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Deciphering the Complexity of MEK Mutations in the Clinic
Significant advances in tumor sequencing have led to an explosion in our knowledge of the genetic complexity of cancer. For many cancers, the selection of a targetable alteration is not readily apparent, especially when confronted with mutational variants of unknown significance. The complex clinica...
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Published in: | Cancer research (Chicago, Ill.) Ill.), 2020-10, Vol.80 (19), p.4042-4043 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Significant advances in tumor sequencing have led to an explosion in our knowledge of the genetic complexity of cancer. For many cancers, the selection of a targetable alteration is not readily apparent, especially when confronted with mutational variants of unknown significance. The complex clinical landscape of
mutations illustrates the need for improved methods to identify those patients, independent of tumor histology, who would benefit from treatment with a MAP kinase pathway inhibitor. In this issue of
, Hanrahan and colleagues adopt an
platform to attempt to distinguish benign
mutations from those that are functional and, therefore, most likely to be therapeutically actionable.
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ISSN: | 0008-5472 1538-7445 |
DOI: | 10.1158/0008-5472.CAN-20-2611 |