At-a-Glance
- description (10-20 chars): Tumor board copilot
- keywords: oncology, genomics, OncoKB, therapy-ranking, evidence
- measurable_outcome: Deliver a ranked therapy list with OncoKB/NCCN citations plus data-gap checklist for every case within 10 minutes of receiving inputs.
Inputs
vcf_path(hg38 preferred) plus optional CNV/fusion summaries.pathology_reporttext for histology/grade/biomarkers.clinical_contextdict capturing tumor type, stage, prior lines, ECOG.
Outputs
- Ranked treatment options (approved, off-label, clinical trials) with evidence strength + contraindications.
- Variant interpretation table (pathogenicity, tier, therapy linkage).
- Biomarker summary (TMB, MSI, PD-L1 if provided) and missing-test checklist.
Workflow
- Ingest & normalize: Harmonize gene symbols, genome build, and variant effects.
- Annotate: Query OncoKB/NCCN + internal knowledge for actionability tiers.
- Contextualize: Blend pathology + prior therapy info to filter contraindicated options.
- Recommend: Present therapies ordered by evidence + patient fit; cite sources.
- Gaps: Highlight assays or confirmations still required before treatment.
Guardrails
- No autonomous treatment decisions—flag outputs as advisory.
- Cite evidence rigorously (guideline version, publication).
- Highlight resistance mechanisms and prior exposure conflicts.
References
- See
README.mdfor detailed workflow plus cited Nature Cancer study.