血清 microRNA 谱构建用于透明细胞肾细胞癌的诊断三 miRNA 标志物。
Profiling of Serum miRNAs Constructs a Diagnostic 3-miRNA Panel for Clear-Cell Renal Cell Carcinoma.
机构信息
Department of Urology, Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, China; Shantou University Medical College, Shantou, Guangdong, 515041, China.
Department of Urology, Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, China; Anhui Medical University, Hefei, Anhui, 230032, China.
出版信息
Clin Genitourin Cancer. 2024 Feb;22(1):23-32. doi: 10.1016/j.clgc.2023.07.002. Epub 2023 Jul 5.
BACKGROUND
Renal cell carcinoma (RCC) carries significant morbidity and mortality globally with an increasing incidence per year predominantly represented by clear-cell renal cell carcinoma (ccRCC) which accounts for 70-80% of all RCC cases. MicroRNAs(miRNAs) implicate tumor development and progression in epigenetic mechanisms and available profiling of serum miRNAs potentiate them as diagnostic markers for various cancers.
MATERIALS AND METHODS
A total of 108 ccRCC patients and 112 normal controls were enrolled. A 3-stage experiment was conducted to identify differentially expressed serum miRNAs in ccRCC and establish a diagnostic miRNAs panel. Additionally, bioinformatic analysis was employed to predict selected miRNAs' target genes, preform functional annotation and explore the roles in ccRCC.
RESULTS
MiR-429, miR-10a-5p, miR-154-5p were found to be up-regulated miRNAs. Inversely, miR-27a-3p and miR-221-3p were found to be down-regulated miRNAs. These 5 miRNAs were selected to construct diagnostic panel by backward stepwise logistic regression analysis and ultimately a 3-miRNA panel (miR-429, miR-10a-5p and miR-27a-3p) was established [area under the curve (AUC) = 0.897, sensitivity = 85.0%, specificity = 83.3%].
CONCLUSION
The panel of 3-miRNA holds promise as a novel, convenient, and noninvasive diagnostic method for early detection of ccRCC.
背景
肾细胞癌（RCC）在全球范围内具有显著的发病率和死亡率，其发病率呈逐年上升趋势，主要表现为透明细胞肾细胞癌（ccRCC），占所有 RCC 病例的 70-80%。microRNAs（miRNAs）在表观遗传机制中暗示肿瘤的发生和发展，血清 miRNAs 的可用分析使其成为各种癌症的诊断标志物。
材料和方法
共纳入 108 例 ccRCC 患者和 112 例正常对照。进行了 3 个阶段的实验，以鉴定 ccRCC 中差异表达的血清 miRNAs 并建立诊断 miRNAs 面板。此外，还进行了生物信息学分析以预测选定 miRNAs 的靶基因，进行功能注释并探索它们在 ccRCC 中的作用。
结果
发现 miR-429、miR-10a-5p 和 miR-154-5p 是上调的 miRNAs。相反，miR-27a-3p 和 miR-221-3p 是下调的 miRNAs。通过后向逐步逻辑回归分析选择这 5 个 miRNAs 构建诊断面板，最终建立了一个 3-miRNA 面板（miR-429、miR-10a-5p 和 miR-27a-3p）[曲线下面积（AUC）=0.897，灵敏度=85.0%，特异性=83.3%]。
结论
该 3-miRNA 面板有望成为一种新型、方便、无创的 ccRCC 早期检测诊断方法。
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