Next Article in Journal
Mitoquinone (MitoQ) Inhibits Platelet Activation Steps by Reducing ROS Levels
Next Article in Special Issue
MicroRNA Biomarkers in IBD—Differential Diagnosis and Prediction of Colitis-Associated Cancer
Previous Article in Journal
Characterization of the Heavy-Metal-Associated Isoprenylated Plant Protein (HIPP) Gene Family from Triticeae Species
Previous Article in Special Issue
The Role of Selected Chemokines and Their Receptors in the Development of Gliomas
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Specific Receptors for the Chemokines CXCR2 and CXCR4 in Pancreatic Cancer

by
Ala Litman-Zawadzka
1,*,
Marta Łukaszewicz-Zając
2,
Mariusz Gryko
3,
Agnieszka Kulczyńska-Przybik
1,
Bogusław Kędra
3 and
Barbara Mroczko
1,2
1
Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland
2
Department of Biochemical Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland
3
Second Department of General Surgery, Medical University of Bialystok, 15-276 Bialystok, Poland
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(17), 6193; https://doi.org/10.3390/ijms21176193
Submission received: 11 August 2020 / Accepted: 25 August 2020 / Published: 27 August 2020
(This article belongs to the Special Issue Molecular Biomarkers of Selected Diseases of Civilization)

Abstract

:
Background: The mortality rate of pancreatic cancer (PC) is equal to its incidence and the majority of PC patients die within a few months of diagnosis. Therefore, a search for new biomarkers useful in the diagnosis and prognosis of PC is ongoing. Objectives: The aim of our study was to compare the utility of CXCR2 and CXCR4 in the diagnosis and prediction of PC with classical tumor marker (carcinoembryonic antigen, CEA) and marker of inflammation–C-reactive protein (CRP). Patients and Methods: The study comprised 64 subjects — 32 PC patients and 32 healthy volunteers. Serum concentrations of tested proteins were analysed using immunological methods. Results: Serum CXCR2 and CXCR4 concentrations, similarly to those of CEA and CRP, were significantly elevated in PC patients compared to healthy controls. Moreover, concentrations of CXCR4 were significantly correlated with CXCR2 and CRP levels, while CRP concentrations were correlated with CXCR2 and CEA levels. The diagnostic sensitivity and the predictive value for negative (PV−ve) results for CXCR4 were similar to those of CEA and higher than those of CXCR2 and CRP, while the area under the ROC curve (AUC) for CXCR4 was the highest among all tested proteins (CXCR2, CEA, CRP). Moreover, serum CXCR2 was found to be a significant predictor of PC risk. Conclusions: CXCR4 is a better candidate for a tumor marker than CXCR2 in the diagnosis of PC, while serum CXCR2 is a significant predictor of PC risk.

1. Introduction

Chemokines are a family of chemotactic cytokines that bind to their cognate G-protein- coupled receptors in order to cause a cellular response such as adhesion, chemotaxis and migration. These proteins are produced by various tissue cells and leukocytes and therefore are able to regulate leukocyte migration in inflammation and immunity processes [1,2,3,4]. A number of previous studies have investigated if C-X-C motif chemokine receptor (CXCR) 2 and C-X-C motif chemokine receptor (CXCR) 4 play an important role in tumor proliferation, invasion, angiogenesis, metastasis and migration in numerous types of malignancies, including pancreatic cancer (PC) [5,6,7,8,9,10,11,12,13].
The N-terminal domain of specific receptors is extracellular and is thus involved in chemokine binding. CXCR2 is widely expressed by neutrophils and endothelial cells. All ELR+ CXC chemokine ligands (CXCL1, CXCL2, CXCL3, CXCL5, CXCL6, CXCL7, CXCL8) bind to CXCR2. However, the most potent ligand of this specific receptor is C-X-C motif chemokine 8 (CXCL8) and cleavage products of this chemokine [9,10,11,12,13,14,15,16,17,18,19,20]. It has been shown that CXCR2 is a pro-tumorigenic chemokine receptor that might induce inflammation in the tumor microenvironment [9,10]. Furthermore, interaction between CXCR2 and tumor microenvironment has been demonstrated to be of critical importance for tumor progression [21].
The most extensively studied receptor is CXCR4, which is one of C-X-C motif chemokine 12 (CXCL12) specific receptors [7]. Some clinical investigations have proved that CXCR4 overexpression in cancer cells contributes to tumor growth, invasion, angiogenesis and metastasis [7]. The majority of studies concerning this issue have been performed on PC tissue samples to assess the expression of these proteins in PC cells. The expression of CXCR2 was higher in PC tissue than in non-PC samples and therefore the authors concluded that PC cells have an enhanced capability for producing chemokines in comparison with inflammatory cells [22]. Moreover, the expression rate of CXCR4 in PC cells was 100%, whereas it was totally negative in non-PC controls. The authors revealed that the overexpression of CXCR4 significantly correlated with a more advanced tumor stage and PC progression [23,24,25].
Pancreatic cancer (PC) is the fourth most common cause of cancer-related mortality [26,27]. PC is commonly diagnosed at an advanced stage even if the diagnosis is established immediately after symptom onset [26,27]. Despite recent advances in surgical techniques, radiation therapy and chemotherapy, a 5-year survival rate stands at 8% [28]. Computed tomography (CT) is a first-line imaging modality for suspected PC, while magnetic resonance cholangiopancreatography (MRCP) is a second-line modality for suspected PC. In clinical practice, CT and magnetic resonance (MR) are highly effective at detecting this malignancy. However, due to their limitations such as the high cost or invasive nature, other, inexpensive and easy to perform, methods of PC diagnosis are sorely needed. In clinical practice, carbohydrate antigen 19-9 (CA 19-9) and carcinoembryonic antigen (CEA) have been established as reliable serum markers for PC. However, the clinical utility of classical tumor markers is unsatisfactory due to their low diagnostic sensitivity and specificity, particularly in the early stages of PC [29].
The presence of soluble chemokine receptors in sera is a general phenomenon that occurs under normal physiological conditions. It is now well established that soluble chemokine receptors may play an important role in human diseases, and their biological effects are already used in therapies [30,31]. The majority of the soluble chemokine receptors are released from the cell surface by proteolytic cleavage. It is also suggested that two in vivo mechanisms for the generation of soluble receptors are known: shedding of membrane-bound receptors and gene expression [32]. Some clinical investigation have revealed that loss of membrane expression of CXCR2 from neutrophils leads to production of soluble acidic glycopeptide CXCR2 [33]. It is suggested that shedding of membrane-bound receptors, including CXCR2 occurs via proteolytical cleavage to soluble forms by cell-associated metalloproteinases. In addition, the study of Malvoisin et al. [34] has described the existence of a soluble form of CXCR4 in human sera using isoelectric focusing (IEF) and Western blotting. Authors performed IEF on agarose gel to demonstrate the existence of a soluble form of CXCR4 in human sera and confirmed that serum CXCR4 level was significantly elevated in cancer patients such as colorectal cancer patients compared to controls. Moreover, some anti-CXCR4 antibodies recognized by western blotting serum CXCR4 in several samples, including those of control subjects. The authors concluded that CXCR4 might be a potential biomarker, particularly of inflammatory diseases such cancer. Therefore, based on the results of other authors as well as the findings of our previous studies performed on esophageal cancer patients [35,36], we decided to assess serum concentrations of selected receptors for chemokines (CXCR2 and CXCR4) in order to determine whether these proteins might be used as potential diagnostic and prognostic biomarkers in PC. To the best of our knowledge, the present study is the first to compare the clinical relevance of serum concentrations of CXCR2 and CXCR4 in relation to the well-established tumor marker (carcinoembryonic antigen–CEA) in PC patients and the marker of inflammation–C-reactive protein (CRP). The present paper is a continuation of our previous investigations, in which we assessed whether serum levels of selected chemokines and their specific receptors might be used as potential tumor biomarkers for gastrointestinal malignancies [35,36,37,38].

