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KRAS Mutation Dictates the Cancer Immune Environment in Pancreatic Ductal Adenocarcinoma and Other Adenocarcinomas

Department of Radiation Oncology & Therapy, The First Hospital of Jilin University, Changchun 130021, China
Department of Pediatric Ultrasound, The First Hospital of Jilin University, Changchun 130021, China
Author to whom correspondence should be addressed.
Cancers 2021, 13(10), 2429;
Submission received: 27 March 2021 / Revised: 22 April 2021 / Accepted: 3 May 2021 / Published: 18 May 2021
(This article belongs to the Special Issue Tumor Microenvironment of Pancreatic Cancer)



Simple Summary

The vast majority of patients with pancreatic ductal adenocarcinomas harbor KRAS mutations in their tumors. Functionally, mutated KRAS is not only dedicated to tumor cell proliferation, survival and invasiveness, but also causing the immunosuppression in this cancer. In this situation, current data indicating the therapeutic effects of immune checkpoint inhibitors on pancreatic ductal adenocarcinomas are still not satisfying. In order to reflect the present bottleneck of immune checkpoint inhibitors in managing this cancer, we mainly provide information associated with the mechanism by which KRAS mutations establish the immunosuppressive milieus in pancreatic ductal adenocarcinomas. Together with other advances in this field, future directions to overcome the KRAS mutation-induced immunosuppression in pancreatic ductal adenocarcinomas are raised as well. Meanwhile, lung adenocarcinomas and colorectal adenocarcinomas are enumerated to compare with pancreatic ductal adenocarcinomas, aiming to indicate the specificity of KRAS mutations in dictating tumoral immune milieus among these cancers.


Generally, patients with pancreatic ductal adenocarcinoma, especially those with wide metastatic lesions, have a poor prognosis. Recently, a breakthrough in improving their survival has been achieved by using first-line chemotherapy, such as gemcitabine plus nab-paclitaxel or oxaliplatin plus irinotecan plus 5-fluorouracil plus calcium folinate. Unfortunately, regimens with high effectiveness are still absent in second- or later-line settings. In addition, although immunotherapy using checkpoint inhibitors definitively represents a novel method for metastatic cancers, monotherapy using checkpoint inhibitors is almost completely ineffective for pancreatic ductal adenocarcinomas largely due to the suppressive immune milieu in such tumors. Critically, the genomic alteration pattern is believed to impact cancer immune environment. Surprisingly, KRAS gene mutation is found in almost all pancreatic ductal adenocarcinomas. Moreover, KRAS mutation is indispensable for pancreatic carcinogenesis. On these bases, a relationship likely exists between this oncogene and immunosuppression in this cancer. During pancreatic carcinogenesis, KRAS mutation-driven events, such as metabolic reprogramming, cell autophagy, and persistent activation of the yes-associated protein pathway, converge to cause immune evasion. However, intriguingly, KRAS mutation can dictate a different immune environment in other types of adenocarcinoma, such as colorectal adenocarcinoma and lung adenocarcinoma. Overall, the KRAS mutation can drive an immunosuppression in pancreatic ductal adenocarcinomas or in colorectal carcinomas, but this mechanism is not true in KRAS-mutant lung adenocarcinomas, especially in the presence of TP53 inactivation. As a result, the response of these adenocarcinomas to checkpoint inhibitors will vary.

1. Introduction

In humans, patients with pancreatic ductal adenocarcinomas (PDACs) commonly have a poor prognosis. As reported in 2018, the five-year survival rate of PDAC patients is only 9% [1]. The biology of PDAC is aggressive, and a certain portion of patients will die from disease-related complications rather than this disease itself [2]. Traditional approaches for managing this cancer include surgery, radiotherapy and chemotherapy. To exploit the genomic characteristics of PDAC, some molecular targeted approaches have been developed. These approaches have exhibited therapeutic effects in a small portion of metastatic cases carrying specific driver alterations, such as the treatment of cases with a germline breast cancer susceptibility gene 1 (BRCA1) or BRCA2 mutation using olaparib, a poly ADP-ribose polymerase (PARP) inhibitor, or the treatment of cases with neuro trophin receptor kinase gene (NTRK) gene fusions using larotrectinib or entrectinib [3]. Recently, immune checkpoint blockade (ICB) therapy has opened a new era in the comprehensive treatment of cancers. In metastatic PDAC, only patients with the high microsatellite instability (MSI-H) or deficient mismatch repair (dMMR) phenotype in their tumors are reported to benefit from the ICB therapy with pembrolizumab, an anti-programmed death-1 (PD-1) drug [4]. However, the MSI-H/dMMR phenotype is rarely detected in PDAC. For those patients without the MSI-H/dMMR phenotype, available data indicate that their responses to monotherapy by using ICB drugs are extremely poor [5].
The existing immune environment in tumors will impact the effectiveness of ICB therapy [6]. In PDAC, the tumor milieu is generally immunosuppressive [7]. Recently, driver oncogenes have been recognized to play a convincing role in the cancer immune status [8]. In PDAC, the Kirsten rat sarcoma virus oncogene homolog (KRAS) gene is broadly mutated [9]. KRAS mutations in PDAC include those induced by a missense mutation in codon 12 or codon 13, leading to a replacement of the original glycine (G) by other amino acids, thus causing persistent activation of the KRAS protein in this setting [9]. The KRAS mutation acts as a driver to cause PDAC occurrence and progression together with the concomitant inactivation of other genes, such as tumor protein P53 gene (TP53), cyclin dependent kinase inhibitor 2A gene (CDKN2A) and SMAD family member 4 gene (SMAD4) [10,11] (Figure 1). In this process, the KRAS mutation will also lead to activation of downstream pathways that can improve cancer cell survival, proliferation, immune evasion and drug resistance [7,9]. Concerning immunosuppression in PDAC, the KRAS mutation utilizes several routes to achieve this goal, such as activating the yes-associated protein (YAP)- tafazzin (TAZ) pathway and its downstream Janus kinase-signal transducers and activators of transcription 3 (JAK-STAT3) signaling [12], inducing cell autophagy-associated major histocompatibility complex-I (MHC-I) degradation by reprogramming glucose metabolism [13,14], and synergizing with other genetic alterations (e.g., TP53 inactivation) [15] (Figure 1). Consequently, PDAC tumors can be infiltrated by myeloid cells with pro-cancer functions, such as neutrophils, myeloid-derived suppressive cells (MDSCs) and M2-like macrophages [7].
In addition to PDAC, other cancers in humans, such as colorectal adenocarcinomas (CRACs) and lung adenocarcinomas (LUACs), also harbor a high prevalence of KRAS mutations [9]. Although KRAS mutation has been revealed to correlate with immune evasion in PDAC [13,14], the situation in LUAC appears to be different because LUAC tumors with KRAS mutation plus TP53 inactivation commonly have massive infiltration of tumoricidal T cells and PD-L1 upregulation [16]. Moreover, clinical data support that LUAC patients with this pattern of tumor immunity can largely benefit from anti-PD-1 monotherapy [17]. Similarly, KRAS mutation is able to cause immunosuppression in CRAC tumors as well. However, unlike in PDAC, the published data suggest that CRAC patients with this phenotype can benefit from a combinational strategy featuring conventional therapy plus an ICB drug [18]. Importantly, despite having KRAS mutation, PDACs, CRACs and LUACs differ in their tumor immune status (Table 1).
Given the above information, this review will focus on the role of KRAS mutation in dictating pancreatic carcinogenesis and the cancer immune status in PDAC, aiming to illustrate the response of PDAC to ICB therapy in published data and to provide new insights into the use of ICB therapy in PDAC treatment. In addition, we will consider other KRAS-mutant cancers, such as CRAC and LUAC, and compare them with PDAC, aiming to uncover the mechanism by which KRAS mutation dictates the cancer immune status across these adenocarcinomas.

2. The Carcinogenic Role of KRAS Mutation in PDAC

Human PDAC exclusively has KRAS mutation rather than neuroblastoma RAS viral oncogene homolog gene (NRAS) or Harvey rat sarcoma viral oncogene homolog gene (HRAS) mutation [9]. Overall, 97.7% of PDAC cases are detected to have the KRAS mutation [9]. G12D, G12V and G12R are the three most common missense forms of KRAS mutation in PDAC, while the G12D missense mutation is the most frequent among them [9] (Table 1). Physiologically, the normal KRAS protein has GTPase activity, but these missense variants generate a KRAS protein that stably binds with GTP, thus constitutively activating MAPK and PI3K-Akt pathways, two classical pathways responsible for maintaining cell survival and proliferation [35] (Figure 1). For example, in mice bearing PDAC, the KRASG12D mutation was revealed to activate the MAPK and PI3K-Akt pathways to increase the cellular content of Krüppel-like factor 5 (KLF5), which was required for PDAC cell proliferation [36]. Consistently, in human cell lines, MAPK activation upon KRAS mutation was revealed to induce posttranscriptional modification of YAP, and KRAS mutation was able to augment the transcriptional activity of YAP on its target genes [37]. Functionally, YAP-TAZ activation was demonstrated to be required for pancreatic carcinogenesis in mice carrying the KRASG12D mutation: YAP and TAZ protein levels were upregulated in each stage of PDAC pathogenesis, including pancreatitis, acinar-to-ductal metaplasia (ADM) and pancreatic intraepithelial neoplasia (PanIN), and double knockout of Yap and Taz genes significantly mitigated KRASG12D mutation-induced ADM and PanIN lesions [12]. In fact, YAP is essential for maintaining glucose metabolism in normal pancreatic epithelial cells [37]. This means that the KRAS mutation potentially induces a metabolic dysregulation of glucose. In a previous study, the KRASG12D mutation was revealed to induce an upregulation of the gene encoding NIX, a critical protein for inducing mitophagy, thus restricting glucose flux into mitochondria (Figure 1). Via this mechanism, glucose metabolism in PDAC cells could be switched to favor glycolysis, and the antioxidant program could be activated, thus facilitating cell proliferation [13]. To understand the relationship among KRAS mutation, the antioxidant program and cell proliferation in PDAC, another study conducted by the same team reported that the KRASG12D mutation could activate the nuclear-related factor 2 (Nrf2)-related antioxidant program in pancreatic epithelial cells of mice; in addition, PanIN cells from Nrf2-deficient mice were less proliferative than those without Nrf2 deficiency [38]. Consistent with this finding, inhibiting glutathione synthesis in PanIN cells without Nrf2 deficiency decreased their proliferation [38]. Collectively, these results show that KRAS mutation impacts the proliferation of PDAC cells in a metabolic manner (Figure 1).

