Literature DB >> 29555025

Genetic markers a landscape in prostate cancer.

J M Cozar1, I Robles-Fernandez2, L J Martinez-Gonzalez3, M Pascual-Geler4, Alba Rodriguez-Martinez5, M J Serrano6, J A Lorente7, M J Alvarez-Cubero8.   

Abstract

Prostate cancer (PC) is one of the most common cancers worldwide. The observed variability in progression and responses to the same treatment between patients underlie the genetic heterogeneity of the disease. Nowadays, screening and follow-up biomarkers in PC are still having a deep lack of information, which makes difficult the cancer diagnosis, prognosis and the selection of the most suitable therapies. This is making that currently unnecessary biopsies, over-treatments and hormonoresistances have high rates of prevalence among patients. New biomarkers are urgently needed and in this sense genomic biomarkers could be the most suitable tools. These genetic markers will be helpful for improving the precision of prognostic and the predictive current tools which are employed in the clinical practice. A recent literature search up was conducted, including clinical trials and pre-clinical basic research studies. Keywords included germline variants, prostate cancer, biomarkers, androgen deprivation therapy, screening and liquid biopsy; among others. We have reviewed how germline variants, CNVs and repetitive regions are relevant to prostate carcinogenesis, treatment and progression. Moreover, we have also considered novel biomarkers for PC prognosis based on differentially expressed genes. Finally, we have included new strategies in recent markers of liquid biopsy or updated technologies for minimal samples analysis. The improvement of genetic markers use and their application to the clinical practice, will enhance the variability of simple, non-invasive, tools such as liquid biopsy and germline variants, these will reduce the number of PC needle biopsies and current over-treatments that are usual in the management of this cancer.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Androgen deprivation therapy; Biomarker; CRPC; Germline variants; Prostate cancer; SNP; Screening

Mesh:

Substances:

Year:  2017        PMID: 29555025     DOI: 10.1016/j.mrrev.2017.11.004

Source DB:  PubMed          Journal:  Mutat Res Rev Mutat Res        ISSN: 1383-5742            Impact factor:   5.657


  4 in total

1.  High Expression of KIF22/Kinesin-Like DNA Binding Protein (Kid) as a Poor Prognostic Factor in Prostate Cancer Patients.

Authors:  Zheng Zhang; Hui Xie; Shimiao Zhu; Xuanrong Chen; Jianpeng Yu; Tianyun Shen; Xiaoqing Li; Zhiqun Shang; Yuanjie Niu
Journal:  Med Sci Monit       Date:  2018-11-14

2.  Data analysis algorithm for the development of extracellular miRNA-based diagnostic systems for prostate cancer.

Authors:  O E Bryzgunova; I A Zaporozhchenko; E A Lekchnov; E V Amelina; M Yu Konoshenko; S V Yarmoschuk; O A Pashkovskaya; A A Zheravin; S V Pak; E Yu Rykova; P P Laktionov
Journal:  PLoS One       Date:  2019-04-10       Impact factor: 3.240

3.  Expression of KIF18A Is Associated with Increased Tumor Stage and Cell Proliferation in Prostate Cancer.

Authors:  Hua Zhang; Tianyu Shen; Zheng Zhang; Yang Li; Zhongjie Pan
Journal:  Med Sci Monit       Date:  2019-08-27

Review 4.  The Labyrinth of Product Development and Regulatory Approvals in Liquid Biopsy Diagnostics.

Authors:  Federico M Goodsaid
Journal:  Clin Transl Sci       Date:  2019-07-01       Impact factor: 4.689

  4 in total

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