Gut Microbiome Functional Pathways Predicting ICI Response in NSCLC Patients

77 Japanese patients with non-small cell lung cancer receiving immune checkpoint inhibitors had pretreatment fecal samples profiled via 16S rRNA sequencing. Feifei Wei authored this study, which compares taxonomic versus functional gut microbiome features for predicting clinical outcomes. The data was last updated on 2026-05-15.

Use Cases

• Predicting immune checkpoint inhibitor treatment response based on MetaCyc pathway features.
• Comparing the predictive power of taxonomic versus functional microbiome profiles for clinical outcomes.
• Developing interpretable machine learning models using SHAP analysis on microbial metabolic pathways.
• Investigating the role of nitrogen metabolism and short-chain fatty acid biosynthesis pathways in immunotherapy.

Strengths

• Includes data from 77 patient samples, providing a basis for analysis.
• Compares six distinct feature sets (three taxonomic, three functional) for multiple clinical outcomes.
• Employs nested internal and external validation and SHAP analysis for model interpretability.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is small in size (478.2 KB), indicating limited scope.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Pretreatment fecal samples from patients profiled using 16S rRNA sequencing.

Freshness

Last updated 2026-05-15 04:21:47; freshness should be verified.

Geography

Japan