2. Patients and Methods

Our inclusion criteria were as follows: patients with pancreatic ductal adenocarcinoma (20 men and 12 women, aged 44–82 years) before treatment diagnosed in the Second Department of General Surgery, Medical University of Bialystok, Poland. Microscopic examination of material obtained during biopsy and/or surgery was used for the clinical diagnosis of PC. All tumors were staged in accordance with the tumor-nodulus-metastases (TNM) classification, proposed by the 5th International Union Against Cancer (UICC) [39]. The control group included 32 healthy volunteers (17 men and 15 women, aged 27–67 years), who were recruited from hospital volunteer organizations. Characteristics of PC patients are presented in Table 1.
All PC patients participating in the study were divided into groups according to the following criteria: tumor stage (I + II, III, and IV), depth of tumor invasion (T1 + T2 + T3, and T4), presence of lymph node metastasis (N0 and N1) and distant metastasis (M0 and M1). The study was approved by the Local Ethics Committee (R-I-002/65/2017) and all the participants signed informed consent forms.
Blood samples from all the patients were obtained prior to treatment (Sarstedt, Nümbrecht, Germany) and stored at −80 °C until analysis. Serum CXCR2 and CXCR4 concentrations were measured using enzyme-linked immunosorbent assay kits (ELISA) (EIAab, Wuhan, China) according to the manufacturer’s instructions. Levels of the well-established tumor marker (CEA) were measured in the sera of patients by the chemiluminescent microparticle immunoassay (CMIA) method (Abbott Laboratories, Abbott Park, IL, USA) using ARCHITECT 8200 ci. Serum CRP levels were examined by the immunoturbidimetric method (Abbott) using ARCHITECT 8200 ci. In order to select optimal predicted probability cut-off values, the Youden’s index was used, because this index reflects the intension to maximize the correct classification rate. The reference cut-off values were 0.72 ng/mL for CXCR2; 1.56 ng/mL for CXCR4; 3.20 mg/L for CRP and 1.24 ng/mL for CEA.

Statistical Analysis

Serum CXCR2, CXCR4, CEA and CRP levels did not follow a normal distribution in the preliminary statistical analysis (χ2-test) and therefore nonparametric statistical analyses were performed. The Mann-Whitney test was used to compare two groups, while the Kruskal-Wallis test was employed in the analysis of three or more groups. In addition, the post hoc Dwass-Steele-Critchlow-Fligner test was performed if significant differences were calculated [40]. Moreover, for correlation analyses the Spearman rank correlation test was utilised. Furthermore, diagnostic sensitivity and specificity, accuracy, predictive value for positive (PV+ve) and negative (PV−ve) results as well as AUC were also calculated to assess the diagnostic utility of the tested proteins. The differences were considered as statistically significant when P < 0.05. IBM SPSS Statistics 20.0 was employed for statistical analysis, while Microsoft Office Excel (company, city, state abbrev if USA, country) was used to calculate diagnostic parameters. Logistic regression was performed to evaluate the strength of association between various risk factors and PC. In the first step, univariate logistic regression models were performed to evaluate the relationship of each variable with PC risk. Then, variables with p < 0.05 were introduced into the multivariate model. In the last step of analysis, the significant variables were removed in a stepwise manner from the model based on the Wald statistic.

3. Results

Serum concentrations of both specific receptors for chemokines (CXCR4, p < 0.001 and CXCR2, p = 0.01) as well as the classical tumor marker (CEA, p < 0.001) and the marker of inflammation (CRP, p < 0.001) were statistically significantly higher in PC patients when compared to healthy volunteers (Table 2).
When we considered the association between serum concentrations of the analyzed proteins and PC tumor stage according to TNM classification, we found that the serum levels of CXCR4, CRP and CEA were higher in advanced stage of disease in comparison to early PC. However, there were no differences of CXCR2 and CXCR4 levels between cancer patients and stage of the disease (Table 3).
If we analyzed associations between serum concentrations of the analyzed proteins and the depth of tumor invasion (T-factor) in PC, we found that serum levels of CXCR4, CXCR2 and CEA were higher in the T4 subgroup in comparison to T1 + T2 + T3 subgroup, however these differences were not statistically significant (Table 4). In addition, we established that serum CXCR4 levels were higher in patients with nodal involvement (N1 subgroup) and distant metastasis (M1 subgroup) in comparison to patients without nodal involvement (N0 subjects) and the presence of distant metastasis (M0 subjects), similarly to serum CRP and CEA levels, but statistically significant differences were not found (Table 4).
The Spearman rank correlation test was performed to assess correlation analyses (Table 5). The concentrations of CXCR4 significantly correlated with CXCR2 (p < 0.001) and CRP (p = 0.01), while CRP concentrations correlated with CXCR2 (p = 0.03) and CEA (p < 0.001) concentrations (Table 5).
The percentage of elevated results (diagnostic sensitivity) for CXCR4 (91%) was higher than for CXCR2 (75%) and CRP (69%), but marginally lower than for CEA (94%). In addition, the combined analysis of CXCR4 and CEA or CRP improved the diagnostic sensitivity up to 100% (Figure 1). The diagnostic specificity for CXCR4 levels (69%) was higher than that for CXCR2 (66%) and the classical tumor marker (CEA–47%), but lower in comparison to CRP levels (94%), similarly to the predictive value for positive (PV+ve) results. However, the predictive value for negative (PV−ve) results for CXCR4 (88%) was the same as for CEA and higher than that of CXCR2 (72%) and CRP (75%). The diagnostic accuracy of CXCR4 (80%) was similar to that of CRP (81%), but far higher than that of CXCR2 and CEA (70%). The highest accuracy was observed for the combined use of CXCR4 and CRP (83%) (data not shown).
The AUC for CXCR4 (0.8496, p < 0.001) was the highest among all the proteins tested (CXCR2–0.7373, p = 0.001), CEA (0.7539, p < 0.001) and CRP (0.8013, p < 0.001) (Figure 2). The cut-off values of the analysed proteins were established using the Youden Index and were as follows: 0.72 ng/mL for CXCR2; 1.56 ng/mL for CXCR4; 3.20 mg/L for CRP and 1.24 ng/mL for CEA.
In the first step of analysis, the association between PC risk and several risk factors was analysed in univariate analysis in order to identify risk factors that qualify for the multivariate model. The results were presented as p value as well as odd ratios (OR). The serum levels of CXCR4 (p = 0.01 OR = 1.228), CXCR2 (p = 0.01, OR = 5.816), the well-established tumor marker–CEA (p = 0.01, OR = 1.684) and CRP (p = 0.01, OR = 1.493) as well as patients age (p < 0.001, OR = 1.137) were associated with a significantly increased prediction of PC. In the next step of our analysis, the variables which were found to be statistically significant in the univariate logistic regression analysis were entered into the multivariate model. Finally, in the last step of analysis, significant variables were removed from the model in a stepwise manner. Therefore, in the final model only serum CXCR2 (p = 0.05, OR = 4.618) and CEA (p = 0.01, OR = 1.807) as well as age (p = 0.01, OR = 1.135) were significant predictors of PC risk.

