Background
Hepatocellular carcinoma (HCC) is the leading cause of cancer-related mortality worldwide. Radical surgery and liver transplantation are only available in those with early-stage HCC, for most patients with advanced disease, the current systemic treatment options provide limited therapeutic benefits, and hence, novel therapeutic options are needed [
1,
2]. Fortunately, recent clinical trials with immune checkpoint blockade therapies have shown unprecedented treatment responses to many types of cancers. The CheckMate 040 is the first study that confirmed the safety and favorable efficacy of Nivolumab, a programmed death 1 (PD-1) inhibitor, in patients with advanced HCC [
3]. These studies highlight a promising method to treat HCC based on immune checkpoint blockades.
The occurrence and development of HCC is generally correlated with inflammatory stimulation characterized by close communication between the tumor cells and the inflammatory microenvironment consisting of transformed epithelial cells, tumor-associated fibroblasts, and immunosuppressive macrophages [
4]. It is of great importance to understand the role and status of immune checkpoints in HCC microenvironments and whether we can target these immune checkpoints to enhance anti-tumor effects. Previous studies have proposed that tumor microenvironments exist based on the presence or absence of tumor-infiltrating lymphocytes (TILs) and Programmed cell death 1 ligand 1 (PD-L1) expression [
5,
6]. Dual positive of PD-L1 and TILs were defined as an inflamed phenotype microenvironment, which demonstrated the best response to anti-PD-1/L1 therapy [
7,
8].
Recent studies have identified that V-domain Ig suppressor of T cell activation (VISTA) is a novel negative checkpoint regulator, which shared homology with PD-L1 and potently suppressed T-cell activation. VISTA is expressed predominantly on hematopoietic cells, e.g. myeloid, granulocytic and T cells [
9,
10]. Its levels are heightened within the tumor microenvironment, in which its blockade can enhance antitumor immune responses in mice [
11]. Interestingly, VISTA-induced T cell inactivation seemed to be nonredundantly from the PD-1/PD-L1 pathway [
12,
13]. Meanwhile, VISTA levels were shown to increase after ipilimumab therapy in patients with prostate cancer [
14]. These findings indicated that VISTA probably represented another compensatory inhibitory pathway, after the cancer’s resistance to anti-PD-L1/ (cytotoxic lymphocyte antigen 4) CTLA4 therapy; a combination of VISTA and PD-1/CTLA4 blockade might be a promising new option for cancer treatment. This study investigated the expression of VISTA in HCC tumors and analyzed its association with clinicopathological features, TILs in the tumor microenvironment, and clinical outcomes, which provide the basis for further VISTA blockade immunotherapies in patients with HCC.
Methods
Patients, cohorts, and tissue microarrays
Two HCC tissue microarray (HCC-TMA) chips containing a total of 183 pairs of HCC and matched adjacent tissues were obtained from Shanghai Biochip Company Ltd. Samples for TMA were collected using 1.5-mm diameter core needles from a spot of tumors with the most representative histology of each surgical specimen. All patients were followed up for at least 4 years, with the median follow-up period being 43 months (range: 1–80 months). For the use of these clinical materials for research purposes, prior patient consent and approval from the Institute Research Ethics Committee were obtained.
The Cancer Genome Atlas (TCGA) data were retrieved from the online data repository
http://www.cbioportal.org/data_sets.jsp. A total of 372 patients were included in the TCGA cohort with mRNA expression profiling, clinical features, and follow-up information. The median follow-up period was 19.3 months (range: 0.03–120.7 months).
The key variables of these two cohorts, including demographic and clinical information, are provided in Additional file
1: Table S1.
Immunohistochemistry
IHC staining was performed using a Dako Envision System (Dako, Carpinteria, CA, USA) following the manufacturer’s protocol. Tumor sections were assessed immunohistochemically using anti-VISTA (dilution 1:500, clone D1L2G, Cell Signaling, Danvers, United States of America) and anti-CD8 (dilution 1:60, clone: C8/144B, Gene Tech (Shanghai) Co. Ltd) solutions. Serial sections from the HCC-TMA were used for analyzing VISTA and CD8. The IHC-stained tissue sections were scored separately by two pathologists (XYL and FLY) blinded to the clinical parameters.
Evaluation of immunostaining
VISTA expression was evaluated on the basis of tumor cells (TCs) and tumor-infiltrating immune cells (ICs). For TCs, the proportion of VISTA-positive cells was estimated as the percentage of the total TCs stained at any intensity. TCs typically showed membranous staining with a variably strong component of cytoplasmic staining. For tumor-infiltrating ICs, the percentage of VISTA-positive tumor-infiltrating ICs, which included macrophages, dendritic cells, and lymphocytes, occupying the tumor was recorded. VISTA-positive tumor-infiltrating ICs were typically seen as variably sized aggregates towards the periphery of the tumor mass, in stromal bands dissecting the tumor mass, as single cells scattered within the stroma, or within tumor-infiltrating IC aggregates. For the purpose of statistical evaluation, we defined a final VISTA staining score of ≥5% (TC or IC) as the cutoff value, which referred to the PD-L1 IHC evaluation; an SP142 clone was used for this process [
15]. The percentage of CD8+ lymphocytes compared with that of the nucleated cells in the stromal compartments was assessed. A staining score of ≥10% for each core was set as the parameter for high density of CD8+ lymphocytes, according to the degree of cell densities.
mRNA expression profiling analysis
For HCCs included in the TCGA cohort, the results shown in this study are based upon data generated by TCGA Research Network at:
http://cancergenome.nih.gov/. Normalized RNA-Seq by Expectation Maximization (RSEM) files were downloaded from TCGA for 372 HCC patients. Experimental procedures regarding RNA extraction, mRNA library preparation, quality control, and subsequent data processing for the quantification of gene expression have been previously reported [
16]. The gene expression cutoff value was chosen as the median for the entire dataset.
