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Bladder cancer diagnosis with a four-miRNA panel in serum.
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.
Affiliation
  • Li X; 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.
  • Chen W; Shantou University Medical College, Shantou, Guangdong, 515041, People's Republic of China.
  • Li R; 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.
  • Chen X; Shantou University Medical College, Shantou, Guangdong, 515041, People's Republic of China.
  • Huang G; 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.
  • Lu C; Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.
  • Wen Z; 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.
  • Peng X; Shantou University Medical College, Shantou, Guangdong, 515041, People's Republic of China.
  • Liu K; 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.
  • Zhang C; Shantou University Medical College, Shantou, Guangdong, 515041, People's Republic of China.
  • Li H; 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.
  • Hu Y; Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.
  • Zhao Z; 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.
  • Tao L; Shantou University Medical College, Shantou, Guangdong, 515041, People's Republic of China.
  • Lai Y; 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.
Future Oncol ; 18(29): 3311-3322, 2022 Sep.
Article in En | MEDLINE | ID: mdl-36047424
ABSTRACT

Background:

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. Materials &

methods:

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.

Results:

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.

Conclusion:

This four-miRNA panel could represent a stable biomarker for bladder cancer diagnosis.
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. After an experiment composed of 224 participants, the authors screened out six candidate miRNAs that may contribute to diagnosing bladder cancer. The authors also repeatedly verified the reliability of candidate miRNAs. Finally, a combination of multiple miRNAs, consisting of miR-181b-5p, miR-183-5p, miR-199-5p, and miR-221-3p, was better and more reliable in predicting bladder cancer occurrence.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urinary Bladder Neoplasms / MicroRNAs Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Future Oncol Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urinary Bladder Neoplasms / MicroRNAs Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Future Oncol Year: 2022 Document type: Article