- Open Access
Tumor-induced myeloid-derived suppressor cells promote tumor progression through oxidative metabolism in human colorectal cancer
Journal of Translational Medicine volume 13, Article number: 47 (2015)
Expansions of myeloid-derived suppressor cells (MDSCs) have been identified in human solid tumors, including colorectal cancer (CRC). However, the nature of these tumor-associated MDSCs and their interactions with tumor cells in CRC are still poorly understood.
The percentages and phenotype of MDSCs in peripheral blood and tumorous and paraneoplastic tissues from CRC patients, as well as the clinical relevance of these MDSCs, were assessed. Age-matched healthy donors were included as controls. The interaction between MDSCs and T cells or tumor cells was investigated in a coculture system in vitro, and the molecular mechanism of the effect of MDSCs on T cells or tumor cells was evaluated.
We discovered that CRC patients had elevated levels of CD33+CD11b+HLA-DR− MDSCs in primary tumor tissues and in peripheral blood, and the elevated circulating MDSCs were correlated with advanced TNM stages and lymph node metastases. Radical resection significantly decreases the proportions of circulating MDSCs and CD4+CD25highFOXP3+ regulatory T cells. In vitro, CRC cells mediate the promotion of MDSC induction. Moreover, these tumor-induced MDSCs could suppress T cell proliferation and promote CRC cell growth via cell-to-cell contact. Such effects could be abolished by the inhibition of oxidative metabolism, including the production of nitric oxide (NO), and reactive oxygen species (ROS).
Our results reveal the functional interdependence between MDSCs, T cells and cancer cells in CRC pathogenesis. Understanding the impact of MDSCs on T cells and tumor cells will be helpful to establish an immunotherapeutic strategy in CRC patients.
Colorectal cancer (CRC) is the fourth most commonly diagnosed cancer worldwide and is a major cause of cancer-related deaths [1,2]. Numerous studies have demonstrated a link between chronic inflammation and different cancers, including CRC. The intestinal mucosa is normally maintained in a state of controlled inflammation in which there is equilibrium between protective immunity and tolerance to self-antigens and commensal bacteria [3,4]. An imbalance in the immune tumor microenvironment is one risk factor for CRC, and the presence of tumor-infiltrating lymphocytes (TILs) could predict the clinical outcomes of patients with CRC [5-7]. Accumulating evidence indicates that subsets of immune cells, including cytotoxic T cells (CTLs), natural killer (NK) cells, and regulatory T cells (Tregs), play important roles in the progression of CRC and are associated with tumor invasiveness, clinical stage, and patient survival [8-10].
Recent studies suggested that myeloid-derived suppressor cells (MDSCs) play important roles in cancer patients. MDSCs are an immature population of myeloid cells that are present in the majority of cancer patients . MDSCs usually include two major subpopulations: monocytic MDSCs (M-MDSCs) and granulocytic MDSCs (G-MDSCs) [12,13]. In humans, MDSCs constitute a heterogeneous cell population that is not well characterized, partially because no unified markers are currently available for these cells. However, these cells typically express the common myeloid markers CD33 and CD11b but lack markers of mature myeloid cells, such as HLA-DR. Among human MDSCs, the monocytic subset comprises CD14+ cells, and the granulocytic subset comprises CD14−CD15+ cells .
A number of studies have shown that MDSCs are correlated with the development of malignancies. Increased numbers of MDSCs have been observed in various solid and hematologic malignancies, and elevated MDSCs are associated with cancer progression and tumor-induced immune dysfunction [13,15-19]. MDSCs could inhibit anti-tumor immunity by suppressing T cell and NK cell functions [20,21], likely by increasing the production of arginine, reactive oxygen species (ROS), and nitric oxide (NO) and by inducing Treg cells and TGF-β secretion to mediate T cell suppression [19,22-24]. In addition to suppressing anti-tumor immunity, the direct interaction between MDSCs and tumor cells has been explored in recent years . However, the specific signals triggering the accumulation of MDSCs in cancer patients remain unidentified, and the mechanism of the tumor-induced MDSC function in CRC is not yet well defined.
In this study, we examined the correlation between MDSCs and tumor progression in CRC patients and during routine treatment. We also studied how MDSCs interact with T cells and CRC cells in vitro.
