The number of mutations driving cancer varies considerably across different cancer types, says study.

‘Around half of these key mutations driving cancer occur in genes that are not yet identified as cancer genes.’

In the study, the team developed an approach to discovering which genes are implicated in cancer evolution and how many mutations in those genes drive cancer. In the future, such approaches could be used in the clinic to identify which few mutations in an individual patient are driving his or her cancer, from amongst the thousands of mutations present. 




Over 150 years ago, Charles Darwin described how different species evolve through the process of natural selection. Cancers also develop by natural selection, acting on the mutations that accumulate in the cells of our bodies over time. In this study, scientists applied an evolutionary perspective to quantifying natural selection in 7,664 tumours across 29 different cancers.
One of the striking findings of the study was that mutations are usually well-tolerated by cells in the body. This was surprising because mutations that individuals inherit from their parents are often poorly tolerated, and are generally lost from the human species over time. In the body's cells, however, as a cancer develops, nearly all mutations persist without impacting on the survival of the cell.
The team also catalogued the main cancer genes responsible for 29 different cancer types.Researchers discovered several new cancer genes and determined how complete the current lists of cancer genes are.
Dr Peter Campbell, lead author from the Wellcome Trust Sanger Institute, said: "We have addressed a long-standing question in cancer research that has been debated since the 1950s: how many mutations are needed for a normal cell to turn into a cancer cell? The answer is - a small handful. For example, about 4 mutations per patient on average drive liver cancers, whereas colorectal cancers typically require 10 or so driver mutations."
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The new methods from this study are a step forward in personalised cancer care. In the future, similar techniques could be used in the clinic to identify the specific mutations responsible for a given patient's cancer, among the thousands of mutations that are typically found in each tumour.
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Source-Eurekalert