New Approach Subtypes Cancers by Shared Genetic Effects

Cancer

Cancer tumors are like snowflakes—no two ever share the same genetic mutations. Their unique characteristics make them difficult to categorize and treat. A new approach proposed by Trey Ideker and his team at the University of California, San Diego, might offer a solution. Their approach, called network-based stratification (NBS), identifies cancer subtypes by how different mutations in different cancer patients affect the same biological networks, such as genetic pathways. As proof of principle, they applied the method to ovarian, uterine and lung cancer data to obtain biological and clinical information about mutation profiles. Such cancer subtyping shows promise in helping to develop more effective, personalized treatments.

Learn more:

University of California, San Diego News Release Exit icon
Ideker Lab Exit icon

Post a Comment

Required fields are marked *

You may post as "anonymous." Your e-mail address will not be published; we may use it to contact you about your comment.

*

Please note: Comment moderation is enabled and may delay your comment. There is no need to resubmit your comment.