Materials and methods
Samples and cell lines
Peripheral blood was collected from 32 age-matched healthy donors and 42 patients with CRC at the time of first diagnosis at Sun Yat-Sen University Cancer Center, Guangzhou, China, from March 2013 to June 2013; these patients did not receive any pre-operative chemoradiotherapy. The clinical details of the patients are provided in Additional file 1: Table S1. Peripheral blood was collected from 26 of the 42 patients who did not show any signs of infection, inflammation, or other complications before or after tumor curative resection one week after the operation. Fresh tumor and paraneoplastic tissues were obtained from 19 of the patients. All the tumor tissue samples were removed by surgical resection; three were collected by palliative resection, and 16 were collected by curative resection. All of the patients and healthy donors provided written informed consent before being subjected to blood sampling and/or tumor harvesting. This study was approved by the Research Ethics Committee of the Sun Yat-Sen University Cancer Center.
Peripheral blood mononuclear cells (PBMCs) were isolated via Ficoll-Hypaque gradient centrifugation to measure the proportion and phenotype of MDSCs. Fresh tumor and paracancerous tissues were cut into pieces; one piece was frozen at −80°C for subsequent qRT-PCR or immunochemical staining, and the other piece was enzymatically digested with type IV collagenase for 2 hours at 37°C in a water bath oscillator. Bulk cells from tissues were cultured in complete RPMI 1640 medium (Gibco, Life Technologies, USA) supplemented with heat-treated 10% fetal bovine serum (FBS, exCell Biology, South America) without IL-2 overnight to obtain a sufficient number of cells for FACS analysis.
The human SW480 and SW620 colorectal cancer cell lines were maintained in our laboratory and cultured in RPMI 1640 supplemented with 10% FBS and gentamicin sulfate (Guangdong Succhi Shiqi Pharmaceutical, China).
Antibodies and fluorescence-activated cell sorting (FACS) analysis
Human monoclonal antibodies against HLA-DR, CD4, CD33, CD11b, CD45, CD8, CD25, CD3, CD16, FOXP3, CD14, CD15, CD39, CD73, CD117, CD66b, CXCR4, CD34, arginase1 (ARG1), iNOS and PD-L1 conjugated with different fluorescent dyes were purchased from BD Pharmingen (San Jose, CA, USA) or eBioscience (San Diego, CA, USA). The oxidation-sensitive dye CM-H2DCFDA was purchased from Invitrogen (Grand Island, NY).
The expression of markers on the MDSCs and tumor cells was investigated using FACS analysis after surface staining or intracellular staining with human-specific Abs conjugated with different fluorescent dyes. The MDSC phenotype analysis involved gating within the HLA-DR− cell population that expressed both the CD33 and CD11b antigens. Intracellular staining to detect Foxp3 was performed on T cells from PBMCs, tumorous tissues, and paracancerous tissues. After washing, the cells were stained with anti-CD4, fixed, permeabilized with Perm/Fix solution (eBioscience), and stained intracellularly with anti-Foxp3. The cells showing positive staining were detected using the Cytomics FC 500 MPL flow cytometry system (Beckman Coulter) and analyzed with CXP software (Beckman Coulter, Inc. Fullerton, CA, USA).
Induction of MDSCs and functional analysis of tumor-induced MDSCs in vitro
CD33+ cells were separated from healthy PBMCs using human CD33 MicroBeads (Miltenyi Biotec, Bergisch Gladbach, Germany) according to the manufacturer’s instructions. Isolated CD33+ cells were co-cultured with SW480 or SW620 cells in 24-well plates in a Transwell System at a ratio of 1:5 for 48 h. CD33+ cells cultured in medium alone were included as a control. A panel of harvested cells was used to analyze the MDSC markers using FACS, and the remaining cells were subjected to the proliferation assay. In brief, PBMCs from healthy donors were labeled with CFSE (5 μM) and added in different ratios to the induced MDSCs in OKT3-coated 96-well plates. The cells were cultured for 3 days. The experiments included a panel of samples treated with NG-Monomethyl-L-arginine (1 mM/mL), L-NG-Monomethylarginine (L-NMMA, 100 μm/mL), or N-acetylcysteine (NAC 1 mM/mL, Sigma, Saint Louis, MO, USA), which lead to arginine starvation and inhibition of the generation of NO and ROS, or with human TGF-β neutralizing antibody (10 μg/mL; R&D Systems, Minneapolis, MN, USA) [26,27]. These samples were analyzed using FACS.