3. The KRAS Mutation and Immune Environment in PDAC

In addition to impacting cell survival, proliferation and nutrient metabolism during pancreatic carcinogenesis, KRAS mutations also function in controlling the cancer immune environment. As documented, competition for glucose between cancer cells and stromal immune cells serves as a route for immune evasion of tumors [39]. As evidenced in mice, pancreatic epithelial cells carrying the KRASG12D mutation and Lkb1 inactivation were revealed to enhance their proliferation by overly consuming glucose [19]. In addition, in mice bearing pancreatitis-induced ADM, KLF5 deficiency was revealed to suppress STAT3 activation [36]. Generally, STAT3 activation correlates with immune suppression in cancers [40]. In the presence of KRASG12D mutation, Stat3 was revealed to be required for the development of ADM and PanIN during pancreatic carcinogenesis in mice [41]. In this model, IL-6 family cytokines were found to serve as inflammatory stimuli for STAT3 activation [41]. In another mechanism, KRASG12D mutation-induced upregulation of YAP and TAZ was revealed to potently activate the downstream JAK-STAT3 pathway during pancreatic carcinogenesis in mice [12] (Figure 1). In fact, mutant KRAS can cooperate with extracellular stimuli, such as inflammation, the gut microbiota and gastrointestinal peptides, to persistently activate downstream YAP-TAZ signaling, which undermines immune surveillance against PDAC cells in addition to improving their proliferation, invasion, survival and metabolism [42]. In PDAC, a high expression of YAP was revealed to correlate with a poor histological grade of tumor cells [43], a high risk of metastasis and a poor prognosis of patients [44].
Mechanistically, KRAS mutation-induced activation of YAP enables PDAC cells to release IL-4, IL-6, IL-13, MCP-1 and CSF-1, which promote the recruitment of tumor-associated macrophages (TAMs) into tumors and induce them to proliferate and polarize into an M2-like phenotype [45] (Figure 1). In addition, the prevalence of TP53 inactivation is only second to the prevalence of KRAS mutation in PDAC [10], meaning that a large portion of patients concomitantly harbor KRAS mutation and TP53 inactivation [10]. To evaluate the function of this genetic alteration pattern in pancreatic carcinogenesis, concomitantly transgenic mutations of KRASG12D and Tp53R172H were introduced into the pancreas of mice, resulting in PDAC formation and metastasis [46]. In this research, the Tp53R172H mutation was found to accelerate chromosomal instability in the presence of the KRASG12D mutation compared with wild-type Tp53 [46]. In addition, the Tp53 inactivation cooperated with the KRAS mutation to induce PDAC cells to secrete chemokine C-X-C motif receptor (CXCR3)/chemokine C-C motif receptor (CCR2)-associated chemokines and CSF-1, thus recruiting myeloid-derived suppressive cells (MDSCs) into PDAC tumors and promoting the expansion of MDSCs [15]. In addition, PDAC tumors with KRAS mutation plus Tp53 inactivation had increased numbers of Treg cells compared with PDAC tumors with only KRAS mutation [15]. In tumors with both alterations, the Treg cells presented upregulation of CD25, glucocorticoid-induced tumor necrosis factor receptor (GITR) and killer cell lectin like receptor G1 (KLRG1), indicating increased suppressive ability [15]. In addition, Th1 and CD8+ T cell-mediated anticancer responses were attenuated [15]. Conversely, pancreas-specific knockout of Yap in mice carrying KRASG12D/Tp53R172H co-mutation restored the expression of cytotoxicity-associated genes by CD8+ T cells in addition to preventing MDSC accumulation [47]. This result suggests that Yap is required for KRAS mutation-induced immunosuppression in PDAC tumors.
In concert with the KRAS mutation, alterations in environmental, genetic and molecular levels, such as hypoxia, LKB1 mutation, PTEN loss, PIK3CA activation, WNT/β-catenin activation, FAK activation and MYC proto-oncogene (MYC) activation also contribute to immune suppression in PDAC tumors [29,30] (Figure 1). For example, hypoxia can activate HIF-1α, and moreover, HIF-1α activation is potent in inducing tumoral angiogenesis by increasing the expression of VEGF [48]. This event also occurs in PDAC [49]. As documented, VEGF is a potent cytokine that undermines anticancer immunity by dictating the expansion, phenotypic conversion and suppressive function of tumor-infiltrating immune cells, such as MDSCs, TAMs, dendritic cells (DCs) and Treg cells [48] (Figure 1). In response to hypoxia, some infiltrating immune cells, such as DCs and TAMs, and the endothelium can induce self-expression of PD-L1 molecule, thus impairing the infiltration, survival and effector function of tumoricidal T cells [48]. In addition to immune cells, tumor cells are critical sources of PD-L1. For example, the transcriptional activation of MYC enables PDAC cells to upregulate PD-L1 expression [50]. In addition, mixed lineage leukemia protein-1 (MLL1) can upregulate PD-L1 expression: as a histone methyltransferase, MLL1 can accelerate histone 3 lysine 4 (H3K4) trimethylation in the promoter of the gene encoding PD-L1 [51]. Via these actions, immune evasion in PDAC tumors can be facilitated. Thus, as documented, features of the immune milieu in PDAC tumors include infiltration of cancer-supportive cells (e.g., cancer-associated fibroblasts (CAFs), Treg cells, suppressive neutrophils, indoleamine 2,3-dioxygenase (IDO)-producing DCs, M2-like TAMs and MDSCs), upregulation of suppressive cytokines (e.g., nitric oxide, hyaluronic acid, IL-6, IL-10, VEGF, TGF-β, CSF-1, GM-CSF, CXCL1, CXCL8, CXCL12 and CXCL13), angiogenesis and ‘T cell exclusion’ [7,52,53] (Figure 1). In fact, both in humans and mice, although PDAC tumors were found to harbor tumoricidal T cell infiltrates, few of them were found in the vicinity of PDAC cells, a phenomenon known as ‘T cell exclusion’ [53,54] (Figure 1). This exclusion is a critical mechanism by which intratumoral cells, such as CAFs, M2-like TAMs and MDSCs, encourage PDAC cells to escape T cell attack [52]. In support of this mechanism, CAF-derived CXCL12 was demonstrated to show a high affinity to PDAC cells, whereas inhibition of CXCR4 by using AMD3100 could significantly limit the tumor growth of mice bearing PDAC in a T cell-dependent manner [54]. Moreover, upon CXCR4 inhibition, PDAC cells could be besieged by massive numbers of T cells [54]. In addition, myeloid-derived Ly6GLow+/F4/80+ macrophages served as extratumoral cells that caused T cell exclusion from the PDAC tumors of mice [55]. In summary, due to the lack of tumoricidal T cells and the enrichment of immunosuppressive cells and cytokines, the immune milieu of PDAC tumors is generally cancer-supportive (Figure 1).

