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.
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Authors | Paul Yenerall, Rahul K Kollipara, Kimberley Avila, Michael Peyton, Christopher A Eide, Daniel Bottomly, Shannon K McWeeney, Yan Liu, Kenneth D Westover, Brian J Druker, John D Minna, Ralf Kittler |
Journal | Cancer research
(Cancer Res)
Vol. 81
Issue 18
Pg. 4685-4695
(Sep 15 2021)
ISSN: 1538-7445 [Electronic] United States |
PMID | 34301758
(Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
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Copyright | ©2021 The Authors; Published by the American Association for Cancer Research. |
Chemical References |
- Antineoplastic Agents
- Biomarkers, Tumor
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Topics |
- Antineoplastic Agents
(chemistry, pharmacology)
- Biomarkers, Tumor
- Cell Line, Tumor
- Dose-Response Relationship, Drug
- Drug Discovery
(methods)
- Drug Resistance, Neoplasm
(genetics)
- Gene Expression
- Gene Expression Regulation, Neoplastic
(drug effects)
- Genetic Vectors
(genetics)
- Humans
- Lentivirus
(genetics)
- Models, Molecular
- Mutation
- Neoplasms
(drug therapy, genetics)
- Structure-Activity Relationship
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