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PRRT genomic signature in blood for prediction of 177Lu-octreotate efficacy.


ABSTRACT: BACKGROUND:Peptide receptor radionuclide therapy (PRRT) utilizes somatostatin receptor (SSR) overexpression on neuroendocrine tumors (NET) to deliver targeted radiotherapy. Intensity of uptake at imaging is considered related to efficacy but has low sensitivity. A pretreatment strategy to determine individual PRRT response remains a key unmet need. NET transcript expression in blood integrated with tumor grade provides a PRRT predictive quotient (PPQ) which stratifies PRRT "responders" from "non-responders". This study clinically validates the utility of the PPQ in NETs. METHODS:The development and validation of the PPQ was undertaken in three independent 177Lu-PRRT treated cohorts. Specificity was tested in two separate somatostatin analog-treated cohorts. Prognostic value of the marker was defined in a cohort of untreated patients. The developmental cohort included lung and gastroenteropancreatic [GEP] NETs (n?=?72) from IRST Meldola, Italy. The majority were GEP (71%) and low grade (86% G1-G2). Prospective validation cohorts were from Zentralklinik Bad Berka, Germany (n?=?44), and Erasmus Medical Center, Rotterdam, Netherlands (n?=?42). Each cohort included predominantly well differentiated, low grade (86-95%) lung and GEP-NETs. The non-PRRT comparator cohorts included SSA cohort I, n?=?28 (100% low grade, 100% GEP-NET); SSA cohort II, n?=?51 (98% low grade; 76% GEP-NET); and an untreated cohort, n?=?44 (64% low grade; 91% GEP-NET). Baseline evaluations included clinical information (disease status, grade, SSR) and biomarker (CgA). NET blood gene transcripts (n?=?8: growth factor signaling and metabolism) were measured pre-therapy and integrated with tumor Ki67 using a logistic regression model. This provided a binary output: "predicted responder" (PPQ+); "predicted non-responder" (PPQ-). Treatment response was evaluated using RECIST criteria [Responder (stable, partial and complete response) vs Non-Responder)]. Sample measurement and analyses were blinded to study outcome. Statistical evaluation included Kaplan-Meier survival and standard test evaluation analyses. RESULTS:In the developmental cohort, 56% responded to PRRT. The PPQ predicted 100% of responders and 84% of non-responders (accuracy: 93%). In the two validation cohorts (response: 64-79%), the PPQ was 95% accurate (Bad Berka: PPQ?+?=97%, PPQ-?=?93%; Rotterdam: PPQ?+?=94%, PPQ-?=?100%). Overall, the median PFS was not reached in PPQ+ vs PPQ- (10-14 months; HR: 18-77, p?

SUBMITTER: Bodei L 

PROVIDER: S-EPMC6716527 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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PRRT genomic signature in blood for prediction of <sup>177</sup>Lu-octreotate efficacy.

Bodei Lisa L   Kidd Mark S MS   Singh Aviral A   van der Zwan Wouter A WA   Severi Stefano S   Drozdov Ignat A IA   Cwikla Jaroslaw J   Baum Richard P RP   Kwekkeboom Dik J DJ   Paganelli Giovanni G   Krenning Eric P EP   Modlin Irvin M IM  

European journal of nuclear medicine and molecular imaging 20180226 7


<h4>Background</h4>Peptide receptor radionuclide therapy (PRRT) utilizes somatostatin receptor (SSR) overexpression on neuroendocrine tumors (NET) to deliver targeted radiotherapy. Intensity of uptake at imaging is considered related to efficacy but has low sensitivity. A pretreatment strategy to determine individual PRRT response remains a key unmet need. NET transcript expression in blood integrated with tumor grade provides a PRRT predictive quotient (PPQ) which stratifies PRRT "responders" f  ...[more]

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