2603.00348 Molecular Cartography of Programmable Cell-Therapy Circuits Identifies Safe Logic-Gated Leads across Solid Tumors
We present an offline, self-verifying workflow that ranks single-antigen and logic-gated cell-therapy leads from compact frozen snapshots of TCGA-style tumor RNA, Human Protein Atlas-style normal RNA and protein, adult-only healthy single-cell data, and TISCH2-style tumor single-cell evidence in a compact indication panel. The scored path combines tumor prevalence, tumor intensity, same-malignant-cell support, surface-target confidence, off-tumor safety, and patchiness into a transparent single-target score, then proposes A AND B rescue circuits when single targets are unsafe or too heterogeneous. The contribution is not merely a list of overexpressed tumor antigens, but an executable workflow that compiles safer recognition programs after testing their safety, coverage, and rescue feasibility.