Discovery of prostate cancer biomarkers by microarray gene expression profiling
- PMID: 20014922
- DOI: 10.1586/erm.09.74
Discovery of prostate cancer biomarkers by microarray gene expression profiling
Abstract
Prostate cancer is the most commonly diagnosed malignancy in males in the Western world. This review focuses on advances in biomarker discovery for prostate cancer by microarray profiling of mRNA and microRNA expression. Novel biomarkers are strongly needed to enable more accurate detection of prostate cancer, improve prediction of tumor aggressiveness and facilitate discovery of new therapeutic targets for tailored medicine. Promising molecular markers identified from gene expression profiling studies include AMACR, EZH2, TMPRSS2-ERG, miR-221 and miR-141, which are described in more detail. In addition, a compilation of prognostic gene expression signatures for prediction of prostate cancer patient outcome is provided, and their possible clinical utility is discussed. Furthermore, limitations in the application of microarray-based expression profiling for identification of prostate cancer biomarkers are addressed.
Similar articles
-
Cancer gene profiling in prostate cancer.Methods Mol Biol. 2010;576:293-326. doi: 10.1007/978-1-59745-545-9_15. Methods Mol Biol. 2010. PMID: 19882268
-
Prostate cancer and the genomic revolution: Advances using microarray analyses.Mutat Res. 2005 Aug 25;576(1-2):66-79. doi: 10.1016/j.mrfmmm.2004.08.019. Mutat Res. 2005. PMID: 15950992 Review.
-
Discovery and clinical application of a novel prostate cancer marker: alpha-methylacyl CoA racemase (P504S).Am J Clin Pathol. 2004 Aug;122(2):275-89. doi: 10.1309/EJUY-UQPE-X1MG-68MK. Am J Clin Pathol. 2004. PMID: 15323145 Review.
-
The role of tissue microarrays in prostate cancer biomarker discovery.Adv Anat Pathol. 2007 Nov;14(6):408-18. doi: 10.1097/PAP.0b013e318155709a. Adv Anat Pathol. 2007. PMID: 18049130 Review.
-
Alpha-methylacyl-CoA racemase: a new molecular marker for prostate cancer.Cancer Res. 2002 Apr 15;62(8):2220-6. Cancer Res. 2002. PMID: 11956072
Cited by
-
UVB suppresses PTEN expression by upregulating miR-141 in HaCaT cells.J Biomed Res. 2011 Mar;25(2):135-40. doi: 10.1016/S1674-8301(11)60017-1. J Biomed Res. 2011. PMID: 23554681 Free PMC article.
-
Multiscale integration of -omic, imaging, and clinical data in biomedical informatics.IEEE Rev Biomed Eng. 2012;5:74-87. doi: 10.1109/RBME.2012.2212427. IEEE Rev Biomed Eng. 2012. PMID: 23231990 Free PMC article. Review.
-
DNA methylation status is more reliable than gene expression at detecting cancer in prostate biopsy.Br J Cancer. 2014 Aug 12;111(4):781-9. doi: 10.1038/bjc.2014.337. Epub 2014 Jun 17. Br J Cancer. 2014. PMID: 24937670 Free PMC article.
-
Identifications of genetic differences between metastatic and non-metastatic osteosarcoma samples based on bioinformatics analysis.Med Oncol. 2015 May;32(5):153. doi: 10.1007/s12032-015-0604-0. Epub 2015 Apr 2. Med Oncol. 2015. PMID: 25832865
-
Genomic "Dark Matter" in Prostate Cancer: Exploring the Clinical Utility of ncRNA as Biomarkers.Front Genet. 2012 Feb 22;3:23. doi: 10.3389/fgene.2012.00023. eCollection 2012. Front Genet. 2012. PMID: 22371711 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical