Abstract Library
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ENETS Abstract Search
Introduction: Rb and p53 status may help distinguishing well from poorly differentiated neuroendocrine neoplasms (NEN) and may predict response to chemotherapy. Studies correlating Rb/p53 genetic and immunohistochemistry were performed on high-quality frozen samples with high throughput techniques efficient for copy number determination. This situation differs from routine practice in which small deletions may be hard to detect on formalin-fixed paraffin-embedded (FFPE) samples with a gene panel approach.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Cros J
Authors: Chen R, Lacroix L, De Rycke O, Lacombe C, Cazes A,
Keywords: rb, p53, aggressive neuroendocrine tumors, biomarker,
Introduction: Pancreatic neuroendocrine tumors (NETs) are rare malignancies, Ki-67 is a cell proliferation marker that has been shown to have some utility in predicting prognosis of neuroendocrine tumors. However, the ideal grading method for G1/G2 remains controversial.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Tan H
Authors: Yuan B, Chen Y, Zhang P, Wang X, Tan H,
Keywords: Pancreatic net, G1, G2, Ki-67, overall survival time,
#3008 A Single-Center Retrospective Analysis of Thymic Neuroendocrine Tumor
Introduction: Thymic neuroendocrine tumor (NET) is a rare type of tumor located in the anterior mediastinum.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author:
Authors: Chen J,
Keywords: thymic neuroendocrine tumor, atypical carcinoid,
Introduction: There are still few large-scale sequencing data to depict the genomic landscape of neuroendocrine neoplasms (NEN).
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Chen L
Authors: Chen L, Liu M, Zhang Y, Guo Y, Chen M,
Keywords: Genomics, neuroendocrine neoplasm, survival,
Introduction: How to predict the efficacy of sunitinib before treatment initiation was less known.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author:
Authors: Zhang Y, Chen L, Wang W, Jin K, Yuan B,
Keywords: sunitinib, computed tomography, efficacy prediction,