-Qaim, Z.; Markov, A.; Valerievich Yumashev, A.; Ezzatifar, F.; Ahmadi, M.; Mohammad Gheibihayat, S.; Gholizadeh Navashenaq, J. Chemokine CXCL14; a double-edged sword in cancer development. Int. Immunopharmacol. 2021, 97, 107681. [Google Scholar] [CrossRef]
  49. Gibbs, C.; So, J.Y.; Ahad, A.; Michalowski, A.M.; Son, D.S.; Li, Y. CXCL14 Attenuates Triple-Negative Breast Cancer Progression by Regulating Immune Profiles of the Tumor Microenvironment in a T Cell-Dependent Manner. Int. J. Mol. Sci. 2022, 23, 9314. [Google Scholar] [CrossRef]
  50. Shellenberger, T.D.; Wang, M.; Gujrati, M.; Jayakumar, A.; Strieter, R.M.; Burdick, M.D.; Ioannides, C.G.; Efferson, C.L.; El-Naggar, A.K.; Roberts, D.; et al. BRAK/CXCL14 is a potent inhibitor of angiogenesis and a chemotactic factor for immature dendritic cells. Cancer Res. 2004, 64, 8262–8270. [Google Scholar] [CrossRef] [PubMed]
  51. Dolinska, M.; Cai, H.; Månsson, A.; Shen, J.; Xiao, P.; Bouderlique, T.; Li, X.; Leonard, E.; Chang, M.; Gao, Y.; et al. Characterization of the bone marrow niche in patients with chronic myeloid leukemia identifies CXCL14 as a new therapeutic option. Blood 2023, 142, 73–89. [Google Scholar] [CrossRef]
  52. Shimaoka, T.; Nakayama, T.; Fukumoto, N.; Kume, N.; Takahashi, S.; Yamaguchi, J.; Minami, M.; Hayashida, K.; Kita, T.; Ohsumi, J.; et al. Cell surface-anchored SR-PSOX/CXC chemokine ligand 16 mediates firm adhesion of CXC chemokine receptor 6-expressing cells. J. Leukoc. Biol. 2004, 75, 267–274. [Google Scholar] [CrossRef]
  53. Matloubian, M.; David, A.; Engel, S.; Ryan, J.E.; Cyster, J.G. A transmembrane CXC chemokine is a ligand for HIV-coreceptor Bonzo. Nat. Immunol. 2000, 1, 298–304. [Google Scholar] [CrossRef]
  54. Gowhari Shabgah, A.; Qasim, M.T.; Mojtaba Mostafavi, S.; Olegovna Zekiy, A.; Ezzatifar, F.; Ahmadi, M.; Mohammadian Haftcheshmeh, S.; Gholizadeh Navashenaq, J. CXC chemokine ligand 16: A Swiss army knife chemokine in cancer. Expert Rev. Mol. Med. 2021, 23, e4. [Google Scholar] [CrossRef]
  55. Fang, Y.; Henderson, F.C., Jr.; Yi, Q.; Lei, Q.; Li, Y.; Chen, N. Chemokine CXCL16 expression suppresses migration and invasiveness and induces apoptosis in breast cancer cells. Mediators Inflamm. 2014, 2014, 478641. [Google Scholar] [CrossRef] [PubMed]
  56. Maravillas-Montero, J.L.; Burkhardt, A.M.; Hevezi, P.A.; Carnevale, C.D.; Smit, M.J.; Zlotnik, A. Cutting edge: GPR35/CXCR8 is the receptor of the mucosal chemokine CXCL17. J. Immunol. 2015, 194, 29–33. [Google Scholar] [CrossRef] [PubMed]
  57. De Giovanni, M.; Tam, H.; Valet, C.; Xu, Y.; Looney, M.R.; Cyster, J.G. GPR35 promotes neutrophil recruitment in response to serotonin metabolite 5-HIAA. Cell 2022, 185, 815–830.e19. [Google Scholar] [CrossRef]
  58. Hashemi, S.F.; Khorramdelazad, H. The cryptic role of CXCL17/CXCR8 axis in the pathogenesis of cancers: A review of the latest evidence. J. Cell Commun. Signal. 2023, 17, 409–422. [Google Scholar] [CrossRef] [PubMed]
  59. Giblin, S.P.; Ranawana, S.; Hassibi, S.; Birchenough, H.L.; Mincham, K.T.; Snelgrove, R.J.; Tsuchiya, T.; Kanegasaki, S.; Dyer, D.; Pease, J.E. CXCL17 binds efficaciously to glycosaminoglycans with the potential to modulate chemokine signaling. Front. Immunol. 2023, 14, 1254697. [Google Scholar] [CrossRef]
  60. Guo, Y.J.; Zhou, Y.J.; Yang, X.L.; Shao, Z.M.; Ou, Z.L. The role and clinical significance of the CXCL17-CXCR8 (GPR35) axis in breast cancer. Biochem. Biophys. Res. Commun. 2017, 493, 1159–1167. [Google Scholar] [CrossRef]
  61. Yao, H.; Lv, Y.; Bai, X.; Yu, Z.; Liu, X. Prognostic value of CXCL17 and CXCR8 expression in patients with colon cancer. Oncol. Lett. 2020, 20, 2711–2720. [Google Scholar] [CrossRef]
  62. Hao, J.; Gao, X.; Wang, Y.P.; Liu, Q.; Zhu, H.; Zhao, S.J.; Qin, Q.H.; Meng, J.; Li, L.L.; Lin, S.C.; et al. Expression and clinical significance of CXCL17 and GPR35 in endometrial carcinoma. Anti Cancer Drugs 2022, 33, 467–477. [Google Scholar] [CrossRef]
  63. Choi, S.J.; Cruz, J.C.; Craig, F.; Chung, H.; Devlin, R.D.; Roodman, G.D.; Alsina, M. Macrophage inflammatory protein 1-alpha is a potential osteoclast stimulatory factor in multiple myeloma. Blood 2000, 96, 671–675. [Google Scholar] [CrossRef]
  64. Tsubaki, M.; Kato, C.; Isono, A.; Kaneko, J.; Isozaki, M.; Satou, T.; Itoh, T.; Kidera, Y.; Tanimori, Y.; Yanae, M.; et al. Macrophage inflammatory protein-1α induces osteoclast formation by activation of the MEK/ERK/c-Fos pathway and inhibition of the p38MAPK/IRF-3/IFN-β pathway. J. Cell Biochem. 2010, 111, 1661–1672. [Google Scholar] [CrossRef]
  65. Vallet, S.; Pozzi, S.; Patel, K.; Vaghela, N.; Fulciniti, M.T.; Veiby, P.; Hideshima, T.; Santo, L.; Cirstea, D.; Scadden, D.T.; et al. A novel role for CCL3 (MIP-1α) in myeloma-induced bone disease via osteocalcin downregulation and inhibition of osteoblast function. Leukemia 2011, 25, 1174–1181. [Google Scholar] [CrossRef]
  66. Anloague, A.; Sabol, H.M.; Kaur, J.; Khan, S.; Ashby, C.; Schinke, C.; Barnes, C.L.; Alturkmani, F.; Ambrogini, E.; Gundesen, M.T.; et al. A novel CCL3-HMGB1 signaling axis regulating osteocyte RANKL expression in multiple myeloma. Haematologica 2025, 110, 952–966. [Google Scholar] [CrossRef]
  67. Luyckx, B.; Van Trimpont, M.; Declerck, F.; Staessens, E.; Verhee, A.; T’Sas, S.; Eyckerman, S.; Offner, F.; Van Vlierberghe, P.; Goossens, S.; et al. CCR1 inhibition sensitizes multiple myeloma cells to glucocorticoid therapy. Pharmacol. Res. 2025, 215, 107709. [Google Scholar] [CrossRef]
  68. Zeissig, M.N.; Hewett, D.R.; Mrozik, K.M.; Panagopoulos, V.; Wallington-Gates, C.T.; Spencer, A.; Dold, S.M.; Engelhardt, M.; Vandyke, K.; Zannettino, A.C.W. Expression of the chemokine receptor CCR1 decreases sensitivity to bortezomib in multiple myeloma cell lines. Leuk. Res. 2024, 139, 107469. [Google Scholar] [CrossRef] [PubMed]
  69. Tsubaki, M.; Takeda, T.; Tomonari, Y.; Mashimo, K.; Koumoto, Y.I.; Hoshida, S.; Itoh, T.; Imano, M.; Satou, T.; Sakaguchi, K.; et al. The MIP-1α autocrine loop contributes to decreased sensitivity to anticancer drugs. J. Cell Physiol. 2018, 233, 4258–4271. [Google Scholar] [CrossRef] [PubMed]
  70. Wang, Y.; Gao, A.; Zhao, H.; Lu, P.; Cheng, H.; Dong, F.; Gong, Y.; Ma, S.; Zheng, Y.; Zhang, H.; et al. Leukemia cell infiltration causes defective erythropoiesis partially through MIP-1α/CCL3. Leukemia 2016, 30, 1897–1908. [Google Scholar] [CrossRef] [PubMed]
  71. Liu, L.; Yu, Z.; Cheng, H.; Mao, X.; Sui, W.; Deng, S.; Wei, X.; Lv, J.; Du, C.; Xu, J.; et al. Multiple myeloma hinders erythropoiesis and causes anaemia owing to high levels of CCL3 in the bone marrow microenvironment. Sci. Rep. 2020, 10, 20508. [Google Scholar] [CrossRef]
  72. Uguccioni, M.; D’Apuzzo, M.; Loetscher, M.; Dewald, B.; Baggiolini, M. Actions of the chemotactic cytokines MCP-1, MCP-2, MCP-3, RANTES, MIP-1 alpha and MIP-1 beta on human monocytes. Eur. J. Immunol. 1995, 25, 64–68. [Google Scholar] [CrossRef]
  73. Meter, R.A.; Wira, C.R.; Fahey, J.V. Secretion of monocyte chemotactic protein-1 by human uterine epithelium directs monocyte migration in culture. Fertil. Steril. 2005, 84, 191–201. [Google Scholar] [CrossRef] [PubMed]
  74. Puukila, S.; Lawrence, M.D.; De Pasquale, C.G.; Bersten, A.D.; Bihari, S.; McEvoy-May, J.; Nemec-Bakk, A.; Dixon, D.L. Monocyte chemotactic protein (MCP)-1 (CCL2) and its receptor (CCR2) are elevated in chronic heart failure facilitating lung monocyte infiltration and differentiation which may contribute to lung fibrosis. Cytokine 2023, 161, 156060. [Google Scholar] [CrossRef]
  75. Dahinden, C.A.; Geiser, T.; Brunner, T.; von Tscharner, V.; Caput, D.; Ferrara, P.; Minty, A.; Baggiolini, M. Monocyte chemotactic protein 3 is a most effective basophil- and eosinophil-activating chemokine. J. Exp. Med. 1994, 179, 751–756. [Google Scholar] [CrossRef] [PubMed]
  76. Ding, M.; He, S.J.; Yang, J. MCP-1/CCL2 Mediated by Autocrine Loop of PDGF-BB Promotes Invasion of Lung Cancer Cell by Recruitment of Macrophages Via CCL2-CCR2 Axis. J. Interferon Cytokine Res. 2019, 39, 224–232. [Google Scholar] [CrossRef]
  77. Gu, H.; Deng, W.; Zheng, Z.; Wu, K.; Sun, F. CCL2 produced by pancreatic ductal adenocarcinoma is essential for the accumulation and activation of monocytic myeloid-derived suppressor cells. Immun. Inflamm. Dis. 2021, 9, 1686–1695. [Google Scholar] [CrossRef]
  78. Driss, V.; Quesnel, B.; Brinster, C. Monocyte chemoattractant protein 1 (MCP-1/CCL2) contributes to thymus atrophy in acute myeloid leukemia. Eur. J. Immunol. 2015, 45, 396–406. [Google Scholar] [CrossRef] [PubMed]
  79. Vanderkerken, K.; Vande Broek, I.; Eizirik, D.L.; Van Valckenborgh, E.; Asosingh, K.; Van Riet, I.; Van Camp, B. Monocyte chemoattractant protein-1 (MCP-1), secreted by bone marrow endothelial cells, induces chemoattraction of 5T multiple myeloma cells. Clin. Exp. Metastasis 2002, 19, 87–90. [Google Scholar] [CrossRef]
  80. Vande Broek, I.; Asosingh, K.; Vanderkerken, K.; Straetmans, N.; Van Camp, B.; Van Riet, I. Chemokine receptor CCR2 is expressed by human multiple myeloma cells and mediates migration to bone marrow stromal cell-produced monocyte chemotactic proteins MCP-1, -2 and -3. Br. J. Cancer. 2003, 88, 855–862. [Google Scholar] [CrossRef]
  81. Jöhrer, K.; Janke, K.; Krugmann, J.; Fiegl, M.; Greil, R. Transendothelial migration of myeloma cells is increased by tumor necrosis factor (TNF)-alpha via TNF receptor 2 and autocrine up-regulation of MCP-1. Clin. Cancer Res. 2004, 10, 1901–1910. [Google Scholar] [CrossRef] [PubMed]
  82. Pellegrino, A.; Ria, R.; Di Pietro, G.; Cirulli, T.; Surico, G.; Pennisi, A.; Morabito, F.; Ribatti, D.; Vacca, A. Bone marrow endothelial cells in multiple myeloma secrete CXC-chemokines that mediate interactions with plasma cells. Br. J. Haematol. 2005, 129, 248–256. [Google Scholar] [CrossRef] [PubMed]
  83. Valković, T.; Babarović, E.; Lučin, K.; Štifter, S.; Aralica, M.; Seili-Bekafigo, I.; Duletić-Načinović, A.; Jonjić, N. Plasma Levels of Monocyte Chemotactic Protein-1 Are Associated with Clinical Features and Angiogenesis in Patients with Multiple Myeloma. Biomed. Res. Int. 2016, 2016, 7870590. [Google Scholar] [CrossRef]
  84. Mielnik, M.; Szudy-Szczyrek, A.; Homa-Mlak, I.; Mlak, R.; Podgajna-Mielnik, M.; Gorący, A.; Małecka-Massalska, T.; Hus, M. The Clinical Relevance of Selected Cytokines in Newly Diagnosed Multiple Myeloma Patients. Biomedicines 2023, 11, 3012. [Google Scholar] [CrossRef]
  85. Mielnik, M.; Podgajna-Mielnik, M.; Szudy-Szczyrek, A.; Homa-Mlak, I.; Mlak, R.; Gorący, A.; Hus, M. Predicting chemotherapy toxicity in multiple myeloma: The prognostic value of pre-treatment serum cytokine levels of interleukin-6, interleukin-8, monocyte chemoattractant protein-1, and vascular endothelial growth factor. Front. Immunol. 2024, 15, 1377546. [Google Scholar] [CrossRef] [PubMed]
  86. Mosevoll, K.A.; Akkök, Ç.A.; Hervig, T.; Melve, G.K.; Bruserud, Ø.; Reikvam, H. Stem cell mobilization and harvesting by leukapheresis alters systemic cytokine levels in patients with multiple myeloma. Cytotherapy 2013, 15, 850–860. [Google Scholar] [CrossRef]
  87. Goodyear, O.C.; Essex, S.; Seetharam, A.; Basu, S.; Moss, P.; Pratt, G. Neoplastic plasma cells generate an inflammatory environment within bone marrow and markedly alter the distribution of T cells between lymphoid compartments. Oncotarget 2017, 8, 30383–30394. [Google Scholar] [CrossRef][Green Version]
  88. Xu, R.; Li, Y.; Yan, H.; Zhang, E.; Huang, X.; Chen, Q.; Chen, J.; Qu, J.; Liu, Y.; He, J.; et al. CCL2 promotes macrophages-associated chemoresistance via MCPIP1 dual catalytic activities in multiple myeloma. Cell Death Dis. 2019, 10, 781. [Google Scholar] [CrossRef]
  89. Cheng, Q.; Zhao, F.; Zhang, B.; Zhang, Y.; Cai, L.; Qiao, B.; Hu, Y.; Sun, C. Prognostic nomogram incorporating cytokines for overall survival in patients with newly diagnosed multiple myeloma. Int. Immunopharmacol. 2021, 99, 108016. [Google Scholar] [CrossRef]
  90. Huang, Y.; Huang, J.; Zhang, P.; Luo, J.; Cheng, P.; Miao, L.; Lai, Y. Integrated analysis of hub gene expression in multiple myeloma. J. BUON 2021, 26, 2040–2052. [Google Scholar]
  91. Cao, Y.; Luetkens, T.; Kobold, S.; Hildebrandt, Y.; Gordic, M.; Lajmi, N.; Meyer, S.; Bartels, K.; Zander, A.R.; Bokemeyer, C.; et al. The cytokine/chemokine pattern in the bone marrow environment of multiple myeloma patients. Exp. Hematol. 2010, 38, 860–867. [Google Scholar] [CrossRef]
  92. Li, Y.; Zheng, Y.; Li, T.; Wang, Q.; Qian, J.; Lu, Y.; Zhang, M.; Bi, E.; Yang, M.; Reu, F.; et al. Chemokines CCL2, 3, 14 stimulate macrophage bone marrow homing, proliferation, and polarization in multiple myeloma. Oncotarget 2015, 6, 24218–24229. [Google Scholar] [CrossRef]
  93. Kline, M.; Donovan, K.; Wellik, L.; Lust, C.; Jin, W.; Moon-Tasson, L.; Xiong, Y.; Witzig, T.E.; Kumar, S.; Rajkumar, S.V.; et al. Cytokine and chemokine profiles in multiple myeloma; significance of stromal interaction and correlation of IL-8 production with disease progression. Leuk. Res. 2007, 31, 591–598. [Google Scholar] [CrossRef] [PubMed]
  94. De Luisi, A.; Binetti, L.; Ria, R.; Ruggieri, S.; Berardi, S.; Catacchio, I.; Racanelli, V.; Pavone, V.; Rossini, B.; Vacca, A.; et al. Erythropoietin is involved in the angiogenic potential of bone marrow macrophages in multiple myeloma. Angiogenesis 2013, 16, 963–973. [Google Scholar] [CrossRef]
  95. Liu, Z.; Xu, J.; Li, H.; Zheng, Y.; He, J.; Liu, H.; Zhong, Y.; Lu, Y.; Hong, B.; Zhang, M.; et al. Bone marrow stromal cells derived MCP-1 reverses the inhibitory effects of multiple myeloma cells on osteoclastogenesis by upregulating the RANK expression. PLoS ONE 2013, 8, e82453. [Google Scholar] [CrossRef]
  96. De Veirman, K.; Wang, J.; Xu, S.; Leleu, X.; Himpe, E.; Maes, K.; De Bruyne, E.; Van Valckenborgh, E.; Vanderkerken, K.; Menu, E.; et al. Induction of miR-146a by multiple myeloma cells in mesenchymal stromal cells stimulates their pro-tumoral activity. Cancer Lett. 2016, 377, 17–24. [Google Scholar] [CrossRef] [PubMed]
  97. Hu, H.J.; Lu, H.; Fei, X.M.; Li, J.X.; Li, J.Y. Chemotaxis-related factors are expressed abnormally in bone marrow mesenchymal stem cells of multiple myeloma patients. Zhongguo Shi Yan Xue Ye Xue Za Zhi 2011, 19, 59–63. [Google Scholar]
  98. Silvestris, F.; Cafforio, P.; Calvani, N.; Dammacco, F. Impaired osteoblastogenesis in myeloma bone disease: Role of upregulated apoptosis by cytokines and malignant plasma cells. Br. J. Haematol. 2004, 126, 475–486. [Google Scholar] [CrossRef]
  99. Moreaux, J.; Hose, D.; Kassambara, A.; Reme, T.; Moine, P.; Requirand, G.; Goldschmidt, H.; Klein, B. Osteoclast-gene expression profiling reveals osteoclast-derived CCR2 chemokines promoting myeloma cell migration. Blood 2011, 117, 1280–1290. [Google Scholar] [CrossRef]
  100. Beider, K.; Bitner, H.; Leiba, M.; Gutwein, O.; Koren-Michowitz, M.; Ostrovsky, O.; Abraham, M.; Wald, H.; Galun, E.; Peled, A.; et al. Multiple myeloma cells recruit tumor-supportive macrophages through the CXCR4/CXCL12 axis and promote their polarization toward the M2 phenotype. Oncotarget 2014, 5, 11283–11296. [Google Scholar] [CrossRef] [PubMed]
