← BioTransfer GEO Dataset Finder
GEO series

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

GSE314812 Homo sapiens (human) RNA-seq (gene expression) 55 samples Submitted 2026/02/23 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 55 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Topic
Gastric cancerThis series is part of our curated briefing on it.
Samples
55 samples: 5 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
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.
Read the full summary ↓
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.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE314812_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1392638 and SRA study SRP657479. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in duplicate
GC Peritoneal metastatic tumor, patient GC ×24 GC Primary tumor, patient GC ×17 NAT, patient GC ×6 GC Omentum metastatic tumor, patient GC ×2 GC Lymph node metastatic tumor, patient GC ×2 GC Primary tumor, patient GC05a ×1 GC Peritoneal metastatic tumor, patient GC05a ×1 GC Primary tumor, patient GC05b ×1 +1 more

Supports a between-group comparison across 51 samples.

How we read this: 5 replicated groups read from 55 sample titles; they account for 51 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 15 more — browse all 55 samples with per-sample file links →

More Gastric cancer 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.