The proliferation of SW480 cells with co-cultured tumor-induced MDSCs was assessed by counting the cells from day 1 to day 5 directly, in a Transwell System, or alone in medium. This experiment included a panel of samples treated with supplementary L-arginine, L-NMMA, and NAC.
Semi-quantitative RT-PCR (qRT-PCR)
Total RNA from cells or from frozen tumorous and paracancerous tissues was extracted using the TRIzol reagent (Invitrogen, USA) according to the manufacturer’s instructions. RT-PCR was performed with the RevertAid First-Strand cDNA Synthesis kit (Thermo Scientific, Lithuania) using Premix Taq™ (TaKaRa Taq™ Version 2.0 plus dye). The primer sequences are given in Additional file 1: Table S2. The obtained PCR products were examined via agarose gel electrophoresis. All of the tests were repeated at least 5 times, and GAPDH mRNA was used as a control.
All of the in vitro experiments were performed in triplicate and were repeated at least three times. Representative experiments are shown in the figures. The statistical analysis was performed with SPSS 13.0 software (SPSS, Chicago, IL, USA). Numerical data are shown as means ± standard error of the mean (SEM). Comparisons between two groups were tested using Student’s t test, and the association of the density of MDSCs with the clinical pathologic features was examined using a Pearson χ 2 test and Fisher's exact test. In all of the analyses, the threshold for significance was P < 0.05.
Results and discussion
MDSCs are expanded in CRC patients
Base on previous reports [28-30], in the current study, we investigated the proportion and distribution of MDSCs immunophenotyped as CD33+CD11b+ HLA-DR− cells in CRC patients (n = 42) and compared this with those of healthy donors (n = 32). The proportion of MDSCs in peripheral blood from pre-treated CRC patients was significantly increased compared with the proportion from healthy donors (P < 0.05). To explore the distribution of MDSCs in CRC patients, we further assessed the proportion of MDSCs in the tumorous tissues and tumor-adjacent tissues from 19 paired CRC patients. The proportion of MDSCs was higher in the tumorous tissues compared with tumor-adjacent tissues (P < 0.05), as shown in Figure 1.
We examined the expression levels of phenotypic markers in this CD33+CD11b+HLA-DR− MDSC population from CRC patients, including the levels of CD14, CD15, CD66b, CD117, CD73, CD39 CD34, CXCR4, iNOS, ARG-1, PD-L1 and ROS (Figure 2). The MDSC population expressed high levels of the monocytic marker CD14, the chemokine receptor CXCR4, and the ectonucleoside triphosphate diphosphohydrolase 1 (ENTPD1) CD39, was well as immune mediators including ARG-1, iNOS, ROS and the suppressive immune checkpoint molecule PD-L1 but did not express the ecto-5'-nucleotidase CD73; these molecules are involved in the degradation of immunostimulatory ATP into immunosuppressive adenosine. The MDSC population expressed moderate levels of the granulocyte-monocyte progenitor cell markers CD117, CD34, and CD66b and expressed a weak level of the granulocytic marker CD15. The MDSCs from the peripheral blood and tumorous tissue of CRC patients exhibited similar phenotypic characteristics.
Elevated circulating MDSCs are associated with advanced disease stage in CRC patients
To investigate the clinical relevance of MDSCs in CRC patients, we determined the correlations between the proportion of MDSCs among PBMCs and the clinical characteristics of the CRC patients, including age, gender, TNM stage, tumor size, lymph node metastasis, histological grade, venous invasion and serum CEA level (Table 1). An increased proportion of MDSCs among PBMCs was associated with an advanced TNM stage and with lymph node metastases (P = 0.020 and 0.008, respectively), whereas no correlation between the proportion of MDSCs in PBMCs and the other clinical characteristics, including tumor size, histological, and serum CEA level, of patients were found.
Tumor resection reduces the circulating MDSCs and Tregs in CRC patients
Surgery remains the main treatment option for CRC patients. However, the effect of surgery on the host immune status has not been well studied. To illustrate the effects of surgery on immune cell subsets, including MDSC, Treg, CTL, and NK cells, in the lymphatic systems of patients with CRC, we analyzed variations in the MDSC, Treg, CTL, and NK cell populations in 26 patients with CRC before and after tumor resection. The proportions of CD33+CD11b+HLA-DR− MDSCs and CD4+CD25+Foxp3+ Tregs among the PBMCs were significantly reduced in the CRC patients after the operation (P = 0.0001 and P = 0.0012, respectively), whereas no significant differences in the proportions of CD3+CD8+ CTL or CD3−CD16+ NK cells among the PBMCs were found before versus after tumor resection (Figure 3).
