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Created the mathematical framework for extracting mutational signatures from cancer genomes and the COSMIC signature catalogue.
Ludmil Alexandrov developed the computational method that decomposes cancer genomes into mutational signatures and led the 2013 Nature analysis of 7,000 cancers and the 2020 Pan-Cancer Analysis of Whole Genomes catalogue, which together define the COSMIC signatures used to infer causes such as tobacco, UV and APOBEC. His laboratory studies signatures of environmental exposures and the origins of cancer in never-smokers.
Carrying a cancer mutation is normal; most mutant clones never become cancer. This means blood or tissue tests that look for driver mutations alone will produce false positives, and that the question of what tips a mutant clone into cancer (tissue environment, further hits, immune surveillance) is as important as the mutation itself.
There are not thousands of cancer genes, and any one patient's tumour is driven by only a few of them. That makes targeted sequencing panels sensible, but because most drivers are lost tumour suppressors, drugs exist for only a minority, which is why the same group turned to early detection.
Shares Cancer genome landscapes: about 140 driver genes, and each tumour needs only a handful, Whole-exome & whole-genome sequencing and the tags genomics, mutational-signatures.
Shares Whole-exome & whole-genome sequencing and the tags genomics, computational.
Shares Whole-exome & whole-genome sequencing and the tag genomics.
Shares Whole-exome & whole-genome sequencing and the tag genomics.
Shares Whole-exome & whole-genome sequencing and the tag genomics.
Shares Whole-exome & whole-genome sequencing and the tag genomics.
Shares Whole-exome & whole-genome sequencing and the tag genomics.
Shares Whole-exome & whole-genome sequencing and the tag genomics.