Molecular mechanisms and clinical insights in transformed small cell lung cancer: a narrative review

Xianzi Dai1, Yue Hao2, Jiaojiao Hong1

  • 1Department of Respiratory Medicine, Jiangsu Province Hospital of Chinese Medicine (Affiliated Hospital of Nanjing University of Chinese Medicine), Nanjing, China.

PubMed
Abstract

Insights

Histological transformation from non-small cell lung cancer to small cell lung cancer (SCLC) is a resistance mechanism. Identifying molecular biomarkers for transformed SCLC (T-SCLC) can optimize treatment strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Targeted therapies improve survival in driver gene-positive non-small cell lung cancer (NSCLC).
  • Acquired resistance can manifest as histological transformation from NSCLC to small cell lung cancer (SCLC).
  • This transformation, termed T-SCLC, occurs under targeted and non-targeted treatments, necessitating understanding of its mechanisms.

Purpose of the Study:

  • To identify key molecular biomarkers predictive of NSCLC-to-SCLC transformation.
  • To optimize clinical management strategies for transformed SCLC (T-SCLC).

Main Methods:

  • Systematic literature search of PubMed, EMBASE, Cochrane Library, and conference proceedings up to December 31, 2024.
  • Synthesis of current evidence on T-SCLC transformation mechanisms, genomic/transcriptomic alterations, and therapeutic approaches.

Main Results:

  • T-SCLC transformation involves tumor heterogeneity and lineage plasticity.
  • Key molecular players include PI3K/AKT/mTOR, NOTCH-ASCL1, SMAD4, SOX2, and epigenetic abnormalities.
  • TP53 and RB1 inactivation may be predictive biomarkers; chemotherapy +/- EGFR-TKIs are current treatments.

Conclusions:

  • T-SCLC mechanisms are not fully understood due to study limitations (retrospective, small samples).
  • Lung cancer plasticity and lineage plasticity drive this resistance mechanism.
  • Personalized therapies based on molecular profiling are a future direction for improved outcomes.

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