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PRRT: identikit of the perfect patient

Peptide receptor radionuclide therapy (PRRT) has been strengthened since the publication of NETTER-1. Nevertheless, the correct positioning in the therapeutic algorithm is debated, and no optimal sequence has yet been standardized. Possible criteria to predict the response to PRRT in neuroendocrine...

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Autores principales: Albertelli, M., Dotto, A., Di Dato, C., Malandrino, P., Modica, R., Versari, A., Colao, A., Ferone, D., Faggiano, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346456/
https://www.ncbi.nlm.nih.gov/pubmed/32978685
http://dx.doi.org/10.1007/s11154-020-09581-6
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author Albertelli, M.
Dotto, A.
Di Dato, C.
Malandrino, P.
Modica, R.
Versari, A.
Colao, A.
Ferone, D.
Faggiano, A.
author_facet Albertelli, M.
Dotto, A.
Di Dato, C.
Malandrino, P.
Modica, R.
Versari, A.
Colao, A.
Ferone, D.
Faggiano, A.
author_sort Albertelli, M.
collection PubMed
description Peptide receptor radionuclide therapy (PRRT) has been strengthened since the publication of NETTER-1. Nevertheless, the correct positioning in the therapeutic algorithm is debated, and no optimal sequence has yet been standardized. Possible criteria to predict the response to PRRT in neuroendocrine tumors (NET) have been proposed. The aim of this review is to define the perfect identity of the eligible patient who can mostly benefit from this therapy. Possible predictive criteria which have been analysed were: primary tumor site, grading, tumor burden, FDG PET and (68)Ga-PET uptake. Primary tumor site and (68)Ga-PET uptake do not play a pivotal role in predicting the response, while tumor burden, FDG PET uptake and grading seem to represent predictive/prognostic factors for response to PRRT. The heterogeneity in trial designs, patient populations, type of radionuclides, previous therapies and measurement of outcomes, inevitably limits the strength of our conclusions, therefore care must be taken in applying these results to clinical practice. In conclusion, the perfect patient, selected by (68)Ga-PET uptake, will likely have a relatively limited liver tumor burden, a ki67 index <20% and will respond to PRRT irrespective to primary tumor. Nevertheless, we have mostly prognostic than predictive factors to predict the efficacy of PRRT in individual patients, while a promising tool could be the NETest. However, to date, the identikit of the perfect patient for PRRT is a puzzle without some pieces and still we cannot disregard a multidisciplinary discussion of the individual case to select the patients who will mostly benefit from PRRT.
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spelling pubmed-83464562021-08-20 PRRT: identikit of the perfect patient Albertelli, M. Dotto, A. Di Dato, C. Malandrino, P. Modica, R. Versari, A. Colao, A. Ferone, D. Faggiano, A. Rev Endocr Metab Disord Article Peptide receptor radionuclide therapy (PRRT) has been strengthened since the publication of NETTER-1. Nevertheless, the correct positioning in the therapeutic algorithm is debated, and no optimal sequence has yet been standardized. Possible criteria to predict the response to PRRT in neuroendocrine tumors (NET) have been proposed. The aim of this review is to define the perfect identity of the eligible patient who can mostly benefit from this therapy. Possible predictive criteria which have been analysed were: primary tumor site, grading, tumor burden, FDG PET and (68)Ga-PET uptake. Primary tumor site and (68)Ga-PET uptake do not play a pivotal role in predicting the response, while tumor burden, FDG PET uptake and grading seem to represent predictive/prognostic factors for response to PRRT. The heterogeneity in trial designs, patient populations, type of radionuclides, previous therapies and measurement of outcomes, inevitably limits the strength of our conclusions, therefore care must be taken in applying these results to clinical practice. In conclusion, the perfect patient, selected by (68)Ga-PET uptake, will likely have a relatively limited liver tumor burden, a ki67 index <20% and will respond to PRRT irrespective to primary tumor. Nevertheless, we have mostly prognostic than predictive factors to predict the efficacy of PRRT in individual patients, while a promising tool could be the NETest. However, to date, the identikit of the perfect patient for PRRT is a puzzle without some pieces and still we cannot disregard a multidisciplinary discussion of the individual case to select the patients who will mostly benefit from PRRT. Springer US 2020-09-25 2021 /pmc/articles/PMC8346456/ /pubmed/32978685 http://dx.doi.org/10.1007/s11154-020-09581-6 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Albertelli, M.
Dotto, A.
Di Dato, C.
Malandrino, P.
Modica, R.
Versari, A.
Colao, A.
Ferone, D.
Faggiano, A.
PRRT: identikit of the perfect patient
title PRRT: identikit of the perfect patient
title_full PRRT: identikit of the perfect patient
title_fullStr PRRT: identikit of the perfect patient
title_full_unstemmed PRRT: identikit of the perfect patient
title_short PRRT: identikit of the perfect patient
title_sort prrt: identikit of the perfect patient
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346456/
https://www.ncbi.nlm.nih.gov/pubmed/32978685
http://dx.doi.org/10.1007/s11154-020-09581-6
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