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Unveiling potential: urinary exosomal mRNAs as non-invasive biomarkers for early prostate cancer diagnosis. | LitMetric

Unveiling potential: urinary exosomal mRNAs as non-invasive biomarkers for early prostate cancer diagnosis.

BMC Urol

Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Medical University, No.22 Shuangyong Road, Qingxiu District, Nanning, Guangxi, 530021, P.R. China.

Published: August 2024

AI Article Synopsis

  • The study explored urinary exosomal mRNA as a potential early biomarker for prostate cancer (PCa), comparing samples from individuals with and without cancer.
  • Utilizing next-generation sequencing and further validation with qRT-PCR, researchers identified specific mRNAs, particularly RAB5B and WWP1, that showed promise in distinguishing PCa patients from healthy individuals.
  • The combination of RAB5B and WWP1 outperformed traditional PSA tests with a high area under the curve (AUC) value of 0.923, suggesting that this method could significantly enhance early detection of PCa.

Article Abstract

Background: This study investigated the use of urinary exosomal mRNA as a potential biomarker for the early detection of prostate cancer (PCa).

Methods: Next-generation sequencing was utilized to analyze exosomal RNA from 10 individuals with confirmed PCa and 10 individuals without cancer. Subsequent validation through qRT-PCR in a larger sample of 43 PCa patients and 92 healthy controls revealed distinct mRNA signatures associated with PCa.

Results: Notably, mRNAs for RAB5B, WWP1, HIST2H2BF, ZFY, MARK2, PASK, RBM10, and NRSN2 showed promise as diagnostic markers, with AUC values between 0.799 and 0.906 and significance p values. Combining RAB5B and WWP1 in an exoRNA diagnostic model outperformed traditional PSA tests, achieving an AUC of 0.923, 81.4% sensitivity, and 89.1% specificity.

Conclusions: These findings highlight the potential of urinary exosomal mRNA profiling, particularly focusing on RAB5B and WWP1, as a valuable strategy for improving the early detection of PCa.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11292860PMC
http://dx.doi.org/10.1186/s12894-024-01540-6DOI Listing

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