Cellular senescence throws new insights into patient classification and pharmacological interventions for clinical management of hepatocellular carcinoma

Table 1 Univariate-cox regression results of prognostic differentially expressed cellular senescence genes with P < 0.05 in TCGA-LIHC dataset

Gene	HR	95%lower	95%upper	P value	Gene	HR	95%lower	95%upper	P value
MCRS1	1.6954	1.2504	2.2988	0.0007	TPR	1.2593	1.0274	1.5436	0.0264
FASTK	1.3714	1.0147	1.8536	0.0399	HDAC1	1.8639	1.4442	2.4055	< 0.0001
AURKA	1.2794	1.1083	1.4770	0.0008	SPOP	1.4186	1.0061	2.0004	0.0461
PTTG1	1.3361	1.1782	1.5151	< 0.0001	BTG3	1.3304	1.0766	1.6440	0.0082
PSMB5	1.8929	1.3286	2.6969	0.0004	IRF5	1.4232	1.1118	1.8217	0.0051
MAP2K2	1.5424	1.1846	2.0083	0.0013	IGFBP3	1.1741	1.0435	1.3210	0.0076
E2F1	1.2175	1.0804	1.3721	0.0012	CDKN2B	1.3951	1.1619	1.6751	0.0004
CDK1	1.3097	1.1553	1.4847	< 0.0001	AAK1	1.3018	1.0160	1.6682	0.0371
GRK6	1.7940	1.3455	2.3920	< 0.0001	ARPC1B	1.3007	1.0918	1.5495	0.0032
EZH2	1.5722	1.3117	1.8845	< 0.0001	LIMK1	1.3450	1.1517	1.5706	0.0002
DPY30	1.9266	1.3785	2.6928	0.0001	SFN	1.1541	1.0714	1.2432	0.0002
CBX8	1.4643	1.1477	1.8684	0.0022	CSNK2A1	1.3825	1.0896	1.7541	0.0077
SMARCA4	1.4396	1.1405	1.8170	0.0022	GLB1	1.4265	1.1097	1.8336	0.0056
CDKN2A	1.1748	1.0571	1.3055	0.0028	MOB3A	1.4527	1.1459	1.8416	0.0020
IRF3	1.4048	1.0834	1.8216	0.0103	BRD7	1.3897	1.0401	1.8567	0.0260
HRAS	1.4678	1.1958	1.8016	0.0002	PRKCD	1.4989	1.2458	1.8035	< 0.0001
ADCK5	1.3095	1.0375	1.6527	0.0232	CDK4	1.4798	1.2301	1.7800	< 0.0001
RUVBL2	1.7508	1.3029	2.3528	0.0002	BLVRA	1.1790	1.0296	1.3500	0.0172
ACLY	1.3734	1.1160	1.6901	0.0027	SENP1	1.5189	1.1628	1.9840	0.0022
TACC3	1.3618	1.1752	1.5780	< 0.0001	BMI1	1.6112	1.2516	2.0742	0.0002
SIRT6	1.6515	1.2586	2.1671	0.0003	DHX9	1.3908	1.1069	1.7477	0.0046
SUPT5H	1.5227	1.1449	2.0252	0.0039	RSL1D1	1.7134	1.2421	2.3634	0.0010
FOXM1	1.2772	1.1287	1.4454	0.0001	PAK4	1.2908	1.0419	1.5990	0.0195
PSMD14	1.9715	1.5043	2.5838	< 0.0001	PDCD10	1.6080	1.2369	2.0903	0.0004
HJURP	1.4529	1.2514	1.6869	< 0.0001	ASF1A	1.7774	1.3749	2.2977	< 0.0001
TRIM28	1.6005	1.2816	1.9988	< 0.0001	PNPT1	1.6790	1.2487	2.2576	0.0006
P3H1	1.9307	1.5257	2.4431	< 0.0001	MAPK12	1.2163	1.0478	1.4119	0.0101
MAGOHB	1.4601	1.0477	2.0346	0.0254	UBTD1	1.3794	1.0584	1.7977	0.0173
RBX1	1.6692	1.2410	2.2451	0.0007	KDM5B	1.3241	1.1029	1.5895	0.0026
MAGOH	1.6449	1.1977	2.2592	0.0021	USP1	1.4478	1.1790	1.7778	0.0004
CENPA	1.4947	1.2958	1.7241	< 0.0001	MAP3K7	1.4740	1.1327	1.9180	0.0039
EWSR1	1.9373	1.3937	2.693	< 0.0001	PKM	1.2079	1.0979	1.3290	0.0001
HSPA5	1.3234	1.0428	1.6796	0.0212	NINJ1	1.4743	1.0929	1.9888	0.0110
CHEK1	1.5484	1.2766	1.8780	< 0.0001	SERPINE1	1.1201	1.0226	1.2269	0.0147
PIAS4	1.4493	1.0683	1.9663	0.0171	BRCA1	1.4378	1.1653	1.7741	0.0007
PRPF19	2.5587	1.7707	3.6974	< 0.0001	DEK	1.2103	1.0125	1.4468	0.0360
MAPKAPK5	2.0718	1.4388	2.9834	< 0.0001	NDRG1	1.2946	1.1412	1.4686	< 0.0001
MAD2L1	1.4390	1.2065	1.7164	< 0.0001	SRC	1.2011	1.0507	1.3730	0.0073
TFAP4	1.9651	1.4205	2.7184	< 0.0001	ASPH	1.2007	1.0488	1.3746	0.0081
G6PD	1.3897	1.2500	1.5450	< 0.0001	STK32C	1.5149	1.2235	1.8759	0.0001
GAPDH	1.5984	1.2892	1.9818	< 0.0001	CDK2AP1	1.2327	1.0010	1.5181	0.0490
SMARCB1	1.4393	1.1297	1.8336	0.0032	KDM4A	1.3363	1.0476	1.7045	0.0196
LEO1	1.4005	1.0359	1.8934	0.0286	MMP9	1.1360	1.0384	1.2428	0.0054
TXN	1.3040	1.0667	1.5941	0.0096	HK3	1.2356	1.0293	1.4832	0.0232
HDAC4	1.5029	1.1470	1.9692	0.0031	VEGFA	1.2906	1.0657	1.5630	0.0090
FXR1	1.6935	1.2509	2.2927	0.0007	LGALS3	1.2041	1.0826	1.3392	0.0006
RAD21	1.3480	1.0928	1.6629	0.0053	AR	0.8662	0.7749	0.9682	0.0115
SRSF1	1.7610	1.2427	2.4955	0.0015	BAG3	1.2740	1.0326	1.5718	0.0238