Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/174837
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Ruyang | - |
dc.contributor.author | Chen, Chao | - |
dc.contributor.author | Dong, Xuesi | - |
dc.contributor.author | Shen, Sipeng | - |
dc.contributor.author | Lai, Linjing | - |
dc.contributor.author | He, Jieyu | - |
dc.contributor.author | You, Dongfang | - |
dc.contributor.author | Lin, Lijuan | - |
dc.contributor.author | Zhu, Ying | - |
dc.contributor.author | Huang, Hui | - |
dc.contributor.author | Chen, Jiajin | - |
dc.contributor.author | Wei, Liangmin | - |
dc.contributor.author | Chen, Xin | - |
dc.contributor.author | Li, Yi | - |
dc.contributor.author | Guo, Yichen | - |
dc.contributor.author | Duan, Weiwei | - |
dc.contributor.author | Liu, Liya | - |
dc.contributor.author | Su, Li | - |
dc.contributor.author | Shafer, Andrea | - |
dc.contributor.author | Fleischer, Thomas | - |
dc.contributor.author | Bjaanæs, Maria Moksnes | - |
dc.contributor.author | Karlsson, Anna | - |
dc.contributor.author | Planck, Maria | - |
dc.contributor.author | Wang, Rui | - |
dc.contributor.author | Staaf, Johan | - |
dc.contributor.author | Helland, Åslaug | - |
dc.contributor.author | Esteller, Manel | - |
dc.contributor.author | Wei, Yongyue | - |
dc.contributor.author | Chen, Feng | - |
dc.contributor.author | Christiani, David C. | - |
dc.date.accessioned | 2021-03-09T15:26:05Z | - |
dc.date.available | 2021-03-09T15:26:05Z | - |
dc.date.issued | 2020-08-01 | - |
dc.identifier.issn | 0012-3692 | - |
dc.identifier.uri | http://hdl.handle.net/2445/174837 | - |
dc.description.abstract | 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. | - |
dc.format.extent | 12 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | American College of Chest Physicians | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1016/j.chest.2020.01.048 | - |
dc.relation.ispartof | Chest, 2020, vol. 158, num. 2, p. 808-819 | - |
dc.relation.uri | https://doi.org/10.1016/j.chest.2020.01.048 | - |
dc.rights | cc by (c) Zhang et al, 2020 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Articles publicats en revistes (Ciències Fisiològiques) | - |
dc.subject.classification | Càncer de pulmó | - |
dc.subject.classification | Cèl·lules canceroses | - |
dc.subject.classification | Marcadors tumorals | - |
dc.subject.classification | Epigenètica | - |
dc.subject.other | Lung cancer | - |
dc.subject.other | Cancer cells | - |
dc.subject.other | Tumor markers | - |
dc.subject.other | Epigenetics | - |
dc.title | Independent validation of early-stage NSCLC prognostic scores incorporating epigenetic and transcriptional biomarkers with gene-gene interactions and main effects | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 700094 | - |
dc.date.updated | 2021-03-09T15:26:05Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 32113923 | - |
Appears in Collections: | Articles publicats en revistes (Ciències Fisiològiques) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
700094.pdf | 1.27 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License