Immune checkpoint inhibitors for brain metastases in non-small-cell lung cancer: from rationale to clinical

Gang Xiao1, Zhiyuan Liu1, Xuan Gao2

  • 1Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, China.

Immunotherapy
|July 7, 2021
PubMed

Insights

Immune checkpoint inhibitors (ICIs) are increasingly used for non-small-cell lung cancer with brain metastases (NSCLC BM). This review examines their efficacy and predictive biomarkers for NSCLC BM treatment.

Area of Science:

  • Oncology
  • Immunotherapy
  • Neurology

Background:

  • Brain metastases (BM) are a frequent complication in non-small-cell lung cancer (NSCLC).
  • Immune checkpoint inhibitors (ICIs) represent a significant advancement in NSCLC treatment, including cases with BM.
  • Several ICIs targeting PD-1, PD-L1, and CTLA-4 are approved for metastatic NSCLC.

Purpose of the Study:

  • To review the current theoretical basis for using ICIs in NSCLC BM.
  • To analyze existing clinical data on the efficacy of ICIs in NSCLC patients with BM.
  • To discuss the role and controversy surrounding predictive biomarkers for ICI therapy in NSCLC BM.

Main Methods:

  • Literature review of preclinical studies and clinical trials.
  • Analysis of data on approved ICIs (pembrolizumab, nivolumab, cemiplimab, atezolizumab, ipilimumab).
  • Examination of potential predictive biomarkers including PD-L1 expression, tumor-infiltrating lymphocytes, and tumor mutation burden.

Main Results:

  • ICIs have shown promise in treating NSCLC BM, becoming a routine option.
  • Clinical data specifically for NSCLC BM treated with ICIs remain relatively limited.
  • The predictive value of biomarkers like PD-L1, TILs, and TMB in this specific population is still under investigation and debated.

Conclusions:

  • ICIs offer a valuable therapeutic strategy for NSCLC patients with brain metastases.
  • Further research and robust clinical data are needed to optimize ICI use and biomarker selection in NSCLC BM.
  • Clarifying the role of biomarkers will be crucial for personalized treatment approaches in NSCLC BM.

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