Expression of miR-18a and miR-210 in Normal Breast Tissue as Candidate Biomarkers of Breast Cancer Risk

Autor: David Ivancic, Jared M. Bischof, Megan E. Sullivan, Seema A. Khan, Jun Wang, Ali Shidfar, Marcelo B. Soares, Denise M. Scholtens, Fabricio F. Costa, Elio F. Vanin
Rok vydání: 2016
Předmět:
Zdroj: Cancer prevention research (Philadelphia, Pa.). 10(1)
ISSN: 1940-6215
Popis: miRNAs are noncoding RNAs with abnormal expression in breast cancer; their expression in high-risk benign breast tissue may relate to breast cancer risk. We examined miRNA profiles in contralateral unaffected breasts (CUB) of patients with breast cancer and validated resulting candidates in two additional sample sets. Expression profiles of 754 mature miRNAs were examined using TaqMan Low Density Arrays in 30 breast cancer samples [15 estrogen receptor (ER)-positive and 15 ER-negative] and paired CUBs and 15 reduction mammoplasty controls. Pairwise comparisons identified miRNAs with significantly differential expression. Seven candidate miRNAs were examined using qRT-PCR in a second CUB sample set (40 cases, 20 ER+, 20 ER−) and 20 reduction mammoplasty controls. Further validation was performed in 80 benign breast biopsy (BBB) samples; 40 from cases who subsequently developed breast cancer and 40 from controls who did not. Logistic regression, using tertiles of miRNA expression, was used to discriminate cases from controls. Seven miRNAs were differentially expressed in tumors and CUBs versus reduction mammoplasty samples. Among them, miR-18a and miR-210 were validated in the second CUB set, showing significantly higher expression in tumor and CUBs than in reduction mammoplasty controls. The expression of miR-18a and miR-210 was also significantly higher in BBB cases than in BBB controls. When both miR-18a and miR-210 were expressed in the upper tertiles in BBB, OR for subsequent cancer was 3.20, P = 0.023. miR-18a and miR-210 are expressed at higher levels in CUBs of patients with breast cancer, and in BBB prior to cancer development, and are therefore candidate breast cancer risk biomarkers. Cancer Prev Res; 10(1); 89–97. ©2016 AACR.
Databáze: OpenAIRE