  101. Chen, X.Y.; Sun, R.X.; Zhang, W.Y.; Liu, T.; Zheng, Y.H.; Wu, Y. Molecular mechanisms and relationship of M2-polarized macrophages with early response in multiple myeloma. Zhonghua Xue Ye Xue Za Zhi 2017, 38, 480–486. [Google Scholar] [CrossRef]
  102. López-Corral, L.; Corchete, L.A.; Sarasquete, M.E.; Mateos, M.V.; García-Sanz, R.; Fermiñán, E.; Lahuerta, J.J.; Bladé, J.; Oriol, A.; Teruel, A.I.; et al. Transcriptome analysis reveals molecular profiles associated with evolving steps of monoclonal gammopathies. Haematologica 2014, 99, 1365–1372. [Google Scholar] [CrossRef] [PubMed]
  103. Botta, C.; Di Martino, M.T.; Ciliberto, D.; Cucè, M.; Correale, P.; Rossi, M.; Tagliaferri, P.; Tassone, P. A gene expression inflammatory signature specifically predicts multiple myeloma evolution and patients survival. Blood Cancer J. 2016, 6, e511. [Google Scholar] [CrossRef] [PubMed]
  104. Hofmann, J.N.; Landgren, O.; Landy, R.; Kemp, T.J.; Santo, L.; McShane, C.M.; Shearer, J.J.; Lan, Q.; Rothman, N.; Pinto, L.A.; et al. A Prospective Study of Circulating Chemokines and Angiogenesis Markers and Risk of Multiple Myeloma and Its Precursor. JNCI Cancer Spectr. 2019, 4, pkz104. [Google Scholar] [CrossRef]
  105. Vermeulen, R.; Saberi Hosnijeh, F.; Bodinier, B.; Portengen, L.; Liquet, B.; Garrido-Manriquez, J.; Lokhorst, H.; Bergdahl, I.A.; Kyrtopoulos, S.A.; Johansson, A.S.; et al. Pre-diagnostic blood immune markers, incidence and progression of B-cell lymphoma and multiple myeloma: Univariate and functionally informed multivariate analyses. Int. J. Cancer. 2018, 143, 1335–1347. [Google Scholar] [CrossRef]
  106. Späth, F.; Wibom, C.; Krop, E.J.M.; Santamaria, A.I.; Johansson, A.S.; Bergdahl, I.A.; Hultdin, J.; Vermeulen, R.; Melin, B. Immune marker changes and risk of multiple myeloma: A nested case-control study using repeated pre-diagnostic blood samples. Haematologica 2019, 104, 2456–2464. [Google Scholar] [CrossRef]
  107. Proost, P.; Wuyts, A.; Van Damme, J. Human monocyte chemotactic proteins-2 and -3: Structural and functional comparison with MCP-1. J. Leukoc. Biol. 1996, 59, 67–74. [Google Scholar] [CrossRef]
  108. Expósito Vizcaíno, S.; Casanova-Mollà, J.; Escoda, L.; Galán, S.; Miró, J. Neuropathic pain in cancer patients treated with bortezomib. Neurologia 2018, 33, 28–34. [Google Scholar] [CrossRef] [PubMed]
  109. Łuczkowska, K.; Rutka, M.; Rogiñska, D.; Paczkowska, E.; Baumert, B.; Milczarek, S.; Górska, M.; Kulig, P.; Osękowska, B.; Janowski, M.; et al. The Potential Role of Proinflammatory Cytokines and Complement Components in the Development of Drug-Induced Neuropathy in Patients with Multiple Myeloma. J. Clin. Med. 2021, 10, 4584. [Google Scholar] [CrossRef]
  110. Yamamoto, S.; Egashira, N. Pathological Mechanisms of Bortezomib-Induced Peripheral Neuropathy. Int. J. Mol. Sci. 2021, 22, 888. [Google Scholar] [CrossRef]
  111. Liu, C.; Luan, S.; OuYang, H.; Huang, Z.; Wu, S.; Ma, C.; Wei, J.; Xin, W. Upregulation of CCL2 via ATF3/c-Jun interaction mediated the Bortezomib-induced peripheral neuropathy. Brain Behav. Immun. 2016, 53, 96–104. [Google Scholar] [CrossRef]
  112. White, J.R.; Imburgia, C.; Dul, E.; Appelbaum, E.; O‘Donnell, K.; O‘Shannessy, D.J.; Brawner, M.; Fornwald, J.; Adamou, J.; Elshourbagy, N.A.; et al. Cloning and functional characterization of a novel human CC chemokine that binds to the CCR3 receptor and activates human eosinophils. J. Leukoc. Biol. 1997, 62, 667–675. [Google Scholar] [CrossRef] [PubMed]
  113. Menzies-Gow, A.; Ying, S.; Sabroe, I.; Stubbs, V.L.; Soler, D.; Williams, T.J.; Kay, A.B. Eotaxin (CCL11) and eotaxin-2 (CCL24) induce recruitment of eosinophils, basophils, neutrophils, and macrophages as well as features of early- and late-phase allergic reactions following cutaneous injection in human atopic and nonatopic volunteers. J. Immunol. 2002, 169, 2712–2718. [Google Scholar] [CrossRef] [PubMed]
  114. Tian, M.; Chen, L.; Ma, L.; Wang, D.; Shao, B.; Wu, J.; Wu, H.; Jin, Y. Expression and prognostic significance of CCL11/CCR3 in glioblastoma. Oncotarget 2016, 7, 32617–32627. [Google Scholar] [CrossRef]
  115. Park, J.Y.; Kang, Y.W.; Choi, B.Y.; Yang, Y.C.; Cho, B.P.; Cho, W.G. CCL11 promotes angiogenic activity by activating the PI3K/Akt pathway in HUVECs. J. Recept. Signal Transduct. Res. 2017, 37, 416–421. [Google Scholar] [CrossRef]
  116. Xing, Y.; Tian, Y.; Kurosawa, T.; Matsui, S.; Touma, M.; Yanai, T.; Wu, Q.; Sugimoto, K. CCL11-induced eosinophils inhibit the formation of blood vessels and cause tumor necrosis. Genes Cells 2016, 21, 624–638. [Google Scholar] [CrossRef]
  117. Yoshie, O.; Matsushima, K. CCR4 and its ligands: From bench to bedside. Int. Immunol. 2015, 27, 11–20. [Google Scholar] [CrossRef] [PubMed]
  118. Chang, D.K.; Peterson, E.; Sun, J.; Goudie, C.; Drapkin, R.I.; Liu, J.F.; Matulonis, U.; Zhu, Q.; Marasco, W.A. Anti-CCR4 monoclonal antibody enhances antitumor immunity by modulating tumor-infiltrating Tregs in an ovarian cancer xenograft humanized mouse model. Oncoimmunology 2015, 5, e1090075. [Google Scholar] [CrossRef]
  119. Maeda, S.; Murakami, K.; Inoue, A.; Yonezawa, T.; Matsuki, N. CCR4 Blockade Depletes Regulatory T Cells and Prolongs Survival in a Canine Model of Bladder Cancer. Cancer Immunol. Res. 2019, 7, 1175–1187. [Google Scholar] [CrossRef] [PubMed]
  120. Watanabe, M.; Kanao, K.; Suzuki, S.; Muramatsu, H.; Morinaga, S.; Kajikawa, K.; Kobayashi, I.; Nishikawa, G.; Kato, Y.; Zennami, K.; et al. Increased infiltration of CCR4-positive regulatory T cells in prostate cancer tissue is associated with a poor prognosis. Prostate 2019, 79, 1658–1665. [Google Scholar] [CrossRef]
  121. Okada, N.; Sasaki, A.; Niwa, M.; Okada, Y.; Hatanaka, Y.; Tani, Y.; Mizuguchi, H.; Nakagawa, S.; Fujita, T.; Yamamoto, A. Tumor suppressive efficacy through augmentation of tumor-infiltrating immune cells by intratumoral injection of chemokine-expressing adenoviral vector. Cancer Gene Ther. 2006, 13, 393–405. [Google Scholar] [CrossRef][Green Version]
  122. Cho, S.; Koizumi, K.; Takeno, N.; Kato, S.; Yamada, M.; Hashimoto, I.; Sakurai, H.; Tsukada, K.; Saiki, I. Anti-tumor effect of combining CC chemokine 22 and an anti-CD25 antibody on myeloma cells implanted subcutaneously into mice. Mol. Med. Rep. 2009, 2, 773–777. [Google Scholar] [CrossRef]
  123. Wang, J.N.; Cao, X.X.; Zhao, A.L.; Cai, H.; Wang, X.; Li, J. Increased activated regulatory T cell subsets and aging Treg-like cells in multiple myeloma and monoclonal gammopathy of undetermined significance: A case control study. Cancer Cell Int. 2018, 18, 187. [Google Scholar] [CrossRef]
  124. Kobari, L.; Auclair, M.; Piau, O.; Ferrand, N.; Zaoui, M.; Delhommeau, F.; Fève, B.; Sabbah, M.; Garderet, L. Circulating cytokines present in multiple myeloma patients inhibit the osteoblastic differentiation of adipose stem cells. Leukemia 2022, 36, 540–548. [Google Scholar] [CrossRef] [PubMed]
  125. Phan, V.; Ito, T.; Inaba, M.; Azuma, Y.; Kibata, K.; Inagaki-Katashiba, N.; Tanaka, A.; Satake, A.; Nomura, S. Immunomodulatory drugs suppress Th1-inducing ability of dendritic cells but enhance Th2-mediated allergic responses. Blood Adv. 2020, 4, 3572–3585. [Google Scholar] [CrossRef]
  126. Taub, D.D.; Conlon, K.; Lloyd, A.R.; Oppenheim, J.J.; Kelvin, D.J. Preferential migration of activated CD4+ and CD8+ T cells in response to MIP-1 alpha and MIP-1 beta. Science 1993, 260, 355–358. [Google Scholar] [CrossRef] [PubMed]
  127. Taub, D.D.; Sayers, T.J.; Carter, C.R.; Ortaldo, J.R. Alpha and beta chemokines induce NK cell migration and enhance NK-mediated cytolysis. J. Immunol. 1995, 155, 3877–3888. [Google Scholar] [CrossRef]
  128. Lavergne, E.; Combadière, C.; Iga, M.; Boissonnas, A.; Bonduelle, O.; Maho, M.; Debré, P.; Combadiere, B. Intratumoral CC chemokine ligand 5 overexpression delays tumor growth and increases tumor cell infiltration. J. Immunol. 2004, 173, 3755–3762. [Google Scholar] [CrossRef] [PubMed]
  129. Mgrditchian, T.; Arakelian, T.; Paggetti, J.; Noman, M.Z.; Viry, E.; Moussay, E.; Van Moer, K.; Kreis, S.; Guerin, C.; Buart, S.; et al. Targeting autophagy inhibits melanoma growth by enhancing NK cells infiltration in a CCL5-dependent manner. Proc. Natl. Acad. Sci. USA 2017, 114, E9271–E9279. [Google Scholar] [CrossRef]
  130. Wang, X.; Lang, M.; Zhao, T.; Feng, X.; Zheng, C.; Huang, C.; Hao, J.; Dong, J.; Luo, L.; Li, X.; et al. Cancer-FOXP3 directly activated CCL5 to recruit FOXP3+Treg cells in pancreatic ductal adenocarcinoma. Oncogene 2017, 36, 3048–3058. [Google Scholar] [CrossRef]
  131. Zhang, Y.; Lv, D.; Kim, H.J.; Kurt, R.A.; Bu, W.; Li, Y.; Ma, X. A novel role of hematopoietic CCL5 in promoting triple-negative mammary tumor progression by regulating generation of myeloid-derived suppressor cells. Cell Res. 2013, 23, 394–408. [Google Scholar] [CrossRef]
  132. Suffee, N.; Hlawaty, H.; Meddahi-Pelle, A.; Maillard, L.; Louedec, L.; Haddad, O.; Martin, L.; Laguillier, C.; Richard, B.; Oudar, O.; et al. RANTES/CCL5-induced pro-angiogenic effects depend on CCR1, CCR5 and glycosaminoglycans. Angiogenesis 2012, 15, 727–744. [Google Scholar] [CrossRef]
  133. Popek-Marciniec, S.; Styk, W.; Wojcierowska-Litwin, M.; Szudy-Szczyrek, A.; Dudek, P.; Swiderska-Kolacz, G.; Czerwik-Marcinkowska, J.; Zmorzynski, S. The Relationship of CCL5 and CCR1 Variants with Response Rate and Survival Taking into Account Thalidomide/Bortezomib Treatment in Patients with Multiple Myeloma. J. Clin. Med. 2023, 12, 2384. [Google Scholar] [CrossRef]
  134. Lentzsch, S.; Gries, M.; Janz, M.; Bargou, R.; Dörken, B.; Mapara, M.Y. Macrophage inflammatory protein 1-alpha (MIP-1 alpha) triggers migration and signaling cascades mediating survival and proliferation in multiple myeloma (MM) cells. Blood 2003, 101, 3568–3573. [Google Scholar] [CrossRef]
  135. Oba, Y.; Lee, J.W.; Ehrlich, L.A.; Chung, H.Y.; Jelinek, D.F.; Callander, N.S.; Horuk, R.; Choi, S.J.; Roodman, G.D. MIP-1alpha utilizes both CCR1 and CCR5 to induce osteoclast formation and increase adhesion of myeloma cells to marrow stromal cells. Exp. Hematol. 2005, 33, 272–278. [Google Scholar] [CrossRef] [PubMed]
  136. Freire-de-Lima, L.; Nardy, A.F.F.R.; Ramos-Junior, E.S.; Conde, L.; Santos Lemos, J.; da Fonseca, L.M.; Lima, J.E.; Maiolino, A.; Morrot, A. Multiple Myeloma Cells Express Key Immunoregulatory Cytokines and Modulate the Monocyte Migratory Response. Front. Med. 2017, 4, 92. [Google Scholar] [CrossRef]
  137. Xu, S.; Menu, E.; De Becker, A.; Van Camp, B.; Vanderkerken, K.; Van Riet, I. Bone marrow-derived mesenchymal stromal cells are attracted by multiple myeloma cell-produced chemokine CCL25 and favor myeloma cell growth in vitro and in vivo. Stem Cells 2012, 30, 266–279. [Google Scholar] [CrossRef] [PubMed]
  138. Yang, Q.; Li, K.; Li, X.; Liu, J. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis. Int. J. Med. Sci. 2020, 17, 2063–2076. [Google Scholar] [CrossRef] [PubMed]
  139. Li, L.; Tong, M.; Zhao, Y.T.; He, Y.; Zhou, H.Y.; Zhang, G.F.; Zhang, Y.J. Membrane translocation of Bruton kinase in multiple myeloma cells is associated with osteoclastogenic phenotype in bone metastatic lesions. Medicine 2018, 97, e9482. [Google Scholar] [CrossRef]
  140. Menu, E.; De Leenheer, E.; De Raeve, H.; Coulton, L.; Imanishi, T.; Miyashita, K.; Van Valckenborgh, E.; Van Riet, I.; Van Camp, B.; Horuk, R.; et al. Role of CCR1 and CCR5 in homing and growth of multiple myeloma and in the development of osteolytic lesions: A study in the 5TMM model. Clin. Exp. Metastasis 2006, 23, 291–300. [Google Scholar] [CrossRef] [PubMed]
  141. Kuwahara-Ota, S.; Shimura, Y.; Steinebach, C.; Isa, R.; Yamaguchi, J.; Nishiyama, D.; Fujibayashi, Y.; Takimoto-Shimomura, T.; Mizuno, Y.; Matsumura-Kimoto, Y.; et al. Lenalidomide and pomalidomide potently interfere with induction of myeloid-derived suppressor cells in multiple myeloma. Br. J. Haematol. 2020, 191, 784–795. [Google Scholar] [CrossRef] [PubMed]
  142. Mizuhara, K.; Shimura, Y.; Tsukamoto, T.; Kanai, A.; Kuwahara-Ota, S.; Yamaguchi, J.; Muramatsu, A.; Okamoto, H.; Taminishi-Katsuragawa, Y.; Kawaji-Kanayama, Y.; et al. Tumour-derived exosomes promote the induction of monocytic myeloid-derived suppressor cells from peripheral blood mononuclear cells by delivering miR-106a-5p and miR-146a-5p in multiple myeloma. Br. J. Haematol. 2023, 203, 426–438. [Google Scholar] [CrossRef]
  143. Abe, M.; Hiura, K.; Wilde, J.; Moriyama, K.; Hashimoto, T.; Ozaki, S.; Wakatsuki, S.; Kosaka, M.; Kido, S.; Inoue, D.; et al. Role for macrophage inflammatory protein (MIP)-1alpha and MIP-1beta in the development of osteolytic lesions in multiple myeloma. Blood 2002, 100, 2195–2202. [Google Scholar] [CrossRef]
  144. Neri, P.; Ren, L.; Azab, A.K.; Brentnall, M.; Gratton, K.; Klimowicz, A.C.; Lin, C.; Duggan, P.; Tassone, P.; Mansoor, A.; et al. Integrin β7-mediated regulation of multiple myeloma cell adhesion, migration, and invasion. Blood 2011, 117, 6202–6213. [Google Scholar] [CrossRef]
  145. Hashimoto, T.; Abe, M.; Oshima, T.; Shibata, H.; Ozaki, S.; Inoue, D.; Matsumoto, T. Ability of myeloma cells to secrete macrophage inflammatory protein (MIP)-1alpha and MIP-1beta correlates with lytic bone lesions in patients with multiple myeloma. Br. J. Haematol. 2004, 125, 38–41. [Google Scholar] [CrossRef] [PubMed]
  146. He, Z.C.; Li, X.Y.; Guo, Y.L.; Ma, D.; Fang, Q.; Ren, L.L.; Zhang, Z.Y.; Wang, W.; Yu, Z.Y.; Zhao, P.; et al. Heme oxygenase-1 attenuates the inhibitory effect of bortezomib against the APRIL-NF-κB-CCL3 signaling pathways in multiple myeloma cells: Corelated with bortezomib tolerance in multiple myeloma. J. Cell Biochem. 2019, 120, 6972–6987. [Google Scholar] [CrossRef]
  147. Watanabe, T.; Mitsuhashi, M.; Sagawa, M.; Ri, M.; Suzuki, K.; Abe, M.; Ohmachi, K.; Nakagawa, Y.; Nakamura, S.; Chosa, M.; et al. Lipopolysaccharide-Induced CXCL10 mRNA Level and Six Stimulant-mRNA Combinations in Whole Blood: Novel Biomarkers for Bortezomib Responses Obtained from a Prospective Multicenter Trial for Patients with Multiple Myeloma. PLoS ONE 2015, 10, e0128662. [Google Scholar] [CrossRef] [PubMed]
  148. Maghazachi, A.A. Role of chemokines in the biology of natural killer cells. Curr. Top. Microbiol. Immunol. 2010, 341, 37–58. [Google Scholar] [CrossRef]
  149. Carlsten, M.; Namazi, A.; Reger, R.; Levy, E.; Berg, M.; St Hilaire, C.; Childs, R.W. Bortezomib sensitizes multiple myeloma to NK cells via ER-stress-induced suppression of HLA-E and upregulation of DR5. Oncoimmunology 2018, 8, e1534664. [Google Scholar] [CrossRef]
  150. Gómez-Melero, S.; Caballero-Villarraso, J. CCR6 as a Potential Target for Therapeutic Antibodies for the Treatment of Inflammatory Diseases. Antibodies 2023, 12, 30. [Google Scholar] [CrossRef]
  151. Wang, D.; Yang, L.; Yu, W.; Wu, Q.; Lian, J.; Li, F.; Liu, S.; Li, A.; He, Z.; Liu, J.; et al. Colorectal cancer cell-derived CCL20 recruits regulatory T cells to promote chemoresistance via FOXO1/CEBPB/NF-κB signaling. J. Immunother. Cancer. 2019, 7, 215. [Google Scholar] [CrossRef] [PubMed]
