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: Pancreatic neuroendocrine neoplasms (PNENs) remain challenging to diagnose, with limited reliable serum biomarkers available for early detection and prognostication.
Conference:
Presenting Author: Janas K
Authors: Janas K, Rosiek V, Kos-Kudła B,
Keywords: NEN, biomarker, analysis, diagnostic, pancreatic tumour,
Introduction: The NETest 2.0 is a PCR assay of circulating mRNA, scored 0-100. It has been developed as a biomarker to diagnose neuroendocrine neoplasia (NEN) and to provide tumour prognostic information.
Conference:
Presenting Author: Chirindel A
Authors: Chirindel A, Wild D, Voegeli M, de Dosso S, Siebenhüner A,
Keywords: NETest, tumour biomarker, NEN, disease presence, disease progression,
Introduction: The association between serum biomarker levels and tumour burden is less studied in GEP-NET.
Conference:
Presenting Author: Jumai N
Authors: Jumai N, Chen L, Yusufu Y, Yan X, Liu M,
Keywords: Neuroendocrine tumour, tumour burden, prognosis, biomarker,
Introduction: An unmet need in NEN diagnosis is better risk stratification for individuals with suspected disease (based on symptoms or imaging), enabling efficient identification of those needing further evaluation and tissue diagnosis, thus speeding the process and reducing costs. NETest 2.0, a biomarker based on a 51-gene mRNA panel, was developed for diagnosing neuroendocrine neoplasia (NEN).
Conference:
Presenting Author: Chirindel A
Authors: Chirindel A, Wild D, Voegeli M, de Dosso S, Siebenhüner A,
Keywords: NETest, tumour biomarker, at-risk population, NEN,
Introduction: Metastatic liver tumour burden (LTB) is a prognostic factor affecting the survival of gastroenteropancreatic neuroendocrine tumours (GEP-NETs), but evaluation of the LTB usually depends on radiologic and functional imaging.
Conference:
Presenting Author:
Authors: Jumai N, Chen L, Liu M, He Q, Zeng Z,
Keywords: liver tumour burden, prognosis, GEP-NET,