Abstract Library

#1883 Utility of a Circulating NET mRNA Gene Signature for Defining Bronchopulmonary Neuroendocrine Neoplasia and Evaluating Disease Progression

Introduction: Bronchopulmonary NETs (BPNETs) exhibit indolent to aggressive behavior. Imaging, histology and biochemistry are limited in accurately defining malignancy or progression. A blood based NET multigene test is effective in diagnosing GEP-NET progression and therapy response.

Conference: 14th Annual ENETSConcerence (2017)

Presenting Author: Kidd M

Authors: Lewczuk A, Chung K, Kolasińska-Ćwikła A, Ćwikła J, Kidd M,

Keywords: NET,

#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,

#1524 Is mTOR Pathway Activity a Good Predictor for Everolimus Therapy? A Pilot Study to Build Up a Phase II Trial in Pancreatic Neuroendocrine Neoplasias (pNENs)

Introduction: Everolimus (EVE) is an approved treatment for progressive well-differentiated pNENs and usually induces stable disease. Until now, there is no reliable biomarker for the response to EVE.

Conference: 13th Annual ENETSConcerence (2016)

Presenting Author: Lock A

Authors: Lock A, Wirtz R, Kaemmerer D, Haugvik S, Kure E,

Keywords: PREDICT-Study, everolimus, pNEN, gene signature, predictive marker,

#1497 Circulating Neuroendocrine Tumor Gene Signature, the NETest, Defines Therapy in GEP-NETs

Introduction: Early and precise delineation of therapeutic responses are key issues in GEP-NET management. Imaging has limitations in sensitivity while secretory biomarkers e.g., CgA is controversial.

Conference: 13th Annual ENETSConcerence (2016)

Presenting Author: Kolasinska-Cwikla A

Authors: Kolasińska-Ćwikła A, Cwikła J, Bodei L, Sankowski A, Drozdov I,

Keywords: NETest, CgA, PCR,

#1485 Validation of a Blood Neuroendocrine Tumor Gene Signature, the NETest, in a Netherlands NET Cohort

Introduction: The CgA has limitations as a monoanalyte biomarker. The introduction of a PCR-based multi-analyte analysis of 51 genes (NETest) has been proposed as more accurate.

Conference: 13th Annual ENETSConcerence (2016)

Presenting Author:

Authors: Tesselaar M, Korse T, Kidd M, Verbeek W, Drozdov I,

Keywords: NETest, CgA, PCR, progressive disease,