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Updated: Feb 6, 2026

Human Neuroendocrine Tumor Cell Lines as a Three-Dimensional Model for the Study of Human Neuroendocrine Tumor Therapy
12:04

Human Neuroendocrine Tumor Cell Lines as a Three-Dimensional Model for the Study of Human Neuroendocrine Tumor Therapy

Published on: August 14, 2012

29.5K

Theranostics in neuroendocrine tumours: somatostatin receptor imaging and therapy

Deborah Pencharz1, Gopinath Gnanasegaran2, Shaunak Navalkissoor2

  • 11 Department of Nuclear Medicine, Brighton and Sussex University Hospitals NHS Trust , Brighton , UK.

The British Journal of Radiology
|August 14, 2018
PubMed

Insights

Theranostics precisely selects neuroendocrine tumor (NET) patients likely to benefit from somatostatin receptor-based radionuclide therapy. This approach is crucial due to variable receptor expression, ensuring effective treatment and minimizing toxicity.

Area of Science:

  • Oncology
  • Nuclear Medicine
  • Radiochemistry

Background:

  • Neuroendocrine tumors (NETs) exhibit variable somatostatin receptor (SSTR) expression, impacting treatment efficacy.
  • Heterogeneity in NETs, including primary site and progression rate, necessitates personalized therapeutic strategies.
  • SSTR-based therapies offer targeted treatment but require confirmation of receptor expression.

Purpose of the Study:

  • To provide a comprehensive overview of theranostics principles in the context of neuroendocrine tumors.
  • To detail the role of somatostatin receptor (SSTR) expression in patient selection for radionuclide therapy.
  • To discuss current and emerging applications of SSTR-based theranostics for NETs.

Main Methods:

  • Review of current literature on neuroendocrine tumors and theranostics.
  • Analysis of SSTR expression patterns in NETs.
  • Evaluation of imaging and therapeutic radionuclides, clinical efficacy, and toxicity.

Main Results:

  • Theranostics, integrating diagnostic imaging and targeted therapy, is essential for NET management.
  • Pre-treatment SSTR expression assessment is critical for patient selection in radionuclide therapy.
  • SSTR-based theranostics demonstrates clinical efficacy and manageable toxicity profiles.

Conclusions:

  • SSTR-based theranostics offers a personalized approach to treating neuroendocrine tumors.
  • Accurate patient selection based on SSTR expression is paramount for successful radionuclide therapy.
  • Emerging radiopharmaceuticals and novel applications continue to advance SSTR-based theranostics for NETs.

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