Literature DB >> 30728149

Independent Validation of a Diagnostic Noninvasive 3-MicroRNA Ratio Model (uCaP) for Prostate Cancer in Cell-Free Urine.

Jacob Fredsøe1,2, Anne K I Rasmussen3, Emma B Laursen1,2, Yunpeng Cai4, Kenneth A Howard4, Bodil G Pedersen2,5, Michael Borre2,6, Peter Mouritzen3, Torben Ørntoft1,2, Karina D Sørensen7,2.   

Abstract

BACKGROUND: Detection of prostate cancer (PC) based on serum prostate-specific antigen (PSA) testing leads to many unnecessary prostate biopsies, overdiagnosis, and overtreatment of clinically insignificant tumors. Thus, novel and more accurate molecular biomarkers are required.
METHODS: Using reverse transcription quantitative PCR, we measured the concentrations of 45 preselected microRNAs (miRNAs) in extracellular vesicle-enriched cell-free urine samples from 4 independent patient cohorts from Spain and Denmark, including 758 patients with clinically localized PC, 289 noncancer controls with benign prostatic hyperplasia (BPH), and 233 patients undergoing initial transrectal ultrasound (TRUS)-guided prostate biopsy owing to PC suspicion (101 with benign and 132 with malignant outcome). Diagnostic potential was assessed by ROC and decision curve analysis.
RESULTS: We identified and successfully validated 8 upregulated and 21 downregulated miRNAs in urine from PC patients. Furthermore, we validated a previously identified 3-miRNA diagnostic ratio model, uCaP (miR-222-3p*miR-24-3p/miR-30c-5p). High uCaP scores were distinctive of PC in urine samples from BPH vs PC patients in 3 independent cohorts [area under the curve (AUC) = 0.84, 0.71, 0.72]. Additionally, uCaP predicted TRUS biopsy results with greater accuracy than PSA (AUC uCaP = 0.644; AUC PSA = 0.527) for patients within the diagnostic gray zone (PSA ≤ 10 ng/mL).
CONCLUSIONS: We successfully validated a urine-based diagnostic 3-miRNA signature for PC (uCaP) in 3 independent patient cohorts from 2 countries. In the future, the simple and noninvasive uCaP test may be used to help more accurately select patients for prostate biopsy. Prospective clinical validation is warranted.
© 2019 American Association for Clinical Chemistry.

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Year:  2019        PMID: 30728149     DOI: 10.1373/clinchem.2018.296681

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  10 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

2.  Urine Cell-Free MicroRNAs in Localized Prostate Cancer Patients.

Authors:  Yoko Koh; Matias A Bustos; Jamie Moon; Rebecca Gross; Romela Irene Ramos; Suyeon Ryu; Jane Choe; Selena Y Lin; Warren M Allen; David L Krasne; Timothy G Wilson; Dave S B Hoon
Journal:  Cancers (Basel)       Date:  2022-05-12       Impact factor: 6.575

3.  Emerging roles and mechanisms of microRNA‑222‑3p in human cancer (Review).

Authors:  Danhua Wang; Yiwen Sang; Tao Sun; Piaoping Kong; Lingyu Zhang; Yibei Dai; Ying Cao; Zhihua Tao; Weiwei Liu
Journal:  Int J Oncol       Date:  2021-03-24       Impact factor: 5.650

4.  The Panel of 12 Cell-Free MicroRNAs as Potential Biomarkers in Prostate Neoplasms.

Authors:  Maria Yu Konoshenko; Evgeniy A Lekchnov; Olga E Bryzgunova; Ivan A Zaporozhchenko; Sergey V Yarmoschuk; Oksana A Pashkovskaya; Svetlana V Pak; Pavel P Laktionov
Journal:  Diagnostics (Basel)       Date:  2020-01-10

5.  High-Throughput and Automated Acoustic Trapping of Extracellular Vesicles to Identify microRNAs With Diagnostic Potential for Prostate Cancer.

Authors:  Anson Ku; Jacob Fredsøe; Karina D Sørensen; Michael Borre; Mikael Evander; Thomas Laurell; Hans Lilja; Yvonne Ceder
Journal:  Front Oncol       Date:  2021-03-25       Impact factor: 6.244

6.  Potential of miRNAs in urinary extracellular vesicles for management of active surveillance in prostate cancer patients.

Authors:  Manuel Ramirez-Garrastacho; Viktor Berge; Aija Linē; Alicia Llorente
Journal:  Br J Cancer       Date:  2021-11-22       Impact factor: 7.640

Review 7.  The miR-200 Family of microRNAs: Fine Tuners of Epithelial-Mesenchymal Transition and Circulating Cancer Biomarkers.

Authors:  Ilaria Cavallari; Francesco Ciccarese; Evgeniya Sharova; Loredana Urso; Vittoria Raimondi; Micol Silic-Benussi; Donna M D'Agostino; Vincenzo Ciminale
Journal:  Cancers (Basel)       Date:  2021-11-23       Impact factor: 6.639

8.  Predicting Grade group 2 or higher cancer at prostate biopsy by 4Kscore in blood and uCaP microRNA model in urine.

Authors:  Jacob Fredsøe; Martin Rasmussen; Amy L Tin; Andrew J Vickers; Michael Borre; Karina D Sørensen; Hans Lilja
Journal:  Sci Rep       Date:  2022-09-07       Impact factor: 4.996

9.  MicroRNA panel in serum reveals novel diagnostic biomarkers for prostate cancer.

Authors:  Shiyu Zhang; Cheng Liu; Xuan Zou; Xiangnan Geng; Xin Zhou; XingChen Fan; Danxia Zhu; Huo Zhang; Wei Zhu
Journal:  PeerJ       Date:  2021-05-19       Impact factor: 2.984

10.  Profiling of Circulating microRNAs in Prostate Cancer Reveals Diagnostic Biomarker Potential.

Authors:  Jacob Fredsøe; Anne K I Rasmussen; Peter Mouritzen; Marianne T Bjerre; Peter Østergren; Mikkel Fode; Michael Borre; Karina D Sørensen
Journal:  Diagnostics (Basel)       Date:  2020-03-28
  10 in total

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