  152. Ouyang, J.; Hu, S.; Zhu, Q.; Li, C.; Kang, T.; Xie, W.; Wang, Y.; Li, Y.; Lu, Y.; Qi, J.; et al. RANKL/RANK signaling recruits Tregs via the CCL20-CCR6 pathway and promotes stemness and metastasis in colorectal cancer. Cell Death Dis. 2024, 15, 437. [Google Scholar] [CrossRef] [PubMed]
  153. Yu, Q.; Lou, X.M.; He, Y. Preferential recruitment of Th17 cells to cervical cancer via CCR6-CCL20 pathway. PLoS ONE 2015, 10, e0120855. [Google Scholar] [CrossRef]
  154. Möller, C.; Strömberg, T.; Juremalm, M.; Nilsson, K.; Nilsson, G. Expression and function of chemokine receptors in human multiple myeloma. Leukemia 2003, 17, 203–210. [Google Scholar] [CrossRef] [PubMed]
  155. Giuliani, N.; Lisignoli, G.; Colla, S.; Lazzaretti, M.; Storti, P.; Mancini, C.; Bonomini, S.; Manferdini, C.; Codeluppi, K.; Facchini, A.; et al. CC-chemokine ligand 20/macrophage inflammatory protein-3α and CC-chemokine receptor 6 are overexpressed in myeloma microenvironment related to osteolytic bone lesions. Cancer Res. 2008, 68, 6840–6850. [Google Scholar] [CrossRef]
  156. Palma, B.D.; Guasco, D.; Pedrazzoni, M.; Bolzoni, M.; Accardi, F.; Costa, F.; Sammarelli, G.; Craviotto, L.; De Filippo, M.; Ruffini, L.; et al. Osteolytic lesions, cytogenetic features and bone marrow levels of cytokines and chemokines in multiple myeloma patients: Role of chemokine (C-C motif) ligand. Leukemia 2016, 30, 409–416. [Google Scholar] [CrossRef]
  157. Wang, H.; Shi, H.; He, X.; Liao, A. Downregulation of Chemokine CCL20 Involved in Myeloma Cells Resistant to Elotuzumab and Lenalidomide. Onco Targets Ther. 2021, 14, 2789–2795. [Google Scholar] [CrossRef]
  158. Schutyser, E.; Struyf, S.; Van Damme, J. The CC chemokine CCL20 and its receptor CCR6. Cytokine Growth Factor. Rev. 2003, 14, 409–426. [Google Scholar] [CrossRef]
  159. Yoshida, R.; Nagira, M.; Imai, T.; Baba, M.; Takagi, S.; Tabira, Y.; Akagi, J.; Nomiyama, H.; Yoshie, O. EBI1-ligand chemokine (ELC) attracts a broad spectrum of lymphocytes: Activated T cells strongly up-regulate CCR7 and efficiently migrate toward ELC. Int. Immunol. 1998, 10, 901–910. [Google Scholar] [CrossRef]
  160. Willimann, K.; Legler, D.F.; Loetscher, M.; Roos, R.S.; Delgado, M.B.; Clark-Lewis, I.; Baggiolini, M.; Moser, B. The chemokine SLC is expressed in T cell areas of lymph nodes and mucosal lymphoid tissues and attracts activated T cells via CCR7. Eur J. Immunol. 1998, 28, 2025–2034. [Google Scholar] [CrossRef]
  161. Hillinger, S.; Yang, S.C.; Batra, R.K.; Strieter, R.M.; Weder, W.; Dubinett, S.M.; Sharma, S. CCL19 reduces tumour burden in a model of advanced lung cancer. Br. J. Cancer. 2006, 94, 1029–1034. [Google Scholar] [CrossRef]
  162. Cheng, H.W.; Onder, L.; Cupovic, J.; Boesch, M.; Novkovic, M.; Pikor, N.; Tarantino, I.; Rodriguez, R.; Schneider, T.; Jochum, W.; et al. CCL19-producing fibroblastic stromal cells restrain lung carcinoma growth by promoting local antitumor T-cell responses. J. Allergy Clin. Immunol. 2018, 142, 1257–1271.e4. [Google Scholar] [CrossRef]
  163. Li, K.; Li, T.; Feng, Z.; Huang, M.; Wei, L.; Yan, Z.; Long, M.; Hu, Q.; Wang, J.; Liu, S.; et al. CD8+ T cell immunity blocks the metastasis of carcinogen-exposed breast cancer. Sci. Adv. 2021, 7, eabd8936. [Google Scholar] [CrossRef]
  164. Xu, D.; Liu, X.; Ke, S.; Guo, Y.; Zhu, C.; Cao, H. CCL19/CCR7 drives regulatory T cell migration and indicates poor prognosis in gastric cancer. BMC Cancer 2023, 23, 464. [Google Scholar] [CrossRef] [PubMed]
  165. Rachmadi, L.; Laelasari, E.; Susanto, Y.D.B.; Kusmardi, K. MMP-9 and CCR7 as Possible Predictors of Lymph Node Metastasis in Laryngeal Squamous Cell Carcinoma. Iran. J. Pathol. 2023, 18, 156–164. [Google Scholar] [CrossRef]
  166. Wang, Y.N.; Gan, S.L.; Wu, F.F.; Wang, W.M.; Li, S.Q.; Ma, J.; Guo, R.; Jiang, Z.X.; Yue, B.H.; Sun, H. Expression of CC-chemokine Receptor 7 in Patiens with Multiple Myeloma and Its Relationship with Extramedullary Disease. Zhongguo Shi Yan Xue Ye Xue Za Zhi 2017, 25, 476–479. [Google Scholar] [CrossRef] [PubMed]
  167. Carpenter, R.O.; Evbuomwan, M.O.; Pittaluga, S.; Rose, J.J.; Raffeld, M.; Yang, S.; Gress, R.E.; Hakim, F.T.; Kochenderfer, J.N. B-cell maturation antigen is a promising target for adoptive T-cell therapy of multiple myeloma. Clin. Cancer Res. 2013, 19, 2048–2060. [Google Scholar] [CrossRef]
  168. Friedman, K.M.; Garrett, T.E.; Evans, J.W.; Horton, H.M.; Latimer, H.J.; Seidel, S.L.; Horvath, C.J.; Morgan, R.A. Effective Targeting of Multiple B-Cell Maturation Antigen-Expressing Hematological Malignances by Anti-B-Cell Maturation Antigen Chimeric Antigen Receptor T Cells. Hum. Gene Ther. 2018, 29, 585–601. [Google Scholar] [CrossRef]
  169. Duan, D.; Wang, K.; Wei, C.; Feng, D.; Liu, Y.; He, Q.; Xu, X.; Wang, C.; Zhao, S.; Lv, L.; et al. The BCMA-Targeted Fourth-Generation CAR-T Cells Secreting IL-7 and CCL19 for Therapy of Refractory/Recurrent Multiple Myeloma. Front. Immunol. 2021, 12, 609421. [Google Scholar] [CrossRef] [PubMed]
  170. Flanagan, K.; Moroziewicz, D.; Kwak, H.; Hörig, H.; Kaufman, H.L. The lymphoid chemokine CCL21 costimulates naive T cell expansion and Th1 polarization of non-regulatory CD4+ T cells. Cell Immunol. 2004, 231, 75–84. [Google Scholar] [CrossRef]
  171. Islam, S.A.; Ling, M.F.; Leung, J.; Shreffler, W.G.; Luster, A.D. Identification of human CCR8 as a CCL18 receptor. J. Exp. Med. 2013, 210, 1889–1898. [Google Scholar] [CrossRef]
  172. Zingoni, A.; Soto, H.; Hedrick, J.A.; Stoppacciaro, A.; Storlazzi, C.T.; Sinigaglia, F.; D’Ambrosio, D.; O’Garra, A.; Robinson, D.; Rocchi, M.; et al. The chemokine receptor CCR8 is preferentially expressed in Th2 but not Th1 cells. J. Immunol. 1998, 161, 547–551. [Google Scholar] [CrossRef] [PubMed]
  173. Campbell, J.D.; HayGlass, K.T. T cell chemokine receptor expression in human Th1- and Th2-associated diseases. Arch. Immunol. Ther. Exp. 2000, 48, 451–456. [Google Scholar]
  174. Bernardini, G.; Spinetti, G.; Ribatti, D.; Camarda, G.; Morbidelli, L.; Ziche, M.; Santoni, A.; Capogrossi, M.C.; Napolitano, M. I-309 binds to and activates endothelial cell functions and acts as an angiogenic molecule in vivo. Blood 2000, 96, 4039–4045. [Google Scholar] [CrossRef]
  175. Ruckes, T.; Saul, D.; Van Snick, J.; Hermine, O.; Grassmann, R. Autocrine antiapoptotic stimulation of cultured adult T-cell leukemia cells by overexpression of the chemokine I-309. Blood 2001, 98, 1150–1159. [Google Scholar] [CrossRef]
  176. Iellem, A.; Mariani, M.; Lang, R.; Recalde, H.; Panina-Bordignon, P.; Sinigaglia, F.; D’Ambrosio, D. Unique chemotactic response profile and specific expression of chemokine receptors CCR4 and CCR8 by CD4+CD25+ regulatory T cells. J. Exp. Med. 2001, 194, 847–853. [Google Scholar] [CrossRef]
  177. Porcheray, F.; Viaud, S.; Rimaniol, A.C.; Léone, C.; Samah, B.; Dereuddre-Bosquet, N.; Dormont, D.; Gras, G. Macrophage activation switching: An asset for the resolution of inflammation. Clin. Exp. Immunol. 2005, 142, 481–489. [Google Scholar] [CrossRef] [PubMed]
  178. Martinez, F.O.; Gordon, S.; Locati, M.; Mantovani, A. Transcriptional profiling of the human monocyte-to-macrophage differentiation and polarization: New molecules and patterns of gene expression. J. Immunol. 2006, 177, 7303–7311. [Google Scholar] [CrossRef] [PubMed]
