Clinical Outcomes of PD-1/PD-L1 Inhibitors Among Patients With Advanced or Metastatic Non-Small Cell Lung Cancer With

Katherine G Akers1, Sabine Oskar2, Bin Zhao2

  • 1PRECISIONheor, New York, NY.

Insights

Efficacy of PD-1/PD-L1 inhibitors for advanced non-small cell lung cancer (NSCLC) with specific mutations (BRAF, HER2, MET, RET) remains unclear. Further research is needed to determine survival benefits for these patients.

Area of Science:

  • Oncology
  • Immunotherapy
  • Molecular Diagnostics

Background:

  • The treatment of advanced or metastatic non-small cell lung cancer (NSCLC) is evolving with targeted therapies and immunotherapies.
  • The effectiveness of programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1) inhibitors in NSCLC patients with specific genetic alterations (BRAF V600E, HER2/ERBB2, MET exon 14 skipping, RET rearrangement) requires further investigation.

Approach:

  • A systematic literature review was conducted to synthesize evidence from clinical trials and observational studies.
  • Searches included Embase, MEDLINE, conference abstracts, and a clinical trial registry, identifying 12 unique studies.
  • Studies focused on objective response rate, progression-free survival, and overall survival in patients treated with PD-1/PD-L1 inhibitors.

Key Points:

  • Evidence was found for BRAF V600E (4 studies), HER2/ERBB2 (6 studies), MET exon 14 skipping (7 studies), and RET rearrangement (5 studies).
  • Significant heterogeneity in treatment and patient characteristics was observed across studies.
  • Inconsistent reporting of predictive/prognostic factors (e.g., treatment regimens, line of therapy, PD-L1 expression) complicates interpretation.

Conclusions:

  • Variations in outcomes across studies may be attributed to heterogeneity and lack of detailed reporting.
  • Prospective studies are essential to evaluate PD-1/PD-L1 inhibitor outcomes in advanced NSCLC with emerging biomarkers.
  • Further research is needed to confirm survival benefits of immunotherapy for these specific patient populations.