Literature DB >> 32562873

A Grading System for Invasive Pulmonary Adenocarcinoma: A Proposal From the International Association for the Study of Lung Cancer Pathology Committee.

Andre L Moreira1, Paolo S S Ocampo2, Yuhe Xia3, Hua Zhong3, Prudence A Russell4, Yuko Minami5, Wendy A Cooper6, Akihiko Yoshida7, Lukas Bubendorf8, Mauro Papotti9, Giuseppe Pelosi10, Fernando Lopez-Rios11, Keiko Kunitoki12, Dana Ferrari-Light13, Lynette M Sholl14, Mary Beth Beasley15, Alain Borczuk16, Johan Botling17, Elisabeth Brambilla18, Gang Chen19, Teh-Ying Chou20, Jin-Haeng Chung21, Sanja Dacic22, Deepali Jain23, Fred R Hirsch24, David Hwang25, Sylvie Lantuejoul26, Dongmei Lin27, John W Longshore28, Noriko Motoi7, Masayuki Noguchi29, Claudia Poleri30, Natasha Rekhtman31, Ming-Sound Tsao32, Erik Thunnissen33, William D Travis31, Yasushi Yatabe7, Anja C Roden34, Jillian B Daigneault35, Ignacio I Wistuba36, Keith M Kerr37, Harvey Pass13, Andrew G Nicholson38, Mari Mino-Kenudson39.   

Abstract

INTRODUCTION: A grading system for pulmonary adenocarcinoma has not been established. The International Association for the Study of Lung Cancer pathology panel evaluated a set of histologic criteria associated with prognosis aimed at establishing a grading system for invasive pulmonary adenocarcinoma.
METHODS: A multi-institutional study involving multiple cohorts of invasive pulmonary adenocarcinomas was conducted. A cohort of 284 stage I pulmonary adenocarcinomas was used as a training set to identify histologic features associated with patient outcomes (recurrence-free survival [RFS] and overall survival [OS]). Receiver operating characteristic curve analysis was used to select the best model, which was validated (n = 212) and tested (n = 300, including stage I-III) in independent cohorts. Reproducibility of the model was assessed using kappa statistics.
RESULTS: The best model (area under the receiver operating characteristic curve [AUC] = 0.749 for RFS and 0.787 for OS) was composed of a combination of predominant plus high-grade histologic pattern with a cutoff of 20% for the latter. The model consists of the following: grade 1, lepidic predominant tumor; grade 2, acinar or papillary predominant tumor, both with no or less than 20% of high-grade patterns; and grade 3, any tumor with 20% or more of high-grade patterns (solid, micropapillary, or complex gland). Similar results were seen in the validation (AUC = 0.732 for RFS and 0.787 for OS) and test cohorts (AUC = 0.690 for RFS and 0.743 for OS), confirming the predictive value of the model. Interobserver reproducibility revealed good agreement (k = 0.617).
CONCLUSIONS: A grading system based on the predominant and high-grade patterns is practical and prognostic for invasive pulmonary adenocarcinoma.
Copyright © 2020 International Association for the Study of Lung Cancer. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma; Lung; Model; Prognosis; Tumor grading

Mesh:

Year:  2020        PMID: 32562873      PMCID: PMC8362286          DOI: 10.1016/j.jtho.2020.06.001

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


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