“Wildly Heterogeneous Genes”

New approach subtypes cancers by shared genetic effects; a step toward personalized medicine

Cancer tumors almost never share the exact same genetic mutations, a fact that has confounded scientific efforts to better categorize cancer types and develop more targeted, effective treatments.

In a paper published in the September 15 advanced online edition of Nature Methods, researchers at the University of California, San Diego propose a new approach called network-based stratification (NBS), which identifies cancer subtypes not by the singular mutations of individual patients, but by how those mutations affect shared genetic networks or systems. … Read the full story from the UCSD Newsroom


Trey Ideker, PhDLead investigator in the study is Trey Ideker, PhD, professor of medicine and bioengineering and chief of the Division of Medical Genetics in the Department of Medicine.

Postdoctoral researcher Hannah K. Carter and hematology/oncology fellow John P. Shen are the other Department of Medicine coauthors.

Citation for the study report:  Matan Hofree, John P Shen, Hannah Carter, Andrew Gross, Trey Ideker. Network-based stratification of tumor mutations. Nature Methods (2013) doi:10.1038/nmeth.2651. |  Full text (UCSD only)

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