Using big data to better understand cancerous mutations

Using big data to better understand cancerous mutations

2 years ago
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https://www.sciencedaily.com/releases/2022/07/220705112253.htm

One of the scientists working in this new frontier of cancer research is University of Colorado Cancer Center member Ryan Layer, PhD, who recently published a study detailing his research that uses big data to find cancerous mutations in cells.

"Identifying the genetic changes that cause healthy cells to become malignant can help doctors select therapies that specifically target the tumor," says Layer, an assistant professor of computer science at CU Boulder. "For example, about 25% of breast cancers are HER2-positive, meaning the cells in this type of tumor have mutations that cause them to produce more of a protein called HER2 that helps them grow. Treatments that specifically target HER2 have dramatically increased survival rates for this type of breast cancer."

Using big data to better understand cancerous mutations

Jul 5, 2022, 5:34pm UTC
https://www.sciencedaily.com/releases/2022/07/220705112253.htm > One of the scientists working in this new frontier of cancer research is University of Colorado Cancer Center member Ryan Layer, PhD, who recently published a study detailing his research that uses big data to find cancerous mutations in cells. > "Identifying the genetic changes that cause healthy cells to become malignant can help doctors select therapies that specifically target the tumor," says Layer, an assistant professor of computer science at CU Boulder. "For example, about 25% of breast cancers are HER2-positive, meaning the cells in this type of tumor have mutations that cause them to produce more of a protein called HER2 that helps them grow. Treatments that specifically target HER2 have dramatically increased survival rates for this type of breast cancer."