← BioTransfer GEO Dataset Finder
GEO series

Divergent clonal evolution and tumor microenvironment remodeling shape gastric cancer peritoneal metastasis

GSE314812 Homo sapiens Expression profiling by high throughput sequencing 55 samples 2026/02/23 GPL24676
Summary
Gastric cancer peritoneal metastasis (GCPM) is a distinct clinical entity with a poor prognosis, characterized by aggressive features and limited treatment options. Understanding its molecular biology is critical for developing effective therapies. We performed whole genome and transcriptome sequencing on GCPM samples and paired primary gastric cancer (GC) tissues from 14 and 26 patients, respectively. Our analysis revealed substantial intra-patient heterogeneity between GCPM and primary tumors at both genetic and functional levels. Inter-patient variability was observed in mutational overlaps, with some signatures unique to either GCPM or primary tumors. Tumor evolution analysis suggested divergent clonal evolution, with distinct clones specific to GCPM or primary tumors in most patients. The tumor microenvironment (TME) was poorly conserved between primary GC and GCPM, with desert-type primary tumors often transitioning to immune-enriched TMEs in metastases. These findings suggest that immunotherapy resistance in GCPM may arise from factors beyond intrinsic TME characteristics, such as limited drug delivery due to the peritoneal-plasma barrier. Collectively, our results highlight significant molecular and TME heterogeneity between GCPM and primary tumors, emphasizing the need for GCPM-specific stratification and innovative treatment strategies to improve outcomes.
Download
NCBI GEO page ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.