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

When to Use