Thread by @EricTopol

Cataloguing #Cancer: The day after #WorldCancerDay2020, @nature @naturepub publishes 22 papers w/ majorl new insights from whole genome sequencing. The cover & my v brief summary of the papers; also @NatureGenet @NatureComms @NatureBiotech @nresearchnews
nature.com/collections/af…

@nature @Naturepub @NatureGenet @NatureComms @NatureBiotech @nresearchnews The primary paper here provides a great overview:
nature.com/articles/s4158…

@nature @Naturepub @NatureGenet @NatureComms @NatureBiotech @nresearchnews "The future of cancer #genomics lies in the clinic"
An even better summary of these papers and the requisite next steps in the @nature editorial nature.com/articles/d4158…

@nature @Naturepub @NatureGenet @NatureComms @NatureBiotech @nresearchnews The wealth of data was put into a deep neural network to classify #cancer origin (unknown primary site clinically ~3-5% of the time) w/ 91% accuracy
nature.com/articles/s4146… @NatureComms #AI (via passenger mutation pattern, not drivers) by @OICR_news @lincolndstein and colleagues

@nature @Naturepub @NatureGenet @NatureComms @NatureBiotech @nresearchnews @OICR_news @lincolndstein Excellent summary of the major new findings—and "just how hard #cancer will be to tame"—from the 22 papers @TheEconomist
economist.com/science-and-te…

@nature @Naturepub @NatureGenet @NatureComms @NatureBiotech @nresearchnews @OICR_news @lincolndstein @TheEconomist I think the most interesting paper is the one on #cancer #cancer, "molecular time"
"This is direct evidence that the life history of almost
every cell in the human body, including those that develop into cancer, is driven by somatic evolution."
nature.com/articles/s4158…