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Comparative Study
. 2024 Nov 20;12(11):e010201.
doi: 10.1136/jitc-2024-010201.

Immune microenvironment of Epstein-Barr virus (EBV)-negative compared to EBV-associated gastric cancers: implications for immunotherapy

Affiliations
Comparative Study

Immune microenvironment of Epstein-Barr virus (EBV)-negative compared to EBV-associated gastric cancers: implications for immunotherapy

Tracee L McMiller et al. J Immunother Cancer. .

Abstract

Background: Gastric carcinomas (GC) are aggressive malignancies, and only ~15% of patients respond to anti-programmed cell death (ligand) 1 (PD-(L)1) monotherapy. However, Epstein-Barr virus (EBV)-associated GCs (~5-10% of GCs) often harbor PD-L1 and PD-L2 chromosomal amplifications and robust CD8+ T cell infiltrates, and respond at a high rate to anti-PD-1. The current study compares the tumor immune microenvironments (TiMEs) of EBV+ versus EBV(-) GCs.

Methods: Over 1000 cases of primary invasive GCs were screened to identify 25 treatment-naïve specimens for study (11 EBV+, 14 EBV(-)). Quantitative immunohistochemistry (IHC) was conducted for markers of immune cell subsets and co-regulatory molecules. Gene expression profiling (GEP) was performed on RNAs isolated from macrodissected areas of CD3+ T cell infiltrates abutting PD-L1+ stromal/tumor cells, using multiplex quantitative reverse transcriptase PCR for a panel of 122 candidate immune-related genes.

Results: IHC revealed that 17/25 GCs contained PD-L1+ stromal cells, with no significant difference between EBV+/- specimens; however, only 3/25 specimens (all EBV+) contained PD-L1+ tumor cells. CD8+ T cell densities were higher in EBV+ versus EBV(-) tumors (p=0.044). With GEP normalized to the pan-leukocyte marker PTPRC/CD45, EBV+ GCs overexpressed ITGAE (CD103, marking intraepithelial T cells and a dendritic cell subset) and the interferon-inducible genes CXCL9 and IDO1. In contrast, EBV(-) tumors overexpressed several functionally-related gene groups associated with myeloid cells (CD163, IL1A, NOS2, RIGI), immunosuppressive cytokines/chemokines (CXCL2, CXCR4, IL10, IL32), coinhibitory molecules (HAVCR2/TIM-3 and VSIR/VISTA), and adenosine pathway components (ENTPD1/ CD39 and NT5E/CD73). Notably, compared with EBV+ GCs, EBV(-) GCs also overexpressed components of the cyclooxygenase 2 (COX-2)/prostaglandin E2 (PGE2) pathway associated with cancer-promoting inflammation, including PTGS2/COX-2 (most highly upregulated gene, 32-fold, p=0.005); prostaglandin receptors PTGER1 (EP1; up 21-fold, p=0.015) and PTGER4 (EP4; up twofold, p=0.022); and the major COX-2-inducing cytokine IL1B (up 11-fold, p=0.019). Consistent with these findings, COX-2 protein expression trended higher in EBV(-) versus EBV+ GCs (p=0.068).

Conclusions: While certain markers of immunosuppression are found in the GC TiME regardless of EBV status, EBV(-) GCs, which are much more common than EBV+ GCs, overexpress components of the COX-2/PGE2 pathway. These findings provide novel insights into the immune microenvironments of EBV+ and EBV(-) GC, and offer potential targets to overcome resistance to anti-PD-(L)1 therapies.

Keywords: Gastric Cancer; Gene expression profiling - GEP; Immunotherapy; Tumor microenvironment - TME.

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Conflict of interest statement

Competing interests: MY receives grant/research support (to Johns Hopkins University) from Bristol Myers Squibb, Exelixis, Incyte, and Genentech; receives honoraria and consulting fees from Genentech, Incyte, Exelixis, AstraZeneca, Replimune, Hepion, and Lantheus; is a cofounder with equity in Adventris Pharmaceuticals and has patents related to cancer vaccines, outside of the submitted work. KU-K has received stock from Bristol Myers Squibb, Pfizer, and BioNTech. KX has received stock from Bristol Myers Squibb. JMT receives consulting fees from Bristol Myers Squibb, Merck & Co, AstraZeneca, Elephas, Regeneron, Roche, Compugen, and Akoya Biosciences; has patents related to the AstroPath imaging suite; has received institutional research grants from Bristol Myers Squibb and Akoya Biosciences; and has received equipment and stock from Akoya Biosciences. RAA reports grants from RAPT Therapeutics, and personal fees from Bristol Myers Squibb, AstraZeneca, Merck, and JAZZ Oncology. SLT receives consulting fees from Bristol Myers Squibb, Dragonfly Therapeutics, PathAI, and (spouse) Amgen, Compugen, Janssen Pharmaceuticals, Normunity, RAPT Therapeutics, Regeneron, Takeda Pharmaceuticals, and Tizona LLC; receives research grants from Bristol Myers Squibb, and (spouse) Compugen and Immunomic Therapeutics; has stock options or stock in Atengen Inc., Dragonfly Therapeutics, and (spouse) DNAtrix, Dracen, ManaT Bio, RAPT Therapeutics, and Tizona LLC; and has patents related to the treatment of MSI-high cancers with anti-PD-1 and (spouse) related to T-cell regulatory molecules including LAG-3. The following authors declare no potential conflicts of interest: SB, TLM, QZ, JL, FB, LLE, and AEB.

