Preclinical Models of Neuroendocrine Neoplasia

Andrew J H Sedlack1,2, Kimia Saleh-Anaraki3, Suresh Kumar3

  • 1National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Cancers
|November 26, 2022
PubMed

Insights

Neuroendocrine neoplasms (NENs) are rare, diverse cancers. This review examines preclinical models like cell lines and PDXs, crucial for understanding NEN biology and developing new treatments.

Area of Science:

  • Oncology
  • Cancer Research
  • Translational Medicine

Background:

  • Neuroendocrine neoplasms (NENs) represent a complex and heterogeneous group of cancers.
  • Their low incidence and high diversity classify many as orphan conditions, limiting clinical trials and research.
  • Understanding NENs is challenged by limited molecular and genetic studies compared to common cancers.

Purpose of the Study:

  • To review and discuss the available preclinical models for various types of neuroendocrine neoplasms.
  • To explore the history, current applications, and translational potential of these models.
  • To highlight the importance of preclinical models in NEN research and treatment evaluation.

Main Methods:

  • Review of existing literature on preclinical models for neuroendocrine neoplasms.
  • Categorization of models into in vitro (cell lines, 3D models) and in vivo (PDXs, GEMMs).
  • Analysis of the historical development and current utility of each model type.

Main Results:

  • Preclinical models, including cell lines, 3D models, patient-derived xenografts (PDXs), and genetically-engineered mouse models (GEMMs), are essential for NEN research.
  • These models, while not fully recapitulating human cancers, are vital for investigating basic biology and early treatment evaluation.
  • A comprehensive overview of models specific to different NEN subtypes is presented.

Conclusions:

  • Preclinical models are indispensable tools for advancing the study of neuroendocrine neoplasms.
  • Continued development and validation of these models are crucial for improving our understanding and treatment of NENs.
  • Effective translation of preclinical findings to clinical applications remains a key goal in NEN research.