Score every preclinical model by how often it predicted the clinical result
For each type of laboratory model, keep a public record of how often its predictions came true in patients, so that researchers know which models to trust for which question.
Model predictivity is asserted, not measured. Linking preclinical efficacy claims (from publications and investigational new drug packages) to subsequent clinical outcomes would yield per-model, per-indication predictive values: for instance how often cell-line xenograft regression preceded objective responses in the same indication. Failures are essential to this calculation, which is why they must be recorded.
- Failures are hidden · Negative trials, failed drugs and abandoned programmes are rarely published, so the same mistakes are repeated.
- Preclinical models that do not predict people · Nine in ten cancer drugs that work in mice fail in humans. Our models are the reason.
Pages like this
not linked directly; found by shared links- IdeaMake in vivo metastasis screens a required step in drug discovery
Shares Cancer Models (PDCM Finder) & HCMI, Patient-derived xenografts, Patient-derived organoids, Failures are hidden.
- IdeaShared reference organoid and PDX panels that every lab can test against
Shares Cancer Models (PDCM Finder) & HCMI, Patient-derived xenografts, Patient-derived organoids, Preclinical models that do not predict people.
- IdeaA funded organoid and PDX panel as the go/no-go gate before IND-enabling money
Shares Cancer Models (PDCM Finder) & HCMI, Patient-derived xenografts, Patient-derived organoids, Preclinical models that do not predict people.
- Key paperReproducibility Project: Cancer Biology found that landmark preclinical results mostly shrank or vanished on replication
Shares Patient-derived xenografts, Patient-derived organoids, Failures are hidden, Preclinical models that do not predict people.
- IdeaAn open model bank for the rare tumours nobody has models for
Shares Cancer Models (PDCM Finder) & HCMI, Patient-derived xenografts, Patient-derived organoids, Preclinical models that do not predict people.
- IdeaBuild laboratory models of the organs cancer spreads to
Shares Patient-derived xenografts, Patient-derived organoids, Preclinical models that do not predict people.
- IdeaBarcode patient-derived tumours to watch which clones win under each drug
Shares Patient-derived xenografts, Patient-derived organoids, Preclinical models that do not predict people.
- IdeaGrow models from tumour cells in the blood when a biopsy is impossible
Shares Patient-derived xenografts, Patient-derived organoids, Preclinical models that do not predict people.