CRC cells promote the induction of MDSC in vitro
Many studies have suggested that cytokines and other factors secreted by tumor cells can induce the generation of MDSCs. In agreement with this notion, high expression levels of VEGF, G-CSF, IL-6, CD73, iNOS, IDO, and COX-2 were observed in some tumor tissues and SW480 cells by semi-quantitative RT-PCR. In SW620 cells, the increase in the expression of genes was less significant, with only VEGF and COX-2 highly expressed. No expression of ARG-1 was detected in tumor or paraneoplastic tissues from patients or in SW480 or SW620 cells, and no expression of IDO was detected in SW480 or SW620 cells. Interestingly, iNOS expression was only found in tumor tissue from one patient (1/5) and in SW480 cells (Figure 4A).
Furthermore, we induced the generation of MDSCs from CD33+ PBMCs by culturing them with SW480 or SW620 cells in a Transwell System for 48 hours. The proportion of CD33+CD11b+HLA-DR− MDSCs among the CD33+ PBMCs was significantly higher when CD33+ PBMCs were co-cultured with SW480 or SW620 cells in a Transwell System compared with CD33+ cells cultured in medium alone (Figure 4B). These CRC tumor-induced MDSCs were mononuclear or polymorphonuclear cells, as shown in Figure 4C by Wright-Giemsa staining. The CRC tumor-induced MDSCs exhibited high levels of CD14, CD66b, CD39, CXCR4, CD117, CD34, ARG1, INOS, ROS and PD-L1 expression but lacked CD15 and CD73 expression, similar to the MDSC phenotype observed in CRC patients (Figure 4D) Thus, CRC cells may promote the expansion of MSDCs in vivo. In addition, the CRC tumor-induced MDSCs expressed higher levels of immune inhibitory molecules, including TGF-β, IDO, IL-10, iNOS, NOX2, and Arg-1, and no IFN-γ expression compared with the CD33+ PBMCs cultured in medium alone (Figure 4E).
Tumor-induced MDSCs suppress the proliferation of T cells and promote the growth of CRC cell lines
To investigate the function of these CRC tumor-induced MDSCs, we first analyzed the immunosuppressive function of the MDSCs on T cell proliferation in a co-culture system. In SW480 or SW620 cells, the tumor-induced MDSCs suppressed the proliferation of PBMCs more strongly than CD33+ cells cultured in medium alone; this suppression affected both CD4+ and CD8+ T cells (Figure 5A-C). In addition to their immunosuppressive function, these tumor-induced MDSCs promoted the growth of SW480 and SW620 cells in a coculture system in vitro, as shown in Figure 5D.
The function of tumor-induced MDSCs is mainly dependent on cell-to-cell contact and oxidative metabolism
We further investigated the molecular mechanisms of the function of these CRC tumor-induced MDSCs on T cells and tumor cells. For T cells, because the highly expressed inhibitory molecules on the MDSCs (Figure 4E) are linked to the suppression of T cell proliferation [31,32], we neutralized these inhibitory molecules by adding supplementary L-arginine, LNMMA, NAC and a neutralizing TGF-β antibody to the co-culture system. Supplementary L-arginine, LNMMA and NAC, which are inhibitors for iNOS and ROS, respectively, significantly reduced the immunosuppressive function of the CRC tumor-induced MDSCs (P < 0.05). However, neutralizing TGF-β antibody only slightly rescued the inhibition of CD4+ and CD8+ T cells by these tumor-induced MDSCs. In addition, the inhibition of CD4+ and CD8+ T cells by these tumor-induced MDSCs was reversed when a Transwell insert was used in the co-culture system of T cells and MDSCs, indicating that the immunosuppressive function of MDSCs was dependent on a cell-to-cell contact manner and oxidative metabolism which is in line with previous reports (Figure 6A) [14,33]. Moreover, the CRC tumor-induced MDSCs did not induce Treg cell expansion in vitro (Figure 6B). For tumor cells, we observed that the promotion of tumor growth induced by MDSCs was inhibited when the CRC cell lines SW480 and SW620 were co-cultured with tumor-induced MDSCs in a Transwell System (Figure 6C), indicating that the promotion of tumor cell growth by MDSCs is dependent on cell-to-cell contact. Next, we observed that the specific inhibitors LNMMA and NAC for iNOS and ROS, respectively, significantly reduced the promoting effect of CRC tumor-induced MDSCs on the growth of SW480 and SW620 cells (P < 0.05, Figure 6D).
