PRRT: identikit of the perfect patient

Author:

Albertelli M.,Dotto A.,Di Dato C.,Malandrino P.,Modica R.,Versari A.,Colao A.,Ferone D.,Faggiano A.ORCID,

Abstract

AbstractPeptide 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 68Ga-PET uptake. Primary tumor site and 68Ga-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 68Ga-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.

Funder

Italian Ministry of Education, University and Research

Publisher

Springer Science and Business Media LLC

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism

Reference83 articles.

1. Aalbersberg EA, Huizing DMV, Walraven I, de Wit-van der Veen BJ, Kulkarni HR, Singh A, et al. Parameters to predict progression-free and overall survival after peptide receptor radionuclide therapy: a multivariate analysis in 782 patients. J Nucl Med. 2019;60(9):1259–65. https://doi.org/10.2967/jnumed.118.224386 Epub 2019 Mar 8.

2. Adnan A, Kudachi S, Ramesh S, Prabhash K, Basu S. Metastatic or locally advanced mediastinal neuroendocrine tumours: outcome with 177Lu-DOTATATE-based peptide receptor radionuclide therapy and assessment of prognostic factors. Nucl Med Commun. 2019;40(9):947–57. https://doi.org/10.1097/MNM.0000000000001054.

3. Alexandraki, et al. Current Concepts in the Diagnosis and Management of Neuroendocrine Neoplasms of Unknown Primary Origin. Minerva Endocrinol. 2019;44(4):378–86. https://doi.org/10.23736/S0391-1977.19.03012-8.

4. Baum RP, Kluge AW, Kulkarni H, Schorr-Neufing U, Niepsch K, Bitterlich N, et al. [(177)Lu-DOTA](0)-D-Phe(1)-Tyr(3)-Octreotide ((177)Lu-DOTATOC) for peptide receptor radiotherapy in patients with advanced neuroendocrine Tumours: a phase-II study. Theranostics. 2016;6(4):501–10. https://doi.org/10.7150/thno.13702 eCollection 2016.

5. Baum RP, Kulkarni HR, Singh A, Kaemmerer D, Mueller D, Prasad V, et al. Results and adverse events of personalized peptide receptor radionuclide therapy with 90Yttrium and 177Lutetium in 1048 patients with neuroendocrine neoplasms. Oncotarget. 2018;9(24):16932–50. https://doi.org/10.18632/oncotarget24524 eCollection 2018 Mar 30.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3