Functionally Assessing Candidate Drivers Advances Precision Cancer Medicine

Kenneth L. Scott; Scott Powers

doi:10.1016/j.ccell.2016.07.011

Functionally Assessing Candidate Drivers Advances Precision Cancer Medicine

Kenneth L. Scott
, Scott Powers

Pathology

Baylor College of Medicine

Research output: Contribution to journal › Short survey › peer-review

1 Scopus citations

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.

Original language	English
Pages (from-to)	187-189
Number of pages	3
Journal	Cancer Cell
Volume	30
Issue number	2
DOIs	https://doi.org/10.1016/j.ccell.2016.07.011
State	Published - Aug 8 2016

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title = "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.",

author = "Scott, \{Kenneth L.\} and Scott Powers",

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year = "2016",

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AB - 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.

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DO - 10.1016/j.ccell.2016.07.011

M3 - Short survey

C2 - 27505666

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Functionally Assessing Candidate Drivers Advances Precision Cancer Medicine

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