The current studies examined the distribution and phenotypic markers of MDSCs in human CRC patients and how MDSCs interact with other cell populations in the CRC microenvironment, including cancer cells, cytotoxic T cells, and Treg cells. As with other human cancers, including breast cancer, gastric cancers, and murine cancers [34-36], we observed an expansion of MDSCs among PBMCs and tumorous tissues from patients with CRC. The increased circulating MDSC population correlated with advanced disease stages and tumor lymph node metastases in CRC patients. MDSCs typically express immature myeloid cell (iMC) markers, including CD34, CD33, the macrophage/DC marker CD11b, and IL4Rα (CD124); however, MDSCs typically do not express the lineage (Lin) markers of DCs or other mature myeloid cells [10,12]. Typically, the CD33+Lin−HLA-DR-/low cells represent a general expanded MDSC subset in human cancers . Here, our data suggest that the majority of the CD33+CD11b+ HLA-DR− MDSCs observed in CRC consisted of a monocytic MDSC subset (CD14+CD15−CD33+CD11b+HLA-DR−) and an atypical granulocytic MDSC subset. These MDSCs express common human immature granulocyte-monocyte progenitor cell markers, including CD66b; CD117; CD34; the chemokine receptor CXCR4; CD39, an enzyme involved in the production of immunosuppressive adenosine; the immune mediators Arg-1, iNOS and ROS and the suppressive immune checkpoint molecule PD-L1; there was no expression of CD73. This finding contrasted with the phenotypic characteristics of MDSCs observed in other cancers, such as breast cancer , indicating that MDSCs are heterogeneous in different cancers. The analogous phenotypic characteristics of the MDSCs in peripheral blood and tumorous tissues from CRC patients and the high expression of CXCR4 on MDSCs indicated that the accumulation of MDSCs in tumorous tissues might be because of recruitment from the peripheral blood to tumors and aggregation in situ. A recent study discovered that CXCR2-expressing MDSCs could be tracked from the peripheral blood to the colonic mucosa according to their CXCR2 ligands, and these MDSCs were found to promote colitis-associated tumorigenesis in a mouse model of colitis-associated cancer. Additionally, the CXCL12-CXCR4 pathway triggered the accumulation of MDSCs to ovarian cancer ascites [23,38].
Correlations between the tumor burden and immune cells have been explored in cancer patients [39,40]. In the current study, we observed that the percentages of circulating MDSCs and Tregs were significantly decreased in patients after undergoing resection, whereas the percentages of CTL and NK cells were unchanged, indicating that immunosuppression is weakened by decreasing the MDSC and Treg cell populations in the CRC patients after reducing the tumor burden.
The direct interaction between MDSCs and tumor cells has been studied extensively, including in CRC [41,42]. In accordance with previous studies [41,43], high levels of VEGF, G-CSF, IL-6, CD73, iNOS, and COX-2 were observed in the tumorous tissues from CRC patients and in SW480 cells. Furthermore, in an in vitro experimental system, the CRC cell lines SW480 and SW620 could induce CD33+CD11b+HLA-DR− MDSCs from CD33+ PBMCs. These tumor-induced MDSCs express high levels of immune inhibitory molecules, including TGF-β, IDO, IL-10, Arg-1, iNOS and NOX2, and could strongly suppress the proliferation of OKT3-stimulated CD4+ and CD8+ T cells. These data indicate that the CRC cells induce functional MDSCs in vitro, which is in agreement with previous reports for other types of cancer cells [17,44]. These tumor-induced MDSCs suppressed the proliferation of T cells and promoted the growth of SW480 and SW620 cells in a co-culture system in vitro, indicating that the mutual interaction of MDSCs with tumor cells as well as the interaction of MDSCs with T cells contributed to tumor development and disease progression in CRC. The promotion of tumor cell growth by MDSCs was recently reported in multiple myeloma . Our data demonstrated for the first time that the promotion of tumor cell growth by MDSCs is dependent on a cell-to-cell contact mechanism in a Transwell System in vitro. Using neutralizing molecules, our data suggested that CRC tumor-induced MDSCs inhibited T cell proliferation and promoted CRC cell growth through oxidative metabolism, including the generation of NO and ROS, but not through TGF-β signaling or inducible Treg cells. Overall, these observations indicated that MDSCs promoted tumor cell growth through a direct interaction with tumor cells and the suppression of T cell anti-tumor immunity.
