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 cancerdrug development.
Original language | English (US) |
---|---|
Pages (from-to) | 4685-4695 |
Number of pages | 11 |
Journal | Cancer research |
Volume | 81 |
Issue number | 18 |
DOIs | |
State | Published - Sep 15 2021 |
ASJC Scopus subject areas
- Oncology
- Cancer Research