The International Association for the Study of Lung Cancer Pleural Mesothelioma Staging Project: Updated Modeling of Prognostic Factors in Pleural Mesothelioma.


Journal

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
ISSN: 1556-1380
Titre abrégé: J Thorac Oncol
Pays: United States
ID NLM: 101274235

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 25 04 2023
revised: 02 08 2023
accepted: 04 08 2023
medline: 27 11 2023
pubmed: 12 8 2023
entrez: 11 8 2023
Statut: ppublish

Résumé

The International Association for the Study of Lung Cancer developed an international pleural mesothelioma database to improve staging. Data entered from 1995 to 2009 (training data set) were analyzed previously to evaluate supplemental prognostic factors. We evaluated these factors with new clinical data to determine whether the previous models could be improved. Patients entered into the database from 2009 to 2019 (validation cohort) were assessed for the association between previous prognosticators and overall survival using Cox proportional hazards regression with bidirectional stepwise selection. Additional variables were analyzed and models were compared using Harrell's C-index. The training data set included 3101 patients and the validation cohort, 1733 patients. For the multivariable pathologic staging model applied to the training cohort, C-index was 0.68 (95% confidence interval [CI]: 0.656-0.705). For the validation data set (n = 497), C-index was 0.650 (95% CI: 0.614-0.685), and pathologic stage, histologic diagnosis, sex, adjuvant therapy, and platelet count were independently associated with survival. Adding anemia to the model increased the C-index to 0.652 (95% CI: 0.618-0.686). A basic presentation model including all parameters before staging yielded a C-index of 0.668 (95% CI: 0.641-0.695). In comparison, the European Organization for Research and Treatment of Cancer model yielded C-indices of 0.550 (95% CI: 0.511-0.589) and 0.577 (95% CI: 0.550-0.604) for pathologic staging and presentation models, respectively. Although significant predictors differed slightly, the International Association for the Study of Lung Cancer training model performed well in the validation set and better than the model of the European Organization for Research and Treatment of Cancer. International collaboration is critical to improve outcomes in this rare disease.

Identifiants

pubmed: 37567386
pii: S1556-0864(23)00725-6
doi: 10.1016/j.jtho.2023.08.005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1689-1702

Informations de copyright

Copyright © 2023 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Auteurs

Andrea S Wolf (AS)

Department of Thoracic Surgery, The Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: andrea.wolf@mountsinai.org.

Adam Rosenthal (A)

Cancer Research and Biostatistics, Seattle, Washington.

Dorothy J Giroux (DJ)

Cancer Research and Biostatistics, Seattle, Washington.

Anna K Nowak (AK)

Medical School of the University of Western Australia, Crawley, Western Australia, Australia.

Andrea Bille (A)

Department of Thoracic Surgery, Guy's Hospital, London, United Kingdom.

Marc de Perrot (M)

Division of Thoracic Surgery, Toronto General Hospital, Ontario, Canada.

Hedy L Kindler (HL)

Section of Hematology/Oncology, University of Chicago, Chicago, Illinois.

David Rice (D)

Department of Thoracic and Cardiovascular Surgery, MD Anderson Cancer Center, Houston, Texas.

Isabelle Opitz (I)

Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.

Valerie W Rusch (VW)

Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.

Harvey I Pass (HI)

Department of Cardiothoracic Surgery, New York University (NYU) Langone Medical Center, New York, New York.

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Classifications MeSH