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Comment
. 2021 Nov 12;2(11):1201-1202.
doi: 10.1016/j.medj.2021.10.005.

Targeting more precisely: Improving sensitivity to EGFR inhibitors in NSCLC

Arjan Gower  1 , Edward B Garon  2
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Free article
Comment

Targeting more precisely: Improving sensitivity to EGFR inhibitors in NSCLC

Arjan Gower et al. Med. .
Free article

Abstract

The therapeutic landscape of epidermal growth factor receptor (EGFR)-mutation-positive non-small cell lung cancer (NSCLC) is continually evolving. A recent manuscript in Nature by Robichaux and colleagues1 reports on a structure-based classification of EGFR mutations to help predict sensitivities to EGFR inhibitors in NSCLC that may ultimately improve patient outcomes.

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Conflict of interest statement

Declaration of interests E.G. has consulting or advisory roles at ABL Bio, Boehringer Ingelheim, Bristol Myers Squibb, Dracen Pharmaceuticals, Eisai, Eli Lilly, EMD Serono, GSK, Merck, Natera, Novartis, Regeneron, Sanofi, Shionogi, and Xilio Therapeutics. A.G. declares no competing interests.

Comment on

  • Structure-based classification predicts drug response in EGFR-mutant NSCLC.
    Robichaux JP, Le X, Vijayan RSK, Hicks JK, Heeke S, Elamin YY, Lin HY, Udagawa H, Skoulidis F, Tran H, Varghese S, He J, Zhang F, Nilsson MB, Hu L, Poteete A, Rinsurongkawong W, Zhang X, Ren C, Liu X, Hong L, Zhang J, Diao L, Madison R, Schrock AB, Saam J, Raymond V, Fang B, Wang J, Ha MJ, Cross JB, Gray JE, Heymach JV. Robichaux JP, et al. Nature. 2021 Sep;597(7878):732-737. doi: 10.1038/s41586-021-03898-1. Epub 2021 Sep 15. Nature. 2021. PMID: 34526717 Free PMC article.

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