4. Discussion

PC is characterised by abnormal expression of various growth factors, enhanced angiogenesis and resistance to apoptosis, all of which impact on the aggressiveness of PC [41,42]. Chemokines and their specific receptors play a crucial role in tumor development, including PC [43]. PC is a highly invasive disease as 80% of patients present with tumors extending locally beyond the pancreas as well as metastases. Furthermore, the aggressive nature of the tumor and a lack of sensitivity to most treatment modalities are the primary cause of PC mortality, with a rate equal to its incidence [43]. Therefore, an intensive search for new biomarkers useful in the diagnosis and prognosis of PC is ongoing. The role of specific receptors for chemokines in the development of various malignancies, including PC, has been suggested by some authors, but the studies were commonly performed on PC tissue, using mostly immunohistochemical techniques [5,8,17,24,25]. To our knowledge, there is a dearth of research regarding serum CXCR2 and CXCR4 concentrations in PC patients in relation to the clinicopathological characteristics of the tumor as well as the diagnostic and prognostic potential of these protein in comparison to the classical tumor biomarker (CEA) and the marker of inflammation (CRP). The present paper is a continuation of our previous studies concerning the search for novel biomarkers of PC, such as selected cytokines [44] including chemokines [38] as well as several metalloproteinases (MMP-9, MMP-2) and their tissue inhibitors [45,46].
In the present paper we demonstrated that serum CXCR4 and CXCR2 were significantly elevated in PC patients compared to healthy controls, similarly to the classical tumor marker and CRP. Based on our results, we may suggest that PC cells are able to produce these proteins. Other researchers have also revealed that the expression of CXCR2 and CXCR4 in PC tissue is higher in comparison to non-PC controls. The authors have proved that PC cells possess a higher capability for producing chemokines than inflammatory cells [24,43,47,48].
Our study found significant correlations between serum concentrations of the analysed proteins and the clinicopathological characteristics of PC. However, significant differences were indicated only between serum levels of the analysed receptors (CXCR4 and CXCR2) in all the studied subgroups of PC patients (tumor stage, T, N, M factor) and control groups. Contradictory results have been presented by other authors who revealed that CXCR4 expression significantly correlated with advanced stages of the disease and tumor progression [24,25]. In addition, a study by Marchesi et al. indicated that the CXCR4 receptor is frequently expressed in metastatic PC cells [49]. Our previous study revealed that CXCL8 concentrations were significantly higher in patients with the presence of lymph node metastasis in comparison to patients without nodal involvement [38].
In our present study we performed the Spearman rank correlation test. The concentrations of CXCR4 significantly correlated with CXCR2 and CRP levels, while CRP concentrations correlated with CXCR2 and CEA levels. We have previously demonstrated that serum CXCL8 levels significantly correlated with CRP levels and the presence of lymph node metastasis in PC patients [38].
The present study evaluated the diagnostic significance of selected receptors for chemokines (CXCR4 and CXCR2) in comparison to the well-established tumor marker–CEA. The diagnostic sensitivity and the PV−ve for CXCR4 was similar to those of CEA and higher than those of CXCR2 and CRP, while the AUC for CXCR4 was the highest among all the tested proteins (CXCR2, CEA, CRP). In reference to percentage of elevated concentrations, the combined analysis of CXCR4 and the well-established tumor marker may be more useful in the diagnosis of PC when compared to the measurement of a single biomarker.
Our present study also revealed that serum CXCR2, CEA and age were significant predictors of PC risk. We have previously demonstrated that serum CXCL8 was the only significant predictor of PC risk [38].

5. Conclusions

The mortality rate of PC is equal to its incidence and the majority of PC patients die within a few months of diagnosis. According to our knowledge, this paper is the first study concerning the assessment of serum CXCR4 and CXCR2 in PC patients in relation to the well-established marker for this malignancy. Based on the presented findings, we may conclude that serum CXCR4 is a better candidate for a tumor marker than CXCR2 in the diagnosis of PC, while serum CXCR2 is a significant predictor of PC risk.

Author Contributions

A.L.-Z., M.Ł.-Z. and B.M. produced the idea of the study. A.L.-Z. and A.K.-P. contributed to research design and measurement of tested proteins. M.G. and B.K. were involved in the sample collection. All authors analyzed the data. B.M. coordinated project funding. All authors have read and agreed to the published version of the manuscript.

Funding

The APC was funded by Medical University of Białystok.

Acknowledgments

The presented project was supported by the Medical University of Bialystok, Poland.

Conflicts of Interest

BM has received consultation and/or lecture honoraria from Abbott, Wiener, Roche, Cormay and Biameditek; MŁZ has received consultation and/or lecture honoraria from Roche.

