Abstract
V-domain immunoglobulin suppressor of T-cell activation (VISTA) is a novel negative immune checkpoint considered to be relevant to immunotherapy resistance and a potential target for immunotherapy. In this study, we investigated the relevance of VISTA expression on CD4+ T cells and clinical prognosis in non-small cell lung cancer (NSCLC) patients. Tumor tissue samples from 140 NSCLC patients were organized into a tissue microarray. The prognostic value of CD4+ VISTA+ T cells was analyzed through immunohistochemistry and multicolor fluorescence immunostaining. Fresh tumor tissue samples from 33 NSCLC patients were collected and similarly analyzed to confirm the immune state of patients with VISTA expression on CD4+ T cells by flow cytometry. CD4+ VISTA+ T cells were significantly more infiltrated in tumor tissues. The expression of VISTA on CD4+ T cells was correlated with the reduced overall survival of patients with NSCLC and presented a high rate of lymphocyte metastasis. The expression of VISTA on CD4+ T cells in tumor tissue showed low secretion of cytokines including IFN-γ, IL-2, IL-4, IL-10, IL-17, and IL-12p70. The expression of VISTA on CD4+ T cells could regulate tumor immunity and serve as a prognostic indicator for survival outcomes.
Keywords: VISTA, CD4+ T cells, non-small cell lung cancer, prognosis, immune status
INTRODUCTION
In 2020, on an international scale, there was 2.2 million (11.4%) new cases of lung cancer and 1.8 million (18%) deaths [1]. Non-small cell lung cancer (NSCLC) is a major type of primary lung cancer with various histological, genetic, and molecular heterogeneity [2]. Although chemotherapy, targeted therapy, and immunotherapy have been greatly developed in recent years, new immunotherapy targets are urgently required.
The interaction between tumor cells and tumor microenvironment (TME) serves a critical function in tumor occurrence, progression, metastasis, and drug resistance [3,4]. Immune cells in TME could influence the growth and evolution of tumor cells, and the cross-talking of immune cells with tumor cells significantly affects the long-term outcomes in tumor patients [5,6]. Immune checkpoints (ICs) have critical roles in modulating immune responses [7,8]. These inhibitory ICs may be an effective tumor-targeting factor. However, only 20% to 30% of NSCLC patients respond well to immune checkpoint inhibitors [9]. Therefore, the presentation of new ICs and their expression and function would possess value in cancer immunotherapy.
V-domain immunoglobulin suppressor of T-cell activation (VISTA), which was found to be overexpressed in the tumor-infiltrating lymphocytes (TILs) of NSCLC [10], might substantially regulate adaptive antitumor immunity as novel inhibitory ICs [11,12]. CD4+ T cells perform crucial roles in initiating, regulating, and adapting immune responses, contributing to the response mediated by B cells and CD8+ cytotoxic T cells [13]. The clinical significance and immune microenvironment relevant to VISTA expression on CD4+ T cells remain to be further explored in NSCLC. In this study, we studied the relationship between the expression of VISTA on CD4+ T cells and the prognosis of NSCLC patients. We tested VISTA expression on CD4+ T cells and identified its role in TME with the NSCLC patients’ tumor tissues. The results showed a correlation with the expression of VISTA on CD4+ T cells and the poor prognosis of NSCLC patients. The expression of VISTA on CD4+ T cells may indicate regulation of tumor immunity.
MATERIALS AND METHODS
Patients, and tissue microarrays
The tissue samples were collected from patients with lung adenocarcinoma subtype of NSCLC who underwent radical surgery at Weifang Second People’s Hospital from January 1 2011 to December 31 2015. Basis samples were selected randomly upon availability. The pathologist diagnosed the histological type of tumor samples through hematoxylin-eosin (H and E) staining (Supplement Figure 1). A total of 140 tumor tissue samples were organized into tissue microarray chips by Shanghai Outdo Biotech Co., LTD. The clinical and pathological information of the tissue samples were obtained from the Hospital’s information system. The overall survival (OS) was defined as the interval between the date of surgery and date of death or last follow-up. 34 patients had no prognosis and tumor, node, and metastasis (TNM) staging data.
