作者
Helen Dinter, Hanibal Bohnenberger, Julia Beck, Kirsten Bornemann-Kolatzki, Ekkehard Schütz, Stefan Küffer, Lukas Klein, Teri J Franks, Anja Roden, Alexander Emmert, Marc Hinterthaner, Mirella Marino, Luka Brcic, Helmut Popper, Cleo-Aron Weis, Giuseppe Pelosi, Alexander Marx, Philipp Ströbel
发表日期
2019/8/1
期刊
Journal of Thoracic Oncology
卷号
14
期号
8
页码范围
1472-1483
出版商
Elsevier
简介
Introduction
The WHO classification of pulmonary neuroendocrine tumors (PNETs) is also used to classify thymic NETs (TNETs) into typical and atypical carcinoid (TC and AC), large cell neuroendocrine carcinoma (LCNEC), and small cell carcinoma (SCC), but little is known about the usability of alternative classification systems.
Methods
One hundred seven TNET (22 TC, 51 AC, 28 LCNEC, and 6 SCC) from 103 patients were classified according to the WHO, the European Neuroendocrine Tumor Society, and a grading-related PNET classification. Low coverage whole-genome sequencing and immunohistochemical studies were performed in 63 cases. A copy number instability (CNI) score was applied to compare tumors. Eleven LCNEC were further analyzed using targeted next-generation sequencing. Morphologic classifications were tested against molecular features.
Results
Whole-genome sequencing data fell …
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