  179. Pettersen, J.S.; Fuentes-Duculan, J.; Suárez-Fariñas, M.; Pierson, K.C.; Pitts-Kiefer, A.; Fan, L.; Belkin, D.A.; Wang, C.Q.; Bhuvanendran, S.; Johnson-Huang, L.M.; et al. Tumor-associated macrophages in the cutaneous SCC microenvironment are heterogeneously activated. J. Invest. Dermatol. 2011, 131, 1322–1330. [Google Scholar] [CrossRef]
  180. Müller-Quernheim, U.C.; Potthast, L.; Müller-Quernheim, J.; Zissel, G. Tumor-cell co-culture induced alternative activation of macrophages is modulated by interferons in vitro. J. Interf. Cytokine Res. 2012, 32, 169–177. [Google Scholar] [CrossRef]
  181. Yuan, R.; Chen, Y.; He, X.; Wu, X.; Ke, J.; Zou, Y.; Cai, Z.; Zeng, Y.; Wang, L.; Wang, J.; et al. CCL18 as an independent favorable prognostic biomarker in patients with colorectal cancer. J. Surg. Res. 2013, 183, 163–169. [Google Scholar] [CrossRef] [PubMed]
  182. Hussain, K.; Lim, H.D.; Devkota, S.R.; Kemp-Harper, B.K.; Lane, J.R.; Canals, M.; Pease, J.E.; Stone, M.J. The chemokine receptor CCR8 is not a high-affinity receptor for the human chemokine CCL18. PLoS ONE 2024, 19, e0305312. [Google Scholar] [CrossRef] [PubMed]
  183. Chen, J.; Yao, Y.; Gong, C.; Yu, F.; Su, S.; Chen, J.; Liu, B.; Deng, H.; Wang, F.; Lin, L.; et al. CCL18 from tumor-associated macrophages promotes breast cancer metastasis via PITPNM3. Cancer Cell 2011, 19, 541–555. [Google Scholar] [CrossRef]
  184. Höhne, K.; Wagenknecht, A.; Maier, C.; Engelhard, P.; Goldmann, T.; Schließmann, S.J.; Plönes, T.; Trepel, M.; Eibel, H.; Müller-Quernheim, J.; et al. Pro-Fibrotic Effects of CCL18 on Human Lung Fibroblasts Are Mediated via CCR6. Cells 2024, 13, 238. [Google Scholar] [CrossRef]
  185. Catusse, J.; Wollner, S.; Leick, M.; Schröttner, P.; Schraufstätter, I.; Burger, M. Attenuation of CXCR4 responses by CCL18 in acute lymphocytic leukemia B cells. J. Cell Physiol. 2010, 225, 792–800. [Google Scholar] [CrossRef]
  186. Lin, L.; Chen, Y.S.; Yao, Y.D.; Chen, J.Q.; Chen, J.N.; Huang, S.Y.; Zeng, Y.J.; Yao, H.R.; Zeng, S.H.; Fu, Y.S.; et al. CCL18 from tumor-associated macrophages promotes angiogenesis in breast cancer. Oncotarget 2015, 6, 34758–34773. [Google Scholar] [CrossRef]
  187. Su, S.; Liao, J.; Liu, J.; Huang, D.; He, C.; Chen, F.; Yang, L.; Wu, W.; Chen, J.; Lin, L.; et al. Blocking the recruitment of naive CD4+ T cells reverses immunosuppression in breast cancer. Cell Res. 2017, 27, 461–482. [Google Scholar] [CrossRef]
  188. Qiao, B.; Chen, L.; Cheng, Q.; Wang, G.; Li, Q.; Zhang, B.; Li, J.; Hu, Y.; Sun, C. CCL18 promotes migration and invasion of multiple myeloma cells and is associated with poor prognosis. Carcinogenesis 2023, 44, 38–45. [Google Scholar] [CrossRef]
  189. Stenstad, H.; Ericsson, A.; Johansson-Lindbom, B.; Svensson, M.; Marsal, J.; Mack, M.; Picarella, D.; Soler, D.; Marquez, G.; Briskin, M.; et al. Gut-associated lymphoid tissue-primed CD4+ T cells display CCR9-dependent and -independent homing to the small intestine. Blood 2006, 107, 3447–3454. [Google Scholar] [CrossRef] [PubMed]
  190. Chen, H.; Cong, X.; Wu, C.; Wu, X.; Wang, J.; Mao, K.; Li, J.; Zhu, G.; Liu, F.; Meng, X.; et al. Intratumoral delivery of CCL25 enhances immunotherapy against triple-negative breast cancer by recruiting CCR9+ T cells. Sci. Adv. 2020, 6, eaax4690. [Google Scholar] [CrossRef] [PubMed]
  191. Sun, Y.; Shao, J.; Jiang, F.; Wang, Y.; Yan, Q.; Yu, N.; Zhang, J.; Zhang, J.; Li, M.; He, Y. CD33+ CD14+ CD11b+ HLA-DR monocytic myeloid-derived suppressor cells recruited and activated by CCR9/CCL25 are crucial for the pathogenic progression of endometriosis. Am. J. Reprod. Immunol. 2019, 81, e13067. [Google Scholar] [CrossRef]
  192. Li, J.; Zhao, C.; Wang, D.; Wang, S.; Dong, H.; Wang, D.; Yang, Y.; Li, J.; Cui, F.; He, X.; et al. ZIM3 activation of CCL25 expression in pulmonary metastatic nodules of osteosarcoma recruits M2 macrophages to promote metastatic growth. Cancer Immunol. Immunother. 2023, 72, 903–916. [Google Scholar] [CrossRef]
  193. Xiong, N.; Fu, Y.; Hu, S.; Xia, M.; Yang, J. CCR10 and its ligands in regulation of epithelial immunity and diseases. Protein Cell 2012, 3, 571–580. [Google Scholar] [CrossRef]
  194. Dhanushkodi, N.R.; Prakash, S.; Quadiri, A.; Zayou, L.; Srivastava, R.; Tran, J.; Dang, V.; Shaik, A.M.; Chilukurri, A.; Suzer, B.; et al. Mucosal CCL28 Chemokine Improves Protection against Genital Herpes through Mobilization of Antiviral Effector Memory CCR10+CD44+ CD62L-CD8+ T Cells and Memory CCR10+B220+CD27+ B Cells into the Infected Vaginal Mucosa. J. Immunol. 2023, 211, 118–129. [Google Scholar] [CrossRef]
  195. Karlsson, C.; Baudet, A.; Miharada, N.; Soneji, S.; Gupta, R.; Magnusson, M.; Enver, T.; Karlsson, G.; Larsson, J. Identification of the chemokine CCL28 as a growth and survival factor for human hematopoietic stem and progenitor cells. Blood 2013, 121, 3838–3842. [Google Scholar] [CrossRef] [PubMed]
  196. Gao, J.Q.; Tsuda, Y.; Han, M.; Xu, D.H.; Kanagawa, N.; Hatanaka, Y.; Tani, Y.; Mizuguchi, H.; Tsutsumi, Y.; Mayumi, T.; et al. NK cells are migrated and indispensable in the anti-tumor activity induced by CCL27 gene therapy. Cancer Immunol. Immunother. 2009, 58, 291–299. [Google Scholar] [CrossRef] [PubMed]
  197. Ren, L.; Yu, Y.; Wang, L.; Zhu, Z.; Lu, R.; Yao, Z. Hypoxia-induced CCL28 promotes recruitment of regulatory T cells and tumor growth in liver cancer. Oncotarget 2016, 7, 75763–75773. [Google Scholar] [CrossRef] [PubMed]
  198. Huang, G.; Tao, L.; Shen, S.; Chen, L. Hypoxia induced CCL28 promotes angiogenesis in lung adenocarcinoma by targeting CCR3 on endothelial cells. Sci. Rep. 2016, 6, 27152. [Google Scholar] [CrossRef]
  199. Karnezis, T.; Farnsworth, R.H.; Harris, N.C.; Williams, S.P.; Caesar, C.; Byrne, D.J.; Herle, P.; Macheda, M.L.; Shayan, R.; Zhang, Y.F.; et al. CCL27/CCL28-CCR10 Chemokine Signaling Mediates Migration of Lymphatic Endothelial Cells. Cancer Res. 2019, 79, 1558–1572. [Google Scholar] [CrossRef]
  200. Thangavadivel, S.; Zelle-Rieser, C.; Olivier, A.; Postert, B.; Untergasser, G.; Kern, J.; Brunner, A.; Gunsilius, E.; Biedermann, R.; Hajek, R.; et al. CCR10/CCL27 crosstalk contributes to failure of proteasome-inhibitors in multiple myeloma. Oncotarget 2016, 7, 78605–78618. [Google Scholar] [CrossRef]
  201. Ferguson, I.D.; Patiño-Escobar, B.; Tuomivaara, S.T.; Lin, Y.T.; Nix, M.A.; Leung, K.K.; Kasap, C.; Ramos, E.; Nieves Vasquez, W.; Talbot, A.; et al. The surfaceome of multiple myeloma cells suggests potential immunotherapeutic strategies and protein markers of drug resistance. Nat. Commun. 2022, 13, 4121. [Google Scholar] [CrossRef]
  202. Lei, Y.; Takahama, Y. XCL1 and XCR1 in the immune system. Microbes Infect. 2012, 14, 262–267. [Google Scholar] [CrossRef]
  203. Kamei, M.; Matsuo, K.; Yoshida, Y.; Shimada, K.; Otsuki, M.; Fujimoto, N.; Ishibashi, M.; Quan, Y.S.; Kamiyama, F.; Hara, Y.; et al. Intratumoral delivery of a highly active form of XCL1 enhances antitumor CTL responses through recruitment of CXCL9-expressing conventional type-1 dendritic cells. Int. J. Cancer. 2024, 154, 2176–2188. [Google Scholar] [CrossRef]
  204. Cui, L.; Zhu, L.; Chen, J.; Li, C.; Yu, Y.; Xu, S. Systematic Pan-Cancer Analysis Reveals X-C Motif Chemokine Receptor 1 as a Prognostic and Immunological Biomarker. Genes 2023, 14, 1961. [Google Scholar] [CrossRef]
  205. Cairns, C.M.; Gordon, J.R.; Li, F.; Baca-Estrada, M.E.; Moyana, T.; Xiang, J. Lymphotactin expression by engineered myeloma cells drives tumor regression: Mediation by CD4+ and CD8+ T cells and neutrophils expressing XCR1 receptor. J. Immunol. 2001, 167, 57–65. [Google Scholar] [CrossRef] [PubMed]
