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Independent Validat...
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Zhang, RuyangHarvard University,Nanjing Medical University,Nanjing University
(författare)
Independent Validation of Early-Stage Non-Small Cell Lung Cancer Prognostic Scores Incorporating Epigenetic and Transcriptional Biomarkers With Gene-Gene Interactions and Main Effects
- Artikel/kapitelEngelska2020
Förlag, utgivningsår, omfång ...
Nummerbeteckningar
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LIBRIS-ID:oai:lup.lub.lu.se:a120590c-3ffc-45aa-a01d-b850d9143f51
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https://lup.lub.lu.se/record/a120590c-3ffc-45aa-a01d-b850d9143f51URI
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https://doi.org/10.1016/j.chest.2020.01.048DOI
Kompletterande språkuppgifter
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Språk:engelska
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Sammanfattning på:engelska
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Klassifikation
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Ämneskategori:art swepub-publicationtype
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Ämneskategori:ref swepub-contenttype
Anmärkningar
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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 och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Chen, ChaoNanjing Medical University
(författare)
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Dong, XuesiNanjing Medical University,Southeast University, Nanjing,Harvard University
(författare)
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Shen, SipengHarvard University,Nanjing Medical University
(författare)
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Lai, LinjingNanjing Medical University
(författare)
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He, JieyuNanjing Medical University
(författare)
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You, DongfangNanjing Medical University,Harvard University
(författare)
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Lin, LijuanHarvard University,Nanjing Medical University
(författare)
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Zhu, YingNanjing Medical University
(författare)
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Huang, HuiNanjing Medical University
(författare)
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Chen, JiajinNanjing Medical University
(författare)
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Wei, LiangminNanjing Medical University
(författare)
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Chen, XinNanjing Medical University
(författare)
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Li, YiUniversity of Michigan
(författare)
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Guo, YichenHarvard University
(författare)
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Duan, WeiweiNanjing Medical University
(författare)
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Liu, LiyaNingbo University
(författare)
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Su, LiHarvard University
(författare)
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Shafer, AndreaMassachusetts General Hospital,Harvard University
(författare)
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Fleischer, ThomasOslo university hospital
(författare)
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Moksnes Bjaanæs, MariaOslo university hospital
(författare)
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Karlsson, AnnaLund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups(Swepub:lu)rfa-aka
(författare)
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Planck, MariaLund 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(Swepub:lu)onk-mpl
(författare)
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Wang, RuiJinling Hospital, Nanjing,Nanjing University
(författare)
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Staaf, JohanLund 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(Swepub:lu)onk-jst
(författare)
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Helland, ÅslaugOslo university hospital,University of Oslo
(författare)
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Esteller, ManelJosep Carreras Leukaemia Research Institute (IJC),University of Barcelona,Catalan Institution for Research and Advanced Studies,Spanish Center for Biomedical Research Network in Oncology (CIBERONC)
(författare)
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Wei, YongyueHarvard University,Nanjing Medical University
(författare)
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Chen, FengNanjing Medical University
(författare)
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Christiani, David C.Massachusetts General Hospital,Harvard University
(författare)
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Harvard UniversityNanjing Medical University
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Chest: Elsevier BV158:2, s. 808-8190012-3692
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- 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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