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. 2018 Feb 22;9(18):14552–14566. doi: 10.18632/oncotarget.24545

Table 3. Binary logistic regression model identifies tumour depth as an independent predictor of lower cSCC R-Smad activity.

Variable DF Χ2 (Wald) P (<0.05) R.R 95% CI
Depth 1 7.447 0.006 1.127 1.034-1.227
Poorly diff 1 3.125 0.077
Site = Lower limb 1 1.168 0.280
Diameter - 1.107 0.293
Invasion beyond fat 1 0.739 0.390
Site = Torso 1 0.629 0.428
Clark level ≥IV 1 0.140 0.708
Site = Upper limb 1 0.114 0.736
Site = High-risk H&N 1 0.82 0.774
PNI 1 0.48 0.827
Site = Low-risk H&N 1 0.019 0.889

Binary outcome = TGF-β Signalling “off” * (0=No, 1=Yes).

*≤25th Percentile of the mean (PO4-SMAD2 = ≤ 76, PO4-SMAD3 = ≤ 41). B = Co-efficients, S.E = Standard error of co-efficients, Wald = Wald chi-squared value. df = degree of freedom, Sig. = 2-tailed p-value for testing null hypothesis. Exp(B) = Exponentiation of co-efficients (Odds ratios), C.I = Confidence intervals. H&N = Sun-exposed head and neck, Clark Level IV = Invasion into the reticular dermis, PNI = Perineural invasion.