
Identification of Biomarkers for Prostate Cancer
Author(s) -
Anna Meiliana,
Andi Wijaya
Publication year - 2014
Publication title -
the indonesian biomedical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.16
H-Index - 4
eISSN - 2355-9179
pISSN - 2085-3297
DOI - 10.18585/inabj.v6i3.26
Subject(s) - prostate cancer , nomogram , medicine , cancer , oncology , biomarker discovery , prostate , bioinformatics , computational biology , proteomics , biology , gene , biochemistry
BACKGROUND: Prostate cancer (PCa) was the second most common type of cancer and the fifth leading cause of cancer-related death in men. The great challenge for physicians is being able to accurately predict PCa prognosis and treatment response in order to reduce PCa-specific mortality while avoiding overtreatment by identifying of when to intervene, and in which patients.CONTENT: Currently, PCa prognosis and treatment decision of PCa involved digital rectal examination, Prostate-Speciic Antigens (PSA), and subsequent biopsies for histopathological staging, known as Gleason score. However, each procedure has its shortcomings. Efforts to find a better clinically meaningful and non-invasive biomarkers still developed involving proteins, circulating tumor cells, nucleic acids, and the ‘omics' approaches.SUMMARY: Biomarkers for PCa will most likely be an assay employing multiple biomarkers in combination using protein and gene microarrays, containing markers that are differentially expressed in PCa.KEYWORDS: prostate cancer, PSA, biomarkers, nomograms, miRNA, proteomic, genomic, metabolomic