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利用血清中的四种微小RNA组合进行膀胱癌诊断。

Bladder cancer diagnosis with a four-miRNA panel in serum.

作者信息

Li Xinji, Chen Wenkang, Li Rongkang, Chen Xuan, Huang Guocheng, Lu Chong, Wen Zhenyu, Peng Xiqi, Liu Kaihao, Zhang Chunduo, Li Hang, Hu Yimin, Zhao Zhengping, Tao Lingzhi, Lai Yongqing

机构信息

Department of Urology, Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, People's Republic of China.

Shantou University Medical College, Shantou, Guangdong, 515041, People's Republic of China.

出版信息

Future Oncol. 2022 Sep;18(29):3311-3322. doi: 10.2217/fon-2022-0448. Epub 2022 Sep 1.

Abstract

Bladder cancer is one of the most prevalent malignancies. Due to the disadvantage of existing bladder cancer diagnostic tools, miRNAs hold promise as new diagnostic markers. A total of 224 participants were involved in this three-cohort trial. A total of 15 candidate miRNAs were selected, and miRNAs with diagnostic ability were screened out with quantitative reverse transcription PCR. Diagnostic capability was ascertained by the receiver operating characteristic curve and area under the curve. Bioinformatics analysis was constructed for target gene prediction and functional annotation. Six candidate miRNAs showed significantly different expression between bladder cancer patients and normal controls, and the final diagnostic panel comprised miR-181b-5p, miR-183-5p, miR-199-5p and miR-221-3p. This four-miRNA panel could represent a stable biomarker for bladder cancer diagnosis.

摘要

膀胱癌是最常见的恶性肿瘤之一。由于现有膀胱癌诊断工具存在缺陷,微小RNA(miRNA)有望成为新的诊断标志物。共有224名参与者参与了这项三队列试验。总共选择了15种候选miRNA,并通过定量逆转录PCR筛选出具有诊断能力的miRNA。通过受试者工作特征曲线和曲线下面积确定诊断能力。构建生物信息学分析用于靶基因预测和功能注释。6种候选miRNA在膀胱癌患者和正常对照之间表现出显著不同的表达,最终的诊断组合包括miR-181b-5p、miR-183-5p、miR-199-5p和miR-221-3p。这个四miRNA组合可能代表一种用于膀胱癌诊断的稳定生物标志物。

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