Abstract library

3 results for "beta-catenin".
#87 Alterations of E-cadherin, beta-catenin and caveolin-1 expression in gastroenteropancreatic neuroendocrine tumors
Introduction: Gastroenteropancreatic neuroendocrine tumors (GEP NETs) comprise a heterogeneous group of neoplasm with different histological patterns and biological behavior. Only limited information is available on immunohistochemical prognostic factors of disease. Alterations in the cell-cell adhesion system are closely associated with cell invasion and metastasis in many malignancies, including those of endocrine origin. Abnormal expression of E-cadherin and beta-catenin has been reported to play an important role in these processes. Caveolin-1 has recently been identified as a tumor metastasis modifier factor, which might increase the cell metastasis potential through the interaction with E-cadherin. However, the role of caveolin-1 in GEP NETs cell invasion remains unknown.
Conference: 7th Annual ENETS Conference (2010)
Category: Clinical
Presenting Author: Vera V Delektorskaya
#182 Ki-67 (MIB-1) Proliferative Activity and Beta-Catenin Immunoexpression in Liver Metastases of Gastroenteropancreatic Neuroendocrine Tumors
Introduction: Assessment of liver metastases biology features associated with cell proliferation and adhesion has a strong prognostic impact in patients with gastroenteropancreatic (GEP) neuroendocrine carcinomas.
Conference: 8th Annual ENETS Conference (2011)
Category: Clinical
Presenting Author: MD, PhD Vera V. Delektorskaya
#2037 Stromal Immune Contexture Predicts Disease-Free Survival in Gastro-Entero-Pancreatic Neuroendocrine Neoplasms (GEP-NENs)
Introduction: Stromal Immune Contexture (SIC) helps predict prognosis in solid Tumors (T) but has been poorly investigated in gastro-entero-pancreatic neuroendocrine neoplasms (GEP-NENs). We tested whether GEP-NENs profiling for adaptive immunity-related SIC markers, as well as inflammatory (COX2),EMT [Beta-catenin (B-cat)] and oncogenic pathway signaling (pS6) markers,could improve Ki67 and/or MO-based prediction of OS and DFS.
Conference: 15th Annual ENETS conference (2018)
Category: Basic Science - Signaling pathways, receptors, biomarkers
Presenting Author: MD, PhD Massimo Milione
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