4. Current Status of Immune Checkpoint Blockade Therapy for PDAC

Since the tumoral milieu of PDAC is immunosuppressive, ICB therapy is anticipated to have low effectiveness in this cancer. In fact, several lines of clinical data have confirmed this speculation, and the effectiveness of monotherapy by using ICB drugs in patients with metastatic PDAC remains disappointing [5]. For example, a phase II study reported that as a second- or later-line therapy for metastatic PDAC, durvalumab (an anti-PD-L1 drug) alone and durvalumab plus tremelimumab (an anti-cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) drug) had objective response rate (ORR) values of 0% and 3.1%, respectively [56] (Table 2). Prior to this study, in order to improve the effectiveness of ICB therapy, a phase I study employed stereotactic body radiation therapy (SBRT) in combination with ICB therapy (in this case pembrolizumab) to upregulate the expression of the genes encoding PD-L1 and MHC-I in tumor cells and improve the production of tumor-associated antigens (TAAs) by recruiting tumoricidal T cells and by improving the production of IFN-γ by CD8+ T cells [18] as a strategy against metastatic cancers, and this combination achieved an ORR of 13.2% among enrolled patients [57]. However, this study only included three patients with metastatic PDAC, and their ORR to this strategy was not reported. Recently, a single-center phase I study tested SBRT plus durvalumab with or without tremelimumab as a second- or later-line therapy for metastatic PDAC patients [58]. Unexpectedly, the ORR for this strategy was only 5.1% [57]. As with radiotherapy, chemotherapy agents exert cytotoxicity to induce immunogenic cell death (ICD) as well [59]. To evaluate the synergistic effect of chemotherapy plus ICB therapy, a phase I study was carried out, and 2 of 11 patients with metastatic PDAC achieved a partial response after receiving gemcitabine-based chemotherapy plus pembrolizumab [60]. Yet, these two patients were chemotherapy-naïve. In contrast, the remaining patients had received at least one line of chemotherapy before receiving this therapy combination, which had produced stable disease in most of them [60]. Consistent with this finding, another phase I study concluded that an anti-CTLA-4 drug (ipilimumab) plus gemcitabine exhibited no advantages over gemcitabine alone in increasing the ORR of patients with metastatic PDAC [61]. Notably, most patients had received at least one line therapy prior to being enrolled in the study. Hence, the above data suggest that ICB drugs are not effective in significantly shrinking the size of PDAC tumors when used as a second- or later-line therapy regardless of whether they are used alone or in combination with radiotherapy or chemotherapy (Table 2).
In fact, metastatic cancers commonly show clonal evolution of tumor cells as the therapies are engaged [67], and this scenario is suitable for ICB therapy [68]. As reported, first-line chemotherapy using [FOLFIRINOX] (oxaliplatin plus irinotecan plus 5-fluorouracil plus calcium folinate) [69] or [GA] (gemcitabine plus nab-paclitaxel) [70] regimens significantly prolonged the overall survival of patients with metastatic PDAC compared with gemcitabine monotherapy, implying that these combination regimens are more effective in killing tumor cells. In this regard, adding ICB drugs to intensive chemotherapy is speculated to further improve the prognosis of patients, mainly because the increased burden of neoantigens derived from lysed cancer cells can potentially improve anticancer immunity when these antigens are successfully presented by DCs to peripheral T cells [71]. When such T cells migrate into the tumor, they can recognize the cancer clones sharing the neoantigens and then kill these cancer cells [71]. Supporting this theory, recent data from several phase I and II trials indeed revealed that as a first-line therapy, chemotherapy plus ICB therapy had improved effectiveness compared with as a second- or later-line therapy in metastatic PDAC (Table 2). For example, gemcitabine plus tremelimumab achieved an ORR of 10.5% [62]. The [GA] regimen plus nivolumab (an anti-PD-1 drug) or plus pembrolizumab achieved ORRs ranging from 18% to 50% [63,64]. More strikingly, when [GA] regimen was combined with durvalumab plus tremelimumab, the ORR was 73% [65]. In addition, an ORR of 80% was achieved when nivolumab was added to the regimen containing nab-paclitaxel, cisplatin, gemcitabine and paricalcitol [66]. These combinational strategies were tolerated by most enrolled patients. Therefore, although these trials had low patient numbers, their data at least provide new insights into the future management of metastatic PDAC by using chemotherapy plus ICB therapy in the first-line setting. Nevertheless, the prognostic value of this strategy in metastatic PDAC remains to be elucidated via randomized phase III trials.
Overall, the currently published data indicate an extremely low effectiveness of monotherapy by using ICI drugs or their combination with other conventional approaches, such as radiotherapy or chemotherapy, as second- or later-line therapies for metastatic PDAC (Table 2). In PDAC, only the MSI-H/dMMR phenotype is indicative of response to pembrolizumab. However, the prevalence of the MSI-H/dMMR phenotype in PDAC has been reported to be only 1~2% [25], but intriguingly, the MSI-H/dMMR phenotype was found to be strongly correlated with a high tumor mutational burden (TMB) and a wild-type KRAS and p53 molecular background [66]. Consequently, to achieve a breakthrough in the management of PDAC with KRAS mutation, a focus should be placed on eliminating the tumor cell- or stromal cell-induced barriers that counteract anticancer immunity. Recent studies in this field have revealed several strategies, such as adding an antiangiogenic drug [72], an anti-IL-6 antibody [73], an ataxia telaniectasia-mutated gene-coded protein (ATM) inhibitor [74], a CD40 agonist [55], a CSF1R inhibitor [75], a YAP inhibitor plus a pan-RAF proto-oncogene (RAF) inhibitor [43], a CXCR4 inhibitor [54], a PARP inhibitor [76], a Listeria vaccine plus an anti-CD25 antibody [77], a FAK inhibitor [78], a CCR2 inhibitor [79], an IDO inhibitor plus the GM-CSF-conjugated whole-cell PDAC vaccine (GVAX) [80], or the combination of anti-PD-1 and anti-PD-L1 monoclonal antibodies [81], that have been confirmed to improve the immune milieu and the effectiveness of ICB therapy in preclinical models of PDAC. On these bases, some strategies using ICB therapy plus GVAX or other means, such as CXCR4 inhibition, CSF1R inhibition and CD40 blockade, have been designed to treat PDAC patients in clinical trials [52]. A few strategies have exhibited their effectiveness, such as the success of GVAX plus ipilimumab in prolonging the survival of PDAC patients [82].
A few small molecular compounds, such as AMG510, MRTX849, ARS-3248/JNJ-74699157 or LY3499446, have been designed to antagonize cancer cells carrying the KRASG12C mutation [83]. Among them, the data of AMG510 and MRTX849 are encouraging. For example, both in KRASG12C-mutated LUAC and CRAC models, basic experiments revealed the tumoricidal activity of AMG510 or MRTX849 both in vitro and in vivo [84,85]; Likewise, administration of AMG510 or MRTX849 was confirmed to cause a significant shrinkage of tumors among patients with the KRASG12C-mutated LUAC, CRAC or PDAC [84,85,86]. Moreover, the tumoral immune milieu can be improved by using such KRASG12C inhibitors. In the model of mice bearing KRASG12C-muated CT-26 cell line-derived tumors, following AMG510 administration, T cells were found to significantly infiltrate into tumors [84]. Particularly, most of them were positive for CD8, and they presented a proliferating status upon AMG510 administration [84]. Mechanically, AMG510 administration could induce the upregulation of CXCL10 and CXCL11 by tumor cells, two crucial chemoattractant of T cells, thus causing an increasement of T cells in xenografted tumors [84]. Meanwhile, DCs including CD103+ cross-presenting pool and macrophages were found to increase their infiltration in xenografted tumors as well [84]. Functionally, CD103+ DCs are crucial for T cell priming and activation, while activated CD8+ T cells can produce IFN-γ, which enables tumor cells to increase their expression of MHC-I [84]. Thus, following AMG510 administration, the tumoral immune milieu was characterized by increased interferon signaling, antigen processing, chemokine production, cytotoxic activity and innate immune system stimulation [84]. Similar to AMG510, in the model of mice bearing KRASG12C-muated CT-26 cell line-derived tumors, MRTX849 administration was revealed to induce the polarization of TAMs from M2 to M1, the infiltration of DCs, B cells and tumoricidal T cells in tumors, as well as the reduction of MDSCs in tumors [87]. Therefore, either AMG510 or MRTX849 plus an anti-PD-1 antibody were demonstrated to cause a durable shrinkage of xenografted tumors with KRASG12C mutation [84,87]. In fact, data associated with the potential of AMG510 or MRTX849 in shifting tumoral immune milieu from a suppressive to a tumoricidal state are mainly collected from the model of CRAC, rather than PDAC [84,87]. In this regard, more efforts should be paid in the future to reveal whether KRASG12C inhibition can improve the tumoral immune milieu of PDAC, thus enabling the combination of KRASG12C inhibition and anti-PD-1 therapy to overcome the immunosuppression in PDAC. However, the frequency of KRASG12C mutation only accounts for less than 3% among all PDAC cases, whereas approximately 50% of PDAC cases have the missense form of G12D [9]. In fact, adaptive transfer of CD8+ T cells that react with KRASG12D-mutated tumor cells were demonstrated to be an effective approach in treating CRAC [88]. In order to benefit the majority of PDAC patients, drugs or new treatment strategies that target G12D missense mutation should deserve attention; in this scenario, the tumoricidal activity of newly developed approaches along with their potentials in improving tumoral immune milieu should be explored in the future.

5. Value of KRAS Mutation for Predicting Cancer Immune Status in Other Adenocarcinomas

As mentioned above, PDAC, CRAC and LUAC are the top three cancers harboring a high prevalence of KRAS mutations [9] (Table 1). In CRAC, the prevalence of KRAS mutation is 44.7% [9]. As in PDAC, G12D is the most frequent missense mutation that causes consecutive activation of KRAS protein in CRAC [9] (Table 1). Among KRAS-mutant CRAC cases, 35% to 50% of them are reported to have concomitant inactivation in APC and p53 [22]. In mice bearing CRAC, the KRASG12D mutation was revealed to significantly increase the invasion and metastasis of cancer cells because conditional codeletion of Apc and Tp53 concomitant with KRASG12D mutation enabled primary and metastatic tumors to significantly upregulate the expression of the gene encoding TGF-β1, both a critical immunosuppressive cytokine [32] and a critical ligand of TGF-β/SMAD signaling that can dictate epithelial–mesenchymal transition (EMT) in CRAC cells [31]. Moreover, compared with patients with the wild-type RAS, CRAC patients harboring KRAS mutation generally have a poor prognosis [89].
However, the prevalence of the MSI-H/dMMR phenotype in CRAC is higher than that in PDAC. According to published data, the incidence of the MSI-H/dMMR phenotype in CRAC is 14% [26]. Currently, ICB therapy with pembrolizumab is recommended as the first-line therapy for metastatic CRAC with the MSI-H/dMMR phenotype, which has been confirmed as a reliable biomarker for predicting the outcome of ICB therapy by several lines of trial data [4,90,91]. Regardless, not all patients with this phenotype benefit from the ICB therapy [90,91]. In the KEYNOTE-177 study, chemotherapy plus bevacizumab was still more effective than pembrolizumab monotherapy in prolonging the progression-free survival of patients with metastatic disease, the MSI-H/dMMR phenotype and KRAS mutation [27]. Conversely, those patients without KRAS mutation did benefit more from pembrolizumab than chemotherapy plus bevacizumab [27]. Hence, these results suggest that KRAS mutation can undermine the effectiveness of pembrolizumab even in the presence of the MSI-H/dMMR phenotype. Critically, KRAS mutation was revealed to be enriched in CRAC with the microsatellite stability (MSS) or proficient mismatch repair (pMMR) phenotype [26]. However, published data reveal that patients with CRAC with the MSS/pMMR phenotype respond poorly to ICB therapy alone [28].
Similar to its role in PDAC (Table 1), KRAS mutation in CRAC with the MSS/pMMR phenotype generally correlates with immune suppression in the tumor. To address this issue, a study evaluated the role of KRAS mutation in dictating the cancer immune status of CRAC tumors [24], which were mainly classified into four subgroups, namely, consensus molecular subtype 1 (CMS1) (immune type), CMS2 (classical type), CMS3 (metabolic type) and CMS4 (mesenchymal type), according to which molecular pathways were enriched [26]. The results indicated that CMS2 or CMS3 tumors with KRAS mutation had a significantly reduced number of tumoricidal T cells compared with those without wild-type KRAS [24]. To explore the mechanism, experiments were performed in mice bearing CRAC with the KRASG12D mutation plus conditional depletion of Apc and Tp53, and this genetic alteration pattern was found to enable the tumors to have increased numbers of MDSCs but decreased numbers of CD4+ or CD8+ T cells compared with the pattern of conditional codeletion of Apc and Tp53 [33]. In detail, the KRASG12D mutation was able to activate ERK, which showed a negative relationship with the expression of the gene encoding interferon-related factor 2 (IRF2) by tumor cells [24]. In return, IRF2 inactivation upregulated the expression of the gene encoding CXCL3, a chemokine that attracts MDSCs into tumors, thus impairing the expansion and IFN-γ-producing function of tumoricidal T cells [33]. Notably, KRAS mutation-related IRF2 inactivation was revealed to correlate with a poor response of CRAC patients to ICB therapy [33]. Conversely, in mice bearing CRAC with the KRASG12D mutation plus codeletion of Apc and Tp53, blocking CXCR2 on MDSCs improved the efficacy of anti-PD-1 therapy by increasing the number of CD8+ T cells but decreasing the number of Treg cells in tumors [33]. In fact, the CRAC tumors in these mice were revealed to resemble the CMS4 tumors in terms of some molecular signatures, such as the TGF-β/EMT signature [31]. As reported, the patients in the CMS4 subgroup commonly presented with rapid disease progression along with a poorer prognosis than the patients in other subgroups [26]. As such, KRAS mutation-induced immunosuppression potentially contributes to this process. In addition, CD8+ T cells that recognize the cancer cell clones carrying the KRASG12D mutation have been shown to exist in human CRAC tumors [92]. To our knowledge, the recognition of tumor antigens by tumoricidal T cells is as critical as having these cells infiltrate into tumors. Therefore, ICB therapy is speculated to improve the anticancer effect of T cells on KRAS-mutant CRAC.
In fact, KRAS-mutant CRAC still has several differences from PDAC in tumor biology (Table 1). As mentioned above, CRAC patients with the MSS/pMMR phenotype appear to be inherently refractory to ICB therapy [28]. Unlike in PDAC, the data from clinical trials, such as VOLTAGE (chemoradiation followed by five doses of nivolumab before radical surgery as a neoadjuvant therapy for locally advanced rectal cancer) [93], MEDETREME (FOLFOX regimen plus durvalumab and tremelimumab as a first-line therapy for metastatic CRAC) [94] and REGONIVO (regorafenib plus nivolumab as a third-line therapy for refractory CRAC) [95], have confirmed that patients with MSS/pMMR tumors could benefit from ICB therapy-based combinational strategies. Certainly, a portion of patients harboring KRAS mutations in their tumors are included in these studies, thus helping to elucidate the role of chemoradiation, duplet chemotherapy or molecule-targeted therapy in boosting the tumoricidal milieu. In addition to using conventional means, several new means have been developed. As documented, KRAS mutation-driven molecular alterations cause CMS3 tumor cells to have dysregulated glucose, glutamine, fatty acid and lipid metabolism [26,34]. Targeting the metabolic abnormalities or blocking the downstream pathways affected by KRAS mutation, such as the MAPK and HIF-1-related pathways, has been shown to induce cancer cell death, potentially increasing the release of tumor antigens [34]. However, intriguingly, although KRAS-mutant CRAC cells have been revealed to consume glucose for their expansion, they are more resistant to glucose restriction than cells with wild-type KRAS [20]. This is another difference from PDAC cells, and murine pancreatic epithelial cells with the KRASG12D mutation with Lkb1 inactivation have been found to be sensitive to acute glucose restriction or glycolysis inhibition [39]. Consistent with this finding, LUAC cells in mice with homozygous KRASG12D/G12D mutation were more sensitive to glucose restriction than those with heterogeneous KRASG12D/wt mutation or KRASwt/wt, and a higher consumption of glucose occurred in LUAC cells with the KRASG12D/G12D mutation than in LUAC cells with other versions of KRAS [21]. Notably, G12C is the most common missense causing KRAS mutation in LUAC, with a prevalence of 30.9% in Western patients [9]. Nevertheless, KRAS mutation should not be regarded as a marker indicating immunosuppression in LUAC tumors because the immune milieu in KRAS-mutant LUAC tumors is heterogeneous. For example, the KRAS/LKB1 and KRAS/TP53 co-mutations enable LUAC patients to have dramatically different responses to ICB therapy because these two mutational patterns generally create a unique immune milieu in tumors (see details in [23]). Collectively, KRAS mutation can affect the cancer immune state in PDAC, CRAC and LUAC in different ways and contextures (Table 1).

