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microbiome-cancer-agent

Maintainer FreedomIntelligence · Last updated April 1, 2026

Tumor microbiome analysis and its role in cancer progression and immunotherapy response.

OpenClawNanoClawAnalysisReproductionmicrobiome-cancer-agent🧠 bioos extended suiteoncology & precision medicine agentstumor

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/microbiome-cancer-agent

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • The Microbiome-Cancer Interaction Agent analyzes relationships between the microbiome and cancer, including tumor-associated bacteria, gut microbiome effects on immunotherapy, and microbiome-targeted therapeutic strategies.
  • When analyzing tumor microbiome composition from sequencing data.
  • To predict immunotherapy response based on gut microbiome profiles.
  • For identifying microbiome-based biomarkers in cancer.
  • When assessing antibiotic impact on cancer treatment efficacy.

Source Doc

Excerpt From SKILL.md

Core Capabilities

  1. Tumor Microbiome Analysis: Profile intratumoral bacteria from tumor sequencing data.

  2. Gut-Cancer Axis: Analyze fecal microbiome associations with cancer outcomes.

  3. ICI Response Prediction: Predict checkpoint inhibitor response from microbiome.

  4. Metabolite Profiling: Link microbial metabolites to cancer phenotypes.

  5. Antibiotic Impact: Model antibiotic effects on treatment efficacy.

  6. FMT/Probiotic Design: Support microbiome-modulating interventions.

Microbiome-Cancer Associations

Cancer TypeKey BacteriaAssociation
ColorectalFusobacterium nucleatumPromotion, poor prognosis
ColorectalBacteroides fragilis (ETBF)Carcinogenesis
GastricHelicobacter pyloriEstablished carcinogen
PancreaticGammaproteobacteriaDrug metabolism
BreastFusobacteriumMetastasis
OralPorphyromonas gingivalisOral SCC

Workflow

  1. Input: 16S/shotgun metagenomics, tumor sequencing, clinical data.

  2. Taxonomy Profiling: Identify bacterial composition at genus/species level.

  3. Diversity Analysis: Calculate alpha and beta diversity metrics.

  4. Association Testing: Correlate microbiome with outcomes.

  5. Functional Prediction: Infer metabolic potential (PICRUSt2, HUMAnN).

  6. Prediction Modeling: Build response prediction models.

  7. Output: Microbiome profile, associations, predictions, interventions.

Use cases

  • Use microbiome-cancer-agent for clinical, translational, or medical research tasks.
  • Apply microbiome-cancer-agent when healthcare-specific guidance is required.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • Metagenomics - For general microbiome analysis
  • Immune_Checkpoint_Combination_Agent - For ICI optimization
  • Metabolomics - For metabolite analysis

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