Statistical analysis
Statistical analyses were performed using GraphPad Prism (version 7.01), and SPSS (version 22.0) (SPSS, Inc.). Chi-square tests were used to analyze the correlation between VISTA protein expression and clinical pathological variables. The correlation between the expression of VISTA and CD8 + TILs was analyzed by the Spearman’s rank correlation test. The survival curves were estimated by the Kaplan-Meier method. The Cox regression models were used to investigate the relationships between correlative factors and HCC overall survival (OS). All statistics were 2-sided, and the statistical significance was defined as p < 0.05.
Discussion
To our knowledge, this is the first study to analyze VISTA protein expression in HCC. We discovered VISTA protein expression in HCC TCs and tumor infiltrating ICs. Previous study on mouse models and cell lines suggest that VISTA is exclusively expressed on leukocytes infiltrating the tumor [
17]. Recent study that explored the expression of VISTA in gastric carcinoma had first identified VISTA expressed in TCs using a distinct cytoplasmic staining. However, they had observed that VISTA expression in TCs was only found in a small subset of gastric carcinoma cells compared to its predominant expression in ICs (8.8% vs 83.6%) [
18]. Our study demonstrated that the VISTA protein was equally expressed in HCC TCs (16.4%) and ICs (16.9%), and displayed different prognoses in OS. This discrepancy is likely due to biological differences between mouse models, cell lines, or human patients, tumor types, and the immunohistochemical evaluation for VISTA expression. Although the exact VISTA-binding partners are not yet known, several studies have demonstrated that VISTA serves as both a ligand for antigen presenting cells, and a receptor for T cells, and that VISTA suppresses T cell activation [
10,
19,
20]. What is the exact role of VISTA expressed on tumor cells is still unknown, further study need to determine the significances and functions of VISTA expressed on different cell types including tumor cell, antigen presenting cells, and T cells. These explorations can be of great help to understand the potential value of VISTA for immunotherapy.
VISTA has recently been identified as a negative checkpoint regulator, and a potent suppressor of T-cell proliferation and activation [
10,
21], which seems to produce a poor prognosis in theory. However, we have demonstrated VISTA expression in TCs resulted in a favorable prognosis. This finding indicated that there may be different functions and mechanisms involved when VISTA is expressed in TCs and ICs. We found VISTA expressed in TCs was reversely correlated with tumor size (
p = 0.042) and liver cirrhosis (
p = 0.019), which supported VISTA expressed in TCs may act as a tumor-suppressor gene that inhibits tumor cell proliferation and progression. Furthermore, we have found that VISTA expression was significantly correlated with the density of CD8 + TILs, which implied that VISTA may affect potential signaling in the tumor microenvironment, to recruit T-cell infiltration and subsequently attack the TCs. Besides, recent published study of VISTA in non-small cell lung cancer also supported our results that elevated expression of VISTA measured exclusively in the tumor area, was significantly associated with longer 5-year overall survival [
22].
Recent study have demonstrated negative immune checkpoint regulation by VISTA, which represented an important potential mechanism of acquired resistance in melanoma patients treated with anti-PD-1 [
12]. Similarly, Gao et al. [
14] also identified that VISTA represented another compensatory inhibitory pathway in prostate tumors after ipilimumab therapy. These studies highlighted a possibility that increased VISTA expression can be a potential mechanism for anti-PD-1 and anti-CTLA4-acquired resistance. Meanwhile, Liu et al. [
13] found the nonredundant role of VISTA, which was distinct from the PD-1/PD-L1 pathway in controlling T cell activation. Immunofluorescent staining displayed that VISTA and PD-1 are located in different T lymphocytes. We also analyzed the correlation between PD-L1 or PD-1 and VISTA mRNA expression based on TCGA analysis; the results showed a weak correlation between PD-L1 and VISTA (
r = 0.157), as well as PD-1 and VISTA (
r = 0.228) (data not shown). These results further supported the possibility that a combination of VISTA and PD-1/CTLA4 blockade might be a promising option to overcome checkpoint inhibitor resistance. However, before the combination treatment, we should first identify the different roles and mechanisms of primary and acquired expressions of VISTA, in order to design a reasonable treatment strategy.
It has been proposed that four different types of tumor immune microenvironment exist based on the presence or absence of TILs and PD-L1 expression [
5,
6,
23]. VISTA shared homology with PD-L1 and displayed a similar cell staining pattern. In this study, we classified HCC immune microenvironments based on VISTA and CD8 + TILs. We had identified different prognoses among the 4 immune subtypes. Patients with positive VISTA and CD8 expression showed a significantly longer OS than either VISTA- or CD8-positive, or both VISTA- and CD8-negative patients. Previous studies demonstrated PD-L1 positive with presence of TILs mostly induce by interferon-gamma (IFN-γ) mediated pathways that confer adaptive immune resistance [
24,
25]. Whether VISTA can be induced by IFN-γ or other cytokines released from infiltrating T lymphocytes was unknown. Further study should clarify the genomic and immune profiles of HCC TMEs based on VISTA and CD8 + TILs.
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