Independent Validation of Early-Stage Non-Small Cell Lung Cancer Prognostic Scores Incorporating Epigenetic and Transcriptional Biomarkers With Gene-Gene Interactions and Main Effects.

Autor: Zhang R; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA; China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China; Department of Medical Oncology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China., Chen C; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China., Dong X; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA; Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China., Shen S; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA; China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China., Lai L; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China., He J; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China., You D; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA., Lin L; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA., Zhu Y; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China., Huang H; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China., Chen J; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China., Wei L; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China., Chen X; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China., Li Y; Department of Biostatistics, University of Michigan, Ann Arbor, MI., Guo Y; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA., Duan W; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China., Liu L; Department of Preventive Medicine, Medical School of Ningbo University, Ningbo, China., Su L; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA., Shafer A; Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA., Fleischer T; Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway., Moksnes Bjaanæs M; Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway., Karlsson A; Division of Oncology and Pathology, Department of Clinical Sciences, Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden., Planck M; Division of Oncology and Pathology, Department of Clinical Sciences, Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden., Wang R; Department of Medical Oncology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China., Staaf J; Division of Oncology and Pathology, Department of Clinical Sciences, Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden., Helland Å; Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway., Esteller M; Josep Carreras Leukemia Research Institute, Badalona, Barcelona, Spain; Centro de Investigacion Biomedica en Red Cancer, Madrid, Spain; Institucio Catalana de Recerca i Estudis Avançats, Barcelona, Spain; Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain., Wei Y; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA; China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China., Chen F; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China; State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China. Electronic address: fengchen@njmu.edu.cn., Christiani DC; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA; Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Jazyk: angličtina
Zdroj: Chest [Chest] 2020 Aug; Vol. 158 (2), pp. 808-819. Date of Electronic Publication: 2020 Feb 28.
DOI: 10.1016/j.chest.2020.01.048
Abstrakt: Background: DNA methylation and gene expression are promising biomarkers of various cancers, including non-small cell lung cancer (NSCLC). Besides the main effects of biomarkers, the progression of complex diseases is also influenced by gene-gene (G×G) interactions.
Research Question: Would screening the functional capacity of biomarkers on the basis of main effects or interactions, using multiomics data, improve the accuracy of cancer prognosis?
Study Design and Methods: Biomarker screening and model validation were used to construct and validate a prognostic prediction model. NSCLC prognosis-associated biomarkers were identified on the basis of either their main effects or interactions with two types of omics data. A prognostic score incorporating epigenetic and transcriptional biomarkers, as well as clinical information, was independently validated.
Results: Twenty-six pairs of biomarkers with G×G interactions and two biomarkers with main effects were significantly associated with NSCLC survival. Compared with a model using clinical information only, the accuracy of the epigenetic and transcriptional biomarker-based prognostic model, measured by area under the receiver operating characteristic curve (AUC), increased by 35.38% (95% CI, 27.09%-42.17%; P = 5.10 × 10 -17 ) and 34.85% (95% CI, 26.33%-41.87%; P = 2.52 × 10 -18 ) for 3- and 5-year survival, respectively, which exhibited a superior predictive ability for NSCLC survival (AUC 3 year , 0.88 [95% CI, 0.83-0.93]; and AUC 5 year , 0.89 [95% CI, 0.83-0.93]) in an independent Cancer Genome Atlas population. G×G interactions contributed a 65.2% and 91.3% increase in prediction accuracy for 3- and 5-year survival, respectively.
Interpretation: The integration of epigenetic and transcriptional biomarkers with main effects and G×G interactions significantly improves the accuracy of prognostic prediction of early-stage NSCLC survival.
(Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE