Barcode patient-derived tumours to watch which clones win under each drug
Tag every cell in a patient's lab-grown tumour with a unique DNA label, give it a drug, and read the labels to see which cells survive. This predicts which resistant clone will emerge.
Lentiviral cellular barcoding of organoids or PDX models allows quantitative clonal tracking under therapy. Applied to patient avatars before treatment, it would measure the pre-existing resistant clone fraction and fitness under candidate drugs, prioritising combinations that suppress all high-fitness clones rather than the bulk.
- Tumour heterogeneity and clonal evolution · A tumour is many tumours. Treatments that kill most cells leave the rest to grow back, changed.
- Preclinical models that do not predict people · Nine in ten cancer drugs that work in mice fail in humans. Our models are the reason.
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not linked directly; found by shared links- InstitutionThe Jackson Laboratory Cancer Center
Shares Patient-derived xenografts, CRISPR functional genomics, Preclinical models that do not predict people.
- IdeaEvery resistance mechanism found in a patient must be rebuilt in the laboratory
Shares CRISPR functional genomics, Drug resistance (primary and acquired), Preclinical models that do not predict people.
- IdeaMake in vivo metastasis screens a required step in drug discovery
Shares Patient-derived xenografts, CRISPR functional genomics, Patient-derived organoids, Preclinical models that do not predict people.
- IdeaMake bespoke mouse cancer models in weeks with in vivo gene editing
Shares Patient-derived xenografts, CRISPR functional genomics, 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.
- IdeaAn open model of every cancer cell state, built from perturbation atlases
Shares CRISPR functional genomics, Patient-derived organoids, Tumour heterogeneity and clonal evolution, 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.
- IdeaAn open atlas of collateral sensitivity for every approved targeted drug
Shares CRISPR functional genomics, Drug resistance (primary and acquired), Tumour heterogeneity and clonal evolution.