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. 2019 May 28;75(1):118–127. doi: 10.1111/his.13860

Table 3.

Multivariate linear regression of SMO, GLI‐1, p53 and p16 correlated with multiple parameters

SMO GLI‐1 p53 p16
t‐value P‐value t‐value P‐value t‐value P‐value t‐value P‐value
pT −0.376 0.708 −1.970 0.053 −0.301 0.765 0.701 0.486
pN 0.795 0.430 1.249 0.216 −0.420 0.676 0.328 0.744
Grading −0.391 0.697 1.024 0.309 2.969 0.004 −0.536 0.594
SMO NA NA 2.810 0.007 1.084 0.282 −1.798 0.077
GLI‐1 2.810 0.007 NA NA −0.494 0.623 1.316 0.193
p53 1.084 0.282 −0.494 0.623 NA NA 0.304 0.762
p16 −1.798 0.077 1.316 0.193 0.304 0.762 NA NA

Significant associations are depicted in bold type. pT, tumour–node–metastasis (TNM) classification of malignant tumours T stage; pN, TNM classification of malignant tumours N stage; GLI‐1, GLI family zinc finger 1; SMO, smoothened, frizzled class receptor; p53, tumour protein p53; NA, not applicable; P16, cyclin‐dependent kinase inhibitor 2A, multiple tumour suppressor 1.