Literature DB >> 34808341

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

Andrew G Nicholson1, Ming S Tsao2, Mary Beth Beasley3, Alain C Borczuk4, Elisabeth Brambilla5, Wendy A Cooper6, Sanja Dacic7, Deepali Jain8, Keith M Kerr9, Sylvie Lantuejoul10, Masayuki Noguchi11, Mauro Papotti12, Natasha Rekhtman13, Giorgio Scagliotti12, Paul van Schil14, Lynette Sholl15, Yasushi Yatabe16, Akihiko Yoshida16, William D Travis13.   

Abstract

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. Crown
Copyright © 2021. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma; Cancer; Immunohistochemistry; Lung; Molecular pathology; Pathology; Squamous cell carcinoma

Mesh:

Substances:

Year:  2021        PMID: 34808341     DOI: 10.1016/j.jtho.2021.11.003

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   20.121


  45 in total

1.  Low-grade tracheal adenocarcinoma with ETV6::NTRK3 fusion: unique morphology akin to subsets of sinonasal low-grade non-intestinal-type adenocarcinoma.

Authors:  Satsuki Kishikawa; Takuo Hayashi; Junzo Shimizu; Bungo Fuwa; Akitaka Nonomura; Tsuyoshi Saito; Yasushi Yatabe; Takashi Yao
Journal:  Virchows Arch       Date:  2022-06-07       Impact factor: 4.064

Review 2.  Impact of low-dose computed tomography (LDCT) screening on lung cancer-related mortality.

Authors:  Asha Bonney; Reem Malouf; Corynne Marchal; David Manners; Kwun M Fong; Henry M Marshall; Louis B Irving; Renée Manser
Journal:  Cochrane Database Syst Rev       Date:  2022-08-03

3.  Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study.

Authors:  Pranjal Vaidya; Kaustav Bera; Philip A Linden; Amit Gupta; Prabhakar Shantha Rajiah; David R Jones; Matthew Bott; Harvey Pass; Robert Gilkeson; Frank Jacono; Kevin Li-Chun Hsieh; Gong-Yau Lan; Vamsidhar Velcheti; Anant Madabhushi
Journal:  Front Oncol       Date:  2022-05-30       Impact factor: 5.738

4.  Decreased INPP5B expression predicts poor prognosis in lung adenocarcinoma.

Authors:  Jun Deng; Xu Lin; Qi Li; Xiao-Yu Cai; Lin-Wen Wu; Wei Wang; Bo Zhang; Yang-Ling Li; Jian Hu; Neng-Ming Lin
Journal:  Cancer Cell Int       Date:  2022-05-14       Impact factor: 6.429

5.  Surgical Options for Resectable Lung Adenosquamous Carcinoma: A Propensity Score-Matched Analysis.

Authors:  Shuncang Zhu; Tao Ge; Yicheng Xiong; Jing Zhang; Di Zhu; Liangdong Sun; Nan Song; Peng Zhang
Journal:  Front Oncol       Date:  2022-07-01       Impact factor: 5.738

Review 6.  The state of the art for artificial intelligence in lung digital pathology.

Authors:  Vidya Sankar Viswanathan; Paula Toro; Germán Corredor; Sanjay Mukhopadhyay; Anant Madabhushi
Journal:  J Pathol       Date:  2022-06-20       Impact factor: 9.883

Review 7.  Identification of Targetable Liabilities in the Dynamic Metabolic Profile of EGFR-Mutant Lung Adenocarcinoma: Thinking beyond Genomics for Overcoming EGFR TKI Resistance.

Authors:  Anastasios Gkountakos; Giovanni Centonze; Emanuele Vita; Lorenzo Belluomini; Michele Milella; Emilio Bria; Massimo Milione; Aldo Scarpa; Michele Simbolo
Journal:  Biomedicines       Date:  2022-01-26

Review 8.  Large Cell Neuroendocrine Carcinoma of the Lung: Current Understanding and Challenges.

Authors:  Elisa Andrini; Paola Valeria Marchese; Dario De Biase; Cristina Mosconi; Giambattista Siepe; Francesco Panzuto; Andrea Ardizzoni; Davide Campana; Giuseppe Lamberti
Journal:  J Clin Med       Date:  2022-03-07       Impact factor: 4.241

Review 9.  Updated Prognostic Factors in Localized NSCLC.

Authors:  Simon Garinet; Pascal Wang; Audrey Mansuet-Lupo; Ludovic Fournel; Marie Wislez; Hélène Blons
Journal:  Cancers (Basel)       Date:  2022-03-09       Impact factor: 6.639

Review 10.  Application of Artificial Intelligence in Lung Cancer.

Authors:  Hwa-Yen Chiu; Heng-Sheng Chao; Yuh-Min Chen
Journal:  Cancers (Basel)       Date:  2022-03-08       Impact factor: 6.639

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