Immunohistochemistry (IHC)
IHC was performed on the tissue microarray slides. The tissue microarray slice was cut into 4um and baked in an oven at 60° C for 60 minutes. After dewaxing, hydrogen peroxide blocking, citric acid (BL604A, Biosharp) antigen retrieval, and goat serum (SL038, Solarbio) blocking for 30 minutes at 37° C, the slides were incubated overnight with anti-human VISTA (1:500, ab230950, Abcam) at 4° C. They were then washed by Phosphate Buffered Saline-Tween three times and incubated with Horseradish Peroxidase (HRP)-conjugated secondary antibody for 2 hours at room temperature. Thereafter, the slides were stained with 3, 30-diaminobenzidine (DAB) and counterstained with hematoxylin. The images were scanned with a Panoramic Digital Slide Scanner (3DHISTECH) and analyzed using Panoramic Viewer software (3DHISTECH).
Multicolor fluorescence immunostaining
For multiple-color staining, the OpalTM 7-color fluorescent IHC kit was used according to the manual provided. Tissue microarrays were sequentially stained with primary antibodies and HRP-conjugated secondary antibodies. One of the four Opal reagents including Dyes Opal520, Opal620, Opal650, and Opal690 were used for staining, followed by microwave treatment and another round of staining. Anti-human CD45 (1:500, GM070129, Gene Tech), anti-human CD4 (1:500, GT219129, Gene Tech), anti-human CD8 (1:300, ab17147, Abcam), anti-human VISTA (1:500, ab230950, Abcam), anti-human CK (1:2000, ab215838, Abcam) were used as primary antibodies. Samples were visualized using the Vectra Automated Quantitative Pathology Imaging System (PerkinElmer).
Flow cytometry
Fresh samples, including tumor tissues (n = 33) and peritumor tissues (n = 33) from NSCLC patients were collected from Weifang Second People’s Hospital. The peritumor area was defined with a radius of at least 2 cm from the tumor periphery.
Single-cell suspensions were prepared from tumor tissue. Then samples were stained with anti-human VISTA (PE, clone: MIH65, BD Pharmingen), anti-human CD45 (PC5.5, clone: J33, Beckman Coulter), anti-human CD4 (APC, clone: 13B8.2, Beckman Coulter), anti-human CD8 (APC-A750, clone: B9.11, Beckman Coulter) for 30 minutes at 4° C after being lysed with erythrocyte lysis buffer. Stained cells were washed and resuspended in phosphate-buffered saline. Flow cytometry data were analyzed by FlowJo software (BD, Bioscience).
Cytokine determination by cytometric bead array (CBA)
Tumor tissue and peritumor tissue (100 mg) were lysed by Ultrasonic Sonicator (Virsonic 60). Cytokines IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17A, TNF-α, IFN-γ, and IFN-α, were measured in lung homogenates supernatant using the human cytokines combined detection kit (Jiangxi Cell-Gene Biotech CO., LTD) and were analyzed by software FCAP Array 3.0 (BD Biosciences) after collection of events in a flow cytometer (Beckman Coulter).
Ethical statement
All procedures performed in studies involving human participants were in accordance with the institutional and/or national research committee’s ethical standards and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
This study was approved by the Ethics Committee of Weifang Second People’s Hospital (approval number ky2019-004-01) and was carried out according to the guidelines of the Declaration of Helsinki.
Statistical analysis
The survival curves were estimated by the Kaplan-Meier method. The Cox regression models were used to study the relationships between correlations and NSCLC OS. Data were analyzed using χ2 test and unpaired t-test. The statistical significance was defined as p < 0.05.
