eThe Epstein-Barr virus (EBV) BNLF2a gene product provides immune evasion properties to infected cells through inhibition of transporter associated with antigen processing (TAP)-mediated transport of antigen peptides. Although BNLF2a is considered to be a lytic gene, we demonstrate that it is expressed in nearly half of the EBV-associated gastric carcinomas analyzed. Further, we show that BNLF2a expression is dissociated from lytic gene expression. BNLF2a is therefore expressed in this latency setting, potentially helping protect the infected tumor cells from immunosurveillance.
The early lytic gene BNLF2a plays an integral role in evading immune recognition of Epstein-Barr virus (EBV)-infected cells undergoing lytic replication, a setting where substantial numbers of viral antigens are expressed (1-7). BNLF2a functions through inhibition of peptide loading onto major histocompatibility complex (MHC) class I molecules, thereby blocking antigen presentation to cytotoxic T lymphocytes (2-7). In contrast to the lytic phase of the EBV infection cycle, latent infection typically results in a highly restricted pattern of gene expression where primarily noncoding RNAs and a minimal number of viral proteincoding genes are expressed, presumably lessening the dependence on overt adaptive immune inhibitory mechanisms.We previously found one of the four EBV-positive gastric carcinoma (GC) biopsy specimens from an early The Cancer Genome Atlas (TCGA) gastric adenocarcinoma cohort that unexpectedly showed expression of the viral lytic immune evasion gene BNLF2a (1). We raised the possibility that though the finding of only a single BNLF2a-positive sample may be incidental, its expression in gastric cancer could be a means of providing antitumor and/or antivirus immune responses (1).To investigate this issue further, we first performed a global virome analysis on the expanded cohort of patient GC RNA-seq (n ϭ 285) and whole-exome sequence (WXS) (n ϭ 352) data sets from TCGA (8), using a directed virome analysis approach that we have reported previously (9, 10). For this analysis, all RNA-seq and WXS data sets were aligned to an index containing the human genome (Genome Reference Consortium GRCh37) plus 740 mammalian viral genomes, using the transcript aligner STAR (Spliced Transcripts Alignment to a Reference) (11) run with default options plus the clip5pNbases 6 and outFilterMultimapNmax 1000 command options (removes the first 6 bases of each read and filters out any reads that map to more than 1,000 regions of the genome, respectively). As a way to help gauge true tumor virus association from systemic viral infection, we analyzed 33 RNA-seq TCGA data sets from matched normal gastric tissues. We also performed a virome analysis on 23 RNA-seq gastric cancer cell line data sets from the Cancer Cell Line Encyclopedia (CCLE) project (12).No substantial viral reads were detected in any of the normal gastric RNA-seq data sets ( Fig. 1A; see also Table S1 in the supplemental material). In line with TCGA marker paper (8), we identifi...