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Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms

Neuroendocrine neoplasia (NEN) is an umbrella term that includes a widely heterogeneous disease group including well-differentiated neuroendocrine tumours (NETs), and aggressive neuroendocrine carcinomas (NECs). The site of origin of the NENs is linked to the intrinsic tumour biology and is predicti...

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Autores principales: Iravani, Amir, Parihar, Ashwin Singh, Akhurst, Timothy, Hicks, Rodney J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164531/
https://www.ncbi.nlm.nih.gov/pubmed/35659779
http://dx.doi.org/10.1186/s40644-022-00465-3
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author Iravani, Amir
Parihar, Ashwin Singh
Akhurst, Timothy
Hicks, Rodney J.
author_facet Iravani, Amir
Parihar, Ashwin Singh
Akhurst, Timothy
Hicks, Rodney J.
author_sort Iravani, Amir
collection PubMed
description Neuroendocrine neoplasia (NEN) is an umbrella term that includes a widely heterogeneous disease group including well-differentiated neuroendocrine tumours (NETs), and aggressive neuroendocrine carcinomas (NECs). The site of origin of the NENs is linked to the intrinsic tumour biology and is predictive of the disease course. It is understood that NENs demonstrate significant biologic heterogeneity which ultimately translates to widely varying clinical presentations, disease course and prognosis. Thus, significant emphasis is laid on the pre-therapy evaluation of markers that can help predict tumour behavior and dynamically monitors the response during and after treatment. Most well-differentiated NENs express somatostatin receptors (SSTRs) which make them appropriate for peptide receptor radionuclide therapy (PRRT). However, the treatment outcomes of PRRT depend heavily on the adequacy of patient selection by molecular imaging phenotyping not only utilizing pre-treatment SSTR PET but (18)F-Fluorodeoxyglucose ((18)F-FDG) PET to provide insights into the intra- or inter-tumoural heterogeneity of the metastatic disease. Molecular imaging phenotyping may go beyond patient selection and provide useful information during and post-treatment for monitoring of temporal heterogeneity of the disease and dynamically risk-stratify patients. In addition, advances in the understanding of genomic-phenotypic classifications of pheochromocytomas and paragangliomas led to an archetypical example in precision medicine by utilizing molecular imaging phenotyping to guide radioligand therapy. Novel non-SSTR based peptide receptors have also been explored diagnostically and therapeutically to overcome the tumour heterogeneity. In this paper, we review the current molecular imaging modalities that are being utilized for the characterization of the NENs with special emphasis on their role in patient selection for radioligand therapy.
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spelling pubmed-91645312022-06-05 Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms Iravani, Amir Parihar, Ashwin Singh Akhurst, Timothy Hicks, Rodney J. Cancer Imaging Review Neuroendocrine neoplasia (NEN) is an umbrella term that includes a widely heterogeneous disease group including well-differentiated neuroendocrine tumours (NETs), and aggressive neuroendocrine carcinomas (NECs). The site of origin of the NENs is linked to the intrinsic tumour biology and is predictive of the disease course. It is understood that NENs demonstrate significant biologic heterogeneity which ultimately translates to widely varying clinical presentations, disease course and prognosis. Thus, significant emphasis is laid on the pre-therapy evaluation of markers that can help predict tumour behavior and dynamically monitors the response during and after treatment. Most well-differentiated NENs express somatostatin receptors (SSTRs) which make them appropriate for peptide receptor radionuclide therapy (PRRT). However, the treatment outcomes of PRRT depend heavily on the adequacy of patient selection by molecular imaging phenotyping not only utilizing pre-treatment SSTR PET but (18)F-Fluorodeoxyglucose ((18)F-FDG) PET to provide insights into the intra- or inter-tumoural heterogeneity of the metastatic disease. Molecular imaging phenotyping may go beyond patient selection and provide useful information during and post-treatment for monitoring of temporal heterogeneity of the disease and dynamically risk-stratify patients. In addition, advances in the understanding of genomic-phenotypic classifications of pheochromocytomas and paragangliomas led to an archetypical example in precision medicine by utilizing molecular imaging phenotyping to guide radioligand therapy. Novel non-SSTR based peptide receptors have also been explored diagnostically and therapeutically to overcome the tumour heterogeneity. In this paper, we review the current molecular imaging modalities that are being utilized for the characterization of the NENs with special emphasis on their role in patient selection for radioligand therapy. BioMed Central 2022-06-03 /pmc/articles/PMC9164531/ /pubmed/35659779 http://dx.doi.org/10.1186/s40644-022-00465-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Iravani, Amir
Parihar, Ashwin Singh
Akhurst, Timothy
Hicks, Rodney J.
Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms
title Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms
title_full Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms
title_fullStr Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms
title_full_unstemmed Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms
title_short Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms
title_sort molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164531/
https://www.ncbi.nlm.nih.gov/pubmed/35659779
http://dx.doi.org/10.1186/s40644-022-00465-3
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