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The utility of blood-based molecular tools-the NETest-to monitor and evaluate the efficacy of PRRT in neuroendocrine tumors
- Source :
- Journal of Clinical Oncology. 38:3568-3568
- Publication Year :
- 2020
- Publisher :
- American Society of Clinical Oncology (ASCO), 2020.
-
Abstract
- 3568 Background: Peptide receptor radionuclide therapy (PRRT) is an effective therapy for metastatic/inoperable neuroendocrine tumors (NETs). Tools to predict and monitor the efficacy of therapy are important adjuncts in the radio-oncology armamentarium. Standard blood biomarkers are not effective by new molecular based assays such as the PRRT Predictive Quotient (PPQ) and NETest are effective as real-time predictors and monitors of therapy. We aimed to prospectively evaluate whether: 1) the NETest functioned as a surrogate biomarker for image-based per RECIST evaluation of PRRT efficacy; 2) there was a correlation between changes in NETest levels during therapy, PPQ prediction and treatment efficacy. Methods: Three independent 177Lu-PRRT-treated GEP-NET and BPNEN cohorts (Rotterdam, Netherlands: n= 41; Bad-Berka, Germany: n= 44; Meldola, Italy: n= 72). Treatment response: RECIST1.1 [Responder (stable, partial/complete response) vs Non-Responder]. Blood sampling: pre-PRRT, prior to each cycle and 6 months (median) after completion of all cycles. PPQ (positive/negative) and NETest (0-100 score) by PCR. Stable 40). CgA (ELISA) as comparator. Samples deidentified, measurement and analyses blinded. Kaplan-Meier survival and Mann-Whitney analyses. Results: 122 of 157 were evaluable. RECIST stabilization or response in 67%; 33% progressed. NETest significantly ( p< 0.0001) decreased in RECIST-“responders” (-47±3%); in “non-responders” it elevated (+79±19%, p< 0.0005). NETest monitoring accuracy 98% (119/122). Follow-up levels > 40 (progressive) vs stable ( 97%) with the pretreatment PPQ response predictor.
Details
- ISSN :
- 15277755 and 0732183X
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Oncology
- Accession number :
- edsair.doi...........c313e53d0f9a1de4d33b5bd2c5d2b562