6. Conclusions

The tumor milieu in PDAC is profoundly immunosuppressive, which renders monotherapy by using ICB drugs almost completely ineffective. Regarding the development of immunosuppression in PDAC, multiple factors are involved. Herein, KRAS mutation has been shown to be central in this process, because KRAS mutation can activate YAP-TAZ and JAK-STAT3 to elicit an immunosuppressive response, and this initial signaling can then be strengthened by coordination with TP53 inactivation and other genetic or molecular alterations. Overall, KRAS mutation generally correlates with tumor immunosuppression in PDAC. Nevertheless, in CRAC and LUAC, KRAS mutation can dictate the cancer immune environment in different ways. In these cancers, the immune milieu varies despite the commonality of KRAS mutation. This notion can be exemplified by KRAS-mutant LUAC, which exhibits a varied response to ICB therapy depending on the types of genetic alterations that cooccur with the KRAS mutation.

Author Contributions

P.C. wrote this paper, M.G. and Y.G. prepared the figure and tables. All authors have read and agreed to the published version of the manuscript.


This work was supported by National Natural Science Foundation of China [Grant No. 81874254], by Scientific and Technological Developing Scheme Foundation of Jilin Province [Grant No. 20200201400JC], and by Foundation of Scientific Research Planning Project of the 13th Five-year Plan of Jilin Provincial Department of Education [Grant No. JJKH20201043KJ].

Conflicts of Interest

The author declared no conflict of interest.


ADM: acinar-to-ductal metaplasia; APC: adenomatous polyposis coli protein; ATM: ataxia telaniectasia-mutated gene-coded protein; BRCA: breast cancer susceptibility gene; CAF: cancer-associated fibroblast; CCR: chemokine C-C motif receptor; CDKN2A: cyclin dependent kinase inhibitor 2A gene; CMS: consensus molecular subtype; CRAC: colorectal adenocarcinoma; CSF-1: macrophage-colony stimulating factor; CTLA-4: cytotoxic T lymphocyte-associated antigen-4; CXCL: chemokine C-X-C motif ligand; CXCR: chemokine C-X-C motif receptor; DC: dendritic cell; dMMR: deficient mismatch repair; EMT: epithelial-mesenchymal transition; FAK: focal adhesion kinase; GITR: glucocorticoid-induced tumor necrosis factor receptor; GM-CSF: granulocyte-macrophage colony stimulating factor; GVAX: GM-CSF-conjugated whole-cell PDAC vaccine; HIF-1: hypoxia-induced factor 1; HRAS: Harvey rat sarcoma viral oncogene homolog gene; H3K4: histone 3 lysine 4; ICB: immune checkpoint blockade; ICD: immunogenic cell death; IDO: indoleamine 2, 3-dioxygenase; IL: interleukin; IRF2: interferon-related factor 2; JAK: Janus kinase; KLF5: Krüppel-like factor 5; KLRG1: killer cell lectin-like receptor G1; KRAS: Kristen rat sarcoma virus oncogene homolog gene; LKB1: liver kinase B1 gene; LUAC: lung adenocarcinoma; MAPK: mitogen-activated protein kinase; MCP-1: monocyte chemotactic protein 1; MDSC: myeloid-derived suppressive cell; MHC-I: major histocompatibility complex-I; MLL1: mixed lineage leukemia protein 1; MSI: microsatellite instability; MSS: microsatellite stability; MYC: MYC proto-oncogene; NRAS: neuroblastoma RAS viral oncogene homolog gene; NIX: encoded by BNIP3L, Bcl2/adenovirus E1B 19 KDa protein-interacting protein 3-like gene; Nrf2: nuclear-related factor 2; NTRK: neuro trophin receptor kinase gene; ORR: objective response rate; PARP: poly ADP-ribose polymerase; PanIN: pancreatic intraepithelial neoplasia; PDAC: pancreatic ductal adenocarcinoma; PD-1: programmed death-1; PD-L1: programmed death ligand 1; PIK3CA: phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha; PI3K: phosphatidylinositol 3-kinase; pMMR: proficient mismatch repair; PTEN: phosphatase and tensin homolog gene; RAF: RAF proto-oncogene; SBRT: stereotactic body radiation therapy; SMAD4: SMAD family member 4 gene; STAT3: signal transducers and activators of transcription 3; TAA: tumor-associated antigen; TAM: tumor-associated macrophage; TAZ: tafazzin; TGF-β: transforming growth factor-beta; Th: T helper cell; TP53: tumor protein P53 gene; Treg: regulatory T cell; TMB: tumor mutational burden; VEGF: vascular endothelial growth factor; WNT: “Wingless/Integrated”; YAP: yes-associated protein.


