ArticleJournal of translational medicine2024
A novel biomarker associated with EBV infection improves response prediction of immunotherapy in gastric cancer.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 6 citations in OpenAlex.
- Review
- Predictors of immunotherapy response in gastric cancer: the role of the tumor microenvironment and integrative predictive models.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Claudin18.2 positive gastric cancer: biology, tumor microenvironment, and therapeutic strategies.Journal of hematology & oncology · 2026Review
- Unlocking the potential: current landscape and future directions of immunotherapy in gastric cancer.Frontiers in immunology · 2026Review
- Pan-microbial serological repertoire as a biomarker of immunotherapy response in hepatocellular carcinoma.Journal for immunotherapy of cancer · 2025Article
- Advances in Epstein-Barr Virus Detection: From Traditional Methods to Modern Technologies.Viruses · 2025Review
- Therapeutic opportunities in EBV-positive gastric cancer subtypes.Therapeutic advances in medical oncology · 2025Review
- Classical biomarkers and non-coding RNAs associated with diagnosis and treatment in gastric cancer.Oncology research · 2025Review
- Applications of artificial intelligence in digital pathology for gastric cancer.Frontiers in oncology · 2024Review
Corrections and comments
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Authors and funding
16 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundNovel biomarkers are required in gastric cancer (GC) treated by immunotherapy. Epstein-Barr virus (EBV) infection induces an immune-active tumor microenvironment, while its association with immunotherapy response is still controversial. Genes underlying EBV infection may determine the response heterogeneity of EBV + GC. Thus, we screened hub genes associated with EBV infection to predict the response to immunotherapy in GC.
methodsPrognostic hub genes associated with EBV infection were screened using multi-omic data of GC. EBV + GC cells were established and confirmed by EBV-encoded small RNA in situ hybridization (EBER-ISH). Immunohistochemistry (IHC) staining of the hub genes was conducted in GC samples with EBER-ISH assay. Infiltrating immune cells were stained using immunofluorescence.
resultsCHAF1A was identified as a hub gene in EBV + GC, and its expression was an independent predictor of overall survival (OS). EBV infection up-regulated CHAF1A expression which also predicted EBV infection well. CHAF1A expression also predicted microsatellite instability (MSI) and a high tumor mutation burden (TMB). The combined score (CS) of CHAF1A expression with MSI or TMB further improved prognostic stratification. CHAF1A IHC score positively correlated with the infiltration of NK cells and macrophages M1. CHAF1A expression alone could predict the immunotherapy response, but its CS with EBV infection, MSI, TMB, or PD-L1 expression showed better effects and improved response stratification based on current biomarkers.
conclusionsCHAF1A could be a novel biomarker for immunotherapy of GC, with the potential to improve the efficacy of existing biomarkers.
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