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The International Association for the Study of Lung Cancer Pleural Mesothelioma Staging Project: Updated Modeling of Prognostic Factors in Pleural Mesothelioma.
Wolf, Andrea S; Rosenthal, Adam; Giroux, Dorothy J; Nowak, Anna K; Bille, Andrea; de Perrot, Marc; Kindler, Hedy L; Rice, David; Opitz, Isabelle; Rusch, Valerie W; Pass, Harvey I.
Afiliação
  • Wolf AS; Department of Thoracic Surgery, The Icahn School of Medicine at Mount Sinai, New York, New York. Electronic address: andrea.wolf@mountsinai.org.
  • Rosenthal A; Cancer Research and Biostatistics, Seattle, Washington.
  • Giroux DJ; Cancer Research and Biostatistics, Seattle, Washington.
  • Nowak AK; Medical School of the University of Western Australia, Crawley, Western Australia, Australia.
  • Bille A; Department of Thoracic Surgery, Guy's Hospital, London, United Kingdom.
  • de Perrot M; Division of Thoracic Surgery, Toronto General Hospital, Ontario, Canada.
  • Kindler HL; Section of Hematology/Oncology, University of Chicago, Chicago, Illinois.
  • Rice D; Department of Thoracic and Cardiovascular Surgery, MD Anderson Cancer Center, Houston, Texas.
  • Opitz I; Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
  • Rusch VW; Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Pass HI; Department of Cardiothoracic Surgery, New York University (NYU) Langone Medical Center, New York, New York.
J Thorac Oncol ; 18(12): 1689-1702, 2023 12.
Article em En | MEDLINE | ID: mdl-37567386
ABSTRACT

INTRODUCTION:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pleurais / Mesotelioma Maligno / Neoplasias Pulmonares / Mesotelioma Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pleurais / Mesotelioma Maligno / Neoplasias Pulmonares / Mesotelioma Idioma: En Ano de publicação: 2023 Tipo de documento: Article