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Autor
Andrew, Angeline 1 Barnett, Matthew J 1 Brennan, Paul 1 Brenner, Hermann 1 Brown, M Catherine 1 Caporaso, Neil E 1 Chen, Chu 1 Christiani, David C 1 Cox, Angela 1 Davies, Michael P A 1 Diao, Nancy 1 Dong, Mei 1 Duell, Eric J 1 Fares, Aline 1 Fernandez-Tardon, Guillermo 1 Field, John K 1 Garcia, Miguel 1 Goodman, Gary 1 Harris, Curtis C 1 Holcatova, Ivana 1
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Pracoviště
Affiliated Hospital of Nanjing Univer... 1 American Cancer Society Atlanta Georgia 1 Barbara Ann Karmanos Cancer Institute... 1 Bellvitge Biomedical Research Institu... 1 CIBER de Epidemiología y Salud Públic... 1 Catalan Institute of Oncology Barcelo... 1 Dalla Lana School of Public Health Un... 1 Dartmouth Hitchcock Medical Center Le... 1 Department of Cancer Epidemiology H L... 1 Department of Cancer Epidemiology and... 1 Department of Epidemiology School of ... 1 Department of Health Sciences Researc... 1 Department of Medical Oncology Canton... 1 Department of Oncology and Metabolism... 1 Department of Preventive Medicine and... 1 Department of Thoracic Surgery Clinic... 1 Department of Thoracic Surgery Fudan ... 1 Division of Cancer Epidemiology and G... 1 Division of Clinical Epidemiology and... 1 Division of Genome Biology National C... 1
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Autor
Andrew, Angeline 1 Barnett, Matthew J 1 Brennan, Paul 1 Brenner, Hermann 1 Brown, M Catherine 1 Caporaso, Neil E 1 Chen, Chu 1 Christiani, David C 1 Cox, Angela 1 Davies, Michael P A 1 Diao, Nancy 1 Dong, Mei 1 Duell, Eric J 1 Fares, Aline 1 Fernandez-Tardon, Guillermo 1 Field, John K 1 Garcia, Miguel 1 Goodman, Gary 1 Harris, Curtis C 1 Holcatova, Ivana 1
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Pracoviště
Affiliated Hospital of Nanjing Univer... 1 American Cancer Society Atlanta Georgia 1 Barbara Ann Karmanos Cancer Institute... 1 Bellvitge Biomedical Research Institu... 1 CIBER de Epidemiología y Salud Públic... 1 Catalan Institute of Oncology Barcelo... 1 Dalla Lana School of Public Health Un... 1 Dartmouth Hitchcock Medical Center Le... 1 Department of Cancer Epidemiology H L... 1 Department of Cancer Epidemiology and... 1 Department of Epidemiology School of ... 1 Department of Health Sciences Researc... 1 Department of Medical Oncology Canton... 1 Department of Oncology and Metabolism... 1 Department of Preventive Medicine and... 1 Department of Thoracic Surgery Clinic... 1 Department of Thoracic Surgery Fudan ... 1 Division of Cancer Epidemiology and G... 1 Division of Clinical Epidemiology and... 1 Division of Genome Biology National C... 1
- Formát
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- Kategorie
- Jazyk
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- Časopis/zdroj
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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
PubMed
35027437
DOI
10.1158/1055-9965.epi-21-0747
Knihovny.cz E-zdroje
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.
- MeSH
- analýza přežití MeSH
- erbB receptory genetika MeSH
- lidé MeSH
- mutace MeSH
- nádory plic * epidemiologie genetika MeSH
- nemalobuněčný karcinom plic * epidemiologie genetika MeSH
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- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
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