tooluniverse-precision-oncology

20
3
Source

Provide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance mechanisms, matches clinical trials. Use when oncologist asks about treatment options for specific mutations (EGFR, KRAS, BRAF, etc.), therapy resistance, or clinical trial eligibility.

Install

mkdir -p .claude/skills/tooluniverse-precision-oncology && curl -L -o skill.zip "https://mcp.directory/api/skills/download/1949" && unzip -o skill.zip -d .claude/skills/tooluniverse-precision-oncology && rm skill.zip

Installs to .claude/skills/tooluniverse-precision-oncology

About this skill

Precision Oncology Treatment Advisor

Provide actionable treatment recommendations for cancer patients based on their molecular profile using CIViC, ClinVar, OpenTargets, ClinicalTrials.gov, and structure-based analysis.

KEY PRINCIPLES:

  1. Report-first - Create report file FIRST, update progressively
  2. Evidence-graded - Every recommendation has evidence level
  3. Actionable output - Prioritized treatment options, not data dumps
  4. Clinical focus - Answer "what should we do?" not "what exists?"
  5. English-first queries - Always use English terms in tool calls (mutations, drug names, cancer types), even if the user writes in another language. Only try original-language terms as a fallback. Respond in the user's language

When to Use

  • "Patient has [cancer] with [mutation] - what treatments?"
  • "What are options for EGFR-mutant lung cancer?"
  • "Patient failed [drug], what's next?"
  • "Clinical trials for KRAS G12C?"
  • "Why isn't [drug] working anymore?"

Phase 0: Tool Verification

ToolWRONGCORRECT
civic_get_variantvariant_nameid (numeric)
civic_get_evidence_itemvariant_idid
OpenTargets_*ensemblIDensemblId (camelCase)
search_clinical_trialsdiseasecondition

Workflow Overview

Input: Cancer type + Molecular profile (mutations, fusions, amplifications)

Phase 1: Profile Validation -> Resolve gene IDs (Ensembl, UniProt, ChEMBL)
Phase 2: Variant Interpretation -> CIViC, ClinVar, COSMIC, GDC/TCGA, DepMap, OncoKB, cBioPortal, HPA
Phase 2.5: Tumor Expression -> CELLxGENE cell-type expression, ChIPAtlas regulatory context
Phase 3: Treatment Options -> OpenTargets + DailyMed (approved), ChEMBL (off-label)
Phase 3.5: Pathway & Network -> KEGG/Reactome pathways, IntAct interactions
Phase 4: Resistance Analysis -> CIViC + PubMed + NvidiaNIM structure analysis
Phase 5: Clinical Trials -> ClinicalTrials.gov search + eligibility
Phase 5.5: Literature -> PubMed, BioRxiv/MedRxiv preprints, OpenAlex citations
Phase 6: Report Synthesis -> Executive summary + prioritized recommendations

Key Tools by Phase

Phase 1: Profile Validation

  • MyGene_query_genes - Resolve gene to Ensembl ID
  • UniProt_search - Get UniProt accession
  • ChEMBL_search_targets - Get ChEMBL target ID

Phase 2: Variant Interpretation

  • civic_search_variants / civic_get_variant - CIViC evidence
  • COSMIC_get_mutations_by_gene / COSMIC_search_mutations - Somatic mutations
  • GDC_get_mutation_frequency / GDC_get_ssm_by_gene - TCGA patient data
  • GDC_get_gene_expression / GDC_get_cnv_data - Expression and CNV
  • DepMap_get_gene_dependencies / DepMap_get_drug_response - Target essentiality
  • OncoKB_annotate_variant / OncoKB_get_gene_info - Actionability
  • cBioPortal_get_mutations / cBioPortal_get_cancer_studies - Cross-study data
  • HPA_search_genes_by_query / HPA_get_comparative_expression_by_gene_and_cellline - Expression

Phase 2.5: Tumor Expression

  • CELLxGENE_get_expression_data / CELLxGENE_get_cell_metadata - Cell-type expression

Phase 3: Treatment Options

  • OpenTargets_get_associated_drugs_by_target_ensemblId - Approved drugs
  • DailyMed_search_spls - FDA label details
  • ChEMBL_get_drug_mechanisms_of_action_by_chemblId - Drug mechanism

Phase 3.5: Pathway & Network

  • kegg_find_genes / kegg_get_gene_info - KEGG pathways
  • reactome_disease_target_score - Reactome disease relevance
  • intact_get_interaction_network - Protein interactions

Phase 4: Resistance Analysis

  • civic_search_evidence_items - Resistance evidence (clinical_significance="Resistance")
  • PubMed_search_articles - Resistance literature
  • NvidiaNIM_alphafold2 / NvidiaNIM_diffdock - Structure-based analysis

Phase 5: Clinical Trials

  • search_clinical_trials - Find trials (param: condition, NOT disease)
  • get_clinical_trial_eligibility_criteria - Eligibility details

Phase 5.5: Literature

  • PubMed_search_articles - Published evidence
  • BioRxiv_search_preprints / MedRxiv_search_preprints - Preprints (flag as NOT peer-reviewed)
  • openalex_search_works - Citation analysis

References

tooluniverse-drug-research

mims-harvard

Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections. Covers identity, chemistry, pharmacology, targets, clinical trials, safety, pharmacogenomics, and ADMET properties. Use when users ask about drugs, medications, therapeutics, or need drug profiling, safety assessment, or clinical development research.

213

tooluniverse-pharmacovigilance

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Analyze drug safety signals from FDA adverse event reports, label warnings, and pharmacogenomic data. Calculates disproportionality measures (PRR, ROR), identifies serious adverse events, assesses pharmacogenomic risk variants. Use when asked about drug safety, adverse events, post-market surveillance, or risk-benefit assessment.

202

drug-repurposing

mims-harvard

Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, bioactivity, safety profiles, and literature evidence. Use when exploring drug repurposing opportunities, finding new indications for approved drugs, or when users mention drug repositioning, off-label uses, or therapeutic alternatives.

202

tooluniverse-expression-data-retrieval

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Retrieves gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation, experiment quality assessment, and structured reports. Creates comprehensive dataset profiles with metadata, sample information, and download links. Use when users need expression data, omics datasets, or mention ArrayExpress (E-MTAB, E-GEOD) or BioStudies (S-BSST) accessions.

172

tooluniverse-target-research

mims-harvard

Gather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug interactions, and literature. Features collision-aware searches, evidence grading (T1-T4), explicit Open Targets coverage, and mandatory completeness auditing. Use when users ask about drug targets, proteins, genes, or need target validation, druggability assessment, or comprehensive target profiling.

52

tooluniverse-literature-deep-research

mims-harvard

Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Default deliverable is a report file; for single factoid questions, uses a fast verification mode and may include an inline answer. Use when users need thorough literature reviews, target profiles, or to verify specific claims from the literature.

122

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