CMU researchers find new way of tracking breast cancer
Source: Kris B. Mamula
Carnegie Mellon University computer scientists have devised a way of understanding how gene networks are rewired as normal breast cells turn malignant.
The research, which included collaboration with breast cancer biologists at Lawrence Berkeley National Laboratory, also revealed how malignant cells respond to potential cancer drugs. The research could provide new insights into cancer and identify the most promising molecular targets for drug therapy. The researchers also were able to see how changes in the gene networks led breast cancer cells to develop resistance to several drug treatments, which were being evaluated for targeted therapy.
Wei Wu, associate research professor at CMU’s Lane Center for Computational Biology, and Eric Xing, professor of machine learning at CMU, and Mina Bissell, a breast cancer researcher at the Berkley lab, studied breast cancer cells using a 3-D cell culturing technique, which was developed at Bissell’s lab. The research team also included Ankur Parikh, a student in CMU’s Machine Learning Department.
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