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Prostate Cancer
Volume 2012 (2012), Article ID 640968, 9 pages
http://dx.doi.org/10.1155/2012/640968
Review Article

Current Challenges in Development of Differentially Expressed and Prognostic Prostate Cancer Biomarkers

1Department of Urology, Barbara Ann Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI 48201, USA
2Department of Oncology, Barbara Ann Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI 48201, USA

Received 13 March 2012; Accepted 13 July 2012

Academic Editor: William Grizzle

Copyright © 2012 Steven M. Lucas and Elisabeth I. Heath. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Siegel, E. Ward, O. Brawley, and A. Jemal, “Cancer statistics, 2011: the impact of eliminating socioeconomic and racial disparities on premature cancer deaths,” CA Cancer Journal for Clinicians, vol. 61, no. 4, pp. 212–236, 2011. View at Publisher · View at Google Scholar
  2. A. Jemal, F. Bray, M. M. Center, J. Ferlay, E. Ward, and D. Forman, “Global cancer statistics,” CA Cancer Journal for Clinicians, vol. 61, no. 2, pp. 69–90, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. Y. H. Shao, K. Demissie, W. Shih et al., “Contemporary risk profile of prostate cancer in the United States,” Journal of the National Cancer Institute, vol. 101, no. 18, pp. 1280–1283, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. K. McDavid, J. Lee, J. P. Fulton, J. Tonita, and T. D. Thompson, “Prostate cancer incidence and mortality rates and trends in the United States and Canada,” Public Health Reports, vol. 119, no. 2, pp. 174–186, 2004. View at Scopus
  5. G. L. Andriole, E. D. Crawford, R. L. Grubb 3rd et al., “Mortality results from a randomized prostate-cancer screening trial,” New England Journal of Medicine, vol. 360, no. 13, pp. 1310–1319, 2009. View at Publisher · View at Google Scholar
  6. F. H. Schröder, J. Hugosson, M. J. Roobol et al., “Screening and prostate-cancer mortality in a randomized european study,” New England Journal of Medicine, vol. 360, no. 13, pp. 1320–1328, 2009. View at Publisher · View at Google Scholar
  7. J. I. Epstein, Z. Feng, B. J. Trock, and P. M. Pierorazio, “Upgrading and downgrading of prostate cancer from biopsy to radical prostatectomy: incidence and predictive factors using the modified Gleason grading system and factoring in tertiary grades,” European Journal of Urology, vol. 61, no. 5, pp. 1019–1024, 2012.
  8. A. J. Stephenson, P. T. Scardino, J. A. Eastham et al., “Preoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy,” Journal of the National Cancer Institute, vol. 98, no. 10, pp. 715–717, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. M. R. Cooperberg, D. J. Pasta, E. P. Elkin et al., “The University of California, San Francisco Cancer of the Prostate Risk Assessment score: a straightforward and reliable preoperative predictor of disease recurrence after radical prostatectomy,” Journal of Urology, vol. 173, no. 6, pp. 1938–1942, 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. A. J. Stephenson, P. T. Scardino, M. W. Kattan et al., “Predicting the outcome of salvage radiation therapy for recurrent prostate cancer after radical prostatectomy,” Journal of Clinical Oncology, vol. 25, no. 15, pp. 2035–2041, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. T. L. Lotan, B. Gurel, S. Sutcliffe et al., “PTEN protein loss by immunostaining: analytic validation and prognostic indicator for a high risk surgical cohort of prostate cancer patients,” Clinical Cancer Research, vol. 17, no. 20, pp. 6563–6573, 2011. View at Publisher · View at Google Scholar
