| Literature DB >> 34301758 |
Paul Yenerall1,2, Rahul K Kollipara1, Kimberley Avila2, Michael Peyton2, Christopher A Eide3,4, Daniel Bottomly3,5, Shannon K McWeeney3,5, Yan Liu6,7, Kenneth D Westover6,7, Brian J Druker3,4, John D Minna8,9,10,11, Ralf Kittler12,9,11.
Abstract
Identifying resistance mutations in a drug target provides crucial information. Lentiviral transduction creates multiple types of mutations due to the error-prone nature of the HIV-1 reverse transcriptase (RT). Here we optimized and leveraged this property to identify drug resistance mutations, developing a technique we term LentiMutate. This technique was validated by identifying clinically relevant EGFR resistance mutations, then applied to two additional clinical anticancer drugs: imatinib, a BCR-ABL inhibitor, and AMG 510, a KRAS G12C inhibitor. Novel deletions in BCR-ABL1 conferred resistance to imatinib. In KRAS-G12C or wild-type KRAS, point mutations in the AMG 510 binding pocket or oncogenic non-G12C mutations conferred resistance to AMG 510. LentiMutate should prove highly valuable for clinical and preclinical cancer-drug development. SIGNIFICANCE: LentiMutate can evaluate a drug's on-target activity and can nominate resistance mutations before they occur in patients, which could accelerate and refine drug development to increase the survival of patients with cancer. ©2021 The Authors; Published by the American Association for Cancer Research.Entities:
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Year: 2021 PMID: 34301758 PMCID: PMC8448967 DOI: 10.1158/0008-5472.CAN-21-1153
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701