Completed Cancer Genetics & Molecular Biology

Discovery of drug-sensitizing genotypes in human cancer cells.

In plain English

AI plain-English summary

A single tumour’s genetic fingerprint can determine whether a cancer drug will work or fail, and this project will screen 1,000 cancer cell lines against hundreds of drugs to map those connections before any patient is treated. Why this matters: Right now, many cancer drugs work only in a fraction of patients, and doctors often cannot predict who will respond. The researchers will expose a broad panel of cancer cell lines to known and experimental drugs, then cross-reference each cell line’s response with its genetic profile—copy number changes, mutations, and gene expression patterns. This fills a gap between lab biology and clinical practice: we know genotype matters, but we lack systematic, pre-trial data linking specific genotypes to drug sensitivity across many cancer types. If successful, the project will produce a public catalogue of drug-sensitising genotypes. That catalogue could let oncologists match patients to treatments based on their tumour’s DNA, shifting cancer care from trial-and-error to genotype-guided prescribing. The collaboration combines automated high-throughput drug screening at Massachusetts General Hospital with large-scale genotyping and informatics at the Wellcome Trust Sanger Institute—two capabilities rarely brought together at this scale.

View original technical description
Clinical responses to anticancer therapeutics are often restricted to a subset of cases. Accumulating evidence indicates that response often correlates with a specific tumour genotype. Therefore, response rates could be substantially improved by directing treatment towards genetically-defined subsets of patients most likely to benefit. Toward this goal, we propose a scientific strategic alliance between investigators at Massachusetts General Hospital (MGH) and the Wellcome Trust Sanger Institute (WTSI) to "personalise" cancer therapy by identifying in vitro, prior to clinical trial, tumour cell genotypes that predict sensitivity to anticancer agents. We aim to expose approximately 1,000 cell lines derived from a broad spectrum of cancer classes to several hundred known and potential anticancer therapeutic agents correlating responses with genomic copy number information, cancer gene mutation data and expression data. Correlations between genotype or expression and response will then be validated in clinical specimens and will subsequently inform the design of clinical studies in which patients are stratified on the basis of a tumour genotype prior to treatment. The collaboration will develop and share the experience in automated high throughput exposure of cancer cell lines to small molecules at MGH and the background in large scale genotyping, sequencing and informatics at WTSI.

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Researchers

Mike Stratton (EPMC Awardee)

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Original classification

Strategic Award - Innovations

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