  12. S. Jhavar, D. Brewer, S. Edwards et al., “Integration of ERG gene mapping and gene-expression profiling identifies distinct categories of human prostate cancer,” British Journal of Urology International, vol. 103, no. 9, pp. 1256–1269, 2009. View at Publisher · View at Google Scholar
  13. S. Jhavar, D. Brewer, S. Edwards et al., “Integration of ERG gene mapping and gene-expression profiling identifies distinct categories of human prostate cancer,” British Journal of Urology International, vol. 103, no. 9, pp. 1256–1269, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. C. M. Koh, C. J. Bieberich, C. V. Dang, W. G. Nelson, S. Yegnasubramanian, and A. M. De Marzo, “MYC and prostate cancer,” Genes and Cancer, vol. 1, no. 6, pp. 617–628, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. C. Schroten, N. F. Dits, E. W. Steyerberg et al., “The additional value of TGFβ1 and IL-7 to predict the course of prostate cancer progression,” Cancer Immunology, Immunotherapy, vol. 61, no. 6, pp. 905–910, 2012. View at Publisher · View at Google Scholar
  16. E. V. Vykhovanets, S. Shukla, G. T. MacLennan et al., “Molecular imaging of NF-kappaB in prostate tissue after systemic administration of IL-1β,” Prostate, vol. 68, no. 1, pp. 34–41, 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Azevedo, V. Cunha, and A. L. Teixeira, “IL-6/IL-6R as a potential key signaling pathway in prostate cancer development,” World Journal of Clinical Oncology, vol. 2, no. 12, pp. 384–396, 2011.
  18. T. Sun, G. S. M. Lee, W. K. Oh et al., “Inherited variants in the chemokine CCL2 gene and prostate cancer aggressiveness in a caucasian cohort,” Clinical Cancer Research, vol. 17, no. 6, pp. 1546–1552, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. A. J. Liu, B. Furusato, L. Ravindranath et al., “Quantitative analysis of a panel of gene expression in prostate cancer—with emphasis on NPY expression analysis,” Journal of Zhejiang University. Science. B, vol. 8, no. 12, pp. 853–859, 2007. View at Publisher · View at Google Scholar · View at Scopus
  20. Z. Ding, C. J. Wu, G. C. Chu et al., “SMAD4-dependent barrier constrains prostate cancer growth and metastatic progression,” Nature, vol. 470, no. 7333, pp. 269–276, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. S. H. Madani, S. Ameli, S. Khazaei, M. Kanani, and B. Izadi, “Frequency of Ki-67 (MIB-1) and P53 expressions among patients with prostate cancer,” Indian Journal of Pathology and Microbiology, vol. 54, no. 4, pp. 688–691, 2011. View at Publisher · View at Google Scholar
  22. B. Verdoodt, F. Sommerer, R.-J. Palisaar et al., “Inverse association of p16INK4a and p14arf methylation of the CDKN2a locus in different Gleason scores of prostate cancer,” Prostate Cancer and Prostatic Diseases, vol. 14, no. 4, pp. 295–301, 2011. View at Publisher · View at Google Scholar
  23. S. Aaltomaa, P. Lipponen, M. Eskelinen, M. Ala-Opas, and V. M. Kosma, “Prognostic value and expression of p21(wafl/cip I) protein in prostate cancer,” Prostate, vol. 39, no. 1, pp. 8–15, 1999.
  24. J. J. Bauer, I. A. Sesterhenn, F. K. Mostofi, D. G. Mcleod, S. Srivastava, and J. W. Moul, “Elevated levels of apoptosis regulator proteins p53 and bcl-2 are independent prognostic biomarkers in surgically treated clinically localized prostate cancer,” Journal of Urology, vol. 156, no. 4, pp. 1511–1516, 1996. View at Scopus
  25. D. S. Scherr, E. D. Vaughan, J. Wei et al., “bcl-2 and p53 expression in clinically localized prostate cancer predicts response to external beam radiotherapy,” Journal of Urology, vol. 162, no. 1, pp. 12–17, 1999. View at Publisher · View at Google Scholar · View at Scopus
