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Rapid idiosyncratic mechanisms of clinical resistance to KRAS G12C inhibition
Yihsuan S. Tsai, … , Benjamin G. Vincent, Chad V. Pecot
Yihsuan S. Tsai, … , Benjamin G. Vincent, Chad V. Pecot
Published January 6, 2022
Citation Information: J Clin Invest. 2022;132(4):e155523. https://doi.org/10.1172/JCI155523.
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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 4

Tumor immunogenomic and neoantigen features.

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Tumor immunogenomic and neoantigen features.
(A) Immune gene signatures ...
(A) Immune gene signatures by treatment time point, out of 40 tested signatures. (B) Tumor sample IgH repertoire comparison, by treatment time point. Horn’s modified Morisita overlap index. (C) Tumor sample T cell receptor β chain (TRB) repertoire comparison, by treatment time point. Horn’s modified Morisita overlap index. (D) Intersample predicted neoantigen count overlap between samples, log10 scale. Significance was assessed with the 2-sided Student’s t test. *P < 0.05, **P < 0.01, ***P < 0.001.

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