References

  1. Raman, D.; Baugher, P.J.; Thu, Y.M.; Richmond, A. Role of chemokines in tumor growth. Cancer Lett. 2007, 256, 137–165. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Shrivastava, M.S.; Hussain, Z.; Giricz, O.; Shenoy, N.; Polineni, R.; Maitra, A.; Verma, A.K. Targeting chemokine pathways in esophageal adenocarcinoma. Cell Cycle 2014, 13, 3320–3327. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Rot, A.; von Andrian, U.H. Chemokines in innate and adaptive host defense: Basic chemokinese grammar for immune cells. Annu. Rev. Immunol. 2004, 22, 891–928. [Google Scholar] [CrossRef] [PubMed]
  4. Balkwill, F.; Mantovani, A. Inflammation and cancer: Back to Virchow? Lancet 2001, 357, 539–545. [Google Scholar] [CrossRef]
  5. Zhang, J.; Liu, C.; Mo, X.; Shi, H.; Li, S. Mechanisms by which CXCR4/CXCL12 cause metastatic behavior in pancreatic cancer. Oncol. Lett. 2018, 15, 1771–1776. [Google Scholar] [CrossRef]
  6. Vandercappellen, J.; Van Damme, J.; Struyf, S. The role of CXC chemokines and their receptors in cancer. Cancer Lett. 2008, 267, 226–244. [Google Scholar] [CrossRef]
  7. Chatterjee, S.; Behnam Azad, B.; Nimmagadda, S. The intricate role of CXCR4 in cancer. Adv. Cancer Res. 2017, 124, 31–82. [Google Scholar]
  8. Zhao, H.; Guo, L.; Zhao, J.; Weng, H.; Zhao, B.; Zhao, H. CXCR4 over-expression and survival in cancer: A system review and meta-analysis. Oncotarget 2015, 6, 5022–5040. [Google Scholar] [CrossRef] [Green Version]
  9. Highfill, S.L.; Cui, Y.; Giles, A.; Smith, J.P.; Zhang, H.; Morse, E.; Kaplan, R.N.; Mackall, C.L. Disruption of CXCR2-Mediated MDSC Tumor Trafficking Enhances Anti-PD1 Efficacy. Sci. Transl. Med. 2014, 6, 237ra67. [Google Scholar] [CrossRef]
  10. Steele, C.W.; Karim, S.A.; Leach, J.D.; Bailey, P.; Upstill-Goddard, R.; Rishi, L.; Foth, M.; Bryson, S.; McDaid, K.; Wilson, Z.; et al. CXCR2 Inhibition Profoundly Suppresses Metastases and Augments Immunotherapy in Pancreatic Ductal Adenocarcinoma. Cancer Cell 2016, 29, 832–845. [Google Scholar] [CrossRef] [Green Version]
  11. Müller, A.; Homey, B.; Soto, H. Involvement of chemokine receptors in breast cancer metastasis. Nature 2001, 410, 50–56. [Google Scholar] [CrossRef] [PubMed]
  12. Lazennec, G.; Richmond, A. Chemokines and chemokine receptors: New insights into cancer-related inflammation. Trends Mol. Med. 2010, 16, 133–144. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Cheng, Y.; Ma, X.L.; Wei, Y.Q.; Wei, X.W. Potential roles and targeted therapy of the CXCLs/CXCR2 axis in cancer and inflammatory diseases. Biochim. Biophys. Acta Rev. Cancer 2019, 1871, 289–312. [Google Scholar] [CrossRef]
  14. Ikeda, O.; Egami, H.; Ishiko, T.; Ishikawa, S.; Kamohara, H.; Hidaka, H.; Takahashi, M.; Ogawa, M. Signal of proteinase-activated receptor-2 contributes to highly malignant potential of human pancreatic cancer by up-regulation of interleukin-8 release. Int. J. Oncol. 2006, 28, 939–946. [Google Scholar] [CrossRef] [PubMed]
  15. Lesina, M.; Kurkowski, M.U.; Ludes, K.; Rose-John, S.; Treiber, M.; Klöppel, G.; Yoshimura, A.; Reindl, W.; Sipos, B.; Akira, S.; et al. Stat3/Socs3 activation by IL-6 transsignaling promotes progression of pancreatic intraepithelial neoplasia and development of pancreatic cancer. Cancer Cell 2011, 19, 456–469. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Fukuda, A.; Wang, S.C.; Morris, J.P.; Folias, A.E.; Liou, A.; Kim, G.E.; Akira, S.; Boucher, K.M.; Firpo, M.A.; Mulvihill, S.J.; et al. Stat3 and MMP7 contribute to pancreatic ductal adenocarcinoma initiation and progression. Cancer Cell 2011, 19, 441–455. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Kuwada, Y.; Sasaki, T.; Morinaka, K.; Kitadai, Y.; Mukaida, N.; Chayama, K. Potential involvement of IL-8 and its receptors in the invasiveness of pancreatic cancer cells. Int. J. Oncol. 2003, 22, 765–771. [Google Scholar] [CrossRef]
  18. Rajarathnam, K.; Desai, U.R. Structural Insights Into How Proteoglycans Determine Chemokine-CXCR1/CXCR2 Interactions: Progress and Challenges. Front. Immunol. 2020, 11, 660. [Google Scholar] [CrossRef]
  19. Ali, S.; Lazennec, G. Chemokines: Novel targets for breast cancer metastasis. Cancer Metastasis Rev. 2007, 26, 401–420. [Google Scholar] [CrossRef] [Green Version]
  20. Strieter, R.M.; Burdick, M.D.; Gomperts, B.N.; Belperio, J.A.; Keane, M.P. CXC chemokines in angiogenesis. Cytokine Growth Factor Rev. 2005, 16, 593–609. [Google Scholar] [CrossRef] [Green Version]
  21. Zhou, Z.; Xia, G.-K.; Xiang, Z.; Liu, M.; Wei, Z.-W.; Yan, J.; Chen, W.; Zhu, J.-T.; Awasthi, N.; Sun, X.; et al. C-X-C chemokine receptor type 2-dominated crosstalk between tumor cells and macrophages drives gastric cancer metastasis. Clin. Cancer Res. 2019. [Google Scholar] [CrossRef] [Green Version]
  22. Chen, Y.; Shi, M.; Yu, G.-Z.; Qin, X.-R.; Jin, G.; Chen, P.; Zhu, M.-H. Interleukin-8, a promising predictor for prognosis of pancreatic cancer. World J. Gastroenterol. 2012, 18, 1123–1129. [Google Scholar] [CrossRef] [PubMed]
  23. Sleightholm, R.L.; Neilsen, B.K.; Li, J. Emerging roles of the CXCL12/CXCR4 axis in pancreatic cancer progression and therapy. Pharmacol. Ther. 2017, 179, 158–170. [Google Scholar] [CrossRef] [PubMed]
  24. Wehler, T.; Wolfert, F.; Schimanski, C.C.; Gockel, I.; Herr, W.; Biesterfeld, S.; Seifert, J.K.; Adwan, H.; Berger, M.R.; Junginger, T.; et al. Strong expression of chemokine receptor CXCR4 by pancreatic cancer correlates with advanced disease. Oncol. Rep. 2006, 16, 1159–1164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Saur, D.; Seidler, B.; Schneider, G.; Algül, H.; Beck, R.; Senekowitsch–Schmidtke, R.; Schwaiger, M.; Schmid, R.M. CXCR4 expression increases liver and lung metastasis in a mouse model of pancreatic cancer. Gastroenterology 2005, 129, 1344–1347. [Google Scholar] [CrossRef]
  26. Chu, L.C.; Goggins, M.G.; Fishman, E.K. Diagnosis and Detection of Pancreatic Cancer. Cancer J. 2017, 23, 333–342. [Google Scholar] [CrossRef]
  27. Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer Statistics, 2017. CA Cancer J. Clin. 2017, 67, 7–30. [Google Scholar] [CrossRef] [Green Version]
  28. National Cancer Institute. SEER Cancer Statistics Review, 1975–2014. 2017. Available online: https://seer.cancer.gov/csr/1975_2014/ (accessed on 27 March 2019).
  29. Chang, J.C.; Kundranda, M. Novel Diagnostic and Predictive Biomarkers in Pancreatic Adenocarcinoma. Int. J. Mol. Sci. 2017, 18, 667. [Google Scholar] [CrossRef] [Green Version]
  30. Heaney, M.L.; Golde, D.W. Soluble receptor in human disease. J. Leukoc. Biol. 1998, 64, 135–146. [Google Scholar] [CrossRef]
  31. Levine, S.J. Mechanism of soluble cytokine receptor generation. J. Immunol. 2004, 173, 5343–5348. [Google Scholar] [CrossRef] [Green Version]
  32. Tsimanis, T.; Kalinkovich, A.; Bentwich, Z. Soluble chemokine CCR5 receptor is present in human plasma. Immunol. Lett. 2005, 96, 55–61. [Google Scholar] [CrossRef] [PubMed]
  33. Katlinski, K.; Akalovich, S.; Katlinskaya, Y. Immunoregulation SLBAW2-C Soluble human CXCR2: Structure, properties, bioactivity. Cytokine 2009, 48, 81. [Google Scholar] [CrossRef]
  34. Malvoisin, E.; Livrozet, J.-M.; Makloufi, D.; Vincent, N. Soluble chemokine receptor CXCR4 is present in human sera. Anal. Biochem. 2011, 414, 202–207. [Google Scholar] [CrossRef] [PubMed]
  35. Łukaszewicz-Zając, M.; Mroczko, B.; Kozłowski, M.; Szmitkowski, M. Serum Concentrations of Chemokine CXCL12 and Its Specific Receptor CXCR4 in Patients with Esophageal Cancer. Dis. Markers 2016, 2016, 7963895. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Łukaszewicz-Zając, M.; Muszyński, P.; Kozłowski, M.; Kulczyńska-Przybik, A.; Szmitkowski, M.; Mroczko, B. Serum concentrations of receptor for interleukin 8 in patients with esophageal cancer. Pol. Arch. Med. Wewn. 2016, 126, 854–861. [Google Scholar] [CrossRef]
  37. Łukaszewicz-Zając, M.; Pączek, S.; Muszyński, P.; Kozłowski, M.; Mroczko, B. Comparison between clinical significance of serum CXCL-8 and classical tumor markers in oesophageal cancer (OC) patients. Clin. Exp. Med. 2019. [Google Scholar] [CrossRef] [Green Version]
  38. Litman-Zawadzka, A.; Łukaszewicz-Zając, M.; Gryko, M.; Kulczyńska-Przybik, A.; Mroczko, B. Serum chemokine CXCL8 as a better biomarker for diagnosis and prediction of pancreatic cancer than its specific receptor CXCR2, C-reactive protein, and classic tumor markers CA 19-9 and CEA. Pol. Arch. Med. Wewn. 2018, 128, 524–531. [Google Scholar]
  39. Jass, J.R.; Sobin, L.H. WHO International Histological Classification of Tumors. Histological Typing of Intestinal Tumors; Springer: New York, NY, USA, 1989. [Google Scholar]
  40. Hollander, M.; Wolfe, D.A. Nonparametric Statistical Methods; John Wiley & Sons: New York, NY, USA, 1999; pp. 240–249. [Google Scholar]
  41. Evans, U.B.; Lee, J.E.; Pisters, P.W.T.; Charnsangavej, C.; Ellis, L.M.; Chiao, P.J.; Lenzi, R.; Abbruzzese, J.L. Advances in the diagnosis and treatment of adenocarcinoma of the pancreas. Cancer Treat. Res. 1997, 90, 109–125. [Google Scholar]
  42. Wanebo, H.J.; Vezeridis, M.P. Pancreatic carcinoma in perspective. A continuing challenge. Cancer 1996, 78, 580–591. [Google Scholar] [CrossRef]
