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Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
Maintainer FreedomIntelligence · Last updated April 1, 2026
Tumor microbiome analysis and its role in cancer progression and immunotherapy response.
Original source
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/microbiome-cancer-agent
Skill Snapshot
Source Doc
Tumor Microbiome Analysis: Profile intratumoral bacteria from tumor sequencing data.
Gut-Cancer Axis: Analyze fecal microbiome associations with cancer outcomes.
ICI Response Prediction: Predict checkpoint inhibitor response from microbiome.
Metabolite Profiling: Link microbial metabolites to cancer phenotypes.
Antibiotic Impact: Model antibiotic effects on treatment efficacy.
FMT/Probiotic Design: Support microbiome-modulating interventions.
| Cancer Type | Key Bacteria | Association |
|---|---|---|
| Colorectal | Fusobacterium nucleatum | Promotion, poor prognosis |
| Colorectal | Bacteroides fragilis (ETBF) | Carcinogenesis |
| Gastric | Helicobacter pylori | Established carcinogen |
| Pancreatic | Gammaproteobacteria | Drug metabolism |
| Breast | Fusobacterium | Metastasis |
| Oral | Porphyromonas gingivalis | Oral SCC |
Input: 16S/shotgun metagenomics, tumor sequencing, clinical data.
Taxonomy Profiling: Identify bacterial composition at genus/species level.
Diversity Analysis: Calculate alpha and beta diversity metrics.
Association Testing: Correlate microbiome with outcomes.
Functional Prediction: Infer metabolic potential (PICRUSt2, HUMAnN).
Prediction Modeling: Build response prediction models.
Output: Microbiome profile, associations, predictions, interventions.
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