Functionally Assessing Candidate Drivers Advances Precision Cancer Medicine
- PMID: 27505666
- DOI: 10.1016/j.ccell.2016.07.011
Functionally Assessing Candidate Drivers Advances Precision Cancer Medicine
Abstract
The complexity of genomic alterations in cancer has made it difficult to identify oncogenic drivers for the development of targeted therapies. The study by Berger et al. in this issue of Cancer Cell demonstrates that high-throughput functional profiling can uncover impactful mutations and oncogenic driver alleles.
Copyright © 2016 Elsevier Inc. All rights reserved.
Comment on
-
High-throughput Phenotyping of Lung Cancer Somatic Mutations.Cancer Cell. 2016 Aug 8;30(2):214-228. doi: 10.1016/j.ccell.2016.06.022. Epub 2016 Jul 28. Cancer Cell. 2016. PMID: 27478040 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources