Literature DB >> 31055874

Genomic Classifiers for Treatment Selection in Newly Diagnosed Prostate Cancer.

Noam David Fine1, Fred LaPolla2, Matthew Epstein3, Stacy Loeb4, Hasan Dani5.   

Abstract

OBJECTIVE: To systematically review the literature on genomic tests for prostate cancer (PCa) and evaluate the current state of the evidence on their use in patients with newly diagnosed PCa.
METHODS: We conducted a systematic review by searching PubMed, Embase, Cochrane Central, and conference abstracts from the American Urological Association published between 2010 and 2018. Studies evaluating Prolaris, Oncotype Dx, and Decipher assays were assessed for inclusion by two authors. Studies were excluded if the results were derived from surgical specimens rather than biopsy specimens. Meta-analysis was not performed owing to significant variations in methodologies, definitions and outcome measures.
RESULTS: A total of 729 articles were retrieved in our initial search. After removing duplicates (270) and excluding articles deemed not relevant (432), 21 full-text articles were deemed suitable for inclusion in our analysis. The full-text articles comprised 8 studies on Prolaris, 8 studies on Oncotype Dx, and 5 studies on Decipher. For each genomic test we extracted data regarding the risk of adverse pathology, biochemical recurrence, metastasis, and prostate cancer mortality.
CONCLUSION: The results of genomic tests that use biomarkers derived from prostate biopsy can be used in conjunction with clinicopathologic variables to improve our ability to risk stratify patients with newly diagnosed prostate cancer. Additional data are needed on the impact of using these tests on long-term patient outcomes and their cost-effectiveness. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Entities:  

Year:  2019        PMID: 31055874     DOI: 10.1111/bju.14799

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  6 in total

1.  Adjuvant radiotherapy in prostate cancer patients with positive margins or extracapsular extension.

Authors:  Chandler Bronkema; Nikola Rakic; Firas Abdollah
Journal:  Ann Transl Med       Date:  2019-12

2.  Prostate cancer histopathology using label-free multispectral deep-UV microscopy quantifies phenotypes of tumor aggressiveness and enables multiple diagnostic virtual stains.

Authors:  Soheil Soltani; Ashkan Ojaghi; Hui Qiao; Nischita Kaza; Xinyang Li; Qionghai Dai; Adeboye O Osunkoya; Francisco E Robles
Journal:  Sci Rep       Date:  2022-06-04       Impact factor: 4.996

3.  A Novel Predictor Tool of Biochemical Recurrence after Radical Prostatectomy Based on a Five-MicroRNA Tissue Signature.

Authors:  Zhongwei Zhao; Sabine Weickmann; Monika Jung; Michael Lein; Ergin Kilic; Carsten Stephan; Andreas Erbersdobler; Annika Fendler; Klaus Jung
Journal:  Cancers (Basel)       Date:  2019-10-21       Impact factor: 6.639

4.  A new risk stratification system of prostate cancer to identify high-risk biochemical recurrence patients.

Authors:  Xiangkun Wu; Daojun Lv; Md Eftekhar; Aisha Khan; Chao Cai; Zhijian Zhao; Di Gu; Yongda Liu
Journal:  Transl Androl Urol       Date:  2020-12

5.  Circular RNAs and Their Linear Transcripts as Diagnostic and Prognostic Tissue Biomarkers in Prostate Cancer after Prostatectomy in Combination with Clinicopathological Factors.

Authors:  Hannah Rochow; Monika Jung; Sabine Weickmann; Bernhard Ralla; Carsten Stephan; Sefer Elezkurtaj; Ergin Kilic; Zhongwei Zhao; Klaus Jung; Annika Fendler; Antonia Franz
Journal:  Int J Mol Sci       Date:  2020-10-22       Impact factor: 5.923

Review 6.  Health Economic Evidence for Liquid- and Tissue-based Molecular Tests that Inform Decisions on Prostate Biopsies and Treatment of Localised Prostate Cancer: A Systematic Review.

Authors:  Koen Degeling; Amanda Pereira-Salgado; Niall M Corcoran; Paul C Boutros; Peter Kuhn; Maarten J IJzerman
Journal:  Eur Urol Open Sci       Date:  2021-03-26
  6 in total

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