Data Sheet 5_Integrated multi-omics profiling reveals phenotype- and tissue-specific host-

Anqi Wang's dataset contains integrated transcriptomic and shotgun metagenomic sequencing data from paired tumoral and peritumoral mucosal tissues of 88 advanced gastric cancer patients from Northwest China. The data includes 8870 differentially expressed genes and differentially abundant bacterial species, revealing host-microbiota interactions. It was last updated on 2026-04-20 and is shared under a CC-BY-4.0 license.

Use Cases

• Identify differentially expressed genes between tumor and peritumoral tissues based on the 8870 DEGs mentioned.
• Analyze correlations between host gene expression and bacterial species abundance based on the 13199 significant correlations described.
• Investigate transcriptomic signatures associated with Lauren classification subtypes (intestinal, diffuse, mixed) as detailed in the results.
• Study the impact of Helicobacter pylori infection on host gene expression in peritumoral tissues as indicated in the findings.

Strengths

• Includes data from 88 patients, providing a specific cohort size.
• Features paired samples from both tumoral and peritumoral tissues, enabling within-patient comparisons.
• Integrates two omics layers (transcriptomics and metagenomics) for a multi-faceted view.
• Results include specific statistical findings, such as 8870 differentially expressed genes and 13199 significant correlations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is geographically focused on Northwest China, which may limit generalizability.

Provenance

Source

Anqi Wang via figshare

Collection Method

Transcriptomic and shotgun metagenomic sequencing of patient tissue samples.

Time Range

null

Freshness

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

Geography

Northwest China