Tooluniverse Precision Oncology

What it does

The Tooluniverse Precision Oncology skill leverages AI to provide treatment recommendations for cancer patients based on their molecular profiles. It analyzes data from CIViC, ClinVar, OpenTargets, ClinicalTrials.gov, and structure-based analysis, adhering to a strict evidence hierarchy to ensure clinically sound suggestions. The tool prioritizes FDA-approved therapies and incorporates current NCCN guidelines and recent literature updates for accurate and up-to-date advice.

When to use it

• When needing treatment options based on specific cancer mutations (e.g., EGFR exon 19 del, ALK fusion).
• To understand potential resistance mechanisms when a patient progresses on targeted therapy.
• For guidance on biomarker-to-drug mappings for various cancers including NSCLC, Breast, Colorectal and Melanoma.
• When seeking to verify current approval status of therapies before making treatment decisions.
• To identify whether progression is due to primary or acquired resistance mechanisms.

Key capabilities

• Treatment Recommendation: Provides actionable treatment recommendations based on molecular profiles.
• Evidence Hierarchy Adherence: Follows a strict ranking system for therapy selection (FDA approval > clinical trials > off-label use).
• Database Integration: Utilizes CIViC, ClinVar, OpenTargets, ClinicalTrials.gov, and OncoKB data sources.
• Biomarker-to-Drug Mapping: Offers established mappings between biomarkers and targeted therapies.
• Resistance Mechanism Reasoning: Differentiates primary from acquired resistance mechanisms and identifies common patterns.

Example prompts

• "What are the treatment options for a patient with NSCLC and an EGFR exon 19 deletion?"
• "My patient progressed on osimertinib. What are potential resistance mechanisms I should investigate?"
• "What is the recommended therapy for a breast cancer patient with a BRCA1 mutation?"

Tips & gotchas

• Prioritize CIViC and OncoKB: When researching treatments, consult these databases before searching PubMed.
• Stay Updated: Treatment guidelines and approvals change rapidly; always verify current information.
• Adhere to the Evidence Hierarchy: Avoid recommending off-label therapies when approved options exist.