Abstract Library
Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.
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ENETS Abstract Search
Introduction: A universal NET liquid biopsy biomarker is required for optimal management of NET disease.
Conference: 18th Annual ENETS Concerence (2021)
Presenting Author: Modlin I
Authors: Modlin I, Kidd M, Drozdov I, Alexandra K,
Keywords: NETest, biomarker, liquid biopsy, diagnostic,
#1916 Circulating Neuroendocrine Transcripts and Gene Cluster Analysis Predict the Efficacy of PRRT
Introduction: Prediction of PRRT efficacy is critical. We tested a blood-based multigene NET transcript analysis (NETest) to predict efficacy in 2 PRRT-treated NET cohorts. The algorithm comprises >50 genes + clusters of growth factor signaling (GFS) and metabolism (MTB).
Conference: 14th Annual ENETSConcerence (2017)
Presenting Author: Bodei L
#1881 A Gene Expression-Based Nomogram Predicts Progression Free Survival in Small Bowel NETs
Introduction: Nomograms are predictive tools that help prognosticate. A survival nomogram has been validated for small bowel NETs. A circulating NET specific 51gene signature – the NETest – has efficacy (~95%) as a predictor of progression free survival (PFS).
Conference: 14th Annual ENETSConcerence (2017)
Presenting Author: Kidd M
Authors: Kidd M, Tesselaar M, Korse T, Verbeek W, Drozdov I,
Keywords: Nomogram, prognosis, NETest, PFS, grade, biomarker,
#1879 A Hybrid Clinical Molecular Nomogram Accurately Predicts Survival in PRRT Treated GEP-NETs
Introduction: Clinical assessment has limited prognostic ability. Mathematical tools –nomograms- that incorporate multiple parameters are more effective. Novel transcriptomic data has added value in defining NET biology in tissue and blood. A blood multigene expression analysis test is effective as a molecular prognostic marker for PFS.
Conference: 14th Annual ENETSConcerence (2017)
Presenting Author: Kidd M
Authors: Kidd M, Bodei L, Severi S, Drozdov I, Nicolini S,
Keywords: PRRT, nomogram, NETest, biomarker, OS, PFS, prediction,
Introduction: A key issue in GEP-NETs is early identification and prediction of disease progression. Clinical evaluation and imaging are limited due to the lack of sensitivity and disease indolence.
Conference: 13th Annual ENETSConcerence (2016)
Presenting Author: Kidd M
Authors: Pavel M, Jann H, Prasad V, Drozdov I, Modlin I,
Keywords: PCR,