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Labs usually use whichever tumour models they already have. A searchable index that finds the model closest to a specific patient's tumour would make experiments more relevant.
Thousands of characterised models exist across DepMap, the Human Cancer Models Initiative, PDX repositories and institutional banks, but selection is driven by availability and habit. A matching engine indexing molecular profiles, ancestry, treatment history and microenvironment features would return the closest available models for a given tumour profile, and quantify how much of the clinical population has any representative model at all.
Shares Broad Institute of MIT and Harvard, Patient-derived xenografts, Patient-derived organoids, Lab models that fail to predict what happens in patients.
Shares Broad Institute of MIT and Harvard, Data silos, Comprehensive genomic profiling.
Shares Patient-derived xenografts, Patient-derived organoids, Lab models that fail to predict what happens in patients.
Shares Patient-derived xenografts, Patient-derived organoids, Lab models that fail to predict what happens in patients, National Cancer Institute (NIH).
Shares Patient-derived xenografts, Patient-derived organoids, Lab models that fail to predict what happens in patients.
Shares Patient-derived xenografts, Lab models that fail to predict what happens in patients, National Cancer Institute (NIH).
Shares Patient-derived xenografts, Patient-derived organoids, Lab models that fail to predict what happens in patients.
Shares Patient-derived xenografts, Patient-derived organoids.