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A Class-I Act

HLA class I molecules sit at the center of a trade-off: the same allele that helps T cells kill a tumor may also raise autoimmune risk.

Core trick

Scores HLA alleles' TCR-facing surface with a sequence-derived engageability metric, then tests loss-of-heterozygosity patterns across about 50,000 tumors.

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Description

HLA class I molecules sit at the center of a trade-off: the same allele that helps T cells kill a tumor may also raise autoimmune risk. We built engageability — a new, validated, sequence-derived measure of how permissively an HLA allele's TCR-facing surface engages diverse T-cell receptors — and used it to show that immune "potency" is not one number but several independent axes. When public data proved structurally unable to answer the germline cancer-vs-autoimmunity trade-off (which we prove with an identifiability argument and a blind power analysis), we followed the statistical power to somatic immune escape across ~50,000 tumors. There the pipeline recovers the known B2M loss-of-function control and surfaces a novel, reproducible finding: a locus-wide HLA-B loss/retention hierarchy under HLA loss-of-heterozygosity, with HLA-B*58:01 the one allele individually singled out as preferentially lost (FDR 0.003) — pointing to the alleles tumors keep as escape-durable targets for TCR-based therapy.
rebeccanadler/hla-engageability★ 00 forksJupyter NotebookNOASSERTIONCreated Jul 13, 2026 · last push Jul 13, 2026

README excerpt

# arms/

One folder per experimental arm (see ../MANIFEST.md for the map). Each arm folder should contain its `results.md`, `methods.md`, figures, provenance ledger, and small derived tables. Populate with `../assemble_local.sh` or by hand.

Team