RESULTS
VISTA co-localizes with lymphocytes in tumor tissues of NSCLC patients
The expression of VISTA in samples of NSCLC patients was identified by IHC and multicolor fluorescence immunostaining. The results showed that all 140 tumor specimens from NSCLC patients showed positive VISTA staining (representative figure shown in Figure 1A). To investigate the expression of VISTA in different immune cells, we have developed a new multiplex immunolabelling protocol with Tyramide Signal Amplification. The multicolor fluorescence immunostaining results showed that VISTA co-localized with CD45+, CD4+, and CD8+ staining lymphocytes (Figure 1B and C). These results confirmed the existence of VISTA in NSCLC lymphocytes.
FIGURE 1.

V-domain immunoglobulin suppressor of T-cell activation (VISTA) was expressed in CD45, CD4, and CD8 in non-small cell lung cancer (NSCLC). (A) Immunohistochemistry staining for VISTA in NSCLC tissues. (B) Multicolor fluorescence immunostaining for VISTA (green), CD45 (pink), CD4 (red), and CK (brown) in NSCLC tissues. (C) Multicolor fluorescence immunostaining for VISTA (green), CD8 (cyan), CD4 (red), and CK (brown) in NSCLC tissues.
CD4+ VISTA+ T cells expression is increased in tumor tissue compared with the corresponding peritumor tissue
To verify the expression pattern of VISTA in fresh NSCLC tumor tissues, we analyzed the expression of VISTA in freshly collected tissues and its paired peritumor tissues by flow cytometry. The results showed that CD4+ VISTA+ T cells were significantly increased in tumor tissues compared to peritumor tissues (Figure 2A and B), while no significant difference was seen with CD45+ VISTA+ cells and CD8+ VISTA+ T cells (Figure 2C and F).
FIGURE 2.

V-domain immunoglobulin suppressor of T-cell activation (VISTA) expression levels of lymphocytes were detected by flow cytometry. (A-B) Comparison of CD4+ VISTA+ T cells infiltration in tumor and peritumor tissues of patients with non-small cell lung cancer (NSCLC). (C-D) The expression levels of VISTA in CD45+ cells compared to peritumor tissues of patients with NSCLC. (E-F) Comparison of CD8+ VISTA+ T cell infiltration between tumor and peritumor tissues. ***p < 0.001 by unpaired t-test.
Expression level of CD4+ VISTA+ T cells correlates with NSCLC progression and may be a prognosticator for survival outcome
We analyzed the expression of VISTA in 106 NSCLC patients undergoing surgical treatment at different TNM stages. The patient characteristics and tumor pathological features are presented in Table 1. The ratio of patients with CD4+ VISTA+ T cells infiltration increased with advanced pathology Node (pN) staging, but no difference was found in pathology Tumor (pT) staging (Figure 3A). Due to the comparatively small number of cases with metastasis, analysis was not performed in this stage.
TABLE 1.
Patient characteristics

FIGURE 3.

Intratumoral CD4+ VISTA+ T cells infiltration yields poor prognosis in Non-small cell lung cancer (NSCLC). (A) Proportion of patients with CD4+ VISTA+/- T cells infiltration in pT stage and pN stage. (B) Kaplan-Meier curves for overall survival (OS) according to high/low CD4+ T cells infiltration in the cohort (n=106). (C) Kaplan-Meier curves for OS according to high/low VISTA in the cohort (n=106). (D) Kaplan-Meier curves for OS according to CD4+ VISTA+/- T cells infiltration in the cohort (n=106). Log-rank test was performed for Kaplan-Meier curves. *P<0.05 by χ2 test.
The prognostic ability of the expression of VISTA on CD4+ T cells was explored next. Among all NSCLC cases with a follow-up of at least 5 years, the OS showed no difference with CD4+ T cell group (p = 0.6806, Figure 3B). The high expression of VISTA was related to decreased OS of patients with NSCLC (p = 0.0352, Figure 3C). Next, we sought to explore whether the expression of VISTA on CD4+ T cells affects the prognosis of NSCLC patients. The CD4+ VISTA+ T cells group possessed inferior OS than that of the CD4+ VISTA-T cells group (p = 0.0305, Figure 3D). These results indicated that the expression of VISTA on CD4+ T cells correlates with NSCLC progression and may be a factor in predicting the survival of NSCLC patients. Univariate Cox regression analysis indicated that node stage (p < 0.001), metastasis stage (p = 0.05), VISTA expression abundance (p = 0.02), and the expression of VISTA on CD4+ T cells (p = 0.038) were significantly correlated with OS. Multivariate Cox regression analysis showed that node stage (p < 0.001) and VISTA expression abundance (p = 0.041) were two independent prognostic factors for OS, while the metastasis stage and the expression of VISTA on CD4+ T cells were not (Table 2).
