TY - JOUR
T1 - The IASLC lung cancer staging project
T2 - Methodology and validation used in the development of proposals for revision of the stage classification of NSCLC in the Forthcoming (Eighth) Edition of the TNM Classification of Lung Cancer
AU - ASLC Staging and Prognostic Factors Committee, Advisory Boards, and Participating Institutions
AU - Detterbeck, Frank C.
AU - Chansky, Kari
AU - Groome, Patti
AU - Bolejack, Vanessa
AU - Crowley, John
AU - Shemanski, Lynn
AU - Kennedy, Catherine
AU - Krasnik, Mark
AU - Peake, Michael
AU - Rami-Porta, Ramón
AU - Nowak, Anna
PY - 2016
Y1 - 2016
N2 - Introduction: Stage classification provides a consistent language todescribe the anatomic extent of disease and is therefore a critical tool in caring for patients. The Staging and Prognostic FactorsCommittee of the InternationalAssociation for the Study of Lung Cancer developed proposals for revision of the classification of lung cancer for the eighth edition of the tumor, node, andmetastasis (TNM) classification,which takes effect in 2017. Methods: An international database of 94,708 patients with lung cancer diagnosed in 1999-2010 was assembled. This article describes the process and statistical methods used to refine the lung cancer stage classification. Results: Extensive analysis allowed definition of tumor, node, and metastasis categories and stage groupings that demonstrated consistent discrimination overall and within multiple different patient cohorts (e.g., clinical or pathologic stage, R0 or R-Any resection status, geographic region). Additional analyses provided evidence of applicability over time, across a spectrum of geographic regions, histologic types, evaluative approaches, and follow-up intervals. Conclusions: An extensive analysis has produced stage classification proposals for lung cancer with a robust degree of discriminatory consistency and general applicability. Nevertheless, external validation is encouraged to identify areas of strength and weakness; a sound validation should have discriminatory ability and be based on an independent data set of adequate size and sufficient follow-up with enough patients for each subgroup.
AB - Introduction: Stage classification provides a consistent language todescribe the anatomic extent of disease and is therefore a critical tool in caring for patients. The Staging and Prognostic FactorsCommittee of the InternationalAssociation for the Study of Lung Cancer developed proposals for revision of the classification of lung cancer for the eighth edition of the tumor, node, andmetastasis (TNM) classification,which takes effect in 2017. Methods: An international database of 94,708 patients with lung cancer diagnosed in 1999-2010 was assembled. This article describes the process and statistical methods used to refine the lung cancer stage classification. Results: Extensive analysis allowed definition of tumor, node, and metastasis categories and stage groupings that demonstrated consistent discrimination overall and within multiple different patient cohorts (e.g., clinical or pathologic stage, R0 or R-Any resection status, geographic region). Additional analyses provided evidence of applicability over time, across a spectrum of geographic regions, histologic types, evaluative approaches, and follow-up intervals. Conclusions: An extensive analysis has produced stage classification proposals for lung cancer with a robust degree of discriminatory consistency and general applicability. Nevertheless, external validation is encouraged to identify areas of strength and weakness; a sound validation should have discriminatory ability and be based on an independent data set of adequate size and sufficient follow-up with enough patients for each subgroup.
KW - Lung cancer
KW - Lung cancer staging
KW - NSCLC
KW - Prognosis
KW - TNM classification
KW - Validation
UR - http://www.scopus.com/inward/record.url?scp=84987842243&partnerID=8YFLogxK
U2 - 10.1016/j.jtho.2016.06.028
DO - 10.1016/j.jtho.2016.06.028
M3 - Article
C2 - 27448762
AN - SCOPUS:84987842243
VL - 11
SP - 1433
EP - 1446
JO - Journal of Thoracic Oncology
JF - Journal of Thoracic Oncology
SN - 1556-0864
IS - 9
ER -