Optimisation of radioligand therapy in neuroendocrine tumours: Current and evolving evidence

Shaunak Navalkissoor1, Gopinath Gnanasegaran1, Ashley Grossman2

  • 1Department of Nuclear Medicine, ENETS Centre of Excellence, Royal Free London NHS Foundation Trust, London, UK.

Insights

Radioligand therapy (RLT) shows promise for neuroendocrine tumors (NETs), but outcomes vary. Biomarkers and novel strategies are crucial for improving patient response rates and treatment efficacy.

Area of Science:

  • Oncology
  • Nuclear Medicine
  • Radiopharmaceutical Therapy

Background:

  • Radioligand therapy (RLT), exemplified by 177 Lu-DOTATATE, is a standard treatment for neuroendocrine tumors (NETs).
  • While generally well-tolerated and effective in prolonging progression-free survival for many, a significant portion of patients (approx. 20%) do not respond.
  • Complete and durable responses to current RLT strategies remain uncommon.

Purpose of the Study:

  • To explore strategies for enhancing the efficacy of peptide receptor radionuclide therapy (PRRT) for NETs.
  • To identify biomarkers for predicting non-response to RLT.
  • To examine novel mechanisms for optimizing current RLT treatment paradigms.

Main Methods:

  • Review of current literature on RLT for NETs.
  • Discussion of imaging and liquid biomarkers for predicting treatment outcomes.
  • Exploration of potential therapeutic strategies to enhance RLT effectiveness.

Main Results:

  • Identification of patient subgroups at high risk for non-response to RLT.
  • Proposed mechanisms to potentiate RLT effects, including increasing tumor absorbed dose and overcoming radio-resistance.
  • Strategies for somatostatin receptor upregulation are under investigation.

Conclusions:

  • Biomarker-driven patient selection is key to improving RLT outcomes in NETs.
  • Further research into novel therapeutic combinations and optimization techniques is warranted.
  • Larger clinical studies are necessary to validate the efficacy of proposed RLT enhancement strategies.