Recent advances and future perspectives in adjuvant and neoadjuvant immunotherapies for lung cancer

Masaya Yotsukura1, Kazuo Nakagawa1, Kenji Suzuki2

  • 1Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan.

Insights

Neoadjuvant immune checkpoint inhibitors show promise for early-stage non-small cell lung cancer, with high response rates and minimal surgical delays. Further trials are exploring combination therapies and predictive biomarkers.

Area of Science:

  • Oncology
  • Immunotherapy
  • Thoracic Surgery

Background:

  • Immune checkpoint inhibitors (ICIs) demonstrate superior efficacy in advanced non-small cell lung cancer (NSCLC).
  • Clinical trials are investigating ICIs in earlier NSCLC stages, particularly in the neoadjuvant setting.
  • Neoadjuvant ICI use is supported by the presence of tumor-derived neoantigens in vivo.

Purpose of the Study:

  • To evaluate the safety and efficacy of neoadjuvant immune checkpoint inhibitors in non-small cell lung cancer.
  • To assess the impact of neoadjuvant ICIs on surgical outcomes and adverse events.
  • To explore the potential of biomarkers for predicting ICI response.

Main Methods:

  • Administration of programed death-1 inhibitor nivolumab in a neoadjuvant setting for NSCLC patients.
  • Analysis of major pathologic response rates and surgical timelines.
  • Review of ongoing clinical trials exploring neoadjuvant and adjuvant ICI use, with or without chemotherapy/radiotherapy.

Main Results:

  • A major pathologic response rate of 45% was reported in a key study.
  • No unexpected surgical delays were observed due to nivolumab-related adverse events.
  • Evidence suggests favorable safety and efficacy of ICIs in the neoadjuvant setting.

Conclusions:

  • Neoadjuvant immune checkpoint inhibitors represent a promising strategy for early-stage NSCLC.
  • Further research is needed to establish optimal multimodality treatment protocols combining ICIs with surgery.
  • Development of predictive biomarkers like PD-L1 expression and tumor mutation burden is crucial for personalized ICI therapy.

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