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Table 2 The model information of ten prognostic lncRNA predictors in Cox regression

From: Comprehensive bioinformatics analysis reveals potential lncRNA biomarkers for overall survival in patients with hepatocellular carcinoma: an on-line individual risk calculator based on TCGA cohort

Variables Univariate analysis Multivariate analysis
HR 95% CI P-value Coefficient HR 95% CI P-value
LINC01559 (high/low) 1.952 1.370–2.780 < 0.001 0.771 2.163 0.480–3.159 < 0.001
MYLK_AS1 (high/low) 1.717 1.206–2.443 0.003 0.528 1.695 1.167–2.462 < 0.001
RP11_150O12.3 (high/low) 1.735 1.223–2.461 0.002 0.728 2.070 1.436–2.984 < 0.001
RP11_92C4.6 (high/low) 0.5826 0.410–0.827 0.003 − 0.509 0.601 0.419–0.865 < 0.001
RASGRF2_AS1 (high/low) 0.6571 0.464–0.931 0.018 − 0.765 0.465 0.317–0.683 < 0.001
LINC01116 (high/low) 1.491 1.053–2.112 0.025 0.731 2.077 1.410–3.059 < 0.001
C2orf48 (high/low) 1.694 1.194–2.404 0.003 0.563 1.756 1.214–2.541 0.003
LINC00856 (high/low) 1.719 1.206–2.449 0.003 0.418 1.519 1.033–2.234 0.034
LINC02003 (high/low) 1.482 1.045–2.10 0.027 0.483 1.620 1.118–2.347 0.011
RP11_363N22.3 (high/low) 1.699 1.197–2.413 0.003 0.432 1.540 1.054–2.250 0.026
  1. The medians of lncRNA expression values were used as cut-off values to stratify lncRNA expression values into high expression group (as value 1) and low expression group (as value 0)
  2. HR hazard ratio, CI confidence interval