A choreography of mutational events drives cancer cells to invade and metastasize, changing the biology in ways that enable the errant cells to resist treatments. While the traditional slash-and-burn approaches of chemotherapy and radiation attack rapidly-dividing cells, targeted treatments zero in on the altered proteins that reflect precise genetic changes in tumor cells. These are the somatic (“body”) mutations in just the affected cells, not the inherited mutations present in all of a patient’s cells.
Two new papers introduce tools to better match patients to targeted treatments or immunotherapies, based on interpreting the mutations behind a cancer’s initiation and spread. One is a machine learning tool called Cerebro, the other a scale for physicians to rank the evidence that a particular targeted treatment will work against a tumor with specific mutations.
To continue reading go to DNA Science Blog at Public Library of Science, where this post first appeared. Read More
Two new papers introduce tools to better match patients to targeted treatments or immunotherapies, based on interpreting the mutations behind a cancer’s initiation and spread. One is a machine learning tool called Cerebro, the other a scale for physicians to rank the evidence that a particular targeted treatment will work against a tumor with specific mutations.
To continue reading go to DNA Science Blog at Public Library of Science, where this post first appeared. Read More