  1. Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [Green Version]
  2. Vincent, A.; Herman, J.; Schulik, R.; Hruban, R.H.; Goggins, M. Pancreatic cancer. Lancet 2011, 378, 607–620. [Google Scholar] [CrossRef]
  3. Sohal, D.P.; Kennedy, E.B.; Cinar, P.; Conroy, T.; Copur, M.S.; Crane, C.H.; Garrido-Laguna, I.; Lau, M.W.; Johnson, T.; Krishnamurthi, S.; et al. Metastatic Pancreatic Cancer: ASCO Guideline Update. J. Clin. Oncol. 2020, 27, 3217–3230. [Google Scholar] [CrossRef] [PubMed]
  4. Marabelle, A.; Le, D.T.; Ascierto, P.A.; di Giacomo, A.M.; de Jesus-Acosta, A.; Delord, J.P.; Geva, R.; Gottfried, M.; Penel, N.; Hansen, A.R.; et al. Efficacy of Pembrolizumab in Patients with Noncolorectal High Microsatellite Instability/Mismatch Repair-Deficient Cancer: Results from the Phase II KEYNOTE-158 Study. J Clin. Oncol. 2020, 38, 1–10. [Google Scholar] [CrossRef] [PubMed]
  5. Henriksen, A.; Dyhl-Polk, A.; Chen, I.; Nielsen, D. Checkpoint inhibitors in pancreatic cancer. Cancer Treat. Rev. 2019, 78, 17–30. [Google Scholar] [CrossRef] [PubMed]
  6. Ribas, A.; Wolchok, J.D. Cancer immunotherapy using checkpoint blockade. Science 2018, 359, 1350–1355. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Liu, X.; Xu, J.; Zhang, B.; Liu, J.; Liang, C.; Meng, Q.; Hua, J.; Yu, X.; Shi, S. The reciprocal regulation between host tissue and immune cells in pancreatic ductal adenocarcinoma: New insights and therapeutic implications. Mol. Cancer. 2019, 18, 184. [Google Scholar] [CrossRef] [PubMed]
  8. Wellenstein, M.D.; de Visser, K.E. Cancer-Cell-Intrinsic Mechanisms Shaping the Tumor Immune Landscape. Immunity 2018, 48, 399–416. [Google Scholar] [CrossRef] [Green Version]
  9. Cox, A.D.; Fesik, S.W.; Kimmelman, A.C.; Luo, J.; Der, C.J. Drugging the undruggable RAS: Mission possible? Nat. Rev. Drug Discov. 2014, 13, 828–851. [Google Scholar] [CrossRef] [Green Version]
  10. Bailey, P.; Chang, D.K.; Nones, K.; Johns, A.L.; Patch, A.M.; Gingras, M.C.; Miller, D.K.; Christ, A.N.; Bruxner, T.J.; Quinn, M.C.; et al. Genomic analyses identify molecular subtypes of pancreatic cancer. Nature 2016, 531, 47–52. [Google Scholar] [CrossRef]
  11. Kamisawa, T.; Wood, L.D.; Itoi, T.; Takaori, K. Pancreatic cancer. Lancet 2016, 388, 73–85. [Google Scholar] [CrossRef]
  12. Gruber, R.; Panayiotou, R.; Nye, E.; Spencer-Dene, B.; Stamp, G.; Behrens, A. YAP1 and TAZ Control Pancreatic Cancer Initiation in Mice by Direct Up-regulation of JAK-STAT3 Signaling. Gastroenterology 2016, 151, 526–539. [Google Scholar] [CrossRef] [Green Version]
  13. Humpton, T.J.; Alagesan, B.; deNicola, G.M.; Lu, D.; Yordanov, G.N.; Leonhardt, C.S.; Yao, M.A.; Alagesan, P.; Zaatari, M.N.; Park, Y.; et al. Oncogenic KRAS Induces NIX-Mediated Mitophagy to Promote Pancreatic Cancer. Cancer Discov. 2019, 9, 1268–1287. [Google Scholar] [CrossRef] [Green Version]
  14. Yamamoto, K.; Venida, A.; Yano, J.; Biancur, D.E.; Kakiuchi, M.; Gupta, S.; Sohn, A.S.; Mukhopadhyay, S.; Lin, E.Y.; Parker, S.J.; et al. Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-I. Nature 2020, 581, 100–105. [Google Scholar] [CrossRef]
  15. Blagih, J.; Zani, F.; Chakravarty, P.; Hennequart, M.; Pilley, S.; Hobor, S.; Hock, A.K.; Walton, J.B.; Morton, J.P.; Gronroos, E.; et al. Cancer-Specific Loss of p53 Leads to a Modulation of Myeloid and T Cell Responses. Cell Rep. 2020, 30, 481–496. [Google Scholar] [CrossRef]
  16. Dong, Z.Y.; Zhong, W.Z.; Zhang, X.C.; Su, J.; Xie, Z.; Liu, S.Y.; Tu, H.Y.; Chen, H.J.; Sun, Y.L.; Zhou, Q.; et al. Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinoma. Clin. Cancer Res. 2017, 23, 3021–3024. [Google Scholar] [CrossRef] [Green Version]
  17. Skoulidis, F.; Goldberg, M.E.; Greenawalt, D.M.; Hellmann, M.D.; Awad, M.M.; Gainor, J.F.; Schrock, A.B.; Hartmaier, R.J.; Trabucco, S.E.; Gay, L.; et al. STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma. Cancer Discov. 2018, 8, 822–835. [Google Scholar] [CrossRef] [Green Version]
  18. Liang, T.; Tong, W.; Ma, S.; Chang, P. Standard therapies: Solutions for improving therapeutic effects of immune checkpoint inhibitors on colorectal cancer. OncoImmunology 2020, 9, 1773205. [Google Scholar] [CrossRef]
  19. Waters, A.M.; Der, C.J. KRAS: The Critical Driver and Therapeutic Target for Pancreatic Cancer. Cold Spring Harb. Perspect. Med. 2018, 8, a0311435. [Google Scholar] [CrossRef]
  20. Yun, J.; Rago, C.; Cheong, I.; Pagliarini, R.; Angenendt, P.; Rajagopalan, H.; Schmidt, K.; Willson, J.K.; Markowitz, S.; Zhou, S.; et al. Glucose deprivation contributes to the development of KRAS pathway mutations in tumor cells. Science 2009, 325, 1555–1559. [Google Scholar] [CrossRef] [Green Version]
  21. Kerr, E.M.; Gaude, E.; Turrell, F.K.; Frezza, C.; Martins, C.P. Mutant KRAS copy number defines metabolic reprogramming and therapeutic susceptibilities. Nature 2016, 531, 110–113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Vakiani, E.; Janakiraman, M.; Shen, R.; Sinha, R.; Zeng, Z.; Shia, J.; Cercek, A.; Kemeny, N.; D’Angelica, M.; Viale, A.; et al. Comparative genomic analysis of primary versus metastatic colorectal carcinomas. J. Clin. Oncol. 2012, 30, 2956–2962. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Gu, M.; Xu, T.; Chang, P. KRAS/LKB1 and KRAS/TP53 co-mutations create divergent immune signatures in lung adenocarcinomas. Ther. Adv. Med. Oncol. 2020. [Google Scholar] [CrossRef]
  24. Lal, N.; White, B.S.; Goussous, G.; Pickles, O.; Mason, M.J.; Beggs, A.D.; Taniere, P.; Willcox, B.E.; Guinney, J.; Middleton, G.W. KRAS Mutation and Consensus Molecular Subtypes 2 and 3 Are Independently Associated with Reduced Immune Infiltration and Reactivity in Colorectal Cancer. Clin. Cancer Res. 2018, 24, 224–233. [Google Scholar] [CrossRef] [Green Version]
  25. Luchini, C.; Brosens, L.A.A.; Wood, L.D.; Chatterjee, D.; Shin, J., II; Sciammarella, C.; Fiadone, G.; Malleo, G.; Salvia, R.; Kryklyva, V.; et al. Comprehensive characterization of pancreatic ductal adenocarcinoma with microsatellite instability: Histology, molecular pathology and clinical implications. Gut 2020, 70, 148–156. [Google Scholar] [CrossRef]
  26. Guinney, J.; Dienstmann, R.; Wang, X.; de Reynies, A.; Schlicker, A.; Soneson, C.; Marisa, L.; Roepman, P.; Nyamundanda, G.; Angelino, P.; et al. The consensus molecular subtypes of colorectal cancer. Nat. Med. 2015, 21, 1350–1356. [Google Scholar] [CrossRef]
  27. Andre, T.; Shiu, K.K.; Kim, T.W.; Jensen, B.V.; Jensen, L.H.; Punt, C.; Smith, D.; Garcia-Carbonero, R.; Benavides, M.; Gibbs, P.; et al. KEYNOTE-177: Phase 3, Open-label, randomized study of first-line pembrolizumab (Pembro) versus investigator-choice chemotherapy for mismatch repair-deficient (dMMR) or microsatellite instability-high (MSI-H) metastatic colorectal carcinoma (mCRC). J. Clin. Oncol. 2018, 36. [Google Scholar] [CrossRef]
  28. Ganesh, K.; Stadler, Z.K.; Cercek, A.; Mendelsohn, R.B.; Shia, J.; Segal, N.H.; Diaz, L.A. Immunotherapy in colorectal cancer: Rationale, challenges and potential. Nat. Rev. Gastroenterol. Hepatol. 2019, 16, 361–375. [Google Scholar] [CrossRef]
  29. Gan, L.L.; Hii, L.W.; Wong, S.F.; Leong, C.O.; Mai, C.W. Molecular Mechanisms and Potential Therapeutic Reversal of Pancreatic Cancer-Induced Immune Evasion. Cancers 2020, 12, 1872. [Google Scholar] [CrossRef]
  30. Sivaram, N.; McLaughlin, P.A.; Han, H.V.; Petrenko, O.; Jiang, Y.P.; Ballou, L.M.; Pham, K.; Liu, C.; van der Velden, A.W.; Lin, R.Z. Tumor-intrinsic PIK3CA represses tumor immunogenecity in a model of pancreatic cancer. J. Clin. Investig. 2019, 129, 3264–3276. [Google Scholar] [CrossRef] [Green Version]
  31. Boutin, A.T.; Liao, W.T.; Wang, M.; Hwang, S.S.; Karpinets, T.V.; Cheung, H.; Chu, G.C.; Jiang, S.; Hu, J.; Chang, K.; et al. Oncogenic KRAS drives invasion and maintains metastases in colorectal cancer. Genes Dev. 2017, 31, 370–382. [Google Scholar] [CrossRef] [Green Version]
  32. Yoshimura, A.; Muto, G. TGF-β function in immune suppression. Curr. Top Microbiol. Immunol. 2011, 350, 127–147. [Google Scholar]
  33. Liao, W.; Overman, M.J.; Boutin, A.T.; Shang, X.; Zhao, D.; Dey, P.; Li, J.; Wang, G.; Lan, Z.; Li, J.; et al. KRAS-IRF2 Axis Drives Immune Suppression and Immune Therapy Resistance in Colorectal Cancer. Cancer Cell. 2019, 35, 559–572. [Google Scholar] [CrossRef] [Green Version]
  34. Wang, G.; Wang, J.J.; Yin, P.H.; Xu, K.; Wang, Y.Z.; Shi, F.; Gao, J.; Fu, X.L. Strategies to target energy metabolism in consensus molecular subtype 3 along with Kirsten rat sarcoma viral oncogene homolog mutations for colorectal cancer therapy. J. Cell Physiol. 2019, 234, 5601–5612. [Google Scholar] [CrossRef]
  35. He, P.; Yang, J.W.; Yang, V.W.; Bialkowska, A.B. Krüppel-like Factor 5, Increased in Pancreatic Ductal Adenocarcinoma, Promotes Proliferation, Acinar-to-Ductal Metaplasia, Pancreatic Intraepithelial Neoplasia, and Tumor Growth in Mice. Gastroenterology 2018, 154, 1494–1508. [Google Scholar] [CrossRef] [Green Version]
  36. Zhang, W.; Nandakumar, N.; Shi, Y.; Manzano, M.; Smith, A.; Graham, G.; Gupta, S.; Vietsch, E.E.; Laughlin, S.Z.; Wadhwa, M.; et al. Downstream of mutant KRAS, the transcription regulator YAP is essential for neoplastic progression to pancreatic ductal adenocarcinoma. Sci. Signal. 2014, 7, ra42. [Google Scholar] [CrossRef] [Green Version]
