Immunotherapy with checkpoint inhibitors in non-small cell lung cancer: insights from long-term survivors

Ernest Nadal1,2, Bartomeu Massuti3, Manuel Dómine4

  • 1Department of Medical Oncology, Catalan Institute of Oncology (ICO), Avda Gran via, 199-203. L'Hospitalet, 08908, Barcelona, Spain. esnadal@iconcologia.net.

Insights

Immune checkpoint inhibitors (ICIs) show promise in non-small cell lung cancer (NSCLC), with some patients achieving long-term survival. This review explores factors influencing response and biomarkers for effective ICI therapy in NSCLC.

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Immune checkpoint inhibitors (ICIs) targeting the programmed cell death-1 (PD-1)-programmed cell death ligand-1 (PD-L1) axis are effective in non-small cell lung cancer (NSCLC).
  • A subset of NSCLC patients exhibit persistent responses, forming a group of long-term survivors.
  • Tumor PD-L1 expression, genomic landscape (mutational burden, neoantigens), and immune-related toxicities are associated with ICI response.

Purpose of the Study:

  • To review the characteristics and clinical features of long-term NSCLC survivors.
  • To identify potential biomarkers predictive of response to ICIs in NSCLC.
  • To explore strategies for maximizing ICI efficacy through combination therapies.

Main Methods:

  • Literature review focusing on long-term NSCLC survivors treated with ICIs.
  • Analysis of studies correlating tumor characteristics (PD-L1 expression, genomics) with ICI response.
  • Examination of research on immune-related toxicities as potential response indicators.

Main Results:

  • Consistent association between PD-L1 expression and response in advanced NSCLC, despite variable definitions.
  • Clinical efficacy of ICIs linked to tumor mutational burden and neoantigen load.
  • Immune-related toxicities may correlate with improved immunotherapy response.

Conclusions:

  • Understanding long-term survivor characteristics is crucial for optimizing ICI therapy in NSCLC.
  • Biomarkers such as PD-L1 expression and genomic features are important for predicting ICI response.
  • Combination strategies involving ICIs may enhance treatment efficacy and overcome resistance in NSCLC.

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