Multi-Omics Data from 88 Advanced Gastric Cancer Patients in Northwest China

Northwest China data from 88 advanced gastric cancer patients, featuring paired tumor and peritumoral tissue samples. Anqi Wang published this dataset in April 2026, containing integrated transcriptomic and shotgun metagenomic sequencing results. The 6.5 MB Excel file includes findings on 8,870 differentially expressed genes and correlations with differentially abundant bacterial species.

Use Cases

• Identify host gene expression signatures distinguishing tumor from peritumoral tissue based on the 8,870 differentially expressed genes.
• Analyze correlations between host gene expression and specific bacterial species like Serratia surfactantfaciens and Pseudomonas protegens.
• Investigate the influence of Helicobacter pylori infection or Lauren classification subtypes on transcriptomic profiles.
• Explore functional enrichment of gene sets in pathways such as extracellular matrix organization, PI3K-Akt signaling, or metabolic processes.

Strengths

• Includes data from 88 patient samples, providing a substantive cohort size.
• Features paired tumoral and peritumoral tissue samples, enabling within-patient comparisons.
• Integrates two omics layers: transcriptomic and shotgun metagenomic sequencing.
• Analysis identifies 8,870 differentially expressed genes and 13,199 significant host-microbe correlations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the Northwest Chinese patient cohort.

Provenance

Source

figshare, author Anqi Wang.

Collection Method

Transcriptomic and shotgun metagenomic sequencing on paired tissue samples.

Time Range

Collection date not specified; dataset published April 2026.

Freshness

Last updated 2026-04-20 05:23:09; freshness should be verified.

Geography

Northwest China.