Figures

Figure 1
Figure 1. Quantitative IHC analysis of candidate immune-related markers in EBV+ and EBV(−) GC. (A) Representative photomicrographs are displayed for each marker with IHC in different EBV+ and EBV(−) specimens. Scale bar, 100 µm. (B) Densities of immune cell subsets and co-regulatory molecules in EBV+ versus EBV(−) GCs, determined by HALO image analysis. Some specimens with limited amounts of tissue were not tested for every marker. Bars indicate mean values and SEM. P values, Wilcoxon rank-sum test. CSF-1R, colony stimulating factor 1 receptor; EBV, Epstein-Barr virus; FOXP3, forkhead box P3; GC, gastric cancer; GITR, glucocorticoid-induced tumor necrosis factor receptor family-related protein; IDO-1, indoleamine 2,3-dioxygenase 1; IHC, immunohistochemistry; PD-1, programmed cell death 1.
Figure 2
Figure 2. Semi-quantitative IHC analysis of immune cell subsets and checkpoint molecules in EBV+ versus EBV(−) GC. (A) While CD3 scores were similar in the two GC subtypes, the CD4:CD8 ratio was lower in EBV+ GC, indicating a higher density of CD8+ T cells. (B) There were no significant differences in the expression of LAG-3 among CD3+ T cells, or PD-L1 by tumor or stromal cells, in EBV+ versus EBV(−) GCs. PD-L1 expression was more prevalent on stromal cells than on tumor cells. Percent positive cells were estimated visually in 5% increments. Bars indicate mean values and SEM. P values, Wilcoxon rank-sum test. EBV, Epstein-Barr virus; GC, gastric cancer; IHC, immunohistochemistry; LAG-3, lymphocyte activating gene 3; PD-L1, programmed cell death ligand 1.
Figure 3
Figure 3. Expression of candidate immune-related genes in primary gastric cancer specimens using quantitative reverse transcriptase PCR. Heat map displays unsupervised clustering of ΔCt values normalized to immune cell content (Ct gene – Ct PTPRC) in EBV+ (n=10) and EBV(−) (n=14) GCs. Clustering on genes and samples was performed by Cluster 3.0 using city-block distance with average linkage. 122 immune-related genes and 18S are depicted. EBV, Epstein-Barr virus.
Figure 4
Figure 4. Differential expression of candidate immune-related genes in EBV+ (n=10) versus EBV(−) (n=14) primary GCs. Data were normalized to PTPRC expression using the ΔΔCt method. The vertical hatched lines represent a twofold expression difference. The horizontal hatched line represents p value=0.1, as determined by the Wilcoxon rank-sum test. EBV(−) GCs overexpressed genes associated with the cyclooxygenase 2/prostaglandin E2 pathway, including PTGS2, PTGER1, PTGER4, and IL1B. Two genes that failed to amplify in any specimen (FAM183B/CFAP144P1 and IL4) were excluded from this analysis. EBV, Epstein-Barr virus; GC, gastric cancer.
Figure 5
Figure 5. COX-2 protein expression in EBV(−) versus EBV+GCs, detected with IHC. (A) Left, COX-2 expression among tumor cells was quantified in 25% increments. There was a trend towards overexpression of COX-2 among tumor cells in EBV(−) versus EBV+ GC. P value from Wilcoxon rank-sum test (one-sided test, based on prior differential gene expression result). Right, representative H&E and COX-2 immunohistochemistry images from an EBV(−) GC. COX-2 was expressed by tumor cells (yellow star) and normal gastric epithelium (red arrow). Scale bar, 100 um. H&E, hematoxylin and eosin. (B) COX-2 and CD68 expression in serial sections of an EBV(−) GC. Expression was observed in adenocarcinoma cells (red arrow), CD68+ myeloid cells (blue arrow), and non-myeloid stromal cells. This specimen is devoid of normal gastric epithelium. Scale bar, 100 microns. COX-2, cyclooxygenase 2; EBV, Epstein-Barr virus; GC, gastric cancer.
Figure 6
Figure 6. PTGS2 (COX-2) expression in EBV(−) versus EBV+ GC and association with overall survival in TCGA. Analysis of GC transcriptional profiling from TCGA shows that EBV(−) tumors have (A) significantly higher PTGS2 expression and (B) significantly lower expression of a 13-gene inflammation score. In (A), gene expression is measured as log2TPM (transcripts per million). Standard box and whisker plot notation are used to represent the data distribution: thick horizontal line in the middle of the box for median value, box for IQR (25%–75%), and whiskers for non-outlier data range (1.5×IQR). (C) Patients whose GCs have the highest quartile of PTGS2 expression have significantly worse overall survival (OS; red line) than those whose tumors have the lowest quartile of PTGS2 expression (blue line; p=0.032). EBV, Epstein-Barr virus; GC, gastric cancer; IQR, interquartile range; OS, overall survival; TCGA, The Cancer Genome Atlas.

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