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Random gene sets can predict breast cancer survival better than supposedly cancer-related ones

Discover how random gene sets can predict breast cancer survival more effectively than traditional gene expression signatures.

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I’ve written a few guest posts for the Faculty of 1000’s Naturally Selected blog, covering some interesting papers from last year that I missed here. There’s one about how eggs greet sperm, and another on how sleeping alone affects newborn babies. But the third post is one that I particularly want to draw attention to – it’s about a cancer paper that didn’t get much notice last year, but seems to deserve it. Here’s the first bit:

Tumours are bundles of cells that grow and divide uncontrollably, and their genes are deployed in unusual ways. By analysing the genes from different tumour samples, scientists have tried to pin down the chaotic events that lead to cancer. They seem to be making headway. Dozens of papers have reported “gene expression signatures” that predict the risk of dying or surviving from cancer, and new ones come out every month. These signatures purportedly ...

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