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Accounting for EGFR Mutations in Epidemiologic Analyses of Non-Small Cell Lung Cancers: Examples Based on the International Lung Cancer Consortium Data
S. Schmid, M. Jiang, MC. Brown, A. Fares, M. Garcia, J. Soriano, M. Dong, S. Thomas, T. Kohno, LF. Leal, N. Diao, J. Xie, Z. Wang, D. Zaridze, I. Holcatova, J. Lissowska, B. Świątkowska, D. Mates, M. Savic, AS. Wenzlaff, CC. Harris, NE. Caporaso,...
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
U01 CA063673
NCI NIH HHS - United States
U01 CA167462
NCI NIH HHS - United States
P30 CA076292
NCI NIH HHS - United States
U01-CA063673
NIH HHS - United States
U01 CA209414
NCI NIH HHS - United States
UM1 CA167462
NCI NIH HHS - United States
NLK
Free Medical Journals
od 1991 do Před 1 rokem
Freely Accessible Science Journals
od 1991 do Před 12 měsíci
Open Access Digital Library
od 1991-11-01
Open Access Digital Library
od 1991-11-01
- MeSH
- analýza přežití MeSH
- erbB receptory genetika MeSH
- lidé MeSH
- mutace MeSH
- nádory plic * epidemiologie genetika MeSH
- nemalobuněčný karcinom plic * epidemiologie genetika MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
BACKGROUND: Somatic EGFR mutations define a subset of non-small cell lung cancers (NSCLC) that have clinical impact on NSCLC risk and outcome. However, EGFR-mutation-status is often missing in epidemiologic datasets. We developed and tested pragmatic approaches to account for EGFR-mutation-status based on variables commonly included in epidemiologic datasets and evaluated the clinical utility of these approaches. METHODS: Through analysis of the International Lung Cancer Consortium (ILCCO) epidemiologic datasets, we developed a regression model for EGFR-status; we then applied a clinical-restriction approach using the optimal cut-point, and a second epidemiologic, multiple imputation approach to ILCCO survival analyses that did and did not account for EGFR-status. RESULTS: Of 35,356 ILCCO patients with NSCLC, EGFR-mutation-status was available in 4,231 patients. A model regressing known EGFR-mutation-status on clinical and demographic variables achieved a concordance index of 0.75 (95% CI, 0.74-0.77) in the training and 0.77 (95% CI, 0.74-0.79) in the testing dataset. At an optimal cut-point of probability-score = 0.335, sensitivity = 69% and specificity = 72.5% for determining EGFR-wildtype status. In both restriction-based and imputation-based regression analyses of the individual roles of BMI on overall survival of patients with NSCLC, similar results were observed between overall and EGFR-mutation-negative cohort analyses of patients of all ancestries. However, our approach identified some differences: EGFR-mutated Asian patients did not incur a survival benefit from being obese, as observed in EGFR-wildtype Asian patients. CONCLUSIONS: We introduce a pragmatic method to evaluate the potential impact of EGFR-status on epidemiological analyses of NSCLC. IMPACT: The proposed method is generalizable in the common occurrence in which EGFR-status data are missing.
Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
American Cancer Society Atlanta Georgia
Barbara Ann Karmanos Cancer Institute Wayne State University Detroit Michigan
Bellvitge Biomedical Research Institute L'Hospitalet de Llobregat Barcelona Spain
Catalan Institute of Oncology Barcelona Spain
CIBER de Epidemiología y Salud Pública CIBERESP Santiago de Compostela Galicia Spain
Dalla Lana School of Public Health University of Toronto Toronto Ontario Canada
Dartmouth Hitchcock Medical Center Lebanon New Hampshire
Department of Cancer Epidemiology H Lee Moffitt Cancer Center and Research Institute Tampa Florida
Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China
Department of Health Sciences Research Mayo Clinic Rochester Minnesota
Department of Medical Oncology Cantonal Hospital St Gallen St Gallen Switzerland
Department of Thoracic Surgery Clinical Center of Serbia Belgrade Serbia
Department of Thoracic Surgery Fudan University Shanghai Cancer Center Shanghai China
Division of Genome Biology National Cancer Centre Research Institute Tokyo Japan
Division of Medical Oncology Hospital de Base de São José do Rio Preto SP Brazil
Division of Preventive Oncology German Cancer Research Center Heidelberg Germany
German Cancer Consortium Heidelberg Germany
Harvard T H Chan School of Public Health Boston Massachusetts
ICVS 3B's PT Government Associate Laboratory Braga Portugal
International Agency for Research on Cancer Lyon France
IUOPA University of Oviedo and ISPA and CIBERESP Asturias Spain
Kaiser Permanente Northern California Division of Research Oakland California
Life and Health Sciences Research Institute Medical School University of Minho Braga Portugal
Lunenfeld Tanenbaum Research Institute Sinai Health Systems Toronto Ontario Canada
Molecular Oncology Research Center Barretos Cancer Hospital Barretos Brazil
National Institute of Public Health Bucharest Romania
Network of Aging Research Heidelberg University Heidelberg Germany
Russian N N Blokhin Cancer Research Centre Moscow Russian Federation
Sheffield Teaching Hospitals Foundation Trust Sheffield United Kingdom
Swedish Cancer Institute Seattle Washington
The Nofer Institute of Occupational Medicine Lodz Poland
The University of California Davis Medical Sciences Davis California
The University of Texas MD Anderson Cancer Center Houston Texas
Citace poskytuje Crossref.org
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