TABLE 2.
Univariate and multivariate analyses of prognostic parameters in 106 NSCLC patients by Cox-regression analysis

The expression of VISTA on CD4+ T cells may affect immunity in patients with NSCLC
Levels of Th1, Th2, regulatory T cells (Tregs), and Th17 and macrophage cytokine secretion in NSCLC patients with VISTA expression on CD4+ T cells were subsequently investigated. We evaluated the cytokine levels of tumor specimens and peritumor specimens in patients with NSCLC. The results showed that the cytokine level in TME of patients with VISTA expression on CD4+ T cells was lower than that in matched adjacent peritumor tissues. Th1 cytokines (IFN-γ, IL-2), Th2 cytokine (IL-4), Tregs cytokine (IL-10), and Th17 cytokine (IL-17) in TME were lower than matched adjacent peritumor tissues (Figure 4A-D). In addition, the level of macrophage cytokine (IL-12p70) in the tumor tissue was significantly reduced compared with the peritumor tissue (Figure 4E). IL-1β, IL-6, IL-8, and IFN-α showed no significant differences (Supplement Figure 2). Together with the results in Figure 4, these data demonstrate that the expression of VISTA on CD4+ T cells should inhibit the function of immune system within the tumor tissue compared with matched adjacent peritumor tissue.
FIGURE 4.

The expression of V-domain immunoglobulin suppressor of T-cell activation (VISTA) on CD4+ T cells may affect immunity in patients with non-small cell lung cancer (NSCLC). (A) Expression of Th1 cytokines (IFN-γ, n = 17; IL-2, n = 17) in the tumor tissue compared with the peritumor tissue (B) The contents of Th2 cytokines (IL-4, n = 17; IL-5, n = 17) in the tumor tissue compared with the peritumor tissue. (C) Expression of Tregs cytokine (IL-10, n = 17) in the tumor tissue compared with the peritumor tissue. (D) The production of Th17 cytokine (IL-17, n = 17) in the tumor tissue compared with the peritumor tissue. (E) The level of macrophage cytokines (IL-12p70, n = 17; TNF-α, n = 17) in the tumor tissue compared with the peritumor tissue. *p < 0.05, **p < 0.01 by unpaired t-test.
