← ClaudeAtlas

founder-mode-oncologylisted

Personalized cancer treatment navigation — maximal diagnostics, parallel therapy, therapeutic development, structure-based protein design. Use when (1) researching cancer treatments or combinations, (2) designing diagnostic strategies, (3) evaluating neoantigen vaccines or radioligand therapies, (4) navigating FDA expanded access or IRB processes, (5) interpreting ctDNA/MRD data, (6) building bioinformatics pipelines, (7) scRNA-seq target discovery, (8) AlphaFold/RFdiffusion/ProteinMPNN for neoantigen validation or de novo binder design, (9) patient advocacy. Keywords — cancer, oncology, neoantigen, vaccine, immunotherapy, radioligand, ctDNA, scRNA-seq, FAP, AlphaFold, RFdiffusion, ProteinMPNN, personalized medicine.
broomva/skills · ★ 3 · AI & Automation · score 72
Install: claude install-skill broomva/skills
# Founder Mode Oncology Systematic framework for navigating personalized cancer treatment, generalized from Sid Sijbrandij's osteosarcoma case (2022-2026). Transforms the ad-hoc "billionaire with a team" approach into a reproducible methodology using open-source tools and structured decision-making. ## The Three-Pillar Framework ### Pillar 1: Maximal Diagnostics Run every available diagnostic modality to build a complete molecular picture. Standard clinical panels miss non-obvious targets. **Minimum diagnostic stack (in priority order):** 1. **Genomics**: WGS + WES (tumor/normal paired) — somatic mutations, CNV, structural variants 2. **Transcriptomics**: Bulk RNA-seq + scRNA-seq (tumor + PBMCs) — gene expression, immune landscape, non-obvious targets 3. **Liquid biopsy**: ctDNA (tumor-informed, e.g. Signatera) + methylation-based (e.g. Northstar) — real-time monitoring 4. **Functional testing**: Organoid drug testing + mass response assays — empirical drug sensitivity 5. **Imaging**: Standard (CT/MRI) + novel PET tracers (68Ga-FAP, 68Ga-B7H3) — target validation 6. **Flow cytometry**: B/T cell subsets — immune status tracking **Critical insight**: scRNA-seq reveals targets that standard panels miss. In the reference case, scRNA-seq identified FAP overexpression in osteosarcoma — invisible to gene panels and WES — enabling the breakthrough radioligand therapy. **Tissue handling**: Always request cryopreserved (flash-frozen) samples alongside FFPE. FFPE destroys RNA qu