Fig. 1: Elevated levels of scIgGs in tumor tissues are associated with clinical poor prognostic parameters of breast cancer patients.

a Representative scIgG staining images of FFPE fixed TMA from breast cancer patients. TMA staining was conducted using an anti-cleavage specific rabbit polyclonal antibody cocktail. TMA scIgG stains were grouped as negative (scIgG-), low (+), and high positive (++/+++). A representative image for each group is shown (scale bar =100 µm), n = 547. b Percentage of breast cancer patients in each scIgG staining groups: negative (n = 332), low (+) (n = 135) and scIgG high (++/+++), n = 80. c Cancer patients with lymph node metastasis had a significantly higher percentage of scIgG positive staining tumors. X-axis indicates node positive tumor (+, n = 201) and node negative tumor (−, n = 280) group and Y-axis indicates percentage of patients with scIgG staining in tumors, p = 0.0025. d Increased cancer tumor grades were positively associated higher percentage of scIgG positive staining in patient tumor, n = 543, p < 0.0001. e Tumors in breast cancer patients with high cancer grade (n = 283) had significantly higher percentage of scIgG positive staining that those with lower grade cancers (n = 229), p = 0.0002. f Patients with recurrence (n = 36) had significantly higher percentage of scIgG positive staining in tumor tissues than those without recurrence (n = 511), p = 0.0389. g Patients with scIgG positive tumor staining (n = 215) had higher recurrence rate than those with scIgG negative tumors (n = 332). The percentage of patients (%) with cancer recurrence in each groups is indicated in the graph, n = 215 for scIgG + (positive) tumors and n = 332 for scIgG- (negative) tumors. h The Goodness-of-Fitting parameters of multivariate analysis indicate that the analysis model predicts the dependent variables with overall significance (Sig.) value of 0.000. Chi-square value indicates model fitness and degrees of freedom (df) refers to the maximum number of logically independent values that have the freedom to vary in the sample set, n = 477. i Multivariate logistic regression test on effects of scIgG levels in tumors in relation with each clinical parameter. The four clinical parameters (variants) (node, grade, recurrence and survival) contribute meaningfully to the full effect (scIgG in tumors by IHC) using Likelihood ratio test model. Sig., for significance, p < 0.05 is considered as statistically significant, Df. indicates the degrees of freedom in the analysis and Chi-Square indicates goodness of model fitting, n = 477.