DISCUSSION
Immune cells play an important role in the progression of NSCLC. The function of immune cells in the tumor is primarily divided into two categories: promoting or inhibiting tumor progression. In a study by Catacchio et al. on the association between immune cells and prognosis in lung cancer, it was reported that M2 macrophages, immature dendritic cells, and Treg cells were found to be associated with poor prognosis [14]. Next, we tentatively explored immune cells that were associated with poor prognosis and the mechanism of functional and mechanical barriers. M2 macrophages secreted immunosuppressive cytokines, chemokines, and growth factors to inhibit T-cell activation and promote tumor progression [15,16]. Treg cells also can secrete immunosuppressive cytokines and express cytotoxic T lymphocytes cell antigen-4 (CTLA-4) to impair antitumor immune responses [17,18]. A study showed that oxidative stress can induce apoptosis of Treg cells and release a large amount of adenosine triphosphate, which is metabolized into adenosine through the high expression of CD39 and CD73 in Treg cells. Adenosine binds to A2A receptor (A2AR) to inhibit effector T cells [19]. In lung cancer, the presence of immature dendritic cells led to poor prognosis due to overexpression of programmed cell death-L1 (PD-L1) and programmed cell death-L2 (PD-L2) to inhibit T cell proliferation and activation [20,21]. Myeloid-derived suppressor cells (MDSCs) have been reported to be highly involved in the multistep development of tumorigenesis. MDSC can highly express indoleamine 2mine3-dioxygenase (IDO) which can degrade 1-tryptophan to N-formylcanine to inhibit T-cell activation and promote CD4+ T cells to differentiate into Treg cells [22]. MDSCs could promote tumor progression through several other mechanisms, such as upregulating PD-L1, secreting immunosuppressive cytokines and growth factors, secreting high levels of vascular endothelial growth factor, and basic fibroblast growth factor (bFGF) [23-25]. These cells contribute to poor progression mainly by inhibiting T-cell activation and proliferation. It is also important to note that the density and activation status of tumor-infiltrating T cells may be critical indicators of prognosis for NSCLC. A study showed that more TILs infiltrated the tumor environment in NSCLC when normally CD4+ T cells account for a large percentage [26]. CD4+ T cells display an antitumor immunity profile by enhancing the antineoplastic effect at the tumor site, preventing activation-induced cell death, and giving priority to the generation of immune memory cells by cytotoxic T-lymphocytes [27]. CD4+ T cells play an important role in antitumor immunity. However, the potential role of CD4+ T cells in the prognosis of NSCLC is still unclear.
VISTA was identified as a potent inhibitor of T-cell proliferation and activation, which are crucial in immune suppression [11,28-30]. VISTA overexpressed in TILs was studied in various cancers, including melanoma [31], gastric cancer [32], and colorectal cancer [33]. Co-localization was prominent between VISTA and TILs by multicolor fluorescence immunostaining results. Our results showed that CD4+ VISTA+ T cells were significantly increased in fresh NSCLC tumor tissues compared with peritumor tissues. CD4+ VISTA+ T cell expression may correlate with tumor progression in NSCLC.
A study by Wu et al. showed that VISTA expression on CD8+ T cells may predict the OS of oral squamous cell carcinoma [34]. However, the association between VISTA expression on CD4+ T cells and survival was not clearly determined. Our results demonstrated that the expression of VISTA on CD4+ T cells was correlated with lymph node metastasis and poor prognosis in NSCLC patients. Although the expression of VISTA on CD4+ T cells has been implicated in tumor progression in a recent study, it should be cautiously assumed based on the small patient numbers that the expression of VISTA on CD4+ T cells may be a novel clinical prognostic parameter for NSCLC.
We examined the levels of cytokines in the TME by CBA. Cytokine concentration between tumor tissue and matched adjacent peritumor tissue was significantly different. The tumor tissue of patients with VISTA expression on CD4+ T cells had a lower level of cytokines. Decreased global levels of cytokines in TME showed that intratumor immune cells may be more inactive than peritumor immune cells. The result suggests that the expression of VISTA on CD4+ T cells may affect immunity in patients with NSCLC.
CONCLUSION
In summary, the results of this study indicated that the expression of VISTA on CD4+ T cells was related to poor prognosis in NSCLC patients and may be used as a prognostic factor for adverse NSCLC outcomes. The expression of VISTA on CD4+ T cells correlated with the immune status of the NSCLC patients. These findings indicated that VISTA might be considered a potential target for NSCLC immunotherapy.
ACKNOWLEDGMENTS
The authors would like to thank the Weifang Second People’s Hospital for providing the experimental samples and sample information.
SUPPLEMENTAL DATA
FIGURE S1.

H and E staining of the tumor tissue, intermediate portion, and normal tissue. (A) Pathological characteristics of tumor tissues assessed by H and E staining. (B) H and E staining of intermediate portion. (C) H and E staining of normal tissue.
FIGURE S2.

The expression of CD4+ T cells may be correlated with the immune status of patients with Non-small cell lung cancer. There was no significant difference in other cytokines.
Footnotes
Conflict of interests: The authors declare no conflict of interests.