The present study for the first time identifies a functional dependence between MDSCs, T cells and tumor cells in CRC: tumor cells induce the expansion of MDSCs via multiple inflammatory factors, and then these tumor-derived MDSCs suppress T cell proliferation and promote tumor cell growth through oxidative metabolism. Understanding the interactions between tumor cells and MDSCs may aid in the development of novel therapeutic approaches for CRC patients.
Myeloid-derived suppressor cells
Reactive oxygen species
Cytotoxic T cells
Natural killer cells
Regulatory T cells
Fluorescence-activated cell sorting
5-(and-6)-chloromethyl-2,7-dichlorodihydrofluorescein diacetate, acetyl ester
5,6 carboxyfluorescein diacetate, succinimidyl ester
Ectonucleoside triphosphate diphosphohydrolase 1
Immature myeloid cell
Nottage K, McFarlane J, Krasin MJ, Li C, Srivastava D, Robison LL, et al. Secondary colorectal carcinoma after childhood cancer. J Clin Oncol. 2012;30:2552–8.
Lafata JE, Williams LK, Ben-Menachem T, Moon C, Divine G. Colorectal carcinoma screening procedure use among primary care patients. Cancer. 2005;104:1356–61.
Kraus S, Arber N. Inflammation and colorectal cancer. Curr Opin Pharmacol. 2009;9:405–10.
Wang S, Liu Z, Wang L, Zhang X. NF-kappaB signaling pathway, inflammation and colorectal cancer. Cell Mol Immunol. 2009;6:327–34.
Sherwood AM, Emerson RO, Scherer D, Habermann N, Buck K, Staffa J, et al. Tumor-infiltrating lymphocytes in colorectal tumors display a diversity of T cell receptor sequences that differ from the T cells in adjacent mucosal tissue. Cancer Immunol Immunother. 2013;62:1453–61.
Whiteside TL. Immune responses to cancer: are they potential biomarkers of prognosis? Front Oncol. 2013;3:107.
Halama N, Michel S, Kloor M, Zoernig I, Benner A, Spille A, et al. Localization and density of immune cells in the invasive margin of human colorectal cancer liver metastases are prognostic for response to chemotherapy. Cancer Res. 2011;71:5670–7.
Baker K, Zlobec I, Tornillo L, Terracciano L, Jass JR, Lugli A. Differential significance of tumour infiltrating lymphocytes in sporadic mismatch repair deficient versus proficient colorectal cancers: a potential role for dysregulation of the transforming growth factor-beta pathway. Eur J Cancer. 2007;43:624–31.
Hadrup S, Donia M, Thor Straten P. Effector CD4 and CD8 T cells and their role in the tumor microenvironment. Cancer Microenviron. 2013;6:123–33.
Tougeron D, Maby P, Elie N, Fauquembergue E, Le Pessot F, Cornic M, et al. Regulatory T lymphocytes are associated with less aggressive histologic features in microsatellite-unstable colorectal cancers. PLoS One. 2013;8:e61001.
Baniyash M, Sade-Feldman M, Kanterman J. Chronic inflammation and cancer: suppressing the suppressors. Cancer Immunol Immunother. 2014;63:11–20.
Sawant A, Ponnazhagan S. Myeloid-derived suppressor cells as osteoclast progenitors: a novel target for controlling osteolytic bone metastasis. Cancer Res. 2013;73:4606–10.
Husain Z, Huang Y, Seth P, Sukhatme VP. Tumor-derived lactate modifies antitumor immune response: effect on myeloid-derived suppressor cells and NK cells. J Immunol. 2013;191:1486–95.
Qin A, Cai W, Pan T, Wu K, Yang Q, Wang N, et al. Expansion of monocytic myeloid-derived suppressor cells dampens T cell function in HIV-1-seropositive individuals. J Virol. 2013;87:1477–90.
