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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
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Cancer Cell International

ISSN: 1475-2867

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