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. 2009 Nov;175(5):1848–1857. doi: 10.2353/ajpath.2009.090246

Table 5.

Summary of Results for Cox’s Proportional Hazards Model for Cancer-Related Deaths

Tumor variable* β SE χ2§ df P RR** 95% CI**
AGR2 2.247 0.616 13.317 1 0.0001 9.463 (2.83–31.639)
S100P 1.070 0.324 10.887 1 0.001 2.916 (1.544–5.507)
C-erbB-2 0.893 0.272 10.740 1 0.001 2.442 (1.432–4.165)
S100A4 0.809 0.268 9.124 1 0.003 2.247 (1.329–3.799)
OPN 1.520 0.534 8.098 1 0.004 4.573 (1.605–13.028)
p53 0.640 0.254 6.342 1 0.012 1.896 (1.152–3.119)
*

Tumor variable that showed a statistically significant association with patient survival times in the univariate analysis for 166 patient cases available with full data sets. Only comparison between patients with involved lymph nodes, all tumor sizes (T1–T4), all histological grades (I–III), staining for AGR2 (using AGR2 mAb), S100P, OPN, S100A4, ERα, c-erbB-2 and p53 were made. Analysis is shown in full in Supplemental Data (Supplemental Tables S1 to S6, see http://ajp.amjpathol.org). 

Value of β parameter (=loge RR) in the Cox’s multiple regression analysis (Materials and Methods). 

SE of β. 

§

Cox’s statistic χ2

Degree of freedom. 

Probability from Cox’s statistic, χ2, 1 d.f. in each case. Overall, χ2 = 111.21, 6 d.f., P < 0.0001; residual χ2 = 14.29, 4 d.f., P = 0.006. 

**

RR for survival and 95% CI from multivariate analysis.