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Independent Validat...
Independent Validation of Early-Stage Non-Small Cell Lung Cancer Prognostic Scores Incorporating Epigenetic and Transcriptional Biomarkers With Gene-Gene Interactions and Main Effects
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- Zhang, Ruyang (författare)
- Harvard University,Nanjing Medical University,Nanjing University
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- Chen, Chao (författare)
- Nanjing Medical University
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- Dong, Xuesi (författare)
- Nanjing Medical University,Southeast University, Nanjing,Harvard University
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- Shen, Sipeng (författare)
- Harvard University,Nanjing Medical University
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- Lai, Linjing (författare)
- Nanjing Medical University
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- He, Jieyu (författare)
- Nanjing Medical University
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- You, Dongfang (författare)
- Nanjing Medical University,Harvard University
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- Lin, Lijuan (författare)
- Harvard University,Nanjing Medical University
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- Zhu, Ying (författare)
- Nanjing Medical University
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- Huang, Hui (författare)
- Nanjing Medical University
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- Chen, Jiajin (författare)
- Nanjing Medical University
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- Wei, Liangmin (författare)
- Nanjing Medical University
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- Chen, Xin (författare)
- Nanjing Medical University
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- Li, Yi (författare)
- University of Michigan
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- Guo, Yichen (författare)
- Harvard University
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- Duan, Weiwei (författare)
- Nanjing Medical University
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- Liu, Liya (författare)
- Ningbo University
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- Su, Li (författare)
- Harvard University
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- Shafer, Andrea (författare)
- Massachusetts General Hospital,Harvard University
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- Fleischer, Thomas (författare)
- Oslo university hospital
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- Moksnes Bjaanæs, Maria (författare)
- Oslo university hospital
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- Karlsson, Anna (författare)
- Lund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups
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- Planck, Maria (författare)
- Lund University,Lunds universitet,Forskningsgrupp Lungcancer,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Research Group Lung Cancer,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments
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- Wang, Rui (författare)
- Jinling Hospital, Nanjing,Nanjing University
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- Staaf, Johan (författare)
- Lund University,Lunds universitet,Forskningsgrupp Lungcancer,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Research Group Lung Cancer,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments
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- Helland, Åslaug (författare)
- Oslo university hospital,University of Oslo
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- Esteller, Manel (författare)
- Josep Carreras Leukaemia Research Institute (IJC),University of Barcelona,Catalan Institution for Research and Advanced Studies,Spanish Center for Biomedical Research Network in Oncology (CIBERONC)
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- Wei, Yongyue (författare)
- Harvard University,Nanjing Medical University
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- Chen, Feng (författare)
- Nanjing Medical University
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- Christiani, David C. (författare)
- Massachusetts General Hospital,Harvard University
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(creator_code:org_t)
- Elsevier BV, 2020
- 2020
- Engelska 12 s.
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Ingår i: Chest. - : Elsevier BV. - 0012-3692. ; 158:2, s. 808-819
- Relaterad länk:
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http://dx.doi.org/10... (free)
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visa fler...
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http://journal.chest...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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 (AUC3 year, 0.88 [95% CI, 0.83-0.93]; and AUC5 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.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Nyckelord
- early stage
- interaction
- multiomics
- non-small cell lung cancer
- prognostic score
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
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Chest
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Till lärosätets databas
- Av författaren/redakt...
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Zhang, Ruyang
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Chen, Chao
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Dong, Xuesi
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Shen, Sipeng
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Lai, Linjing
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He, Jieyu
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visa fler...
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You, Dongfang
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Lin, Lijuan
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Zhu, Ying
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Huang, Hui
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Chen, Jiajin
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Wei, Liangmin
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Chen, Xin
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Li, Yi
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Guo, Yichen
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Duan, Weiwei
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Liu, Liya
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Su, Li
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Shafer, Andrea
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Fleischer, Thoma ...
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Moksnes Bjaanæs, ...
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Karlsson, Anna
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Planck, Maria
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Wang, Rui
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Staaf, Johan
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Helland, Åslaug
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Esteller, Manel
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Wei, Yongyue
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Chen, Feng
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Christiani, Davi ...
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