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. 2019 Jul 29;18(4):3691–3697. doi: 10.3892/ol.2019.10684

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Copyright: © Yang et al.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Figure 1. — Identification of 17 key lncRNA signatures using univariate Cox and LASSO regression. (A) Volcano plot of all lncRNAs. A total of 1,001 differentially expressed lncRNAs out of 8,044 were identified in pRCC, including 546 upregulated and 455 downregulated lncRNAs (FDR<0.05 and |log₂FC|>2). (B) Tuning parameter and (C) variable selection using the LASSO model. The numbers on the top of the figures indicated the number of the candidate lncRNAs for the corresponding lambda (λ) value in LASSO regression. A total of 348/1,001 significant lncRNAs from the result of the univariate Cox regression were used for the LASSO regression, and 17 key lncRNAs were identified by multivariate Cox regression. pRCC, papillary renal cell carcinoma; lncRNAs, long non-coding RNAs; LASSO, least absolute shrinkage and selection operator; FC, fold change; FDR, false discovery rate.