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cancer-metabolism-agent

Maintainer FreedomIntelligence · Last updated April 1, 2026

Analyze tumor metabolic reprogramming from transcriptomic and metabolomic data.

OpenClawNanoClawAnalysisReproductioncancer-metabolism-agent🧠 bioos extended suiteoncology & precision medicine agentsanalyze

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

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

Skill Snapshot

2 min

The Cancer Metabolism Agent analyzes tumor metabolic reprogramming to identify vulnerabilities for therapeutic targeting. It integrates metabolomics, transcriptomics, and flux analysis to characterize Warburg effect, glutamine addiction, lipid synthesis, and other cancer-specific metabolic alterations.
When analyzing tumor metabolomic profiles to identify metabolic phenotypes.
To identify metabolic vulnerabilities as therapeutic targets.
For predicting response to metabolism-targeting drugs (metformin, 2-DG, CB-839).
When integrating metabolomics with transcriptomics for pathway analysis.

Source Doc

Metabolic Phenotyping: Classify tumors by dominant metabolic programs (glycolytic, oxidative, lipogenic).
Warburg Effect Quantification: Measure aerobic glycolysis and lactate production signatures.
Glutamine Dependency Analysis: Identify glutamine-addicted tumors vulnerable to GLS inhibitors.
Lipid Metabolism Profiling: Analyze de novo lipogenesis and fatty acid oxidation.
Metabolic Flux Analysis: Integrate 13C tracer data for pathway flux quantification.
Drug Sensitivity Prediction: Predict response to metabolism-targeting therapeutics.

Pathway	Key Enzymes	Cancer Relevance	Therapeutic Targets
Glycolysis	HK2, PKM2, LDHA	Warburg effect	2-DG, lonidamine
Glutaminolysis	GLS1, GDH	Nitrogen/carbon source	CB-839, BPTES
Fatty acid synthesis	FASN, ACC, ACLY	Membrane biogenesis	TVB-2640, ND-646
Oxidative phosphorylation	Complex I-V	OXPHOS tumors	Metformin, IACS-010759
One-carbon metabolism	SHMT, MTHFD	Nucleotide synthesis	Methotrexate
Serine synthesis	PHGDH, PSAT1	Amino acid auxotrophy	NCT-503

Input: Metabolomics data (LC-MS, GC-MS), RNA-seq expression, clinical annotations.
Normalization: Process metabolomics data with appropriate normalization.
Pathway Scoring: Calculate metabolic pathway activity scores.
Phenotype Classification: Assign metabolic phenotype clusters.
Vulnerability Identification: Identify metabolic dependencies.
Drug Matching: Predict sensitivity to metabolism-targeting agents.
Output: Metabolic phenotype, pathway activities, therapeutic recommendations.

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