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Rapid idiosyncratic mechanisms of clinical resistance to KRAS G12C inhibition
Yihsuan S. Tsai, Mark G. Woodcock, Salma H. Azam, Leigh B. Thorne, Krishna L. Kanchi, Joel S. Parker, Benjamin G. Vincent, Chad V. Pecot
Yihsuan S. Tsai, Mark G. Woodcock, Salma H. Azam, Leigh B. Thorne, Krishna L. Kanchi, Joel S. Parker, Benjamin G. Vincent, Chad V. Pecot
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Clinical Research and Public Health Genetics Oncology

Rapid idiosyncratic mechanisms of clinical resistance to KRAS G12C inhibition

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Abstract

BACKGROUND The KRAS proto-oncogene is among the most frequently mutated genes in cancer, yet for 40 years it remained an elusive therapeutic target. Recently, allosteric inhibitors that covalently bind to KRAS G12C mutations have been approved for use in lung adenocarcinomas. Although responses are observed, they are often short-lived, thus making in-depth characterization of the mechanisms of resistance of paramount importance.METHODS Here, we present a rapid-autopsy case of a patient who had a KRASG12C-mutant lung adenocarcinoma who initially responded to a KRAS G12C inhibitor but then rapidly developed resistance. Using deep-RNA and whole-exome sequencing comparing pretreatment, posttreatment, and matched normal tissues, we uncover numerous mechanisms of resistance to direct KRAS inhibition.RESULTS In addition to decreased KRAS G12C–mutant allele frequency in refractory tumors, we also found reactivation of the MAPK pathway despite no new mutations in KRAS or its downstream mediators. Tumor cell–intrinsic and non–cell autonomous mechanisms included increased complement activation, coagulation, and tumor angiogenesis, and several lines of evidence of immunologic evasion.CONCLUSION Together, our findings reveal numerous mechanisms of resistance to current KRAS G12C inhibitors through enrichment of clonal populations, KRAS-independent downstream signaling, and diverse remodeling of the tumor microenvironment.FUNDING Richard and Fran Duley, Jimmy and Kay Mann, the NIH, and the North Carolina Biotechnology Center.

Authors

Yihsuan S. Tsai, Mark G. Woodcock, Salma H. Azam, Leigh B. Thorne, Krishna L. Kanchi, Joel S. Parker, Benjamin G. Vincent, Chad V. Pecot

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Figure 2

Dynamic adaptive cell-intrinsic reprograming and TME remodeling.

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Dynamic adaptive cell-intrinsic reprograming and TME remodeling.
(A) Nin...
(A) Nine hundred fifty differentially expressed genes with adjusted P values of less than 0.05 are shown as heatmaps, with 709 upregulated and 241 downregulated after AMG510 treatment. (B) Gene set analysis via GSVA using 189 MsigDB oncogenic signatures identified 38 oncogenic signatures (Padj < 0.05) that were upregulated after AMG510 treatment. (C) GSVA analysis using 50 MsigDB Hallmark gene sets identified 9 signatures (Padj < 0.05) that were differentially expressed, including upregulation in the Coagulation and EMT pathways. (D) GSEA for coagulation, EMT, and fatty acid metabolism.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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