Characterization of Dysbiosis Patterns in Gut Microbiota of Digestive System Cancers

Jing Wang's systematic review synthesizes findings from 59 studies on gut microbiota changes across six digestive system cancer types. The work, updated in April 2026, analyzes patterns of microbial dysbiosis at phylum and genus levels, such as Bacillota decreases in esophageal cancer and Fusobacterium outgrowth in multiple cancers. It aims to characterize microbial signatures with potential clinical significance for early detection and therapy.

Use Cases

• Identifying microbial biomarkers for specific digestive cancers based on described phylum-level changes.
• Comparing dysbiosis patterns across cancer types (e.g., esophageal vs. colorectal) using the qualitative landscape outlined.
• Informing hypothesis generation for multiomics integration studies as suggested by the review's conclusions.

Strengths

• Synthesizes evidence from 59 included studies, providing a broad evidence base.
• Focuses on six distinct digestive system cancer types, allowing for comparative analysis.
• Uses the ROBIS tool for methodological quality assessment of included reviews.

Limitations

• The dataset is a 76.6 KB DOCX file, suggesting limited scope and likely containing only summary text rather than raw data.
• Row count and column-level documentation are absent, limiting suitability assessment for computational analysis.
• The description provides qualitative patterns but does not specify if quantitative data tables are included.

Provenance

Source

Author: Jing Wang. Platform: figshare.

Collection Method

A comprehensive systematic review of four English and three Chinese databases up to January 2025.

Time Range

Literature reviewed up to January 2025.

Freshness

Last updated 2026-04-28 05:28:12.