  37. De Nicola, G.M.; Karreth, F.A.; Humpton, T.J.; Gopinathan, A.; Wei, C.; Frese, K. Oncogene-induced Nrf2 transcription promotes ROS detoxification and tumorigenesis. Nature 2011, 475, 106–109. [Google Scholar] [CrossRef]
  38. Chang, C.; Qiu, J.; O’Sullivan, D.; Buck, M.D.; Noguchi, T.; Curtis, J.D.; Chen, Q.; Gindin, M.; Gubin, M.M.; van der Windt, G.J.; et al. Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression. Cell 2015, 162, 1229–1241. [Google Scholar] [CrossRef] [Green Version]
  39. Kottakis, F.; Nicolay, B.N.; Roumane, A.; Karnik, R.; Gu, H.; Nagle, J.M.; Boukhali, M.; Hayward, M.C.; Li, Y.Y.; Chen, T.; et al. LKB loss links serine metabolism to DNA methylation and tumorigenesis. Nature 2016, 539, 390–395. [Google Scholar] [CrossRef] [Green Version]
  40. Jones, S.A.; Jenkins, B.J. Recent insights into targeting the IL-6 cytokine family in inflammatory diseases and cancer. Nat. Rev. Immunol. 2018, 18, 773–789. [Google Scholar] [CrossRef]
  41. Corcoran, R.B.; Contino, G.; Deshpande, V.; Tzatsos, A.; Conrad, C.; Benes, C.H.; Levy, D.E.; Settleman, J.; Engelman, J.A.; Bardeesy, N. STAT3 plays a critical role in KRAS-induced pancreatic tumorigenesis. Cancer Res. 2011, 71, 5020–5029. [Google Scholar] [CrossRef] [Green Version]
  42. Eibl, G.; Rozengurt, E. KRAS, YAP, and obesity in pancreatic cancer: A signaling network with multiple loops. Semin. Cancer Biol. 2019, 54, 50–62. [Google Scholar] [CrossRef]
  43. Zhao, X.; Wang, X.; Fang, L.; Lan, C.; Zheng, X.; Wang, Y.; Zhang, Y.; Han, X.; Liu, S.; Cheng, K.; et al. A combinatorial strategy using YAP and pan-RAF inhibitors for treating KRAS-mutant pancreatic cancer. Cancer Lett. 2017, 402, 61–70. [Google Scholar] [CrossRef] [PubMed]
  44. Allende, M.T.S.; Zeron-Medina, J.; Hernandez, J.; Macarulla, T.; Balsells, J.; Merino, X.; Allende, H.; Tabernero, J. Overexpression of Yes Associated Protein 1, an Independent Prognostic Marker in Patients with Pancreatic Ductal Adenocarcinoma, Correlated with Liver Metastasis and Poor Prognosis. Pancreas 2017, 46, 913–920. [Google Scholar] [CrossRef] [PubMed]
  45. Yang, W.; Yang, S.; Zhang, F.; Cheng, F.; Wang, X.; Rao, J. Influence of the Hippo-YAP signaling pathway on tumor associated macrophages (TAMs) and its implications on cancer immunosuppressive microenvironment. Ann. Transl. Med. 2020, 8, 399. [Google Scholar]
  46. Hingorani, S.R.; Wang, L.; Multani, A.S.; Combs, C.; Deramaudt, T.B.; Hruban, R.H.; Rustgi, A.K.; Chang, S.; Tuveson, D.A. Trp53R172H and KRASG12D cooperate to promote chromosomal instability and widely metastatic pancreatic ductal adenocarcinoma in mice. Cancer Cell 2005, 7, 469–483. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Murakami, S.; Shabhazian, D.; Surana, R.; Zhang, W.; Chen, H.; Graham, G.T. Yes-associated protein mediates immune reprogramming in pancreatic ductal adenocarcinoma. Oncogene 2017, 36, 1232–1244. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Fukumura, D.; Kloepper, J.; Amoozgar, Z.; Duda, D.G.; Jain, R.K. Enhancing cancer immunotherapy using antiangiogenics: Opportunities and challenges. Nat. Rev. Clin. Oncol. 2018, 15, 325–340. [Google Scholar] [CrossRef]
  49. Li, S.; Xu, H.X.; Wu, C.T.; Wang, W.Q.; Jin, W.; Gao, H.L.; Li, H.; Zhang, S.R.; Xu, J.Z.; Qi, Z.H.; et al. Angiogenesis in pancreatic cancer: Current research status and clinical implications. Angiogenesis 2019, 22, 15–36. [Google Scholar] [CrossRef]
  50. Sodir, N.M.; Kortlever, R.M.; Barthet, V.J.; Campos, T.; Pellegrinet, L.; Kupczak, S.; Anastasiou, P.; Swigart, L.B.; Soucek, L.; Arends, M.J.; et al. MYC Instructs and Maintains Pancreatic Adenocarcinoma Phenotype. Cancer Discov. 2020, 10, 588–607. [Google Scholar] [CrossRef] [Green Version]
  51. Lu, C.; Paschall, A.V.; Shi, H.; Savage, N.; Waller, J.L.; Sabbatini, M.E.; Oberlies, N.H.; Pearce, C.; Liu, K. The MLL1-H3K4me3 Axis-Mediated PD-L1 Expression and Pancreatic Cancer Immune Evasion. J. Natl. Cancer Inst. 2017, 109, djw283. [Google Scholar] [CrossRef] [Green Version]
  52. Johnson, B.A., III; Yarchoan, M.; Lee, V.; Laheru, D.A.; Jaffee, E.M. Strategies for Increasing Pancreatic Tumor Immunogenicity. Clin. Cancer Res. 2017, 23, 1656–1669. [Google Scholar] [CrossRef] [Green Version]
  53. Joyce, J.A.; Fearon, D.T. T cell exclusion, immune privilege, and the tumor microenvironment. Science 2015, 348, 74–80. [Google Scholar] [CrossRef] [Green Version]
  54. Feig, C.; Jones, J.O.; Kraman, M.; Wells, R.J.B.; Deonarine, A.; Chan, D.S. Targeting CXCL12 from FAP-expressing carcinoma-associated fibroblasts synergized with anti-PD-L1 immunotherapy in pancreatic cancer. Proc. Natl. Acad. Sci. USA 2013, 110, 20212–20217. [Google Scholar] [CrossRef] [Green Version]
  55. Beatty, G.L.; Winograd, R.; Evans, R.A.; Long, K.B.; Luque, S.L.; Lee, J.W.; Clendenin, C.; Gladney, W.L.; Knoblock, D.M.; Guirnalda, P.D.; et al. Exclusion of T cells From Pancreatic Carcinomas in Mice Is Regulated by Ly6C(low) F4/80(+) Extracuumoral Macrophages. Gastroenterology 2015, 149, 201–210. [Google Scholar] [CrossRef] [Green Version]
  56. O’Reilly, E.M.; Oh, D.Y.; Dhani, N.; Renouf, D.J.; Lee, M.A.; Sun, W.; Fisher, G.; Hezel, A.; Chang, S.C.; Vlahovic, G.; et al. Durvalumab With or Without Tremelimumab for Patients with Metastatic Pancreatic Ductal Adenocarcinoma: A phase 2 Randomized Clinical Trial. JAMA Oncol. 2019, 5, 1431–1438. [Google Scholar] [CrossRef]
  57. Luke, J.J.; Lemons, J.M.; Karrison, T.G.; Pitroda, S.P.; Melotek, J.M.; Zha, Y.; Al-Hallaq, H.A.; Arina, A.; Khodarev, N.N.; Janisch, L.; et al. Safety and Clinical Activity of Pembrolizumab and Multisite Stereotactic Body Radiotherapy in Patients with Advanced Solid Tumors. J. Clin. Oncol. 2018, 36, 1611–1618. [Google Scholar] [CrossRef]
  58. Xie, C.; Duffy, A.G.; Brar, G.; Fioravanti, S.; Mabry-Hrones, D.; Walker, M.; Bonilla, C.M.; Wood, B.J.; Citrin, D.E.; Ramirez, E.M.G.; et al. Immune Checkpoint Blockade in Combination with Stereotactic Body Radiotherapy in Patients with Metastatic Pancreatic Ductal Adenocarcinoma. Clin. Cancer Res. 2020, 26, 2318–2326. [Google Scholar] [CrossRef] [Green Version]
  59. Wang, Q.; Ju, X.; Wang, J.; Fan, Y.; Ren, M.; Zhang, H. Immunogenic cell death in anticancer chemotherapy and its impact on clinical studies. Cancer Lett. 2018, 438, 17–23. [Google Scholar] [CrossRef]
  60. Weiss, G.J.; Waypa, J.; Blaydorn, L.; Coats, J.; McGahey, K.; Sangal, A.; Niu, J.; Lynch, C.A.; Farley, J.H.; Khemka, V. A phase Ib study of pembrolizumab plus chemotherapy in patients with advanced cancer (PmebroPlus). Br. J. Cancer 2017, 117, 33–40. [Google Scholar] [CrossRef] [Green Version]
  61. Kamath, S.D.; Kalyan, A.; Kircher, S.; Nimeiri, H.; Fought, A.J.; Benson, A., III; Mulcahy, M. Ipilimumab and Gemcitabine for Advanced Pancreatic Cancer: A phase Ib Study. Oncologist 2020, 25, e808–e815. [Google Scholar] [CrossRef] [Green Version]
  62. Aglietta, M.; Barone, C.; Sawyer, M.B.; Moore, M.J.; Miller, W.H., Jr.; Bagalà, C.; Colombi, F.; Cagnazzo, C.; Gioeni, L.; Wang, E.; et al. A phase I dose, escalation trial of tremelimumab (CP-675,206) in combination with gemcitabine in chemotherapy-naive patients with metastatic pancreatic cancer. Ann. Oncol. 2014, 25, 1750–1755. [Google Scholar] [CrossRef]
  63. Wainberg, Z.A.; Hochster, H.S.; George, B.; Gutierrez, M.; Johns, M.E.; Chiorean, E.G.; Kwak, E.L.; Kalyan, A.; Manax, V.; Ye, M.; et al. Phase I study of nivolumab (nivo) + nab-paclitaxel (nab-P) + gemcitabine (Gem) in advanced pancreatic cancer (APC). J. Clin. Oncol. 2019, 37, 298. [Google Scholar] [CrossRef]
  64. Wainberg, Z.A.; Hochster, H.S.; George, B.; Gutierrez, M.; Johns, M.E.; Chiorean, E.G.; Kwak, E.L.; Kalyan, A.; Manax, V.; Ye, M.; et al. Phase I study of nivolumab (nivo) + nab-paclitaxel (nab-P) ± gemcitabine (Gem) in solid tumors: Interim results from the pancreatic cancer (PC) cohorts. J. Clin. Oncol. 2017, 35, 412. [Google Scholar] [CrossRef]
  65. Renouf, D.J.; Dhani, N.C.; Kavan, P.; Jonker, D.J.; Wei, A.C.C.; Hsu, T.; Tang, P.A.; Graham, B.; Gallinaro, L.; Hasan, T.; et al. The Canadian Cancer Trials Group PA.7 trial: Results from the safety run in of a randomized phase II study of gemcitabine (GEM) and nab-paclitaxel (Nab-P) versus GEM, nab-P, durvalumab (D), and tremelimumab (T) as first-line therapy in metastatic pancreatic ductal adenocarcinoma (mPDAC). J. Clin. Oncol. 2018, 36, 349. [Google Scholar]
  66. Borazanci, E.H.; Jameson, G.S.; Borad, M.J.; Ramanathan, R.K.; Korn, R.L.; Caldwell, L.; Ansaldo, K.; Hendrickson, K.; Marceau, K.; von Hoff, D.D. A phase II pilot trial of nivolumab (N) + albumin bound paclitaxel (AP) + paricalcitol (P) + cisplatin (C) + gemcitabine (G) (NAPPCG) in patients with previously untreated metastatic pancreatic ductal adenocarcinoma (PDAC). J. Clin. Oncol. 2018, 36, 358. [Google Scholar] [CrossRef]
  67. Dawood, S.; Austin, L.; Cristofanilli, M. Cancer stem cells: Implications for cancer therapy. Oncology 2014, 28, 1101–1107. [Google Scholar] [PubMed]
  68. Riaz, N.; Havel, J.J.; Makarov, V.; Desrichard, A.; Urba, W.J.; Sims, J.S.; Hodi, F.S.; Martín-Algarra, S.; Mandal, R.; Sharfman, W.H.; et al. Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab. Cell 2017, 171, 934–949. [Google Scholar] [CrossRef] [Green Version]