  206. Suzuki, S.; Komiya, K.; Tsuda, S.; Yoshino, M.; Kaisho, T.; Bergsagel, P.L.; Kawamura, K.; Fukuda, T.; Tokoyoda, K. Type I-conventional dendritic cells support the progression of multiple myeloma in the bone marrow. Front. Immunol. 2024, 15, 1444821. [Google Scholar] [CrossRef]
  207. Foussat, A.; Coulomb-L’Hermine, A.; Gosling, J.; Krzysiek, R.; Durand-Gasselin, I.; Schall, T.; Balian, A.; Richard, Y.; Galanaud, P.; Emilie, D. Fractalkine receptor expression by T lymphocyte subpopulations and in vivo production of fractalkine in human. Eur. J. Immunol. 2000, 30, 87–97. [Google Scholar] [CrossRef]
  208. Fong, A.M.; Robinson, L.A.; Steeber, D.A.; Tedder, T.F.; Yoshie, O.; Imai, T.; Patel, D.D. Fractalkine and CX3CR1 mediate a novel mechanism of leukocyte capture, firm adhesion, and activation under physiologic flow. J. Exp. Med. 1998, 188, 1413–1419. [Google Scholar] [CrossRef] [PubMed]
  209. Imai, T.; Hieshima, K.; Haskell, C.; Baba, M.; Nagira, M.; Nishimura, M.; Kakizaki, M.; Takagi, S.; Nomiyama, H.; Schall, T.J.; et al. Identification and molecular characterization of fractalkine receptor CX3CR1, which mediates both leukocyte migration and adhesion. Cell 1997, 91, 521–530. [Google Scholar] [CrossRef] [PubMed]
  210. Garton, K.J.; Gough, P.J.; Blobel, C.P.; Murphy, G.; Greaves, D.R.; Dempsey, P.J.; Raines, E.W. Tumor necrosis factor-alpha-converting enzyme (ADAM17) mediates the cleavage and shedding of fractalkine (CX3CL1). J. Biol. Chem. 2001, 276, 37993–38001. [Google Scholar] [CrossRef]
  211. Koizumi, K.; Saitoh, Y.; Minami, T.; Takeno, N.; Tsuneyama, K.; Miyahara, T.; Nakayama, T.; Sakurai, H.; Takano, Y.; Nishimura, M.; et al. Role of CX3CL1/fractalkine in osteoclast differentiation and bone resorption. J. Immunol. 2009, 183, 7825–7831. [Google Scholar] [CrossRef]
  212. Yu, Y.R.; Fong, A.M.; Combadiere, C.; Gao, J.L.; Murphy, P.M.; Patel, D.D. Defective antitumor responses in CX3CR1-deficient mice. Int. J. Cancer. 2007, 121, 316–322. [Google Scholar] [CrossRef]
  213. Hyakudomi, M.; Matsubara, T.; Hyakudomi, R.; Yamamoto, T.; Kinugasa, S.; Yamanoi, A.; Maruyama, R.; Tanaka, T. Increased expression of fractalkine is correlated with a better prognosis and an increased number of both CD8+ T cells and natural killer cells in gastric adenocarcinoma. Ann. Surg. Oncol. 2008, 15, 1775–1782. [Google Scholar] [CrossRef]
  214. Okuma, A.; Hanyu, A.; Watanabe, S.; Hara, E. p16Ink4a and p21Cip1/Waf1 promote tumour growth by enhancing myeloid-derived suppressor cells chemotaxis. Nat. Commun. 2017, 8, 2050. [Google Scholar] [CrossRef] [PubMed]
  215. Reed, J.R.; Stone, M.D.; Beadnell, T.C.; Ryu, Y.; Griffin, T.J.; Schwertfeger, K.L. Fibroblast growth factor receptor 1 activation in mammary tumor cells promotes macrophage recruitment in a CX3CL1-dependent manner. PLoS ONE 2012, 7, e45877. [Google Scholar] [CrossRef] [PubMed]
  216. Lee, S.J.; Namkoong, S.; Kim, Y.M.; Kim, C.K.; Lee, H.; Ha, K.S.; Chung, H.T.; Kwon, Y.G.; Kim, Y.M. Fractalkine stimulates angiogenesis by activating the Raf-1/MEK/ERK- and PI3K/Akt/eNOS-dependent signal pathways. Am. J. Physiol. Heart Circ. Physiol. 2006, 291, H2836–H2846. [Google Scholar] [CrossRef] [PubMed]
  217. Marchica, V.; Toscani, D.; Corcione, A.; Bolzoni, M.; Storti, P.; Vescovini, R.; Ferretti, E.; Dalla Palma, B.; Vicario, E.; Accardi, F.; et al. Bone Marrow CX3CL1/Fractalkine is a New Player of the Pro-Angiogenic Microenvironment in Multiple Myeloma Patients. Cancers 2019, 11, 321. [Google Scholar] [CrossRef]
  218. Wada, A.; Ito, A.; Iitsuka, H.; Tsuneyama, K.; Miyazono, T.; Murakami, J.; Shibahara, N.; Sakurai, H.; Saiki, I.; Nakayama, T.; et al. Role of chemokine CX3CL1 in progression of multiple myeloma via CX3CR1 in bone microenvironments. Oncol. Rep. 2015, 33, 2935–2939. [Google Scholar] [CrossRef]
Figure 1. Anti-MM properties of the CXCL16-CXCR6 axis. Higher expression of CXCL16 and CXCR6 in MM cells is associated with a better prognosis in patients with MM. There are no precise studies explaining this relationship. Considering the properties of this axis, it can be theorized that this axis participates in the interaction of cytotoxic lymphocytes with MM cells. CXCL16 is a chemokine that causes lymphocyte chemotaxis. Therefore, it may induce lymphocyte migration to the vicinity of MM cells. The membrane form of CXCL16 and CXCR6 can also bind cells. This may lead to adhesion of MM cells with cytotoxic lymphocytes, facilitating the destruction of MM cells.
Figure 1. Anti-MM properties of the CXCL16-CXCR6 axis. Higher expression of CXCL16 and CXCR6 in MM cells is associated with a better prognosis in patients with MM. There are no precise studies explaining this relationship. Considering the properties of this axis, it can be theorized that this axis participates in the interaction of cytotoxic lymphocytes with MM cells. CXCL16 is a chemokine that causes lymphocyte chemotaxis. Therefore, it may induce lymphocyte migration to the vicinity of MM cells. The membrane form of CXCL16 and CXCR6 can also bind cells. This may lead to adhesion of MM cells with cytotoxic lymphocytes, facilitating the destruction of MM cells.
Cancers 18 00673 g001
Figure 2. The importance of the CCL19/CCL21-CCR7 axis in MM. The CCR7 receptor on MM cells has protumor properties. However, CCL21 expression in MM cells has antitumor properties. The antitumor properties of CCL21 may be linked to cytotoxic lymphocytes that destroy MM cells. Activation of the receptor on MM cells may be associated with MM cell migration and expulsion from the bone marrow, leading to extramedullary disease and a poorer prognosis.
Figure 2. The importance of the CCL19/CCL21-CCR7 axis in MM. The CCR7 receptor on MM cells has protumor properties. However, CCL21 expression in MM cells has antitumor properties. The antitumor properties of CCL21 may be linked to cytotoxic lymphocytes that destroy MM cells. Activation of the receptor on MM cells may be associated with MM cell migration and expulsion from the bone marrow, leading to extramedullary disease and a poorer prognosis.
Cancers 18 00673 g002
Figure 3. The CXCL27/CCL28-CCR10 axis in tumor mechanisms in MM. In the MM bone marrow microenvironment, the sources of CCR10 ligands are MSCs and MM cells. The former produce CCL27. MM cells, in turn, are a source of CCL28, although they can also produce CCL27. Activation of CCR10 on MM cells increases adhesion to fibronectin, leading to CAM-DR. Activation of CCR10 by CCL27 on MSCs also prevents bortezomib from affecting IL-10 expression in these cells. This leads to higher levels of IL-10, leading to bortezomib resistance.
Figure 3. The CXCL27/CCL28-CCR10 axis in tumor mechanisms in MM. In the MM bone marrow microenvironment, the sources of CCR10 ligands are MSCs and MM cells. The former produce CCL27. MM cells, in turn, are a source of CCL28, although they can also produce CCL27. Activation of CCR10 on MM cells increases adhesion to fibronectin, leading to CAM-DR. Activation of CCR10 by CCL27 on MSCs also prevents bortezomib from affecting IL-10 expression in these cells. This leads to higher levels of IL-10, leading to bortezomib resistance.
Cancers 18 00673 g003
Table 1. Association between the expression levels of less-studied α-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE4204 dataset) [17,21].
Table 1. Association between the expression levels of less-studied α-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE4204 dataset) [17,21].
Chemokine or ReceptorIn All PatientsCD1CD2PRHYLBMFMSMY
Receptors
CXCR5---
p = 0.055
--
CXCR6--
p = 0.094

