Oncolytic vaccinia virus JX-594 shows subtype-specific activity and candidate biomarkers in gastric cancer cell lines

Oncolytic vaccinia virus JX-594 (pexastimogene devacirepvec) selectively replicates in tumour cells and stimulates antitumour immunity; however, its therapeutic potential in gastric cancer (GC) has not been systematically evaluated. In this study, we investigated the antitumour activity of JX-594 across a panel of 49 molecularly characterized GC cell lines and a xenograft mouse model and explored molecular features associated with viral sensitivity. JX-594 induced cytopathic effects (median effective dose, ED50, 0.37 MOI (multiplicity of infection)) in a subset of gastric cancer cell lines and significantly suppressed tumour growth in vivo. Sensitivity to JX-594 varied across molecular subtypes, with microsatellite instability-high (MSI-H) cell lines showing greater susceptibility, whereas Epstein–Barr virus (EBV)–associated cell lines were relatively resistant. Transcriptomic analysis identified candidate biomarkers associated with viral sensitivity, including upregulated genes involved in G-protein signalling (GPR87, GRPR, PRDX5, MX1), interleukin production (IL1A, IL4I1), and vascular activation/dysfunction (OLR1, MMRN2), and downregulation of metastasis-related GAL3ST2. Notably, JX-594 activity was not correlated with TK1 or EGFR expression, suggesting additional determinants of viral susceptibility in GC. These findings provide preclinical evidence that molecular heterogeneity influences the response of GC to oncolytic virotherapy and support further investigation of JX-594 as a potential therapeutic strategy for gastric cancer.

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-05-19
DOI
https://doi.org/10.1038/s41598-026-51477-z
Primary Topic
Virus-based gene therapy research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oncolytic vaccinia virus JX-594 shows subtype-specific activity and candidate biomarkers in gastric cancer cell lines

Scientific Reports
Virus-based gene therapy research
article

Oncolytic vaccinia virus JX-594 shows subtype-specific activity and candidate biomarkers in gastric cancer cell lines

article en

Abstract

Oncolytic vaccinia virus JX-594 (pexastimogene devacirepvec) selectively replicates in tumour cells and stimulates antitumour immunity; however, its therapeutic potential in gastric cancer (GC) has not been systematically evaluated. In this study, we investigated the antitumour activity of JX-594 across a panel of 49 molecularly characterized GC cell lines and a xenograft mouse model and explored molecular features associated with viral sensitivity. JX-594 induced cytopathic effects (median effective dose, ED50, 0.37 MOI (multiplicity of infection)) in a subset of gastric cancer cell lines and significantly suppressed tumour growth in vivo. Sensitivity to JX-594 varied across molecular subtypes, with microsatellite instability-high (MSI-H) cell lines showing greater susceptibility, whereas Epstein–Barr virus (EBV)–associated cell lines were relatively resistant. Transcriptomic analysis identified candidate biomarkers associated with viral sensitivity, including upregulated genes involved in G-protein signalling (GPR87, GRPR, PRDX5, MX1), interleukin production (IL1A, IL4I1), and vascular activation/dysfunction (OLR1, MMRN2), and downregulation of metastasis-related GAL3ST2. Notably, JX-594 activity was not correlated with TK1 or EGFR expression, suggesting additional determinants of viral susceptibility in GC. These findings provide preclinical evidence that molecular heterogeneity influences the response of GC to oncolytic virotherapy and support further investigation of JX-594 as a potential therapeutic strategy for gastric cancer.

Scientific Reports
Yonsei University (KR), SillaJen (South Korea) (KR), CHA University Bundang Medical Center (KR), Gangnam Severance Hospital (KR), CHA University (KR)
National Research Foundation of Korea
Good health and well-being
Openalex Percentile: Top 5%
Virus-based gene therapy research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.