Cancer Variant Interpretation for Precision Oncology

Comprehensive clinical interpretation of somatic mutations in cancer. Transforms a gene + variant input into an actionable precision oncology report covering clinical evidence, therapeutic options, resistance mechanisms, clinical trials, and prognostic implications.

KEY PRINCIPLES:

1. Report-first approach - Create report file FIRST, then populate progressively
2. Evidence-graded - Every recommendation has an evidence tier (T1-T4)
3. Actionable output - Prioritized treatment options, not data dumps
4. Clinical focus - Answer "what should we treat with?" not "what databases exist?"
5. Resistance-aware - Always check for known resistance mechanisms
6. Cancer-type specific - Tailor all recommendations to the patient's cancer type when provided
7. Source-referenced - Every statement must cite the tool/database source
8. English-first queries - Always use English terms in tool calls (gene names, drug names, cancer types), even if the user writes in another language. Respond in the user's language

LOOK UP, DON'T GUESS

When uncertain about any scientific fact, SEARCH databases first (PubMed, UniProt, ChEMBL, ClinVar, etc.) rather than reasoning from memory. A database-verified answer is always more reliable than a guess.