Literature DB >> 25854335

Biomarkers for evaluation of prostate cancer prognosis.

Maryam Esfahani1, Negar Ataei, Mojtaba Panjehpour.   

Abstract

Prostate cancer, with a lifetime prevalence of one in six men, is the second cause of malignancy-related death and the most prevalent cancer in men in many countries. Nowadays, prostate cancer diagnosis is often based on the use of biomarkers, especially prostate-specific antigen (PSA) which can result in enhanced detection at earlier stage and decreasing in the number of metastatic patients. However, because of the low specificity of PSA, unnecessary biopsies and mistaken diagnoses frequently occur. Prostate cancer has various features so prognosis following diagnosis is greatly variable. There is a requirement for new prognostic biomarkers, particularly to differentiate between inactive and aggressive forms of disease, to improve clinical management of prostate cancer. Research continues into finding additional markers that may allow this goal to be attained. We here selected a group of candidate biomarkers including PSA, PSA velocity, percentage free PSA, TGFβ1, AMACR, chromogranin A, IL-6, IGFBPs, PSCA, biomarkers related to cell cycle regulation, apoptosis, PTEN, androgen receptor, cellular adhesion and angiogenesis, and also prognostic biomarkers with Genomic tests for discussion. This provides an outline of biomarkers that are presently of prognostic interest in prostate cancer investigation.

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Year:  2015        PMID: 25854335     DOI: 10.7314/apjcp.2015.16.7.2601

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  22 in total

1.  High expression of ASPM correlates with tumor progression and predicts poor outcome in patients with prostate cancer.

Authors:  Jian-Jiang Xie; Yang-Jia Zhuo; Yu Zheng; Ru-Jun Mo; Ze-Zhen Liu; Bo-Wei Li; Zhi-Duan Cai; Xue-Jin Zhu; Yu-Xiang Liang; Hui-Chan He; Wei-de Zhong
Journal:  Int Urol Nephrol       Date:  2017-02-17       Impact factor: 2.370

2.  miR-301a expression: A prognostic marker for prostate cancer.

Authors:  Chendil Damodaran; Trinath P Das; A M Sashi Papu John; Suman Suman; Venkatesh Kolluru; Targhee J Morris; Erin N Faber; Shesh N Rai; Jamie C Messer; Houda Alatassi; Murali K Ankem
Journal:  Urol Oncol       Date:  2016-04-26       Impact factor: 3.498

3.  RK-33 Radiosensitizes Prostate Cancer Cells by Blocking the RNA Helicase DDX3.

Authors:  Min Xie; Farhad Vesuna; Saritha Tantravedi; Guus M Bol; Marise R Heerma van Voss; Katriana Nugent; Reem Malek; Kathleen Gabrielson; Paul J van Diest; Phuoc T Tran; Venu Raman
Journal:  Cancer Res       Date:  2016-09-12       Impact factor: 12.701

4.  Aberrant Protocadherin17 (PCDH17) Methylation in Serum is a Potential Predictor for Recurrence of Early-Stage Prostate Cancer Patients After Radical Prostatectomy.

Authors:  Ying-Li Lin; Qiu-Kui Deng; Yu-Hao Wang; Xing-Li Fu; Jian-Guo Ma; Wen-Ping Li
Journal:  Med Sci Monit       Date:  2015-12-19

5.  Expression of miR-451a in Prostate Cancer and Its Effect on Prognosis.

Authors:  Bo Fan; Xiaohua Jin; Qi Ding; Cheng Cao; Yi Shi; Hailiang Zhu; Wenjun Zhou
Journal:  Iran J Public Health       Date:  2021-04       Impact factor: 1.429

6.  Polymorphisms of homologous recombination RAD51, RAD51B, XRCC2, and XRCC3 genes and the risk of prostate cancer.

Authors:  Maria Nowacka-Zawisza; Ewelina Wiśnik; Andrzej Wasilewski; Milena Skowrońska; Ewa Forma; Magdalena Bryś; Waldemar Różański; Wanda M Krajewska
Journal:  Anal Cell Pathol (Amst)       Date:  2015-08-03       Impact factor: 2.916

7.  APPL proteins promote TGFβ-induced nuclear transport of the TGFβ type I receptor intracellular domain.

Authors:  Jie Song; Yabing Mu; Chunyan Li; Anders Bergh; Marta Miaczynska; Carl-Henrik Heldin; Marene Landström
Journal:  Oncotarget       Date:  2016-01-05

8.  Selection and characterization of DNA aptamer for metastatic prostate cancer recognition and tissue imaging.

Authors:  Minlan Duan; Yuqian Long; Cai Yang; Xiaoqiu Wu; Yang Sun; Jianglin Li; Xiaoxiao Hu; Wei Lin; Dongmei Han; Yifan Zhao; Jing Liu; Mao Ye; Weihong Tan
Journal:  Oncotarget       Date:  2016-06-14

9.  Anti-proliferative and pro-apoptotic effects of GHRH antagonists in prostate cancer.

Authors:  Laura Muñoz-Moreno; Maria Isabel Arenas; María J Carmena; Andrew V Schally; Manuel Sánchez-Chapado; Juan C Prieto; Ana M Bajo
Journal:  Oncotarget       Date:  2016-08-09

10.  Increased KIF4A expression is a potential prognostic factor in prostate cancer.

Authors:  Hongwei Gao; Xuanrong Chen; Qiliang Cai; Zhiqun Shang; Yuanjie Niu
Journal:  Oncol Lett       Date:  2018-03-22       Impact factor: 2.967

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