  69. Conroy, T.; Desseigne, F.; Ychou, M.; Bouché, O.; Guimbaud, R.; Bécouarn, Y.; Adenis, A.; Raoul, J.L.; Gourgou-Bourgade, S.; de la Fouchardière, C.; et al. FOLFIRINOX versus gemcitabine for metastatic pancreatic cancer. N. Engl. J. Med. 2011, 364, 1817–1825. [Google Scholar] [CrossRef] [Green Version]
  70. Von Hoff, D.D.; Ervin, T.; Arena, F.P.; Chiorean, E.G.; Infante, J.; Moore, M.; Seay, T.; Tjulandin, S.A.; Ma, W.W.; Saleh, M.N.; et al. Increased survival in pancreatic cancer with nab-paclitaxel plus gemcitabine. N. Engl. J. Med. 2013, 369, 1691–1703. [Google Scholar] [CrossRef] [Green Version]
  71. Schumacher, T.N.; Scheper, W.; Kvistborg, P. Cancer Neoantigens. Annu. Rev. Immunol. 2019, 37, 173–200. [Google Scholar] [CrossRef]
  72. Allen, E.; Jabouille, A.; Rivera, L.B.; Lodewijckx, I.; Missiaen, R.; Steri, V.; Feyen, K.; Tawney, J.; Hanahan, D.; Michael, I.P.; et al. Combined antiangiogenic and anti-PD-L1 therapy stimulates immunity through HEV formation. Sci. Transl. Med. 2017, 9, eaak9679. [Google Scholar] [CrossRef] [Green Version]
  73. Mace, T.A.; Shakya, R.; Pitarresi, J.R.; Swanson, B.; McQuinn, C.W.; Loftus, S.; Nordquist, E.; Cruz-Monserrate, Z.; Yu, L.; Young, G.; et al. IL-6 and PD-L1 antibody blockade combination therapy reduces tumour progression in murine models of pancreatic cancer. Gut 2018, 67, 320–332. [Google Scholar] [CrossRef] [Green Version]
  74. Zhang, Q.; Green, M.D.; Lang, X.; Lazarus, J.; Parsels, J.D.; Wei, S. Inhibition of ATM Increases Interferon Signaling and Sensitizes Pancreatic Cancer to Immune Checkpoint Blockade Therapy. Cancer Res. 2019, 79, 3940–3951. [Google Scholar] [CrossRef]
  75. Zhu, Y.; Knolhoff, B.L.; Meyer, M.A.; Nywening, T.M.; West, B.L.; Luo, J.; Wang-Gillam, A.; Goedegebuure, S.P.; Linehan, D.C.; DeNardo, D.G. CSF1/CSF1R blockade reprograms tumor-infiltrating macrophages and improves response to T-cell checkpoint immunotherapy in pancreatic cancer models. Cancer Res. 2014, 74, 5057–5069. [Google Scholar] [CrossRef] [Green Version]
  76. Stewart, R.A.; Pilié, P.G.; Yap, T.A. Development of PARP and Immune-Checkpoint Inhibitor Combinations. Cancer Res. 2018, 78, 6717–6725. [Google Scholar] [CrossRef] [Green Version]
  77. Keenan, B.P.; Saenger, Y.; Kafrouni, M.I.; Leubner, A.; Lauer, P.; Maitra, A.; Rucki, A.A.; Gunderson, A.J.; Coussens, L.M.; Brockstedt, D.G.; et al. A Listeria vaccine and depletion of T-regulatory cells activate immunity against early stage pancreatic intraepithelial neoplasms and prolong survival of mice. Gastroenterology 2014, 146, 1784–1794. [Google Scholar] [CrossRef] [Green Version]
  78. Jiang, H.; Hegde, S.; Knolhoff, B.L.; Zhu, Y.; Herndon, J.M.; Meyer, M.A.; Nywening, T.M.; Hawkins, W.G.; Shapiro, I.M.; Weaver, D.T.; et al. Targeting focal adhesion kinase renders pancreatic cancers responsive to checkpoint immunotherapy. Nat. Med. 2016, 22, 851–860. [Google Scholar] [CrossRef]
  79. Sanford, D.E.; Belt, B.A.; Panni, R.Z.; Mayer, A.; Deshpande, A.D.; Carpenter, D.; Mitchem, J.B.; Plambeck-Suess, S.M.; Worley, L.A.; Goetz, B.D.; et al. Inflammatory monocyte mobilization decreases patient survival in pancreatic cancer: A role for targeting the CCL2/CCR2 axis. Clin. Cancer Res. 2013, 19, 3404–3415. [Google Scholar] [CrossRef] [Green Version]
  80. Blair, A.B.; Kleponis, J.; Thomas, D.L.; Muth, S.T.; Murphy, A.G.; Kim, V.; Zheng, L. IDO1 inhibition potentiates vaccine-induced immunity against pancreatic adenocarcinoma. J. Clin. Investig. 2019, 129, 1742–1755. [Google Scholar] [CrossRef]
  81. Burrack, A.L.; Spartz, E.J.; Raynor, J.F.; Wang, I.; Olson, M.; Stromnes, I.M. Combination PD-1 and PD-L1 Blockade Promotes Durable Neoantigen-Specific T Cell-Mediated Immunity in Pancreatic Ductal Adenocarcinoma. Cell Rep. 2019, 28, 2140–2155. [Google Scholar] [CrossRef] [Green Version]
  82. Christenson, E.S.; Jaffee, E.; Azad, N.S. Current and emerging therapies for patients with advanced pancreatic ductal adenocarcinoma: A bright future. Lancet Oncol. 2020, 21, e135–e145. [Google Scholar] [CrossRef]
  83. Nollmann, F.I.; Ruess, D.A. Targeting Mutant KRAS in Pancreatic Cancer: Futile or Promising? Biomedicines 2020, 8, 281. [Google Scholar] [CrossRef]
  84. Canon, J.; Rex, K.; Saiki, A.Y.; Mohr, C.; Cooke, K.; Bagal, D.; Gaida, K.; Holt, T.; Knutson, C.G.; Koppada, N.; et al. The clinical KRAS(G12C) inhibitor AMG510 drives anti-tumour immunity. Nature 2019, 575, 217–223. [Google Scholar] [CrossRef]
  85. Hallin, J.; Engstrom, L.D.; Hargis, L.; Calinisan, A.; Aranda, R.; Briere, D.M.; Sudhakar, N.; Bowcut, V.; Baer, B.R.; Ballard, J.A.; et al. The KRASG12C Inhibitor MRTX849 Provides Insight toward Therapeutic Susceptibility of KRAS-Mutant Cancers in Mouse Models and Patients. Cancer Discov. 2020, 10, 54–71. [Google Scholar] [CrossRef] [Green Version]
  86. Hong, D.S.; Fakih, M.G.; Strickler, J.H.; Desai, J.; Durm, G.A.; Shapiro, G.I.; Falchook, G.S.; Price, T.J.; Sacher, A.; Denlinger, C.S.; et al. KRASG12C Inhibition with Sotorasib in Advanced Solid Tumors. N. Engl. J. Med. 2020, 383, 1207–1217. [Google Scholar] [CrossRef]
  87. Briere, D.; Calinisan, A.; Aranda, R.; Sudhakar, N.; Hargis, L.; Gatto, S. The KRASG12C Inhibitor MRTX849 Reconditions the Tumor Immune Microenvironment and Leads to Durable Complete Responses in Combination with Anti-PD-1 Therapy in a Syngeneic Mouse Model. Mol. Cancer Ther. 2021. [Google Scholar] [CrossRef]
  88. Tran, E.; Robbins, P.F.; Lu, Y.C.; Prickett, T.D.; Gartner, J.J.; Jia, L.; Pasetto, A.; Zheng, Z.; Ray, S.; Groh, E.M.; et al. T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer. N. Engl. J. Med. 2016, 375, 2255–2262. [Google Scholar] [CrossRef] [Green Version]
  89. Smeby, J.; Sveen, A.; Merok, M.A.; Danielsen, S.A.; Eilertsen, I.A.; Guren, M.G.; Dienstmann, R.; Nesbakken, A.; Lothe, R.A. CMS-dependent prognostic impact of KRAS and BRAFV600E mutations in primary colorectal cancer. Ann. Oncol. 2018, 29, 1227–1234. [Google Scholar] [CrossRef] [Green Version]
  90. Le, D.T.; Kim, T.W.; van Cutsem, E.; Geva, R.; Jager, D.; Hara, H.; Burge, M.; O’Neil, B.; Kavan, P.; Yoshino, T.; et al. Phase II Open-Label Study of Pembrolizumab in Treatment-Refractory, Microsatellite Instability-High/Mismatch Repair-Deficient Metastatic Colorectal Cancer: KEYNOTE-164. J. Clin. Oncol. 2020, 38, 11–19. [Google Scholar] [CrossRef]
  91. Overman, M.J.; Lonardi, S.; Wong, K.Y.M.; Lenz, H.J.; Gelsomino, F.; Aglietta, M.; Morse, M.A.; van Cutsem, E.; McDermott, R.; Hill, A.; et al. Durable Clinical Benefit with Nivolumab Plus Ipilimumab in DNA Mismatch Repair-Deficient/Microsatellite Instability-High Metastatic Colorectal Cancer. J. Clin. Oncol. 2018, 36, 773–779. [Google Scholar] [CrossRef] [PubMed]
  92. Tran, E.; Ahmadzadeh, M.; Lu, Y.C.; Gros, A.; Turcotte, S.; Robbins, P.F.; Gartner, J.J.; Zheng, Z.; Li, Y.F.; Ray, S.; et al. Immunogenicity of somatic mutations in human gastrointestinal cancers. Science 2015, 350, 1387–1390. [Google Scholar] [CrossRef] [PubMed]
  93. Yuki, S.; Bando, H.; Tsukada, Y.; Inamori, K.; Komatsu, Y.; Homma, S.; Uemura, M.; Kato, T.; Kotani, D.; Fukuoka, S.; et al. Short-term results of VOLTAGE-A: Nivolumab monotherapy and subsequent radical surgery following preoperative chemoradiotherapy in patients with microsatellite stable and microsatellite instability-high locally advanced rectal cancer. J. Clin. Oncol. 2020, 38, 4100. [Google Scholar] [CrossRef]
  94. Ghiringhelli, F.; Chibaudel, B.; Taieb, J.; Bennouna, J.; Martin-Babau, J.; Fonck, M.; Borg, C.; Cohen, R.; Thibaudin, M.; Limagne, E.; et al. Durvalumab and tremelimumab in combination with FOLFOX in patients with RAS-mutated, microsatellite-stable, previously untreated metastatic colorectal cancer (mCRC): Results of the first intermediate analysis of the phase Ib/II MEDETREME trial. J. Clin. Oncol. 2020, 38, 3006. [Google Scholar] [CrossRef]
  95. Fukuoka, S.; Hara, H.; Takahashi, N.; Kojima, T.; Kawazoe, A.; Asayama, M.; Yoshii, T.; Kotani, D.; Tamura, H.; Mikamoto, Y.; et al. Regorafenib Plus Nivolumab in Patients with Advanced Gastric or Colorectal Cancer: An Open-Label, Dose-Escalation, and Dose-Expansion Phase Ib Trial (REGONIVO, EPOC1603). J. Clin. Oncol. 2020, 38, 2053–2061. [Google Scholar] [CrossRef]
