Literature DB >> 32191585

Expression of Small Noncoding RNAs in Urinary Exosomes Classifies Prostate Cancer into Indolent and Aggressive Disease.

Wei-Lin Winnie Wang1, Igor Sorokin2, Ilija Aleksic2, Badar Mian2, Hugh Fisher2, Ron Kaufman2, Andrew Winer3, Brian McNeill3, Raavi Gupta3, Derya Tilki4, Neil Fleshner5, Laurence Klotz6, A Gregory DiRienzo1, Martin Tenniswood1.   

Abstract

PURPOSE: This is the first report of the development and performance of a platform that interrogates small noncoding RNAs (sncRNA) isolated from urinary exosomes (the miR Sentinel™ Tests): the Sentinel™ PCa Test, that classifies patients with prostate cancer from subjects with no evidence of prostate cancer, the miR Sentinel™ CS Test, that stratifies patients with prostate cancer between those with low risk prostate cancer (GG1) from those with intermediate and high risk disease (GG2-5), and the miR Sentinel™ HG Test, that stratifies prostate cancer patients between those with low and favorable intermediate risk prostate cancer (GG1 or GG2) versus those with high risk (GG3-5) disease.
MATERIALS AND METHODS: sncRNAs were extracted from urinary exosomes of 235 participants and interrogated on miR 4.0 microarrays. Using proprietary Selection and Classification Algorithms, informative sncRNAs were selected to customize an interrogation OpenArray™ platform that forms the basis of the tests. The tests were validated using a case-control sample of 1,436 subjects.
RESULTS: The performance of the miR Sentinel™ PCa Test demonstrated sensitivity 94% and specificity 92%. The Sentinel™ CS Test demonstrated a sensitivity of 93% and specificity 90% for prediction of the presence of GG 2 or greater cancer, and the Sentinel™ HG Test demonstrated a sensitivity of 94% and specificity of 96% for the prediction of the presence of GG 3 or greater cancer.
CONCLUSIONS: The Sentinel™ PCa, CS and HG Tests, demonstrated high levels of sensitivity and specificity, highlighting the utility of interrogation of urinary exosomal sncRNAs for noninvasively diagnosing and classifying prostate cancer with high precision.

Entities:  

Year:  2020        PMID: 32191585     DOI: 10.1097/JU.0000000000001020

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  8 in total

Review 1.  Urinary microRNAs and Their Significance in Prostate Cancer Diagnosis: A 5-Year Update.

Authors:  Jaroslav Juracek; Marie Madrzyk; Michal Stanik; Ondrej Slaby
Journal:  Cancers (Basel)       Date:  2022-06-28       Impact factor: 6.575

Review 2.  Combinatorial Power of cfDNA, CTCs and EVs in Oncology.

Authors:  Corinna Keup; Rainer Kimmig; Sabine Kasimir-Bauer
Journal:  Diagnostics (Basel)       Date:  2022-03-31

Review 3.  Extracellular vesicles in prostate cancer: a narrative review.

Authors:  Koji Hatano; Kazutoshi Fujita
Journal:  Transl Androl Urol       Date:  2021-04

4.  Urinary Exosomes Diagnosis of Urological Tumors: A Systematic Review and Meta-Analysis.

Authors:  Yipeng Xu; Jianmin Lou; Mingke Yu; Yingjun Jiang; Han Xu; Yueyu Huang; Yun Gao; Hua Wang; Guorong Li; Zongping Wang; An Zhao
Journal:  Front Oncol       Date:  2021-09-10       Impact factor: 6.244

Review 5.  Blood and urine biomarkers in prostate cancer: Are we ready for reflex testing in men with an elevated prostate-specific antigen?

Authors:  Edward K Chang; Adam J Gadzinski; Yaw A Nyame
Journal:  Asian J Urol       Date:  2021-06-23

Review 6.  Extracellular vesicles as a source of prostate cancer biomarkers in liquid biopsies: a decade of research.

Authors:  Manuel Ramirez-Garrastacho; Cristina Bajo-Santos; Jesus Martinez de la Fuente; Maria Moros; Carolina Soekmadji; Kristin Austlid Tasken; Aija Line; Elena S Martens-Uzunova; Alicia Llorente
Journal:  Br J Cancer       Date:  2021-11-22       Impact factor: 7.640

Review 7.  Molecular mechanisms and clinical applications of exosomes in prostate cancer.

Authors:  Xiaolin Cui; Qiang Fu; Xueying Wang; Pengcheng Xia; Xianglun Cui; Xiaohui Bai; Zhiming Lu
Journal:  Biomark Res       Date:  2022-07-29

Review 8.  Biomarkers for prostate cancer detection and risk stratification.

Authors:  Mark W Farha; Simpa S Salami
Journal:  Ther Adv Urol       Date:  2022-06-14
  8 in total

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