Trametinib as second-line therapy for advanced KRAS G12C-mutant non-small cell lung cancer: a single-center clinical

Xinhui Wang1, Junyan Yu1

  • 1Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China.

Frontiers in Medicine
|June 15, 2026
PubMed
Abstract

Insights

Trametinib shows anti-tumor activity in advanced non-small cell lung cancer (NSCLC) with KRAS G12C mutations. Absence of bone metastasis and PD-L1 positivity may improve outcomes, offering a viable second-line option.

Area of Science:

  • Oncology
  • Medical Oncology
  • Pharmacology

Background:

  • Advanced non-small cell lung cancer (NSCLC) with KRAS G12C mutations presents a therapeutic challenge.
  • Limited effective second-line treatment options exist for this patient population.

Purpose of the Study:

  • To evaluate the clinical efficacy and safety of trametinib as a second-line treatment for advanced NSCLC with KRAS G12C.
  • To identify clinical factors associated with treatment response to trametinib.

Main Methods:

  • Retrospective analysis of 20 advanced NSCLC patients with KRAS G12C mutation treated with trametinib after first-line platinum-based chemotherapy and PD-1/PD-L1 inhibitors.
  • Primary endpoint: Objective Response Rate (ORR). Secondary endpoints: Disease Control Rate (DCR), Progression-Free Survival (PFS), Overall Survival (OS), and adverse events.

Main Results:

  • ORR was 27.8% (5/18), DCR was 72.2% (13/18). Median PFS was 3.8 months, median OS was 8.6 months.
  • Higher ORR observed in patients without bone metastasis (35.7% vs. 0%, P=0.042).
  • Higher DCR in patients with PD-L1 expression ≥1% (81.8% vs. 50.0%, P=0.039). Common adverse reactions: rash, diarrhea, fatigue. Grade 3+ adverse events in 15.0%.

Conclusions:

  • Trametinib demonstrates anti-tumor activity and manageable toxicity in second-line advanced NSCLC with KRAS G12C.
  • Absence of bone metastasis and PD-L1 positivity may predict better outcomes.
  • Trametinib is a clinically accessible second-line option, warranting further validation in prospective studies.

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