Pool every multi-sample tumour genome into one open evolution atlas
Several big projects have sequenced the same tumours at different times and places, but their data sit apart. Bringing them together with common analysis would show general rules of how cancers evolve.
TRACERx, PEACE, Hartwig, PCAWG and dozens of institutional cohorts hold multi-region or longitudinal genomes with treatment history, each analysed with different phylogeny tools. A federated atlas with a common clonal-reconstruction pipeline, harmonised treatment annotations and an open query interface would allow questions such as which drivers are always truncal, which resistance routes are convergent, and how fast clones expand under each drug.
- Tumour heterogeneity and clonal evolution · A tumour is many tumours. Treatments that kill most cells leave the rest to grow back, changed.
- Data silos · Records, scans, genomes and outcomes sit in separate systems that cannot talk. Every patient's experience is lost to the next.
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not linked directly; found by shared links- IdeaBank three spatially separate tumour blocks from every resection
Shares The Francis Crick Institute, Tumour heterogeneity and clonal evolution, Whole-exome & whole-genome sequencing, Cancer Research UK.
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- InstitutionWellcome
Shares The Francis Crick Institute, Whole-exome & whole-genome sequencing, Cancer Research UK, Data silos.
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- PersonGad Getz
Shares Broad Institute of MIT and Harvard, Whole-exome & whole-genome sequencing.
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Shares The Francis Crick Institute, Tumour heterogeneity and clonal evolution, Whole-exome & whole-genome sequencing, Cancer Research UK.
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- IdeaA precompetitive consortium for the twenty hardest cancer targets
Shares Broad Institute of MIT and Harvard, Cancer Research UK.