LOCC: a novel visualization and scoring of cutoffs for continuous variables with hepatocellular carcinoma prognosis as an example

Table 2 LOCC score of RISK gene signature

Gene	− log (lowest p value)	Highly significantly range (p < 0.01)	Highest HR	Lowest HR	HR at significant cutoff	LOCC score	Log₂ LOCC score	ROC AUC	Good or poor prognosis	Cox regression exp(β)	Absolute value (β)	Cox regression p value	− log(cox p value)
KIF20A	16.097	0.709	4.094	1.470	4.094	46.8	5.548	0.604	Poor	1.320	0.278	0.000006	5.22
TTK	9.874	0.694	3.291	1.232	3.291	22.2	4.472	0.593	Poor	1.260	0.231	0.00002	4.70
TPX2	5.650	0.818	2.761	1.661	2.761	12.8	3.678	0.617	Poor	1.375	0.318	0.000004	5.40
LCAT	8.077	0.598	0.714	0.381	0.381	12.7	3.667	0.614	Good	0.795	0.229	0.000001	6.00
SPP1	5.692	0.799	2.415	1.740	2.312	10.5	3.392	0.617	Poor	1.125	0.118	0.000004	5.40
HMMR	5.363	0.780	2.480	1.417	2.199	9.2	3.202	0.607	Poor	1.299	0.262	0.00002	4.70
CYP2C9	5.599	0.658	0.677	0.410	0.449	8.2	3.036	0.611	Good	0.900	0.105	0.0001	4.00
ANXA10	4.993	0.738	0.781	0.420	0.469	7.9	2.982	0.607	Good	0.887	0.120	0.0001	4.00
RDH16	5.332	0.562	0.689	0.452	0.452	6.6	2.722	0.593	Good	0.897	0.109	0.0002	3.70
LECT2	5.041	0.501	0.847	0.430	0.430	5.9	2.555	0.596	Good	0.920	0.083	0.0002	3.70
LAPTM4B	4.836	0.543	2.532	1.444	2.094	5.5	2.459	0.583	Poor	1.270	0.239	0.0003	3.52
MAGEA6	3.540	0.256	2.030	1.000	2.335	1.8	0.880	0.570	Poor	1.060	0.058	0.001	3.00
Top 8 versus Bot 4 (t test p value)	0.065	0.028	0.356	0.442	0.380	0.046	0.022	0.019		0.499	0.135	0.134	0.00070

ISSN: 1471-2105