Combination Systemic Therapies in Advanced Well-Differentiated Gastroenteropancreatic Neuroendocrine Tumors (GEP-NETs): A Comprehensive Review of Clinical Trials and Prospective Studies.
Leonidas N DiamantopoulosMarkos KalligerosThorvardur R HalfdanarsonNikolaos DiamantisChristos ToumpanakisPublished in: Biology (2023)
There is an evolving landscape of systemic combination regimens for patients with advanced well-differentiated gastroenteropancreatic neuroendocrine tumors (GEP-NETs). In this review, we provide a comprehensive outline of the existing clinical trials/prospective studies investigating these combinations. PubMed was searched using key relevant terms to identify articles referring to GEP-NETs and combination treatments. No systematic search of the literature or metanalysis of the data was performed, and we focused on the most recent literature results. Primarily, phase 1 and 2 clinical trials were available, with a smaller number of phase 3 trials, reporting results from combination treatments across a wide range of antiproliferative agents. We identified significant variability in the anti-tumor activity of the reported combinations, with occasional promising results, but only a very small number of practice-changing phase 3 clinical trials. Overall, the peptide receptor radionuclide therapy (PRRT)-based combinations (with chemotherapy, dual PPRT, and targeted agents) and anti-vascular endothelial growth factor (VEGF) agent combinations with standard chemotherapy were found to have favorable results and may be worth investigating in future, larger-scale trials. In contrast, the immune-checkpoint inhibitor-based combinations were found to have limited applicability in advanced, well-differentiated GEP-NETs.
Keyphrases
- neuroendocrine tumors
- clinical trial
- vascular endothelial growth factor
- systematic review
- phase ii
- endothelial cells
- open label
- magnetic resonance
- healthcare
- double blind
- locally advanced
- primary care
- study protocol
- emergency department
- phase iii
- randomized controlled trial
- case control
- machine learning
- computed tomography
- radiation therapy
- mesenchymal stem cells
- data analysis
- cancer therapy
- cell therapy