  43. Sarvaiya, P.J.; Guo, D.; Ulasov, I.; Gabikian, P.; Lesniak, M.S. Chemokines in tumor progression and metastasis. Oncotarget 2013, 4, 2171–2185. [Google Scholar] [CrossRef] [Green Version]
  44. Groblewska, M.; Mroczko, B.; Wereszczynska-Siemiatkowska, U.; Mysliwiec, P.; Kędra, B.; Szmitkowski, M. Serum levels of granulocyte colony-stimulating factor (G-CSF) and macrophage colony-stimulating factor (M-CSF) in pancreatic cancer patients. Clin. Chem. Lab. Med. 2007, 45, 30–34. [Google Scholar] [CrossRef]
  45. Mroczko, B.; Lukaszewicz-Zajac, M.; Wereszczynska-Siemiatkowska, U.; Groblewska, M.; Gryko, M.; Kedra, B.; Jurkowska, G.; Szmitkowski, M. Clinical significance of the measurements of serum matrix metalloproteinase-9 and its inhibitor (tissue inhibitor of metalloproteinase-1) in patients with pancreatic cancer: Metalloproteinase-9 as an independent prognostic factor. Pancreas 2009, 38, 613–618. [Google Scholar] [CrossRef]
  46. Łukaszewicz-Zając, M.; Gryko, M.; Pączek, S.; Szmitkowski, M.; Kędra, B.; Mroczko, B. Matrix metalloproteinase 2 (MMP-2) and its tissue inhibitor 2 (TIMP-2) in pancreatic cancer (PC). Oncotarget 2019, 10, 395–403. [Google Scholar] [CrossRef] [PubMed]
  47. Wang, Q.; Zheng, J.; Ni, Q.; Zhu, H.; Lu, Y.; Qian, H.; Zhu, J. Prognostic significance of CXCR2 expression in pancreatic ductal carcinoma. Zhonghua Yi Xue Za Zhi 2014, 94, 3805–3808. [Google Scholar] [PubMed]
  48. Ding, Y.; Du, Y. Clinicopathological significance and prognostic role of chemokine receptor CXCR4 expression in pancreatic ductal adenocarcinoma, a meta-analysis and literature review. Int. J. Surg. 2019. [Google Scholar] [CrossRef] [PubMed]
  49. Marchesi, F.; Monti, P.; Leone, B.E.; Zerbi, A.; Vecchi, A.; Piemonti, L.; Mantovani, A.; Allavena, P. Increased survival, proliferation, and migration in metastatic human pancreatic tumor cells expressing functional CXCR4. Cancer Res. 2004, 64, 8420–8427. [Google Scholar] [CrossRef] [Green Version]
Figure 1. The percentage of elevated concentrations of CXCR4 and CXCR-2, well-established tumor marker (CEA) and C-reactive protein (CRP) in pancreatic cancer (PC) patients.
Figure 1. The percentage of elevated concentrations of CXCR4 and CXCR-2, well-established tumor marker (CEA) and C-reactive protein (CRP) in pancreatic cancer (PC) patients.
Ijms 21 06193 g001
Figure 2. Areas under ROC curves (AUC) for CXCR4 (0.8496, p < 0.001), receptor CXCR2 (0.7373, p = 0.002), CEA (0.7539, p < 0.001), CRP (0.8013, p < 0.001) in pancreatic cancer patients.
Figure 2. Areas under ROC curves (AUC) for CXCR4 (0.8496, p < 0.001), receptor CXCR2 (0.7373, p = 0.002), CEA (0.7539, p < 0.001), CRP (0.8013, p < 0.001) in pancreatic cancer patients.
Ijms 21 06193 g002
Table 1. Characteristics of pancreatic cancer patients.
Table 1. Characteristics of pancreatic cancer patients.
Variable TestedNumber of Patients
GroupPancreatic cancer (PC)32
GenderMale20
Female12
TNM StageI + II8
III10
IV14
Depth of Tumor Invasion
(T Factor)
T1 + 2 + 310
T422
Nodal Involvement
(N Factor)
N013
N119
Distant Metastases
(M factor)
M018
M114
Abbreviations: M, distant metastases; N, nodal involvement; PC, pancreatic cancer; T, depth of tumor invasion; TNM, tumor nodulus-metastasis.
Table 2. Serum levels of analyzed proteins in pancreatic cancer patients in comparison to healthy controls.
Table 2. Serum levels of analyzed proteins in pancreatic cancer patients in comparison to healthy controls.
Group TestedCXCR-4
[ng/mL]
CXCR-2
[ng/mL]
CRP
[mg/L]
CEA
[ng/mL]
Pancreatic Cancer (PC)Min0.540.000.300.92
Me6.481.0210.302.67
Max45.032.26269.40319.21
Control Group (Healthy Subjects)Min0.070.0000.200.50
Me0.890.630.951.34
Max25.051.725.004.54
p (PC vs. Healthy Controls)<0.001 a0.001 a<0.001 a<0.001 a
a Statistically significant when p < 0.05. Abbreviations: CEA, carcinoembryonic antigen; CRP, C-reactive protein; CXCR2, specific C-X-C motif chemokine receptor 2; CXCR4, specific C-X-C motif chemokine receptor 4; Max, maximum; Me, median; Min, minimum; PC, pancreatic cancer.
Table 3. Serum levels of analyzed proteins in relation to tumor stage of pancreatic cancer.
Table 3. Serum levels of analyzed proteins in relation to tumor stage of pancreatic cancer.
CXCR4
[ng/mL]
CXCR2
[ng/mL]
CRP
[mg/L]
CEA
[ng/mL]
I + IIMin1.700.000.301.20
Me3.951.0312.951.72
Max45.031.86161.5010.94
IIIMin0.690.080.300.92
Me6.391.022.802.69
Max22.362.1739.2017.35
IVMin0.540.250.601.31
Me7.081.0226.152.91
Max25.622.26269.40319.21
Control Group
(CG)
Min0.070.000.200.50
Me0.890.630.951.34
Max25.051.725.004.54
p (Kruskal-Wallis Test)<0.001 a0.01 a<0.001 a0.02 a
p (post hoc Dwass-Steele-Critchlow-Fligner testI + II vs. III0.981.000.630.76
I + II vs. IV0.991.000.760.29
I + II vs. CG0.01 a0.160.04 a0.49