Funding: This study is supported by funds from the Natural Science Foundation of Shandong Province (ZR2020MH056); and the Science and Technology Development Project of Weifang (2020YQFK017, WFWSJK-2020-004, 2020YX071).
REFERENCES
- 1.Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020:GLOBOCAN estimates of incidence and mortality worldwide for 36 acancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49. doi: 10.3322/caac.21660. https://doi.org/10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
- 2.Chen Z, Fillmore CM, Hammerman PS, Kim CF, Wong KK. Non-small-cell lung cancers:A heterogeneous set of diseases. Nat Rev Cancer. 2014;14(8):535–46. doi: 10.1038/nrc3775. https://doi.org/10.1038/nrc3775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Del Prete A, Schioppa T, Tiberio L, Stabile H, Sozzani S. Leukocyte trafficking in tumor microenvironment. Curr Opin Pharmacol. 2017;35:40–7. doi: 10.1016/j.coph.2017.05.004. https://doi.org/10.1016/j.coph.2017.05.004. [DOI] [PubMed] [Google Scholar]
- 4.Argentiero A, De Summa S, Di Fonte R, Iacobazzi RM, Porcelli L, Da Vià M, et al. Gene expression comparison between the lymph node-positive and-negative reveals a peculiar immune microenvironment signature and a theranostic role for WNT targeting in pancreatic ductal adenocarcinoma:A pilot study. Cancers (Basel) 2019;11(7):942. doi: 10.3390/cancers11070942. https://doi.org/10.3390/cancers11070942. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Korneev KV, Atretkhany KN, Drutskaya MS, Grivennikov SI, Kuprash DV, Nedospasov SA. TLR-signaling and proinflammatory cytokines as drivers of tumorigenesis. Cytokine. 2017;89:127–35. doi: 10.1016/j.cyto.2016.01.021. https://doi.org/10.1016/j.cyto.2016.01.021. [DOI] [PubMed] [Google Scholar]
- 6.Wang JJ, Lei KF, Han F. Tumor microenvironment:Recent advances in various cancer treatments. Eur Rev Med Pharmacol Sci. 2018;22(12):3855–64. doi: 10.26355/eurrev_201806_15270. https://doi.org/10.26355/eurrev_201806_15270. [DOI] [PubMed] [Google Scholar]
- 7.Leung J, Suh WK. The CD28-B7 afamily in anti-tumor immunity:Emerging concepts in cancer immunotherapy. Immune Netw. 2014;14(6):265–76. doi: 10.4110/in.2014.14.6.265. https://doi.org/10.4110/in.2014.14.6.265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell. 2010;140(6):883–99. doi: 10.1016/j.cell.2010.01.025. https://doi.org/10.1016/j.cell.2010.01.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Meyers DE, Bryan PM, Banerji S, Morris DG. Targeting the PD-1/PD-L1 aaxis for the treatment of non-small-cell lung cancer. Curr Oncol. 2018;25(4):e324–34. doi: 10.3747/co.25.3976. https://doi.org/10.3747/co.25.3976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Villarroel-Espindola F, Yu X, Datar I, Mani N, Sanmamed M, Velcheti V, et al. Spatially resolved and quantitative analysis of VISTA/PD-1H as a novel immunotherapy target in human non-small cell lung cancer. Clin Cancer Res. 2018;24(7):1562–73. doi: 10.1158/1078-0432.CCR-17-2542. https://doi.org/10.1158/1078-0432.iaCCR-17-2542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lines JL, Pantazi E, Mak J, Sempere LF, Wang L, O'Connell S, et al. VISTA is an immune checkpoint molecule for human T cells. Cancer Res. 2014;74(7):1924–32. doi: 10.1158/0008-5472.CAN-13-1504. https://doi.org/10.1158/0008-5472.iaCAN-13-1504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Nowak EC, Lines JL, Varn FS, Deng J, Sarde A, Mabaera R, et al. Immunoregulatory functions of VISTA. Immunol Rev. 2017;276(1):66–79. doi: 