KEAP1 mutations as key crucial prognostic biomarkers for resistance to KRAS-G12C inhibitors

Linyan Tian1, Chengming Liu2,3, Sufei Zheng3,4

  • 1Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.

PubMed
Abstract

Insights

KRAS-G12C inhibitors show promise in cancer therapy, but KEAP1 mutations predict resistance. Identifying these biomarkers is crucial for effective treatment strategies and developing alternatives for affected patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • KRAS-G12C inhibitors represent a significant advancement in targeted cancer therapy.
  • Identifying predictive biomarkers for treatment efficacy and resistance is crucial for optimizing patient outcomes.

Purpose of the Study:

  • To conduct a systematic meta-analysis of studies on KRAS-G12C inhibitors.
  • To investigate the role of KEAP1 and STK11 mutations and PD-L1 expression in mediating resistance to KRAS-G12C inhibitors.

Main Methods:

  • Systematic meta-analysis of 13 studies (1132 patients).
  • CRISPR/Cas9 technology to generate KEAP1 and STK11 knockout cell lines.
  • Evaluation of cellular sensitivity to KRAS-G12C inhibitors (AMG510, MRTX849, JAB-21822) using CCK-8 assays and bioinformatics analyses.

Main Results:

  • KRAS-G12C inhibitor monotherapy demonstrated significant efficacy, especially in elderly and female patients.
  • KEAP1 mutations were identified as a primary negative prognostic factor, strongly associated with early resistance.
  • KEAP1 knockout cells showed significantly increased IC50 values for all tested KRAS-G12C inhibitors, with enriched pathways in extracellular matrix organization and cell adhesion.

Conclusions:

  • KEAP1 mutations are key biomarkers for resistance to KRAS-G12C inhibitors.
  • There is an urgent need for alternative therapeutic strategies for patients with KEAP1 mutations.
  • Molecular profiling is essential for tailoring personalized treatment strategies in cancer therapy.

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