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#2745 Integrative Genomic Characterization Identifies Molecular Subtypes of Lung Carcinoids
Introduction: Lung carcinoids (LCs) are rare and slow growing primary lung neuroendocrine tumors. The WHO classify LCs into atypical and typical carcinoids. Recent studies have shown that the reproducibility of LCs classification and its prognostic efficacy have high interobserver variability
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Laddha S
Authors: Laddha S, da Silva E, Robzyk K, Untch B, Ke H,
Keywords: MEN1, Lung Carcinoid, Lung Cancer, ASCL1, Novel Molecular Subtypes, Genotype to Phenotype, Integrative Genomic Analysis, Biomarkers, Genomics and Epigenomics,
Introduction: Pulmonary carcinoids (PC) are well-differentiated NETs and are classified as typical carcinoid (TC) and atypical carcinoid (AC). Despite the fact that TC and AC exhibit significant differences in patient survival, their classification depends on relatively subtle differences in mitotic count (MC). Although careful counting of mitotic figures (MF) is essential, it is a very subjective task, time-consuming and lacks of sensitivity and interobserver reproducibility, due to selection bias of the hot spots, heterogeneous distribution of MF, difficulty in distinguishing MF from similar chromatin changes (i.e. in apoptotic cells or due to crush, karyorrhectic debris, pyknosis or apoptosis).
Conference: 15th Annual ENETSConcerence (2018)
Presenting Author: Luong T
Authors: Luong T, McCaughran W, Caplin M, Toumpanakis C, Thirlwell C,
Keywords: Phosphohistone H3, Pulmonary Carcinoids, Typical Carcinoid, Atypical Carcinoid, Mitotic Count, H&E,
Introduction: The reliability of RECIST evaluation in patients with NET has not yet been analyzed.
Conference: 11th Annual ENETSConcerence (2014)
Presenting Author:
Authors: Arfi Rouche J, Foulon S, Caramella C, Ternes N, Planchard D,
Keywords: CT, MRI, liver, metastasis, reproducibility, RECIST,
Introduction: Lung neuroendocrine tumors are catalogued into four categories by the World Health Organization (WHO 2004) classification. Its reproducibility and prognostic efficacy was disputed. The WHO 2010 classification of digestive neuroendocrine neoplasms is based on a Ki-67 index and has proved prognostically effective.
Conference: 11th Annual ENETSConcerence (2014)
Presenting Author:
Authors: Rindi G, Klersy C, Inzani F,
Keywords: lung, neuroendocrine cancer, Ki-67, grading,
Introduction: Ki-67 proliferation index is an increasingly important biomarker used to grade neuroendocrine tumors. Manual counting methods are laborious and subject to inter- and intra-observer variability. Digital counting methods hold promise for fast and reproducible indices, however, they are fraught with technical difficulties.
Conference: 11th Annual ENETSConcerence (2014)
Presenting Author:
Authors: Neltner J, Su H, Xing F, Rosser J, Cibull M,
Keywords: digital pathology, automated Ki-67 counting, image analysis,