Figure 1. The note chart of KRAS mutation-induced growth and immunosuppression in PDAC tumors. The KRAS mutation causes a suppressive milieu in PDAC tumors mainly via the following routes, such as activation of mitogen-activated protein kinase (MAPK) and phosphatidylinositol 3-kinase (PI3K)-Akt, activation of YAP-TAZ and JAK-STAT3, and induction of cell autophagy and metabolic reprogramming in PDAC cells. In this context, the survival and proliferation of PDAC cells will be accelerated, and an overgrowth of tumor cells can cause a hypoxia within the tumor, which then activates hypoxia-induced factor 1 (HIF-1)α to upregulate the expression of gene encoding vascular endothelial growth factor (VEGF) by PDAC cells. VEGF is a potent cytokine that induces angiogenesis and immune evasion (e.g., programmed death ligand 1 (PD-L1) upregulation and tumoricidal T cell exhaustion). Meanwhile, PDAC cells can increase their production of suppressive cytokines and chemokines, such as interleukin 4 (IL-4), IL-6, IL-13, macrophage-colony stimulating factor 1 (CSF-1) and monocyte chemotactic protein 1 (MCP-1), which then recruit and increase the survival and suppressive function of immune infiltrates including cancer-associated fibroblasts (CAFs), MDSCs, M2-like tumor-associated macrophages (TAMs), indoleamine 2, 3-dioxygenase (IDO)-producing dendritic cells (DCs) and regulatory T cells (Treg cells). In this context, an overload of suppressive cells will increase the local levels of suppressive cytokines and chemokines, such as transforming growth factor-beta (TGF-β), IDO, IL-10, granulocyte-macrophage colony stimulating factor (GM-CSF), chemokine C-X-C motif ligand 1 (CXCL1), CXCL8, CXCL12 and CXCL13, thus strengthening the immunosuppression in the tumor (e.g., tumoricidal T cell exclusion). In concert with the KRAS mutation, other alterations at genetic and molecular levels, such as liver kinase B1 gene (LKB1) inactivation, TP53 inactivation, phosphatase and tensin homolog gene (PTEN) inactivation, focal adhesion kinase (FAK) activation, phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) activation or Wingless/Integrated (WNT) activation, also contribute to the tumor growth (e.g., PDAC cell survival, proliferation and invasion) and immune evasion (PD-L1 upregulation).
Figure 1. The note chart of KRAS mutation-induced growth and immunosuppression in PDAC tumors. The KRAS mutation causes a suppressive milieu in PDAC tumors mainly via the following routes, such as activation of mitogen-activated protein kinase (MAPK) and phosphatidylinositol 3-kinase (PI3K)-Akt, activation of YAP-TAZ and JAK-STAT3, and induction of cell autophagy and metabolic reprogramming in PDAC cells. In this context, the survival and proliferation of PDAC cells will be accelerated, and an overgrowth of tumor cells can cause a hypoxia within the tumor, which then activates hypoxia-induced factor 1 (HIF-1)α to upregulate the expression of gene encoding vascular endothelial growth factor (VEGF) by PDAC cells. VEGF is a potent cytokine that induces angiogenesis and immune evasion (e.g., programmed death ligand 1 (PD-L1) upregulation and tumoricidal T cell exhaustion). Meanwhile, PDAC cells can increase their production of suppressive cytokines and chemokines, such as interleukin 4 (IL-4), IL-6, IL-13, macrophage-colony stimulating factor 1 (CSF-1) and monocyte chemotactic protein 1 (MCP-1), which then recruit and increase the survival and suppressive function of immune infiltrates including cancer-associated fibroblasts (CAFs), MDSCs, M2-like tumor-associated macrophages (TAMs), indoleamine 2, 3-dioxygenase (IDO)-producing dendritic cells (DCs) and regulatory T cells (Treg cells). In this context, an overload of suppressive cells will increase the local levels of suppressive cytokines and chemokines, such as transforming growth factor-beta (TGF-β), IDO, IL-10, granulocyte-macrophage colony stimulating factor (GM-CSF), chemokine C-X-C motif ligand 1 (CXCL1), CXCL8, CXCL12 and CXCL13, thus strengthening the immunosuppression in the tumor (e.g., tumoricidal T cell exclusion). In concert with the KRAS mutation, other alterations at genetic and molecular levels, such as liver kinase B1 gene (LKB1) inactivation, TP53 inactivation, phosphatase and tensin homolog gene (PTEN) inactivation, focal adhesion kinase (FAK) activation, phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) activation or Wingless/Integrated (WNT) activation, also contribute to the tumor growth (e.g., PDAC cell survival, proliferation and invasion) and immune evasion (PD-L1 upregulation).
Cancers 13 02429 g001
Table 1. The comparison of immune-related characteristics among KRAS-mutant adenocarcinomas.
Table 1. The comparison of immune-related characteristics among KRAS-mutant adenocarcinomas.
Characters [Ref.]
Prevalence of KRAS mutation97.7% [9]44.7% [9]30.9% [9]
Hottest missense mutation in KRASG12D [9]G12D [9]G12C [9]
Sensitive to glucose restriction vs. KRASwtYes [19]Yes [20]No [21]
Common alteration with KRASTP53 inactivation [10]TP53 and APC inactivation [22]TP53 or LKB1 inactivation [23]
General milieu of KRAS-mutant tumorsImmune-cold [7]Immune-cold [24]KRAS-only: immune-cold or hot [23]
TP53 inactivation: immune-hot [23]
LKB1 inactivation: immune-cold [23]
Number/function of tumoricidal T cells in KRAS-mutant tumorsDecrease/Decrease [7]Decrease/Decrease [24]KRAS-only: slight increase/decrease [23]
TP53 inactivation: significant increase/decrease [23]
LKB1 inactivation: significant decrease/decrease [23]
Major type of immune infiltrates in KRAS-mutant tumorsMyeloid suppressive cell [7]Myeloid suppressive cell [24]KRAS-only: T cell, macrophage, neutrophil [23]
TP53 inactivation: CD8+ T cell, CD45RO+ T cell [23]
LKB1 inactivation: myeloid suppressive cell [23]
Common presentation of the ICB therapy biomarker if KRAS mutationpMMR/MSS [25]pMMR/MSS [26]KRAS-only: PD-L1 expression ↑ [23]
TP53 inactivation: PD-L1 expression ↑↑ [23]
LKB1 inactivation: PD-L1 expression ↓↓ [23]
Biomarker associated with the effectiveness of ICB therapydMMR/MSI-H [4]dMMR/MSI-H [27]PD-L1 [23]
Prevalence of dMMR/MSI-H in all cases1~2% [25]14% [26]NM
Prevalence of positive expression of PD-L1 by tumor cellsNMNMAmong KRAS-only tumors: 37.5% [23]
Among TP53 inactivation tumors: 68.8% [23]
Among LKB1 inactivation tumors: 10% [23]
General response to monotherapy using ICB drugsPoor [5]Poor [28]KRAS-only tumor: Fair [23]
TP53 inactivation tumor: Excellent [23]
LKB1 inactivation tumor: Poor [23]
Core molecular events associated with KRAS mutation-induced immunosuppression1. YAP-TAZ activation [12];
2. JAK-STAT3 activation [12];
3. Metabolic reprogramming of glucose and cell autophagy [13,14];
4. In concert with other events, TP53 inactivation [15], LKB1 mutation [29,30], PTEN loss [29,30], WNT/β-catenin activation [29,30], FAK activation [29,30], PIK3CA activation [29,30] and MYC activation [29,30];
1. In concert with APC and TP53 inactivation: TGF-β1 upregulation and EMT [31];
2. TGF-β-induced immune suppression [32];
3. IRF2 inactivation [24,33];
4. Metabolic dysregulation in glucose, glutamine, fatty acid and lipid [26,34];
5. MAPK and HIF-1-related cascade activation [34];
1. ERK activation-induced PD-L1 upregulation [23]
2. Metabolic reprogramming of glucose [21]
3. In concert with LKB1 inactivation: strengthening metabolic reprogramming of glucose and JAK-STAT3 activation [23]
PDAC: pancreatic ductal adenocarcinoma; CRAC: colorectal adenocarcinoma; EMT: epithelial-mesenchymal transition; LUAC: lung adenocarcinoma; APC: adenomatous polyposis coli protein; pMMR: proficient mismatch repair; MAPK: mitogen-activated protein kinase; MSS: microsatellite stability; dMMR: deficient mismatch repair; MSI-H: high microsatellite instability; ICB: immune checkpoint blockade; NM: no mention; PD-L1: programmed death-ligand 1; TP53: tumor protein P53 gene; LKB1: liver kinase B1 gene.
Table 2. The effectiveness of ICB therapy on PDAC.
Table 2. The effectiveness of ICB therapy on PDAC.
Author [Ref.]YearPhasePatient No.ICB DrugOther TreatmentORR
• First-line therapy
Aglietta M, et al. [62]2014I34TremelimumabGemcitabine10.5%
Wainberg ZA, et al. [63]2019I50NivolumabGemcitabine + Nab- paclitaxel18%
Wainberg ZA, et al. [64]2017I17NivolumabGemcitabine + Nab- paclitaxel50%
Renouf, et al. [65]2018II11Durvalumab + TremelimumabGemcitabine + Nab-paclitaxel73%
Borazanci, et al. [66]2018II11NivolumabGemcitabine + Nab-paclitaxel + Cisplatin + Paricalcitol80%
• Second- or later-line therapy
Luke JJ, et al. [57]2018I3PembrolizumabSBRT: 30–50 Gy for 2–4 metastatic lesionsNR
O’Reilly EM, et al. [56]2019IIArm A: 32
Arm B: 32
Durvalumab + Tremelimumab
Xie C, et al. [58]2020IArm A1: 14
Arm A2: 10
Arm B1: 19
Arm B2: 16
Durvalumab + Tremelimumab
Durvalumab + Tremelimumab
SBRT: 8 Gy/1 fraction
SBRT: 25 Gy/5 fractions
SBRT: 8 Gy/1 fraction
SBRT: 25 Gy/5 fractions
5.1% A
Weiss GJ, et al. [60]2017I11PembrolizumabGemcitabine (Gem)-based chemotherapy18.2%
Kamath SD, et al. [61]2020I21 BArm A: Ipilimumab 3 mg/kg
Arm B: Ipilimumab 3 mg/kg
Arm C: Ipilimumab 6 mg/kg
Gem 750 mg/m2
Gem 1g/m2
Gem 1g/m2
14% C
Abbreviation: PDAC: pancreatic ductal adenocarcinoma; ORR: objective response rate; SBRT: A: The total ORR of four arms; B: 67% of them received at least one line of chemotherapy; C: The total ORR of three arms.
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Gu, M.; Gao, Y.; Chang, P. KRAS Mutation Dictates the Cancer Immune Environment in Pancreatic Ductal Adenocarcinoma and Other Adenocarcinomas. Cancers 2021, 13, 2429.

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Gu M, Gao Y, Chang P. KRAS Mutation Dictates the Cancer Immune Environment in Pancreatic Ductal Adenocarcinoma and Other Adenocarcinomas. Cancers. 2021; 13(10):2429.

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Gu, Meichen, Yanli Gao, and Pengyu Chang. 2021. "KRAS Mutation Dictates the Cancer Immune Environment in Pancreatic Ductal Adenocarcinoma and Other Adenocarcinomas" Cancers 13, no. 10: 2429.

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