Sotorasib Is Not Effective in a KRAS-Mutated Patient With Brain Metastases From Lung Adenocarcinoma due to Multiple

Takayuki Suetsugu1, Kentaro Tsuruzono1, Masashi Hatanaka1

  • 1Department of Pulmonary Medicine, Graduate School of Medical and Dental Sciences Kagoshima University Kagoshima Japan.

PubMed

Insights

KRAS G12C-mutated lung cancer can be resistant to sotorasib. This resistance may be linked to co-occurring p53 and BRCA2 mutations, even in the primary tumor, impacting targeted therapy effectiveness.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Lung adenocarcinoma is a significant cause of cancer-related mortality.
  • Targeted therapies, such as sotorasib, have shown promise for specific mutations like KRAS G12C.
  • Tumor heterogeneity and the presence of co-occurring mutations can influence treatment response.

Purpose of the Study:

  • To investigate the molecular mechanisms underlying resistance to sotorasib in a patient with KRAS G12C-mutated lung adenocarcinoma.
  • To identify potential genetic markers associated with primary or acquired resistance to targeted therapy.

Main Methods:

  • Surgical resection of primary tumor and metastatic lesions.
  • Oncomine Dx Target Test for KRAS G12C mutation detection in metastatic tissue.
  • Cancer Genome Profiling (CGP) Test for comprehensive genomic analysis of the primary tumor.

Main Results:

  • A patient with lung adenocarcinoma initially treated with lobectomy developed brain and liver metastases.
  • KRAS G12C mutation was identified in metastatic tissue, but sotorasib treatment proved ineffective.
  • Comprehensive genomic profiling revealed pre-existing p53 and BRCA2 mutations in the primary tumor.

Conclusions:

  • The presence of co-occurring p53 and BRCA2 mutations in the primary tumor may confer intrinsic resistance to KRAS G12C-targeted therapy like sotorasib.
  • Genomic profiling of the primary tumor is crucial for predicting response to targeted therapies.
  • Understanding complex mutational landscapes is essential for optimizing lung cancer treatment strategies.

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