Advances in predictive biomarkers associated with immunotherapy in extensive-stage small cell lung cancer

Tong Chen1, Mingzhao Wang1, Yanchao Chen1

  • 1Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.

Cell & Bioscience
|September 12, 2024
PubMed

Insights

Identifying biomarkers is crucial for predicting response to immune checkpoint inhibitors (ICIs) in extensive-stage small cell lung cancer (ES-SCLC). This review explores tissue and blood biomarkers to personalize ICI therapy and improve outcomes for SCLC patients.

Area of Science:

  • Oncology
  • Immunotherapy
  • Biomarker Discovery

Background:

  • Small cell lung cancer (SCLC), particularly at the extensive stage (ES), has a poor prognosis with limited treatment advancements.
  • Immune checkpoint inhibitors (ICIs) combined with chemotherapy represent a new standard of care for ES-SCLC, but only a subset of patients benefit.
  • Immune-related adverse events (irAEs) are a significant concern with ICI therapy.

Purpose of the Study:

  • To review and synthesize current research on predictive biomarkers for ICI response in ES-SCLC.
  • To focus on biomarkers derived from tumor tissue and peripheral blood samples.
  • To guide the development of precision immunotherapy strategies for SCLC.

Main Methods:

  • Comprehensive literature review of studies investigating biomarkers for ICI response in ES-SCLC.
  • Analysis of potential biomarkers including PD-L1 expression, tumor mutational burden (TMB), tumor microenvironment (TME) components, antigen presentation machinery (APM), and circulating biomarkers (ctDNA, CTCs, cytokines).
  • Evaluation of the predictive efficacy and limitations of identified biomarkers.

Main Results:

  • PD-L1 expression and TMB are extensively studied but lack consistent predictive conclusions for SCLC immunotherapy.
  • Novel biomarkers from TME composition, APM, and genomic/transcriptomic features show promise for precision immunotherapy.
  • Circulating biomarkers offer non-invasive assessment of tumor characteristics and potential for predicting ICI efficacy, despite limited studies and heterogeneity.

Conclusions:

  • Accurate prediction of ICI response in ES-SCLC requires robust biomarkers to optimize patient selection and minimize irAEs.
  • Both tissue-based and circulating biomarkers hold potential, with ongoing research needed to validate their clinical utility.
  • Further investigation into novel markers and standardization of research methodologies are essential for advancing precision immunotherapy in SCLC.

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