The 2021 WHO Classification of Lung Tumors: Impact of Advances Since 2015

医学 分级(工程) SMARCA4型 病理 免疫组织化学 肺 腺瘤 内科学 生物 生态学 遗传学 染色质 染色质重塑 DNA
作者
Andrew G. Nicholson,Ming‐Sound Tsao,Mary Beth Beasley,Alain Borczuk,Élisabeth Brambilla,Wendy A. Cooper,Sanja Đačić,Deepali Jain,Keith M. Kerr,Sylvie Lantuéjoul,Masayuki Noguchi,Mauro Papotti,Natasha Rekhtman,Giorgio V. Scagliotti,Paul Van Schil,Lynette M. Sholl,Yasushi Yatabe,Akihiko Yoshida,William D. Travis
出处
期刊:Journal of Thoracic Oncology [Elsevier BV]
卷期号:17 (3): 362-387 被引量:1467
标识
DOI:10.1016/j.jtho.2021.11.003
摘要

The 2021 WHO Classification of Thoracic Tumours was published earlier this year, with classification of lung tumors being one of the chapters. The principles remain those of using morphology first, supported by immunohistochemistry, and then molecular techniques. In 2015, there was particular emphasis on using immunohistochemistry to make classification more accurate. In 2021, there is greater emphasis throughout the book on advances in molecular pathology across all tumor types. Major features within this edition are (1) broader emphasis on genetic testing than in the 2015 WHO Classification; (2) a section entirely dedicated to the classification of small diagnostic samples; (3) continued recommendation to document percentages of histologic patterns in invasive nonmucinous adenocarcinomas, with utilization of these features to apply a formal grading system, and using only invasive size for T-factor size determination in part lepidic nonmucinous lung adenocarcinomas as recommended by the eighth edition TNM classification; (4) recognition of spread through airspaces as a histologic feature with prognostic significance; (5) moving lymphoepithelial carcinoma to squamous cell carcinomas; (6) update on evolving concepts in lung neuroendocrine neoplasm classification; (7) recognition of bronchiolar adenoma/ciliated muconodular papillary tumor as a new entity within the adenoma subgroup; (8) recognition of thoracic SMARCA4-deficient undifferentiated tumor; and (9) inclusion of essential and desirable diagnostic criteria for each tumor.
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