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A grading system for invasive pulmonary adenocarcinoma : a proposal from the International Association for the Study of Lung Cancer Pathology Committee

  • Andre L. Moreira
  • , Paolo S. S. Ocampo
  • , Yuhe Xia
  • , Hua Zhong
  • , Prudence A. Russell
  • , Yuko Minami
  • , Wendy A. Cooper
  • , Akihiko Yoshida
  • , Lukas Bubendorf
  • , Mauro Papotti
  • , Giuseppe Pelosi
  • , Fernando Lopez-Rios
  • , Keiko Kunitoki
  • , Dana Ferrari-Light
  • , Lynette M. Sholl
  • , Mary Beth Beasley
  • , Alain Borczuk
  • , Johan Botling
  • , Elisabeth Brambilla
  • , Gang Chen
  • Teh-Ying Chou, Jin-Haeng Chung, Sanja Dacic, Deepali Jain, Fred R. Hirsch, David Hwang, Sylvie Lantuejoul, Dongmei Lin, John W. Longshore, Noriko Motoi, Masayuki Noguchi, Claudia Poleri, Natasha Rekhtman, Ming-Sound Tsao, Erik Thunnissen, William D. Travis, Yasushi Yatabe, Anja C. Roden, Jillian B. Daigneault, Ignacio I. Wistuba, Keith M. Kerr, Harvey Pass, Andrew G. Nicholson, Mari Mino-Kenudson

Research output: Contribution to journalArticlepeer-review

527 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)1599-1610
Number of pages12
JournalJournal of Thoracic Oncology
Volume15
Issue number10
DOIs
Publication statusPublished - Oct 2020

Bibliographical note

Publisher Copyright:
© 2020 International Association for the Study of Lung Cancer

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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