Literature DB >> 31097087

Characteristics of 252 patients with bronchopulmonary neuroendocrine tumours treated at the Copenhagen NET Centre of Excellence.

V Grøndahl1, T Binderup2, S W Langer3, R H Petersen4, K Nielsen5, A Kjaer2, B Federspiel6, U Knigge5.   

Abstract

BACKGROUND: Bronchopulmonary neuroendocrine tumours are divided into typical carcinoid (TC), atypical carcinoid (AC), large cell neuroendocrine carcinoma (LCNEC), and small cell lung cancer (SCLC). AIM: To thoroughly describe a cohort of 252 patients with TC, AC and LCNEC (SCLC excluded).
MATERIAL AND METHODS: Collection of data from 252 patients referred to and treated at Rigshospitalet 2008-2016. Data was collected from electronic patient files and our prospective NET database. Statistics were performed in SPSS.
RESULTS: 162 (64%) had TC, 29 (12%) had AC and 61 (24%) had LCNEC. Median age at diagnosis was 69 years (range: 19-89) with no difference between genders. Thoraco-abdominal CT was performed in all patients at diagnosis. FDG-PET/CT was performed in 207 (82%) at diagnosis and was positive in 95% of the entire cohort, with no difference between tumour types. Synaptophysin was positive in 98%, chromogranin A in 92% and CD56 in 97%. Mean Ki67 index was 5% in TC, 16% in AC and 69% in LCNEC (p < 0.001). Metastatic disease was found in 4% of TC, 27% of AC and 58% of LCNEC at time of initial diagnosis (p < 0.001). In total 179 patients (71%) underwent surgical resection; TC: 87%, AC: 72% and LCNEC: 28% (p < 0.001). Of the resected patients, 11 (6%) had recurrence. Five-year survival rate was 88% for TC, 63% for AC and 20% for LCNEC.
CONCLUSION: In this comprehensive study of a cohort of 252 patients, one of the largest until date, with TC, AC and LCNEC, the gender distribution showed female predominance with 68%. FDG-PET/CT was positive in 95% of the patients independent of tumour type, which confirms that FDG-PET/CT should be a part of the preoperative work-up for TC, AC and LCNEC. Tumour type was the single most potent independent prognostic factor.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atypical carcinoid; Bronchial neuroendocrine tumour; Bronchopulmonale tumour; Carcinoid tumour; FDG-PET; Ki67 index; Large cell neuroendocrine tumour; Mitotic count; Neuroendocrine neoplasm; Neuroendocrine tumour; Typical carcinoid

Mesh:

Year:  2019        PMID: 31097087     DOI: 10.1016/j.lungcan.2019.03.013

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  4 in total

1.  Diagnostic Value of Conventional PET Parameters and Radiomic Features Extracted from 18F-FDG-PET/CT for Histologic Subtype Classification and Characterization of Lung Neuroendocrine Neoplasms.

Authors:  Philippe Thuillier; Virginia Liberini; Osvaldo Rampado; Elena Gallio; Bruno De Santi; Francesco Ceci; Jasna Metovic; Mauro Papotti; Marco Volante; Filippo Molinari; Désirée Deandreis
Journal:  Biomedicines       Date:  2021-03-10

2.  N-staging in large cell neuroendocrine carcinoma of the lung: diagnostic value of [18F]FDG PET/CT compared to the histopathology reference standard.

Authors:  Hubertus Hautzel; Yazan Alnajdawi; Wolfgang P Fendler; Christoph Rischpler; Kaid Darwiche; Wilfried E Eberhardt; Lale Umutlu; Dirk Theegarten; Martin Stuschke; Martin Schuler; Clemens Aigner; Ken Herrmann; Till Plönes
Journal:  EJNMMI Res       Date:  2021-07-22       Impact factor: 3.138

3.  Clinic and genetic similarity assessments of atypical carcinoid, neuroendocrine neoplasm with atypical carcinoid morphology and elevated mitotic count and large cell neuroendocrine carcinoma.

Authors:  Ying Zhang; Weiya Wang; Zuoyu Liang; Ping Zhou; Yuan Tang; Lili Jiang; Qianrong Hu
Journal:  BMC Cancer       Date:  2022-03-24       Impact factor: 4.430

4.  Optimal Cut-Off Values of the Positive Lymph Node Ratio and the Number of Removed Nodes for Patients Receiving Resection of Bronchopulmonary Carcinoids: A Propensity Score-Weighted Analysis of the SEER Database.

Authors:  Qichen Chen; Mingxia Li; Pan Wang; Jinghua Chen; Hong Zhao; Jun Zhao
Journal:  Front Oncol       Date:  2021-07-21       Impact factor: 6.244

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.