III vs. IV0.901.000.100.90
III vs. CG0.01 a0.210.310.10
IV vs. CG<0.001 a0.03 a<0.001 a0.01 a
a Statistically significant when p < 0.05. Abbreviations: CEA, carcinoembryonic antigen; CRP, C-reactive protein; CXCR2, specific C-X-C motif chemokine receptor 2; CXCR4, specific C-X-C motif chemokine receptor 4; M, distant metastases; Max, maximum; Me, median; Min, minimum; N, nodal involvement; PC, pancreatic cancer; T, depth of tumor invasion; TNM, tumor-nodulus-metastasis.
Table 4. Serum levels of analyzed proteins in relation to clinicopathological features of PC.
Table 4. Serum levels of analyzed proteins in relation to clinicopathological features of PC.
Pancreatic Cancer (PC)CXCR4
[ng/mL]
CXCR2
[ng/mL]
CRP
[mg/L]
CEA
[ng/mL]
Depth of tumor invasion
(T factor)
T1 + 2 + 3Min1.700.000.701.20
Me5.880.9312.651.99
Max45.031.86161.5010.94
T4Min0.540.080.300.92
Me6.701.058.102.91
Max25.622.26269.40319.21
Control group (CG)Min0.070.000.200.50
Me0.890.630.951.34
Max25.051.725.004.54
p (Kruskal-Wallis test)<0.001 a0.01 a<0.001 a0.01 a
p (post hoc Dwass-Steele-Critchlow-Fligner test)1 + 2 + 3 vs. 40.980.901.000.54
1 + 2 + 3 vs.0.01 a0.120.01 a0.10
4 vs. CG<0.001 a0.01 a0.01 a0.10
Presence of lymph node metastasis
(N factor)
N0Min0.690.080.300.92
Me3.150.777.101.92
Max45.031.86161.507.22
N1Min0.540.000.301.24
Me6.741.0614.303.00
Max25.622.26269.40319.21
Control group (CG)Min0.070.000.200.50
Me0.890.630.951.34
Max25.051.725.004.54
p (Kruskal-Wallis test)<0.001 a0.01 a<0.001 a0.01 a
p (post hoc Dwass-Steele-Critchlow-Fligner test)0 vs. 10.470.640.360.25
0 vs. CG0.01 a0.110.01 a0.13
1 vs. CG<0.001 a0.01 a<0.001 a0.01 a
Presence of distant metastasis (M factor)M0Min0.690.000.300.92
Me5.781.036.751.99
Max45.032.17161.5017.35
M1Min0.540.250.601.31
Me7.081.0226.152.91
Max25.622.26269.40319.21
Control group (CG)Min0.070.000.200.50
Me0.890.630.951.34
Max25.051.725.004.54
p (Kruskal-Wallis test)<0.001 a0.01 a<0.001 a0.01 a
p (post hoc Dwass-Steele-Critchlow-Fligner test)0 vs. 10.821.000.100.32
0 vs. CG<0.001 a0.03 a0.01 a0.04 a
1 vs. CG<0.001 a0.02 a<0.001 a0.01 a
a Statistically significant when p < 0.05. Abbreviations: CEA, carcinoembryonic antigen; CRP, C-reactive protein; CXCR2, specific C-X-C motif chemokine receptor 2; CXCR4specific C-X-C motif chemokine receptor 4; M, distant metastases; Max, maximum; Me, median; Min, minimum; N, nodal involvement; PC, pancreatic cancer; T, depth of tumor invasion; TNM, tumor-nodulus-metastasis.
Table 5. Correlations between clinicopathological characteristics of pancreatic cancer and serum levels of analyzed proteins.
Table 5. Correlations between clinicopathological characteristics of pancreatic cancer and serum levels of analyzed proteins.
TNTNMAgeCXCR4CXCR2CRPCEA
Tr1.000.420.490.01−0.040.060.020.22
p 0.02 a<0.001 a0.970.840.740.900.24
Nr0.421.000.530.000.210.160.240.29
p0.02 a <0.001 a0.990.250.380.180.11
TNMr0.490.531.000.330.04−0.020.260.30
p<0.001 a<0.001 a 0.060.810.900.150.09
Ager0.010.000.331.000.410.440.570.31
p0.970.990.06 <0.001 a<0.001 a<0.00 a<0.001 a
CXCR4R−0.040.210.040.411.000.710.370.11
p0.840.250.81<0.001 a <0.001 a<0.00 a0.39
CXCR2R0.060.16−0.020.440.711.000.270.00
p0.740.380.90<0.001 a<0.00 a 0.03 a0.98
CRPR0.020.240.260.570.370.271.000.44
p0.900.180.15<0.001 a<0.001 a0.03 a <0.001 a
CEAR0.220.290.300.310.110.000.441.00
p0.240.110.090.01 a0.390.98<0.001 a
a Statistically significant when p < 0.05. Abbreviations: CEA, carcinoembryonic antigen; CRP, C-reactive protein; CXCR4, specific C-X-C motif chemokine receptor 4; CXCR2, specific C-X-C motif chemokine receptor 2; M, distant metastases; N, nodal involvement; T, depth of tumor invasion; TNM, tumor-nodulus-metastasis.

Share and Cite

MDPI and ACS Style

Litman-Zawadzka, A.; Łukaszewicz-Zając, M.; Gryko, M.; Kulczyńska-Przybik, A.; Kędra, B.; Mroczko, B. Specific Receptors for the Chemokines CXCR2 and CXCR4 in Pancreatic Cancer. Int. J. Mol. Sci. 2020, 21, 6193. https://doi.org/10.3390/ijms21176193

AMA Style

Litman-Zawadzka A, Łukaszewicz-Zając M, Gryko M, Kulczyńska-Przybik A, Kędra B, Mroczko B. Specific Receptors for the Chemokines CXCR2 and CXCR4 in Pancreatic Cancer. International Journal of Molecular Sciences. 2020; 21(17):6193. https://doi.org/10.3390/ijms21176193

Chicago/Turabian Style

Litman-Zawadzka, Ala, Marta Łukaszewicz-Zając, Mariusz Gryko, Agnieszka Kulczyńska-Przybik, Bogusław Kędra, and Barbara Mroczko. 2020. "Specific Receptors for the Chemokines CXCR2 and CXCR4 in Pancreatic Cancer" International Journal of Molecular Sciences 21, no. 17: 6193. https://doi.org/10.3390/ijms21176193

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