乳腺癌术后并发卵巢癌的microRNA标志物筛选及临床早期预测研究

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Abstract Objective To investigate the differential expression of microRNAs and their correlation in patients with ovarian cancer after breast cancer operation by miRNA microarray, and to provide early prediction of postoperative ovarian cancer. Methods The patients with ovarian cancer who were admitted to Beijing Chaoyang Hospital, Capital Medical University from January 2000 to December 2014 were enrolled as research objects. The patients with ovarian cancer after breast cancer surgery were regarded as experimental group, patients with complication of benign gynecological tumors followed by breast cancer (benign control group) and patients with no any abnormal after breast cancer surgery (single breast cancer control group) were regarded as control. The miRNA microarray and qRT-PCR were used to detect the differentially expressed miRNA levels among the groups. Results A series of differentially expressed miRNAs were detected by miRNA microarray, among which miR-1234 was the most significantly differentially expressed, and the results of verification of miR-1234 expression by qRT-PCR also showed that the expression level of miR-1234 in the experimental group was significantly higher than that in the benign control group and the single breast cancer control group (P ＜ 0.05). The sensitivity and specificity of early prediction of ovarian cancer after breast cancer surgery by using miR-1234 were 80%. Conclusion miR-1234 is the most obvious difference between patients with ovarian cancer after breast cancer surgery and those without ovarian cancer after breast cancer surgery. It is expected to be a tumor marker for early prediction of ovarian cancer after breast cancer operation.

Key words： Breast-ovarian double primary cancer miR-1234 Tumor marker Preventive resection

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	WU Long1 LIU Chen1 JIANG Hongchuan2 LI Jie2 ZHENG Jiyan3 SHEN Ye3 DUAN Demin3▲ WANG Shuzhen1▲

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WU Long1 LIU Chen1 JIANG Hongchuan2 LI Jie2 ZHENG Jiyan3 SHEN Ye3 DUAN Demin3▲ WANG Shuzhen1▲. MicroRNA markers screening and early clinical prediction of ovarian cancer in breast cancer patients[J]. 中国医药导报, 2019, 16(7): 15-19.

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http://www.yiyaodaobao.com.cn/EN/ OR http://www.yiyaodaobao.com.cn/EN/Y2019/V16/I7/15

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