Gut and Oral Microbiome Data from Rectal Cancer Patients After Radiotherapy

16S rRNA sequencing data from intestinal mucosa and saliva samples of 18 rectal cancer patients, comparing a radiotherapy group (n=9) to a non-radiotherapy group (n=9). The dataset includes cytokine levels (TNF-α, IL-4, IL-6) measured via ELISA and microbial diversity indices. Data was collected by Yihao Zhang and shared on figshare in 2026.

Use Cases

• Analyzing persistent gut microbiota dysbiosis based on Chao1 diversity index and β-diversity clustering.
• Investigating oral microbiota changes post-radiotherapy based on ANOSIM R values for specific taxa.
• Correlating mucosal inflammation with microbial disruption based on IL-4, TNF-α, and IL-6 levels.
• Designing microbiome intervention studies based on evidence of incomplete recovery 12 weeks post-treatment.

Strengths

• Includes matched gut and oral microbiome samples from 18 patients, enabling a multi-site analysis.
• Provides longitudinal cytokine data (TNF-α, IL-4, IL-6) measured at specific time points (4, 8, 12 weeks).
• Reports statistically significant results (e.g., ANOSIM R = 0.614, p=0.001 for gut microbiota).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (219.4 KB), indicating a limited scope and sample size.

Provenance

Source

figshare

Collection Method

Intestinal mucosal and saliva samples were collected from patients and analyzed via 16S rRNA gene sequencing and ELISA.

Time Range

Samples were collected at baseline and at 4 ± 1, 8 ± 1, and 12 ± 1 weeks post-radiotherapy.

Freshness

Last updated 2026-05-25 04:43:17; freshness should be verified.