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Trans-omics biomarker model improves prognostic prediction accuracy for early-stage lung adenocarcinoma

Dong, Xuesi (author)
Nanjing Medical University,Southeast University
Zhang, Ruyang (author)
Harvard University,Nanjing Medical University,Nanjing University
He, Jieyu (author)
Nanjing Medical University
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Lai, Linjing (author)
Nanjing Medical University
Alolga, Raphael N. (author)
China Pharmaceutical University
Shen, Sipeng (author)
Nanjing Medical University,Harvard University
Zhu, Ying (author)
Nanjing Medical University
You, Dongfang (author)
Nanjing Medical University
Lin, Lijuan (author)
Nanjing Medical University
Chen, Chao (author)
Nanjing Medical University
Zhao, Yang (author)
Nanjing Medical University
Duan, Weiwei (author)
Nanjing Medical University
Su, Li (author)
Nanjing Medical University,Harvard University
Shafer, Andrea (author)
Massachusetts General Hospital,Harvard University
Salama, Moran (author)
Bellvitge Biomedical Research Institute,University of Barcelona
Fleischer, Thomas (author)
Oslo university hospital
Bjaanæs, Maria Moksnes (author)
Oslo university hospital
Karlsson, Anna (author)
Lund University,Lunds universitet,Forskningsgrupp Lungcancer,Forskargrupper vid Lunds universitet,Research Group Lung Cancer,Lund University Research Groups
Planck, Maria (author)
Lund University,Lunds universitet,Forskningsgrupp Lungcancer,Forskargrupper vid Lunds universitet,Research Group Lung Cancer,Lund University Research Groups
Wang, Rui (author)
Nanjing University
Staaf, Johan (author)
Lund University,Lunds universitet,Forskningsgrupp Lungcancer,Forskargrupper vid Lunds universitet,Research Group Lung Cancer,Lund University Research Groups
Helland, Åslaug (author)
Oslo university hospital,University of Oslo
Esteller, Manel (author)
Bellvitge Biomedical Research Institute,University of Barcelona
Wei, Yongyue (author)
Nanjing Medical University,Harvard University
Chen, Feng (author)
Nanjing Medical University,Southeast University
Christiani, David C. (author)
Harvard University,Massachusetts General Hospital,Nanjing Medical University
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 (creator_code:org_t)
2019-08-21
2019
English 24 s.
In: Aging. - : Impact Journals, LLC. - 1945-4589. ; 11:16, s. 6312-6335
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Limited studies have focused on developing prognostic models with trans-omics biomarkers for early-stage lung adenocarcinoma (LUAD). We performed integrative analysis of clinical information, DNA methylation, and gene expression data using 825 early-stage LUAD patients from 5 cohorts. Ranger algorithm was used to screen prognosis-associated biomarkers, which were confirmed with a validation phase. Clinical and biomarker information was fused using an iCluster plus algorithm, which significantly distinguished patients into high- and low-mortality risk groups (Pdiscovery = 0.01 and Pvalidation = 2.71×10-3). Further, potential functional DNA methylation-gene expression-overall survival pathways were evaluated by causal mediation analysis. The effect of DNA methylation level on LUAD survival was significantly mediated through gene expression level. By adding DNA methylation and gene expression biomarkers to a model of only clinical data, the AUCs of the trans-omics model improved by 18.3% (to 87.2%) and 16.4% (to 85.3%) in discovery and validation phases, respectively. Further, concordance index of the nomogram was 0.81 and 0.77 in discovery and validation phases, respectively. Based on systematic review of published literatures, our model was superior to all existing models for early-stage LUAD. In summary, our trans-omics model may help physicians accurately identify patients with high mortality risk.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Keyword

DNA methylation
early-stage
gene expression
lung adenocarcinoma
prognostic prediction

Publication and Content Type

art (subject category)
ref (subject category)

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