Tan YG, Zhang YF, Guo CJ, Yang M, Chen MY. Screening of differentially expressed microRNA in ulcerative colitis related colorectal cancer. Asian Pac J Trop Med. 2013;6:972–6.
Kapanadze T, Gamrekelashvili J, Ma C, Chan C, Zhao F, Hewitt S, et al. Regulation of accumulation and function of myeloid derived suppressor cells in different murine models of hepatocellular carcinoma. J Hepatol. 2013;59:1007–13.
Mace TA, Ameen Z, Collins A, Wojcik S, Mair M, Young GS, et al. Pancreatic cancer-associated stellate cells promote differentiation of myeloid-derived suppressor cells in a STAT3-dependent manner. Cancer Res. 2013;73:3007–18.
Filipazzi P, Huber V, Rivoltini L. Phenotype, function and clinical implications of myeloid-derived suppressor cells in cancer patients. Cancer Immunol Immunother. 2013;61:255–63.
Lu T, Ramakrishnan R, Altiok S, Youn JI, Cheng P, Celis E, et al. Tumor-infiltrating myeloid cells induce tumor cell resistance to cytotoxic T cells in mice. J Clin Invest. 2011;121:4015–29.
Centuori SM, Trad M, LaCasse CJ, Alizadeh D, Larmonier CB, Hanke NT, et al. Myeloid-derived suppressor cells from tumor-bearing mice impair TGF-beta-induced differentiation of CD4 + CD25 + FoxP3+ Tregs from CD4 + CD25-FoxP3- T cells. J Leukoc Biol. 2012;92:987–97.
Hoechst B, Voigtlaender T, Ormandy L, Gamrekelashvili J, Zhao F, Wedemeyer H, et al. Myeloid derived suppressor cells inhibit natural killer cells in patients with hepatocellular carcinoma via the NKp30 receptor. Hepatology. 2009;50:799–807.
Vasquez-Dunddel D, Pan F, Zeng Q, Gorbounov M, Albesiano E, Fu J, et al. STAT3 regulates arginase-I in myeloid-derived suppressor cells from cancer patients. J Clin Invest. 2013;123:1580–9.
Obermajer N, Muthuswamy R, Odunsi K, Edwards RP, Kalinski P. PGE(2)-induced CXCL12 production and CXCR4 expression controls the accumulation of human MDSCs in ovarian cancer environment. Cancer Res. 2011;71:7463–70.
Rodriguez PC, Ernstoff MS, Hernandez C, Atkins M, Zabaleta J, Sierra R, et al. Arginase I-producing myeloid-derived suppressor cells in renal cell carcinoma are a subpopulation of activated granulocytes. Cancer Res. 2009;69:1553–60.
Gorgun GT, Whitehill G, Anderson JL, Hideshima T, Maguire C, Laubach J, et al. Tumor-promoting immune-suppressive myeloid-derived suppressor cells in the multiple myeloma microenvironment in humans. Blood. 2013;121:2975–87.
Chikamatsu K, Sakakura K, Toyoda M, Takahashi K, Yamamoto T, Masuyama K. Immunosuppressive activity of CD14+ HLA-DR- cells in squamous cell carcinoma of the head and neck. Cancer Sci. 2012;103:976–83.
Yan D, Yang Q, Shi M, Zhong L, Wu C, Meng T, et al. Polyunsaturated fatty acids promote the expansion of myeloid-derived suppressor cells by activating the JAK/STAT3 pathway. Eur J Immunol. 2013;43:2943–55.
Zhang B, Wang Z, Wu L, Zhang M, Li W, Ding J, et al. Circulating and tumor-infiltrating myeloid-derived suppressor cells in patients with colorectal carcinoma. PLoS One. 2013;8:e57114.
Solito S, Falisi E, Diaz-Montero CM, Doni A, Pinton L, Rosato A, et al. A human promyelocytic-like population is responsible for the immune suppression mediated by myeloid-derived suppressor cells. Blood. 2011;118:2254–65.
Solito S, Marigo I, Pinton L, Damuzzo V, Mandruzzato S, Bronte V. Myeloid-derived suppressor cell heterogeneity in human cancers. Ann N Y Acad Sci. 2014;1319:47–65.
Zhu J, Huang X, Yang Y. Myeloid-derived suppressor cells regulate natural killer cell response to adenovirus-mediated gene transfer. J Virol. 2012;86:13689–96.
Kotsakis A, Harasymczuk M, Schilling B, Georgoulias V, Argiris A, Whiteside TL. Myeloid-derived suppressor cell measurements in fresh and cryopreserved blood samples. J Immunol Methods. 2012;381:14–22.
Nagaraj S, Nelson A, Youn JI, Cheng P, Quiceno D, Gabrilovich DI. Antigen-specific CD4(+) T cells regulate function of myeloid-derived suppressor cells in cancer via retrograde MHC class II signaling. Cancer Res. 2012;72:928–38.
Wang L, Chang EW, Wong SC, Ong SM, Chong DQ, Ling KL. Increased myeloid-derived suppressor cells in gastric cancer correlate with cancer stage and plasma S100A8/A9 proinflammatory proteins. J Immunol. 2013;190:794–804.
Yu J, Du W, Yan F, Wang Y, Li H, Cao S, et al. Myeloid-derived suppressor cells suppress antitumor immune responses through IDO expression and correlate with lymph node metastasis in patients with breast cancer. J Immunol. 2013;190:3783–97.
Meyer C, Sevko A, Ramacher M, Bazhin AV, Falk CS, Osen W, et al. Chronic inflammation promotes myeloid-derived suppressor cell activation blocking antitumor immunity in transgenic mouse melanoma model. Proc Natl Acad Sci U S A. 2011;108:17111–6.
Obermajer N, Kalinski P. Generation of myeloid-derived suppressor cells using prostaglandin E2. Transplant Res. 2012;1:15.
Cui TX, Kryczek I, Zhao L, Zhao E, Kuick R, Roh MH, et al. Myeloid-derived suppressor cells enhance stemness of cancer cells by inducing microRNA101 and suppressing the corepressor CtBP2. Immunity. 2013;39:611–21.
Frey AB, Monu N. Effector-phase tolerance: another mechanism of how cancer escapes antitumor immune response. J Leukoc Biol. 2006;79:652–62.
Rotstein S, Blomgren H, Petrini B, Wasserman J, Nilsson B, Baral E. Blood lymphocyte counts with subset analysis in operable breast cancer. Relation to the extent of tumor disease and prognosis. Cancer. 1985;56:1413–9.
Xiang X, Poliakov A, Liu C, Liu Y, Deng ZB, Wang J, et al. Induction of myeloid-derived suppressor cells by tumor exosomes. Int J Cancer. 2009;124:2621–33.
Sinha P, Okoro C, Foell D, Freeze HH, Ostrand-Rosenberg S, Srikrishna G. Proinflammatory S100 proteins regulate the accumulation of myeloid-derived suppressor cells. J Immunol. 2008;181:4666–75.
Bronte V. Myeloid-derived suppressor cells in inflammation: uncovering cell subsets with enhanced immunosuppressive functions. Eur J Immunol. 2009;39:2670–2.
Waight JD, Netherby C, Hensen ML, Miller A, Hu Q, Liu S, et al. Myeloid-derived suppressor cell development is regulated by a STAT/IRF-8 axis. J Clin Invest. 2013;123:4464–78.
This work was supported by grants from the General Program (Grant Nos. 81372442 and 81172164, Li J) and the National Key Basic Research Program of China (2014CB745200) of the National Natural Science Foundation of China and the Key Sci-Tech Program of the Guangzhou City Science Foundation (Grant No. 2011Y100036, Li J) and the Natural Science Foundation of Guangdong Province, China (Grant No. S2012010011132, Dr. Xiao-Jun Wu).
The authors declare that they have no competing interests.
Conceived and designed the experiments: JL, YXZ, GM. Performed the experiments: LYOY, XJW, SBY, ZLL, WL. Analyzed the data: LYOY JL, ZW, QL. Contributed reagents/materials/analysis tools: LMZ, XSZ, ZZP. Wrote the manuscript: JL, ZW, LYOY. All authors read and approved the final manuscript.
Li-Ying OuYang and Xiao-Jun Wu contributed equally to this work.
About this article
Cite this article
OuYang, LY., Wu, XJ., Ye, SB. et al. Tumor-induced myeloid-derived suppressor cells promote tumor progression through oxidative metabolism in human colorectal cancer. J Transl Med 13, 47 (2015). https://doi.org/10.1186/s12967-015-0410-7
- Myeloid-derived suppressor cells
- Colorectal carcinoma
- Radical resection