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pmid:32793290
Identification and Validation of Key Genes Associated With Systemic Sclerosis-Related Pulmonary Hypertension.
Ji-Na Zheng · Yang Li · Yue-Mei Yan · Hui Shi · Tian-Tian Zou · Wen-Qi Shao · Qiang Wang
Frontiers in genetics · 2020 doi:10.3389/fgene.2020.00816
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Complete file
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Early diagnosis and prompt treatment are crucial to reduce the mortality of patients with SSc-PAH. To screen the candidate biomarkers and potential therapeutic targets for SSc-PAH, we analyzed the data set (GSE33463 and GSE19617) for confirming key genes in peripheral blood mononuclear cells from SSc-PAH patients. A total of 105 SSc patients from gene expression omnibus (GEO) were included as discovery cohort (n = 69) and duplication cohort (n = 36) for screening hub genes by weighted gene co-expression network analysis (WGCNA). Furthermore, an independent validation cohort (n = 40), including healthy controls, SSc and SSc-PAH patients, was used for further validation by quantitative real-time polymerase chain reaction. The results showed that four key genes, including IFIT2, IFIT3, RSAD2, and PARP14, may serve as potential biomarkers in SSc-PAH. Also, they could be independent risk factors for SSc-PAH. 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for SSc-PAH", "row_count": 11, "column_count": 7}, "table": {"label": "TABLE 4", "caption": "Univariate and multivariate logistic regression of hub genes and clinical traits.", "rows": [["Hub genes/clinical traits", "Univariate logistic regression", "Multivariate logistic regression"], ["", "OR", "95% CI", "P-value", "OR", "95% CI", "P-value"], ["Gender", "1.538", "0.268, 8.818", "0.629", "", "", ""], ["Age", "1.196", "1.069, 1.337", "0.002***", "0.620", "0.103, 3.717", "0.601"], ["ILD", "1.636", "0.384, 6.968", "0.505", "", "", ""], ["FVC (%predict)", "0.970", "0.932, 1.009", "0.134", "", "", ""], ["DLCO (%predict)", "0.890", "0.820, 0.966", "0.005**", "0.979", "0.173, 5.864", "0.980"], ["PAPR14", "2.222", "1.124, 4.394", "0.022*", "0.978", "0.172, 5.543", "0.997"], ["RSAD2", "3.705", "1.492, 9.200", "0.005**", "", "", ""], ["IFIT2", "4.157", "1.161, 10.734", "0.003***", "1.108", "0.890, 1.378", "0.363"], ["IFIT3", "3.705", "1.492, 9.200", "0.005**", "1.048", "0.959, 1.146", 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