Wen Zhenyu, Li Yingqi, Zhao Zhengping, Li Rongkang, Li Xinji, Lu Chong, Sun Chen, Chen Wenkang, Ge Zhenjian, Ni Liangchao, Lai Yongqing
Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China.
Shantou University Medical College, Shantou, 515063, Guangdong, China.
Cancer Cell Int. 2024 Jan 8;24(1):18. doi: 10.1186/s12935-023-03187-z.
Although non-invasive radiological techniques are widely applied in kidney renal clear cell carcinoma (KIRC) diagnosis, more than 50% of KIRCs are detected incidentally during the diagnostic procedures to identify renal cell carcinoma (RCC). Thus, sensitive and accurate KIRC diagnostic methods are required. Therefore, in this study, we aimed to identify KIRC-associated microRNAs (miRNAs).
This three-phase study included 224 participants (112 each of patients with KIRC and healthy controls (NCs)). RT-qPCR was used to evaluate miRNA expression in KIRC and NC samples. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were used to predict the usefulness of serum miRNAs in KIRC diagnosis. In addition, we performed survival and bioinformatics analyses.
We found that miR-1-3p, miR-129-5p, miR-146b-5p, miR-187-3p, and miR-200a-3p were significantly differentially expressed in patients with KIRC. A panel consisting of three miRNAs (miR-1-3p, miR-129-5p, and miR-146b-5p) had an AUC of 0.895, ranging from 0.848 to 0.942. In addition, using the GEPIA database, we found that the miRNAs were associated with CREB5. According to the survival analysis, miR-146b-5p overexpression was indicative of a poorer prognosis in patients with KIRC.
The identified three-miRNA panel could serve as a non-invasive indicator for KIRC and CREB5 as a potential target gene for KIRC treatment.
尽管非侵入性放射技术在肾肾透明细胞癌(KIRC)诊断中广泛应用,但超过50%的KIRC是在诊断肾细胞癌(RCC)的过程中偶然发现的。因此,需要灵敏且准确的KIRC诊断方法。所以,在本研究中,我们旨在鉴定与KIRC相关的微小RNA(miRNA)。
这项三阶段研究纳入了224名参与者(KIRC患者和健康对照(NC)各112名)。采用逆转录定量聚合酶链反应(RT-qPCR)评估KIRC和NC样本中的miRNA表达。利用受试者工作特征(ROC)曲线及ROC曲线下面积(AUC)预测血清miRNA在KIRC诊断中的效用。此外,我们还进行了生存分析和生物信息学分析。
我们发现miR-1-3p、miR-129-5p、miR-146b-5p、miR-187-3p和miR-200a-3p在KIRC患者中显著差异表达。由三种miRNA(miR-1-3p、miR-129-5p和miR-146b-5p)组成的组合的AUC为0.895,范围在0.848至0.942之间。此外,利用基因表达谱交互分析(GEPIA)数据库,我们发现这些miRNA与CREB5相关。根据生存分析,miR-146b-5p过表达表明KIRC患者预后较差。
鉴定出的三种miRNA组合可作为KIRC的非侵入性指标,而CREB5作为KIRC治疗的潜在靶基因。