Abstract

p53 mutation is a marker of poor prognosis in breast cancers. To identify downstream targets of p53, we screened two transcriptome datasets, including cDNA microarrays of MCF10A breast epithelial cells with wild-type p53 or p53-null background, and RNA sequence analysis of breast invasive carcinoma. Here, we unveil ten novel p53 target candidates that are up-regulated after the induction of p53 in wild-type cells. Their expressions are also high in breast invasive carcinoma tissues with wild-type p53. The GO analysis identified epidermis development and ectoderm development, which COL17A1 participates, as significantly up-regulated by wild-type p53. The COL17A1 expressions increased in a p53-dependent manner in human breast cells and mouse mammary tissues. Reporter assay and ChIP assay identified intronic p53-binding sequences in the COL17A1 gene. The MDA-MB-231 cells that genetically over-express COL17A1 gene product exhibited reduced migration and invasion in vitro. Similarly, COL17A1 expression was decreased in metastatic tumors compared to primary tumors and normal tissues, even from the same patients. Moreover, high COL17A1 expression was associated with longer survival of patients with invasive breast carcinoma. In conclusion, we revealed that COL17A1 is a novel p53 transcriptional target in breast tissues that inhibits cell migration and invasion and is associated with better prognosis.

Highlights

  • Breast cancer is the most common cancer worldwide in women and contributed more than 25% of the total number of new cancer cases diagnosed in 2012 [1]

  • We identified 209 genes that were up-regulated more than 3-fold (P < 0.05) at 12, 24, or 48 hours after ADR treatment in MCF10A p53+/+ cells compared to MCF10A p53+/+ cells without ADR treatment or MCF10A p53−/− cells at any timepoint (Figure 1A)

  • We used the data obtained from a breast invasive carcinoma cohort (BRCA), The Cancer Genome Atlas (TCGA)

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Summary

Introduction

Breast cancer is the most common cancer worldwide in women and contributed more than 25% of the total number of new cancer cases diagnosed in 2012 [1]. The mutation frequency of the tumor suppressor p53 is relatively low in breast cancer compared to other solid tumors [2]; this mutation is the second most frequent genetic alteration observed in 30-35% of breast cancer cases [3, 4]. Previous studies have shown that p53 mutation is an independent marker of poor prognosis in breast cancers [5] and is associated with the response to specific treatment regimens in breast cancer [6]. The dysregulation of p53 targets via p53 inactivation may be related to the poor prognosis of breast cancer patients. The identification of p53 targets in breast tissues is important to understand the pathogenesis of breast cancer

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