Selecting systemic treatment for metastatic neuroendocrine tumors of the lung-current evidence and clinical

Philipp Melhorn1, Markus Raderer1, Barbara Kiesewetter1

  • 1Department of Medicine I, Division of Oncology, Medical University of Vienna, Austria.

Cancer Treatment Reviews
|January 9, 2025
PubMed

Insights

This review examines treatments for metastatic lung neuroendocrine tumors (NET), a slow-growing cancer. It highlights the need to personalize therapy based on tumor characteristics and patient factors for better outcomes.

Area of Science:

  • Oncology
  • Endocrinology
  • Pulmonology

Background:

  • Lung neuroendocrine neoplasms (NEN) encompass both slow-growing neuroendocrine tumors (NET) and aggressive small cell lung cancer (SCLC).
  • Metastatic lung NET require distinct treatment strategies compared to other lung cancers.
  • Current treatment guidelines offer multiple options but lack clear sequencing for lung NET.

Purpose of the Study:

  • To critically evaluate existing evidence for metastatic lung NET treatment.
  • To identify patient subgroups with unmet therapeutic needs.
  • To inform personalized treatment strategies by integrating scientific findings and clinical features.

Main Methods:

  • Systematic review of clinical trial data for lung NET.
  • Analysis of patient characteristics, inclusion/exclusion criteria, and outcome metrics.
  • Evaluation of treatment options including somatostatin analogs (SSA), everolimus, chemotherapy, and peptide receptor radionuclide therapy (PRRT).

Main Results:

  • Treatment selection for lung NET is multifactorial, depending on tumor grade, burden, progression, and somatostatin receptor (SSTR) expression.
  • No definitive treatment sequence is established for metastatic lung NET.
  • Several patient subgroups may have unmet therapeutic needs requiring further investigation.

Conclusions:

  • Personalized treatment approaches are crucial for managing metastatic lung NET.
  • Integrating latest scientific evidence with individual patient clinical features is essential for optimal care.
  • Ongoing clinical trials are vital for addressing therapeutic gaps in specific lung NET patient subgroups.