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The role of miRNAs in drug resistance and prognosis of breast cancer formalin-fixed paraffin-embedded tissues
- Chen, Xiu, Lu, Peng, Wang, Dan-dan, Yang, Su-jin, Wu, Ying, Shen, Hong-Yu, Zhong, Shan-liang, Zhao, Jian-hua, Tang, Jin-hai
- Gene 2016 v.595 no.2 pp. 221-226
- biomarkers, biopsy, breast neoplasms, drug resistance, drug therapy, in vitro studies, microRNA, patients, prediction, prognosis, quantitative polymerase chain reaction, reverse transcriptase polymerase chain reaction, tissues
- Chemoresistance mediated by miRNAs in breast cancer have been already validated by previous studies in vitro, while little is known concerning the expression of them in vivo. The aim of this study was to investigate the role of miR-222, miR-29a, miR-34a, miR-130a, miR-90b, miR-200b, miR-452, miR-197, miR-138, miR-210, miR-423, miR-4298, miR-4644, miR-139, miR-1246, miR-1268a, miR-140, miR-149, miR-3178, miR-3613, miR-4258, miR-574, miR-671, miR-6780b, miR-7107, miR-744 and miR-7847 linked to drug resistance in breast cancer formalin-fixed paraffin-embedded tissues and the association of prognosis with miRNAs, thus providing effective targets in chemotherapy, as well as potential biomarkers for guiding effective treatments of breast cancer.The relationship between the expression of diverse miRNAs and drug resistance was detected by RT-qPCR using 55 breast cancer FFPE tissues containing 26 paired FFPE specimens.MiR-222, miR-29a, miR-34a, miR-423, miR-140, miR-3178, miR-574, miR-6780b and miR-744 exhibited significantly higher expression levels in surgically-resected specimens compared with pre-neoadjuvant chemotherapy biopsies. Evidently high expression of miR-222, miR-29a, miR-140, miR-574, miR-6780b, miR-7107 and miR-744 were found in ineffective group comparing with effective group. Further investigations revealed the significant association between several miRNAs in breast cancer patients.This study highlights the role of numerous miRNAs in prediction of therapeutic responses and suggests that specific miRNAs could serve as valuable sources for biomarker detections and optimal chemotherapeutic choices for breast cancer patients.