Affordable Access

Publisher Website

A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma.

Authors
  • Wen, Zhenyu1, 2
  • Li, Yingqi1, 3
  • Zhao, Zhengping1
  • Li, Rongkang1, 4
  • Li, Xinji1, 2
  • Lu, Chong1, 4
  • Sun, Chen1, 4
  • Chen, Wenkang1, 2
  • Ge, Zhenjian1, 2
  • Ni, Liangchao5
  • Lai, Yongqing6
  • 1 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. , (China)
  • 2 Shantou University Medical College, Shantou, 515063, Guangdong, China. , (China)
  • 3 Shenzhen University, Shenzhen, 518055, Guangdong, China. , (China)
  • 4 Anhui Medical University, Hefei, 230032, Anhui, China. , (China)
  • 5 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. [email protected]. , (China)
  • 6 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. [email protected]. , (China)
Type
Published Article
Journal
Cancer Cell International
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Jan 08, 2024
Volume
24
Issue
1
Pages
18–18
Identifiers
DOI: 10.1186/s12935-023-03187-z
PMID: 38191389
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

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. © 2023. The Author(s).

Report this publication

Statistics

Seen <100 times