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Table 1 The 4 DFS associated dysregulated LncRNAs in the training group patients from TCGA (N = 157)

From: Combining a machine-learning derived 4-lncRNA signature with AFP and TNM stages in predicting early recurrence of hepatocellular carcinoma

Ensembl

Gene Symbol

P value

Hazard Ratioa

Coefficientb

associated diseases

Description

ENSG00000230499

AC108463.1

0.011

0.91

-0.0918

gastric cancer [89]

novel transcript

ENSG00000232855

AF131217.1

0.001

0.89

-0.1112

atherosclerosis [88]

novel transcript

ENSG00000173727

CMB9-22P13.1

0.011

1.16

0.1484

lung squamous cell carcinoma, breast cancer, hepatocellular carcinoma [90,91,92,93]

Finkel-Biskis-Reilly murine sarcoma virus (FBR-MuSV) ubiquitously expressed (FAU) pseudogene

ENSG00000271270

TMCC1-AS1

0.001

1.45

0.3737

hepatocellular carcinoma [94,95,96,97]

TMCC1 divergent transcript

  1. a, b Derived from the univariable Cox proportional hazards regression analysis