Figure 2.

Wnt signaling activation were strongly correlated with poorer prognosis.

A cluster of Wnt signaling factors were selected and applied for survival risk analysis by using CBIOPORTAL FOR CANCER GENOMIC (http://www.cbioportal.org/). (a) Alternation (Red line, 786 cases) was defined with the amplification only mode, and the amplification of Wnt signaling factors were detected and referred to shorter survival periods significantly, p = 0.0013. (b) Heatmap results of factors of Wnt signaling clusters (18 genes) from data base of Breast Cancer Samples with sequencing and CNA data (2051 samples) were showed, and multiple Wnt signaling factors were universally highly overexpressed. Kaplan-Meier data analysis was also made, and results revealed the tumor suppressive miR-146 (c), and the oncogenic Snai1 (d) when predicating breast cancer prognosis. Enrolled samples number was indicated below the diagram. (e) Wnt signaling effector of TCF-4 was strongly correlated to the stem cells’ effector (left) and the ratio of stem cells with ALDH1A1 phenotype (right). (f) The predicated Wnt signaling activator of non-coding H19 was strongly correlated with Snai1 overexpression.