Biomarkers for evaluation of prostate cancer prognosis

(2015) Biomarkers for evaluation of prostate cancer prognosis. Asian Pacific journal of cancer prevention : APJCP. pp. 2601-11. ISSN 2476-762X (Electronic) 1513-7368 (Linking)

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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, TGFbeta1, 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.

Item Type: Article
Keywords: Apoptosis/physiology Biomarkers, Tumor/*blood/*metabolism Cell Adhesion/physiology Humans Male Neovascularization, Pathologic/pathology Prognosis Prostate/*pathology Prostate-Specific Antigen/*blood Prostatic Neoplasms/diagnosis/mortality/*pathology
Page Range: pp. 2601-11
Journal or Publication Title: Asian Pacific journal of cancer prevention : APJCP
Journal Index: Pubmed
Volume: 16
Number: 7
ISSN: 2476-762X (Electronic) 1513-7368 (Linking)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mui.ac.ir/id/eprint/5823

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