Data Sheet 2_Integrated multi-omics profiling reveals phenotype- and tissue-specific host-

88 advanced gastric cancer patients from Northwest China contributed paired tumoral and peritumoral mucosal tissues for transcriptomic and shotgun metagenomic sequencing. The dataset reveals 8870 differentially expressed genes and correlations with differentially abundant bacterial species. Author Anqi Wang published the data on figshare under a CC-BY-4.0 license, with a last update in April 2026.

Use Cases

• Identify host gene expression signatures distinguishing tumor and peritumoral tissue based on 8870 differentially expressed genes.
• Analyze correlations between host gene expression and specific bacterial species like Serratia surfactantfaciens and Pseudomonas protegens.
• Investigate phenotype-specific regulation of host gene expression based on Lauren classification subtypes mentioned in the description.
• Explore the functional potential of the gastric mucosal microbiota in relation to host pathways like ECM organization and immune signaling.

Strengths

• Includes data from 88 patient samples, providing a specific cohort size.
• Features paired samples from both tumoral and peritumoral tissues for within-patient comparison.
• Integrates two omics layers: transcriptomic and shotgun metagenomic sequencing.
• Analysis identified 8870 differentially expressed genes and 13199 significant host-microbe correlations, indicating a detailed analytical scope.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is small at 52.8 KB, suggesting it may contain summary results rather than raw sequencing data.
• Geographic focus is specific to Northwest China, which may limit generalizability.

Provenance

Source

figshare, author Anqi Wang.

Collection Method

Transcriptomic and shotgun metagenomic sequencing on paired tumoral and peritumoral mucosal tissues.

Freshness

Last updated 2026-04-20 05:23:12; freshness should be verified.

Geography

Northwest China.