p = 0.065
-
p = 0.078
GPR35
p = 0.10
--
p = 0.052

p = 0.089
---
Ligands
CXCL13--
p = 0.089
-
p = 0.065
--
CXCL14-
p = 0.082

p = 0.090
-
p = 0.068
--
CXCL16---
p = 0.072
--
CXCL17----
Molecular subgroup of MM: CD1—MM with t(11;14) or t(6;14) (increased expression of CCND1 and CCND3, respectively). CD2—MM with t(11;14) or t(6;14) (increased expression of CCND1 and CCND3, respectively); expression of genes on chromosome 1p and early B-cell markers. PR—highly proliferative MM subgroup. HY—hyperdiploid molecular subgroup. LB—MM subgroup with a low number of bone lesions. MF—MM with t(14;16) or t(14;20) (increased expression of MAF and MAFB, respectively). MS—MM with t(4;14) (increased expression of FGFR3 and MMSET). MY—MM molecular subgroup with increased expression of MYC and BCL2L1 (Bcl-xL). ↑; blue background—higher expression is associated with better prognosis; ↓; red background—higher expression is associated with worse prognosis; gray background—no influence.
Table 2. Association between the expression levels of less-studied α-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE24080 dataset) [18,19,20,21].
Table 2. Association between the expression levels of less-studied α-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE24080 dataset) [18,19,20,21].
Chemokine ReceptorAssociated with PrognosisChemokineAssociated with Prognosis
CXCR5-CXCL13-
CXCL14-
CXCR6CXCL16
GPR35-CXCL17-
↑; blue background—higher expression is associated with better prognosis; gray background—no influence.
Table 3. Association between the expression levels of β-chemokine receptors and survival in MM patients across molecular subgroups (from GSE4204 dataset) [17,21].
Table 3. Association between the expression levels of β-chemokine receptors and survival in MM patients across molecular subgroups (from GSE4204 dataset) [17,21].
ReceptorIn All PatientsCD1CD2PRHYLBMFMSMY
CCR1--
p = 0.085
--
p = 0.063
CCR2-----
CCR3--
p = 0.058
--
CCR4
p = 0.077

p = 0.090
-
p = 0.088

p = 0.088

p = 0.068

p = 0.081

p = 0.083
-
CCR5-
p = 0.069
-
p = 0.090
-
CCR6-
p = 0.080

p = 0.068

p = 0.093

p = 0.098
--
CCR7
p = 0.078
---
p = 0.055
-
CCR8----
p = 0.096
--
CCR9---------
CCR10--
p = 0.072
PITPNM3
p = 0.058

p = 0.082
---
Molecular subgroup of MM: CD1—MM with t(11;14) or t(6;14) (increased expression of CCND1 and CCND3, respectively). CD2—MM with t(11;14) or t(6;14) (increased expression of CCND1 and CCND3, respectively), along with gene expression on chromosome 1p and expression of early B-cell markers. PR—highly proliferative MM subgroup. HY—hyperdiploid molecular subgroup. LB—MM subgroup with a low number of bone lesions. MF—MM with t(14;16) or t(14;20) (increased expression of MAF and MAFB, respectively). MS—MM with t(4;14) (increased expression of FGFR3 and MMSET). Y—MM molecular subgroup with increased expression of MYC and BCL2L1 (Bcl-xL). ↑; blue background—higher expression is associated with better prognosis; ↓; red background—higher expression is associated with worse prognosis; gray background—no influence.
Table 4. Association between β-chemokine expression levels and survival in MM patients across molecular subgroups (from GSE4204 dataset) [17,21].
Table 4. Association between β-chemokine expression levels and survival in MM patients across molecular subgroups (from GSE4204 dataset) [17,21].
ChemokineIn All PatientsCD1CD2PRHYLBMFMSMY
CCL1----
CCL2-
p = 0.094
---
p = 0.070
-
CCL3----
p = 0.095
-
CCL4--
p = 0.072
--
p = 0.052
--
CCL5----
p = 0.070
-
p = 0.098
CCL7------
CCL8--
p = 0.10

p = 0.073
CCL11-
p = 0.078
----
CCL13-----
p = 0.057

p = 0.061
-
CCL14-----
CCL14-CCL15--
p = 0.058
--
CCL16-
p = 0.054

p = 0.098
---
p = 0.099

p = 0.052
CCL17
p = 0.083
-----
CCL18----
p = 0.066
CCL19-------
p = 0.066
CCL20
p = 0.091

p = 0.10

p = 0.069
-
p = 0.10
--
CCL21-
p = 0.058
--
CCL22----
p = 0.088
-
p = 0.073
--
CCL23----
p = 0.097

p = 0.056

p = 0.081
-
CCL24------
p = 0.052
CCL25-
p = 0.10
-
p = 0.074
CCL26-------
CCL27
p = 0.053
-
p = 0.10

p = 0.076
--
CCL28
p = 0.097
---
p = 0.063
--
Molecular 1.—MM with t(11;14) or t(6;14) (increased expression of CCND1 and CCND3, respectively). CD2—MM with t(11;14) or t(6;14) (increased expression of CCND1 and CCND3, respectively), along with gene expression on chromosome 1p and early B-cell marker expression. PR—highly proliferative MM subgroup. HY—hyperdiploid molecular subgroup. LB—MM subgroup with a low number of bone lesions. MF—MM with t(14;16) or t(14;20) (increased expression of MAF and MAFB, respectively). MS—MM with t(4;14) (increased expression of FGFR3 and MMSET). MY—MM molecular subgroup with increased expression of MYC and BCL2L1 (Bcl-xL). ↑; blue background—higher expression is associated with better prognosis; ↓; red background—higher expression is associated with worse prognosis; gray background—no influence.
Table 5. Association between the expression levels of less-studied β-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE24080 dataset) [18,19,20,21].
Table 5. Association between the expression levels of less-studied β-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE24080 dataset) [18,19,20,21].
Chemokine ReceptorAssociated with Prognosis
And
ChemokineAssociated with Prognosis
And
ChemokineAssociated with Prognosis
And
CCR1-CCL3-
CCR2
p = 0.081
CCL2
p = 0.087
CCL7-
CCL8CCL13-
CCR3
p = 0.084
CCL11-CCL23-
CCL24
p = 0.066
CCL26-
CCL14-CCL15
p = 0.1
CCR4-CCL17
p = 0.074
CCL22-
CCR5-CCL4-CCL5-
CCL16-
CCR6-CCL20-
CCR7-CCL19-CCL21
CCR8-CCL1
PITPNM3
p = 0.088
CCL18
CCR9
p = 0.085
CCL25-
CCR10
p = 0.085
CCL27-CCL28
↑; blue background—higher expression is associated with better prognosis; ↓; red background—higher expression is associated with worse prognosis; gray background—no influence.
Table 6. Association between the expression levels of γ- and δ-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE4204 dataset) [17,21].
Table 6. Association between the expression levels of γ- and δ-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE4204 dataset) [17,21].
Chemokine or ReceptorIn All PatientsCD1CD2PRHYLBMFMSMY
γ-chemokines
XCL1---
p = 0.072

p = 0.094
---
XCL2N/AN/AN/AN/AN/AN/AN/AN/AN/A
XCR1---
δ-chemokines
CX3CL1-----
p = 0.056
-
CX3CR1-
p = 0.059
-------
Molecular subgroup of MM: CD1—MM with t(11;14) or t(6;14) (increased expression of CCND1 and CCND3, respectively). CD2—MM with t(11;14) or t(6;14) (increased expression of CCND1 and CCND3, respectively), along with gene expression on chromosome 1p and early B-cell marker expression. PR—highly proliferative MM subgroup. HY—hyperdiploid molecular subgroup. LB—MM subgroup with a low number of bone lesions. MF—MM with t(14;16) or t(14;20) (increased expression of MAF and MAFB, respectively). MS—MM with t(4;14) (increased expression of FGFR3 and MMSET). MY—MM molecular subgroup with increased expression of MYC and BCL2L1 (Bcl-xL). ↑; blue background—higher expression is associated with better prognosis; ↓; red background—higher expression is associated with worse prognosis; gray background—no influence.
Table 7. Association between the expression levels of γ- and δ-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE24080 dataset) [18,19,20,21].
Table 7. Association between the expression levels of γ- and δ-chemokines and their receptors and survival in MM patients across molecular subgroups (from GSE24080 dataset) [18,19,20,21].
Chemokine ReceptorInfluence on
Prognosis
Chemokine
XCR1-XCL1-
XCL2-
CX3CR1-CX3CL1-
Gray background—no influence on prognosis.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Korbecki, J.; Bosiacki, M.; Stelmach, R.; Barczak, K. The Role of Rarely Studied Chemokines in Tumor Progression in Multiple Myeloma (MM). Cancers 2026, 18, 673. https://doi.org/10.3390/cancers18040673

AMA Style

Korbecki J, Bosiacki M, Stelmach R, Barczak K. The Role of Rarely Studied Chemokines in Tumor Progression in Multiple Myeloma (MM). Cancers. 2026; 18(4):673. https://doi.org/10.3390/cancers18040673

Chicago/Turabian Style

Korbecki, Jan, Mateusz Bosiacki, Rafał Stelmach, and Katarzyna Barczak. 2026. "The Role of Rarely Studied Chemokines in Tumor Progression in Multiple Myeloma (MM)" Cancers 18, no. 4: 673. https://doi.org/10.3390/cancers18040673

APA Style

Korbecki, J., Bosiacki, M., Stelmach, R., & Barczak, K. (2026). The Role of Rarely Studied Chemokines in Tumor Progression in Multiple Myeloma (MM). Cancers, 18(4), 673. https://doi.org/10.3390/cancers18040673

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop