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- Kerr, Keith M2
- Nicholson, Andrew G2
- Papotti, Mauro2
- Travis, William D2
- Yatabe, Yasushi2
- Beasley, Mary Beth1
- Borczuk, Alain C1
- Brambilla, Elisabeth1
- Cooper, Wendy A1
- Dacic, Sanja1
- Hirsch, Fred R1
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- Noguchi, Masayuki1
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- Rekhtman, Natasha1
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- Sholl, Lynette1
- Tsao, Ming S1
- Tsao, Ming-Sound1
- van Schil, Paul1
- Wistuba, Ignacio I1
- Yoshida, Akihiko1
Pathology Articles
3 Results
- State of the Art: Concise Review
The 2021 WHO Classification of Lung Tumors: Impact of Advances Since 2015
Journal of Thoracic OncologyVol. 17Issue 3p362–387Published online: November 19, 2021- Andrew G. Nicholson
- Ming S. Tsao
- Mary Beth Beasley
- Alain C. Borczuk
- Elisabeth Brambilla
- Wendy A. Cooper
- and others
Cited in Scopus: 114The 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. - State of the Art: Concise ReviewOpen Archive
Programmed Death-Ligand 1 Immunohistochemistry in Lung Cancer: In what state is this art?
Journal of Thoracic OncologyVol. 10Issue 7p985–989Published in issue: July, 2015- Keith M. Kerr
- Ming-Sound Tsao
- Andrew G. Nicholson
- Yasushi Yatabe
- Ignacio I. Wistuba
- Fred R. Hirsch
- and others
Cited in Scopus: 228Therapeutic antibodies to programmed death receptor 1 (PD-1) and its ligand PD-L1 show promising clinical results. Anti-PD-L1 immunohistochemistry (IHC) may be a biomarker to select patients more likely to respond to these treatments. However, the development of at least four different therapeutics, each with a different anti-PD-L1 IHC assay, has raised concerns among pathologists and oncologists alike. This article reviews existing data on the IHC biomarker aspects of studies using these drugs in non–small-cell lung cancer (NSCLC) and considers the challenges ahead, should these drug/IHC assay combinations reach routine practice. - State of the Art: Concise ReviewOpen Archive
Ki-67 Antigen in Lung Neuroendocrine Tumors: Unraveling a Role in Clinical Practice
Journal of Thoracic OncologyVol. 9Issue 3p273–284Published in issue: March, 2014- Giuseppe Pelosi
- Guido Rindi
- William D. Travis
- Mauro Papotti
Cited in Scopus: 140Classification of lung neuroendocrine (NE) tumors is a step-wise process with four tumor categories being identified by morphology, namely typical carcinoid (TC), atypical carcinoid, large-cell NE carcinoma, and small-cell lung carcinoma (SCLC). Ki-67 antigen or protein (henceforth simply Ki-67) has been largely studied in these tumors, but the clinical implications are so far not clear. A well-defined role has regarded the diagnostic use in the separation of TC and AC from SCLC in nonsurgical specimens, with monoclonal antibody MIB-1 resulting in the most used reagent after antigen retrieval procedures.