Table 1.

Univariate and multivariate analysis of model risk value and other clinical indicators.

	Univariate analysis		Multivariate analysis
	Hazard ratio (95%CI)	pvalue	Hazard ratio (95%CI)	pvalue
Grade	1.115(0.858–1.454)	0.422	1.107(0.830–1.479)	0.489
T stage	1.76(1.430–2.165)	<0.001	1.456(0.680–3.119)	0.334
AJCC stage	1.789(1.436–2.229)	<0.001	1.010(0.447–2.287)	0.98
Status	2.717(1.786–4.133)	<0.001	2.246(1.451–3.477)	<0.001
Riskscore	3.293(2.138–5.074)	<0.001	3.635(1.714–7.710)	<0.001

Note: The abbreviations in the table are as follows, which are derived from the guidelines of the American Joint Committee on Cancer (AJCC). Grade: A numerical value expressing the degree of abnormality of cancer cells. It is an indicator of differentiation and invasiveness. T stage: Extent of the primary cancer when the patient was first diagnosed. AJCC Stage: The extent of a cancer, that whether the disease has spread from the original site to other parts of the body. Status: The neoplasm cancer status when the patient was first diagnosed. Risk scores were predicted by a multivariate cox regression model constructed from 10 prognostic genes. The model was constructed by executing the coxph function and the patient's risk score was calculated by the predict function of the survival R package. The mathematical formula is: Riskscore = h0(t) * exp (β1X1 + β2X2 + … + βnXn). Xn represents 10 prognostic genes, βn represents the regression coefficient of the gene, exp represents the expression level of the gene, and h0(t) is a constant.