Applied models and molecular characteristics of small cell lung cancer

Pathol Oncol Res. 2024 Apr 22:30:1611743. doi: 10.3389/pore.2024.1611743. eCollection 2024.

Abstract

Small cell lung cancer (SCLC) is a highly aggressive type of cancer frequently diagnosed with metastatic spread, rendering it surgically unresectable for the majority of patients. Although initial responses to platinum-based therapies are often observed, SCLC invariably relapses within months, frequently developing drug-resistance ultimately contributing to short overall survival rates. Recently, SCLC research aimed to elucidate the dynamic changes in the genetic and epigenetic landscape. These have revealed distinct subtypes of SCLC, each characterized by unique molecular signatures. The recent understanding of the molecular heterogeneity of SCLC has opened up potential avenues for precision medicine, enabling the development of targeted therapeutic strategies. In this review, we delve into the applied models and computational approaches that have been instrumental in the identification of promising drug candidates. We also explore the emerging molecular diagnostic tools that hold the potential to transform clinical practice and patient care.

Keywords: SCLC; ctDNA; databases; drug response; liquid biopsy.

Publication types

  • Review

MeSH terms

  • Biomarkers, Tumor / genetics
  • Humans
  • Lung Neoplasms* / genetics
  • Lung Neoplasms* / pathology
  • Small Cell Lung Carcinoma* / genetics
  • Small Cell Lung Carcinoma* / pathology

Substances

  • Biomarkers, Tumor

Grants and funding

The authors declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences BO/00697/23 (LP). The project received funding from the EU’s Horizon 2020 Research and Innovation Program with grant agreement No. 739593. Project nos TKP-2021-EGA-05 and 2022-2.1.1-NL-2022-00005 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, funded by the TKP2021-EGA and National Laboratories grant program. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.