10.1111/imr.12525. https://doi.org/10.1111/imr.12525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Bos R, Sherman LA. CD4+T-cell help in the tumor milieu is required for recruitment and cytolytic function of CD8+T lymphocytes. Cancer Res. 2010;70(21):8368–77. doi: 10.1158/0008-5472.CAN-10-1322. https://doi.org/10.1158/0008-5472.iaCAN-10-1322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Catacchio I, Scattone A, Silvestris N, Mangia A. Immune prophets of lung cancer:The prognostic and predictive landscape of cellular and molecular immune markers. Transl Oncol. 2018;11(3):825–35. doi: 10.1016/j.tranon.2018.04.006. https://doi.org/10.1016/j.tranon.2018.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Singhal S, Stadanlick J, Annunziata MJ, Rao AS, Bhojnagarwala PS, O'Brien S, et al. Human tumor-associated monocytes/macrophages and their regulation of T cell responses in early-stage lung cancer. Sci Transl Med. 2019;11(479):eaat1500. doi: 10.1126/scitranslmed.aat1500. https://doi.org/10.1126/scitranslmed.aat1500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Motallebnezhad M, Jadidi-Niaragh F, Qamsari ES, Bagheri S, Gharibi T, Yousefi M. The immunobiology of myeloid-derived suppressor cells in cancer. Tumour Biol. 2016;37(2):1387–406. doi: 10.1007/s13277-015-4477-9. https://doi.org/10.1007/s13277-015-4477-9. [DOI] [PubMed] [Google Scholar]
- 17.Ohue Y, Nishikawa H. Regulatory T (Treg) cells in cancer:Can Treg cells be a new therapeutic target? Cancer Sci. 2019;110(7):2080–9. doi: 10.1111/cas.14069. https://doi.org/10.1111/cas.14069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Walker LS, Sansom DM. The emerging role of CTLA4 aas a cell-extrinsic regulator of T cell responses. Nat Rev Immunol. 2011;11(12):852–63. doi: 10.1038/nri3108. https://doi.org/10.1038/nri3108. [DOI] [PubMed] [Google Scholar]
- 19.Maj T, Wang W, Crespo J, Zhang H, Wang W, Wei S, et al. Oxidative stress controls regulatory T cell apoptosis and suppressor activity and PD-L1-blockade resistance in tumor. Nat Immunol. 2017;18(12):1332–41. doi: 10.1038/ni.3868. https://doi.org/10.1038/ni.3868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Pyfferoen L, Brabants E, Everaert C, De Cabooter N, Heyns K, Deswarte K, et al. The transcriptome of lung tumor-infiltrating dendritic cells reveals a tumor-supporting phenotype and a microRNA signature with negative impact on clinical outcome. Oncoimmunology. 2017;6(1):1253655. doi: 10.1080/2162402X.2016.1253655. https://doi.org/10.1080/2162402X.2016.1253655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Perrot I, Blanchard D, Freymond N, Isaac S, Guibert B, Pachéco Y, et al. Dendritic cells infiltrating human non-small cell lung cancer are blocked at immature stage. J Immunol. 2007;178(5):2763–9. doi: 10.4049/jimmunol.178.5.2763. https://doi.org/10.4049/jimmunol.178.5.2763. [DOI] [PubMed] [Google Scholar]
- 22.Highfill SL, Rodriguez PC, Zhou Q, Goetz CA, Koehn BH, Veenstra R, et al. Bone marrow myeloid-derived suppressor cells (MDSCs) inhibit graft-versus-host disease (GVHD) via an arginase-1-dependent mechanism that is up-regulated by interleukin-13. Blood. 2010;116(25):5738–47. doi: 10.1182/blood-2010-06-287839. https://doi.org/10.1182/blood-2010-06-287839. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Li J, Wang L, Chen X, Li L, Li Y, Ping Y, et al. CD39/CD73 aupregulation on myeloid-derived suppressor cells via TGF-b-mTOR-HIF-1 signaling in patients with non-small cell lung cancer . Oncoimmunology. 2017;6(6):1320011. doi: 10.1080/2162402X.2017.1320011. https://doi.org/10.1080/2162402X.2017.1320011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Berger KN, Pu JJ. PD-1 apathway and its clinical application:A 20year journey after discovery of the complete human PD-1 gene. Gene. 2018;638:20–5. doi: 10.1016/j.gene.2017.09.050. https://doi.org/10.1016/j.gene.2017.09.050. [DOI] [PubMed] [Google Scholar]
