Abstract Library

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#2922 Clinicopathological Characteristics of Borderline Pulmonary Neuroendocrine Neoplasms

Introduction: According to the WHO 2015 classification pulmonary neuroendocrine neoplasms (NENs) are subdivided in carcinoids and neuroendocrine carcinoma (small cell lung carcinoma and large cell neuroendocrine carcinoma (LCNEC)), based on the presence of necrosis and mitotic index (MI). However, in some NENs a discrepancy is observed between grade of differentiation and proliferation rate.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Hermans B, Derks J, Moonen L, Habraken C, von der Thusen J,

Keywords: Borderline tumor, NET grade 3, LCNEC, atypical carcinoid, WHO-classification,

#2865 Can the Efficacy of Etoposide-Platinum Chemotherapy Be Predicted by p53/pRb Status in Grade 3 Neuroendocrine Neoplasms (G3 NEN)?

Introduction: Etoposide-platinum (EP) chemotherapy has long stood as the reference treatment of grade 3 neuroendocrine neoplasms (G3 NEN). However, G3 NEN are heterogeneous, including well differentiated tumours (NET) and poorly differentiated carcinomas of large (LCNEC) or small (SCNEC) cell type, whose identification can be challenging and response to EP be very variable, usually low in NET.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Lacombe C, De Rycke O, Chen R, Colnot N, Hentic O,

Keywords: grade 3, chemotherapy, biomarkers, etoposide-platinum, pRb, p53,

#1003 Signalling Pathways in Bronchial Neuroendocrine Tumor Disease and Its Translation to Innovative Targets: The New Kid on the Block

Introduction: Bronchial neuroendocrine neoplasias comprise a wide spectrum of well-differentiated tumors (typical/atypical carcinoids) to undifferentiated carcinomas such as small (SCLC) and large cell (LC) neuroendocrine carcinomas with a fatal prognosis. Therapeutic options are unsatisfactory.

Conference: 11th Annual ENETSConcerence (2014)

Presenting Author: Lewens F

Authors: Lewens F, Freitag H, Briest F, Heilmann M, Schneider C,

Keywords: bronchial, NETs, PI3K, FoxM1, survivin, cell lines, SCLC,