Literature DB >> 30808771

Large-scale Circulating microRNA Profiling for the Liquid Biopsy of Prostate Cancer.

Fumihiko Urabe1,2, Juntaro Matsuzaki1, Yusuke Yamamoto1, Takahiro Kimura2, Tomohiko Hara3, Makiko Ichikawa1,4, Satoko Takizawa1,4, Yoshiaki Aoki5, Shumpei Niida6, Hiromi Sakamoto7, Ken Kato8, Shin Egawa2, Hiroyuki Fujimoto3, Takahiro Ochiya9.   

Abstract

PURPOSE: The high false-positive rate of prostate-specific antigen (PSA) may lead to unnecessary prostate biopsies. Therefore, the United States Preventive Services Task Force recommends that decisions regarding PSA-based screening of prostate cancer should be made with caution in men ages 55-69 years, and that men ≥70 years should not undergo PSA screening. Here, we investigated the potential of serum miRNAs as an accurate diagnostic method in patients with suspected prostate cancer. EXPERIMENTAL
DESIGN: Serum samples of 809 patients with prostate cancer, 241 negative prostate biopsies, and 500 patients with other cancer types were obtained from the National Cancer Center, Japan. Forty-one healthy control samples were obtained from two other hospitals in Japan. Comprehensive microarray analysis was performed for all samples. Samples were divided into three sets. Candidate miRNAs for prostate cancer detection were identified in the discovery set (n = 123). A diagnostic model was constructed using combinations of candidate miRNAs in the training set (n = 484). The performance of the diagnostic model was evaluated in the validation set (n = 484).
RESULTS: In the discovery set, 18 candidate miRNAs were identified. A robust diagnostic model was constructed using the combination of two miRNAs (miR-17-3p and miR-1185-2-3p) in the training set. High diagnostic performance with a sensitivity of 90% and a specificity of 90% was achieved in the validation set regardless of the Gleason score and clinical tumor-node-metastasis stage.
CONCLUSIONS: The model developed in this study may help improve the diagnosis of prostate cancer and reduce the number of unnecessary prostate biopsies. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 30808771     DOI: 10.1158/1078-0432.CCR-18-2849

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  27 in total

Review 1.  The potential of cell-free and exosomal microRNAs as biomarkers in liquid biopsy in patients with prostate cancer.

Authors:  Monyse de Nóbrega; Mariana Bisarro Dos Reis; Érica Romão Pereira; Marilesia Ferreira de Souza; Ilce Mara de Syllos Cólus
Journal:  J Cancer Res Clin Oncol       Date:  2022-08-04       Impact factor: 4.322

2.  Small extracellular vesicle-associated miR-6068 promotes aggressive phenotypes of prostate cancer through miR-6068/HIC2/SIRT1 axis.

Authors:  Mohamed S A Gaballah; Hamdy E A Ali; Zeinab A Hassan; Shahenda Mahgoub; Hamid I Ali; Johng S Rhim; Mourad Zerfaoui; Khalid A El Sayed; David Stephen; Paul W Sylvester; Zakaria Y Abd Elmageed
Journal:  Am J Cancer Res       Date:  2022-08-15       Impact factor: 5.942

3.  MiR-19b-3p and miR-101-3p as potential biomarkers for prostate cancer diagnosis and prognosis.

Authors:  Rocío B Duca; Cintia Massillo; Guillermo N Dalton; Paula L Farré; Karen D Graña; Kevin Gardner; Adriana De Siervi
Journal:  Am J Cancer Res       Date:  2021-06-15       Impact factor: 6.166

4.  Predict Colon Cancer by Pairing Plasma miRNAs: Establishment of a Normalizer-Free, Cross-Platform Model.

Authors:  Da Qin; Qingdong Guo; Rui Wei; Si Liu; Shengtao Zhu; Shutian Zhang; Li Min
Journal:  Front Oncol       Date:  2021-04-22       Impact factor: 6.244

5.  Development and Validation of a Novel Circulating miRNA-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma.

Authors:  Bin Yu; Shujun Zhou; Han Liang; Qifa Ye; Yanfeng Wang
Journal:  Dig Dis Sci       Date:  2021-05-12       Impact factor: 3.487

6.  Expression and Regulatory Network Analysis of MiR-139-3p, a New Potential Serum Biomarker for Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis.

Authors:  Yonghong Wang; Qimei Fang; Liru Tian; Zhongzhen Yuan; Lizhen Tian; Zhongli Zhou
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec

7.  Construction of a Nine-MicroRNA-Based Signature to Predict the Overall Survival of Esophageal Cancer Patients.

Authors:  Xiaobin Zhang; Yi He; Haiyong Gu; Zhichao Liu; Bin Li; Yang Yang; Jie Hao; Rong Hua
Journal:  Front Genet       Date:  2021-05-19       Impact factor: 4.599

8.  A novel combination of serum microRNAs for the detection of early gastric cancer.

Authors:  Seiichiro Abe; Juntaro Matsuzaki; Kazuki Sudo; Ichiro Oda; Hitoshi Katai; Ken Kato; Satoko Takizawa; Hiromi Sakamoto; Fumitaka Takeshita; Shumpei Niida; Yutaka Saito; Takahiro Ochiya
Journal:  Gastric Cancer       Date:  2021-03-20       Impact factor: 7.370

9.  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.  A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse.

Authors:  Hsiao-Chin Hong; Cheng-Hsun Chuang; Wei-Chih Huang; Shun-Long Weng; Chia-Hung Chen; Kuang-Hsin Chang; Kuang-Wen Liao; Hsien-Da Huang
Journal:  Theranostics       Date:  2020-07-09       Impact factor: 11.556

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