- 25.Shen P, Wang A, He M, Wang Q, Zheng S. Increased circulating lin(-/low) CD33(+) HLA-DR(-) myeloid-derived suppressor cells in hepatocellular carcinoma patients. Hepatol Res. 2014;44(6):639–50. doi: 10.1111/hepr.12167. https://doi.org/10.1111/hepr.12167. [DOI] [PubMed] [Google Scholar]
- 26.Su D, Wu G, Xiong R, Sun X, Xu M, Mei Y, et al. Tumor immune microenvironment characteristics and their prognostic value in non-small-cell lung cancer. Front Oncol. 2021;11:634059. doi: 10.3389/fonc.2021.634059. https://doi.org/10.3389/fonc.2021.634059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kennedy R, Celis E. Multiple roles for CD4+T cells in anti-tumor immune responses. Immunol Rev. 2008;222:129–44. doi: 10.1111/j.1600-065X.2008.00616.x. https://doi.org/10.1111/j.1600-065X.2008.00616.iax. [DOI] [PubMed] [Google Scholar]
- 28.Wang L, Rubinstein R, Lines JL, Wasiuk A, Ahonen C, Guo Y, et al. VISTA, a novel mouse Ig superfamily ligand that negatively regulates T cell responses. J Exp Med. 2011;208(3):577–92. doi: 10.1084/jem.20100619. https://doi.org/10.1084/jem.20100619. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Le Mercier I, Chen W, Lines JL, Day M, Li J, Sergent P, et al. VISTA regulates the development of protective antitumor immunity. Cancer Res. 2014;74(7):1933–44. doi: 10.1158/0008-5472.CAN-13-1506. https://doi.org/10.1158/0008-5472.iaCAN-13-1506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lines JL, Sempere LF, Broughton T, Wang L, Noelle R. VISTA is a novel broad-spectrum negative checkpoint regulator for cancer immunotherapy. Cancer Immunol Res. 2014;2(6):510–7. doi: 10.1158/2326-6066.CIR-14-0072. https://doi.org/10.1158/2326-6066.iaCIR-14-0072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kuklinski LF, Yan S, Li Z, Fisher JL, Cheng C, Noelle RJ, et al. VISTA expression on tumor-infiltrating inflammatory cells in primary cutaneous melanoma correlates with poor disease-specific survival. Cancer Immunol Immunother. 2018;67(7):1113–21. doi: 10.1007/s00262-018-2169-1. https://doi.org/10.1007/s00262-018-2169-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Oliveira P, Carvalho J, Rocha S, Azevedo M, Reis I, Camilo V, et al. Dies1/VISTA expression loss is a recurrent event in gastric cancer due to epigenetic regulation. Sci Rep. 2016;6:34860. doi: 10.1038/srep34860. https://doi.org/10.1038/srep34860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Xie S, Huang J, Qiao Q, Zang W, Hong S, Tan H, et al. Expression of the inhibitory B7 afamily molecule VISTA in human colorectal carcinoma tumors . Cancer Immunol Immunother. 2018;67(11):1685–94. doi: 10.1007/s00262-018-2227-8. https://doi.org/10.1007/s00262-018-2227-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zhang M, Pang HJ, Zhao W, Li YF, Yan LX, Dong ZY, et al. VISTA expression associated with CD8 aconfers a favorable immune microenvironment and better overall survival in hepatocellular carcinoma . BMC Cancer. 2018;18(1):511. doi: 10.1186/s12885-018-4435-1. https://doi.org/10.1186/s12885-018-4435-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
