Spatial Transcriptomic Biomarkers for Gastric Cancer Immunochemotherapy Response

Xiaohong Xu published a dataset on figshare in 2026 containing spatial transcriptomic profiling data from 19 locally advanced gastric cancer patients. The data, derived from pretreatment biopsies analyzed via digital spatial profiling, identifies biomarkers associated with response to neoadjuvant immunochemotherapy. Findings were validated in an independent cohort of 20 patients and correlated with survival data from TCGA-STAD.

Use Cases

• Predicting major pathological response to neoadjuvant immunochemotherapy based on spatial gene expression patterns.
• Analyzing compartment-specific transcriptional programs in tumor center, immune infiltration, and stromal regions.
• Validating biomarker signatures (e.g., NOTUM, SERPINA3, CD8+ T cell density) for clinical outcome prediction.
• Correlating spatial TME features with long-term survival using integrated TCGA-STAD data.

Strengths

• Data is spatially resolved, enabling compartment-specific analysis of the tumor microenvironment.
• Findings were validated in an independent clinical cohort of 20 patients.
• Includes correlation with survival outcomes from the public TCGA-STAD dataset.

Limitations

• The dataset is small, with primary data from only 19 patients.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Digital spatial profiling (NanoString GeoMx) on pretreatment endoscopic biopsies.

Freshness

Last updated 2026-05-14 04:26:49