A dataset from a study of 19 locally advanced gastric cancer patients treated with neoadjuvant immunochemotherapy. It contains spatial transcriptomic profiling data from pretreatment biopsies, integrated with TCGA-STAD data and validated in an independent cohort of 20 patients. The data was published by Xiaohong Xu on figshare in 2026.
Use Cases
- Identify predictive biomarkers for neoadjuvant immunochemotherapy response based on spatial TME features.
- Analyze compartment-specific transcriptional programs based on tumor center, immune cell infiltration, and stromal regions.
- Validate gene signatures associated with patient survival based on integration with TCGA-STAD data.
- Correlate immune cell infiltration patterns with pathological response based on CD8+ T cell and Treg data.
Strengths
- Data is spatially resolved, enabling compartment-specific analysis of tumor, immune, and stromal regions.
- Findings were validated in an independent cohort of 20 patients.
- Integrated with TCGA-STAD data for broader genomic context.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is very small at 13.6 KB, indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Digital spatial profiling (DSP) using the NanoString GeoMx platform on pretreatment endoscopic biopsies.
- Freshness
- Last updated 2026-05-14 04:26:50; freshness should be verified.