Long non-coding RNA-based signature for predicting prognosis of hepatocellular carcinoma

Figures & data

Table 1. Clinicopathological characteristics of 360 hepatocellular carcinoma patients

Parameter	N
Sex
Male	242
Female	118
Age
<=60	171
>60	189
Family history
Yes	112
No	200
Alcohol
Yes	114
No	228
HBV
Yes	100
No	242
HCV
Yes	53
No	289
AFP
<=25	160
>25	113
Grade
I	54
II	171
III	118
IV	12
Stage
T1	176
T2	90
T3	77
T4	13

Abbreviation: HBV, hepatitis B virus; HCV, hepatitis C virus; AFP, alpha-fetoprotein.

Figure 1. LncRNAs profiling of tumor and para-carcinoma tissues. (a) Heat-map showing profiles of lncRNAs in tumor and para-carcinoma tissues. red represented that the expression of lncRNAs is relative upregulation, blue represented that the expression levels of lncRNAs is relative downregulation. (b) Volcano plots of differential expression lncRNAs in HCC and para-carcinoma tissues. the red points represented up-regulated lncRNAs (1< log2-fold change< 2, P < 0.05). the green points represented down-regulated lncRNAs (−2< log2-fold change< -1, P < 0.05). the blue points represented up-regulated and down-regulated lncRNAs (| log2-fold change | >2, P < 0.05). each black point represented genes with a non-significant difference

Figure 2. LncRNA-based prognostic signature of HCC. (a)(b) LASSO cox analysis showed Nineteen genes were associated with OS in the discovery group. (c)(d) LASSO cox analysis showed Fifteen genes were associated with DFS in the validation group. (e)Prognostic scores distribution for the discovery group in OS. (f) Prognostic scores distribution for the validation group in DFS

Figure 3. Kaplan-Meier analysis of HCC in the discovery group. (a) Kaplan–Meier curve of OS in the discovery group. (b) Kaplan–Meier curve of DFS in the discovery group

Table 2. Univariate and multivariate Cox PH regression in survival analysis

	Univariate			Multivariate
Parameter	HR	95%CI	P value	HR	95%CI	P value
Sex	0.700	(0.440,1.114)	0.132
Age	1.019	(1.000,1.038)	0.046	1.008	(0.988,1.029)	0.418
Family history 1.290		(0.808,2.061)	0.286
Alcohol	1.267	(0.790,2.034)	0.326
HBV	0.275	(0.145,0.524)	<0.001	0.377	(0.191,0.744)	0.005
HCV	1.036	(0.474,2.267)	0.929
AFP	1.000	(1.000,1.000)	0.487
Grade	1.246	(0.912,1.703)	0.167
Stage	1.716	(1.333,2.209)	<0.001	1.399	(1.063,1.841)	0.017
Prognostic score 3.788		(2.735,5.246)	<0.001	3.433	(2.436,4.838)	<0.001

Figure 4. The time-dependent ROC analysis and nomogram for the lncRNA-based prognostic signature. (a)The time-dependent ROC analysis of the combined model included the clinicopathological information and the single model included clinicopathological information. (b) A nomogram to predict the probability of OS in hepatocellular carcinoma

Availability of data and materials

The datasets generated and analyzed during the current study are obtained from TCGA (https://portal.gdc.cancer.gov) and cBioPortal database (https://www.cbioportal.org/).