  26. L. Y. Khor, J. Moughan, T. Al-Saleem et al., “Bcl-2 and bax expression predict prostate cancer outcome in men treated with androgen deprivation and radiotherapy on radiation therapy oncology group protocol 92-02,” Clinical Cancer Research, vol. 13, no. 12, pp. 3585–3590, 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. M. Peyromaure, C. Badoual, P. Camparo et al., “Plasma levels and expression of vascular endothelial growth factor-A in human localized prostate cancer,” Oncology Reports, vol. 18, no. 1, pp. 145–149, 2007. View at Scopus
  28. R. Mori, T. B. Dorff, S. Xiong et al., “The relationship between proangiogenic gene expression levels in prostate cancer and their prognostic value for clinical outcomes,” Prostate, vol. 70, no. 15, pp. 1692–1700, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. A. Drivalos, A. G. Papatsoris, M. Chrisofos, E. Efstathiou, and M. A. Dimopoulos, “The role of the cell adhesion molecules (integrins/cadherins) in prostate cancer,” International Brazilian Journal of Urology, vol. 37, no. 3, pp. 302–306, 2011. View at Publisher · View at Google Scholar
  30. Y. J. Shin and J.-H. Kim, “The role of EZH2 in the regulation of the activity of matrix metalloproteinases in prostate cancer cells,” PLoS ONE, vol. 7, no. 1, Article ID e30393, 2012. View at Publisher · View at Google Scholar
  31. J. Li, Q. H. Fan, X. S. Fan, W. Zhou, Y. Qiu, and L. Qiu, “EZH2 expression in human prostate cancer and its clinicopathologic significance,” National Journal of Andrology, vol. 16, no. 2, pp. 123–128, 2010. View at Scopus
  32. M. Anees, P. Horak, A. El-Gazzar et al., “Recurrence-free survival in prostate cancer is related to increased stromal TRAIL expression,” Cancer, vol. 117, no. 6, pp. 1172–1182, 2011. View at Publisher · View at Google Scholar · View at Scopus
  33. P. Vainio, L. Lehtinen, T. Mirtti et al., “Phospholipase PLA2G7, associated with aggressive prostate cancer, promotes prostate cancer cell migration and invasion and is inhibited by statins,” Oncotarget, vol. 2, no. 12, pp. 1176–1190, 2011.
  34. P. Vainio, S. Gupta, K. Ketola et al., “Arachidonic acid pathway members PLA2G7, HPGD, EPHX2, and CYP4F8 identified as putative novel therapeutic targets in prostate cancer,” American Journal of Pathology, vol. 178, no. 2, pp. 525–536, 2011. View at Publisher · View at Google Scholar · View at Scopus
  35. I. A. Voutsadakis, P. J. Vlachostergios, D. D. Daliani et al., “CD10 is inversely associated with nuclear factor-kappa B and predicts biochemical recurrence after radical prostatectomy,” Urologia Internationalis, vol. 88, no. 2, pp. 158–164, 2012. View at Publisher · View at Google Scholar
  36. G. C. Blobe, W. P. Schiemann, and H. F. Lodish, “Role of transforming growth factor β in human disease,” New England Journal of Medicine, vol. 342, no. 18, pp. 1350–1358, 2000. View at Publisher · View at Google Scholar · View at Scopus
  37. E. Di Carlo, T. D'Antuono, P. Pompa et al., “The lack of epithelial interleukin-7 and BAFF/BLyS gene expression in prostate cancer as a possible mechanism of tumor escape from immunosurveillance,” Clinical Cancer Research, vol. 15, no. 9, pp. 2979–2987, 2009. View at Publisher · View at Google Scholar · View at Scopus
  38. J. C. Cheville, R. J. Karnes, T. M. Therneau et al., “Gene panel model predictive of outcome in men at high-risk of systemic progression and death from prostate cancer after radical retropubic prostatectomy,” Journal of Clinical Oncology, vol. 26, no. 24, pp. 3930–3936, 2008. View at Publisher · View at Google Scholar · View at Scopus
  39. M. Bibikova, E. Chudin, A. Arsanjani et al., “Expression signatures that correlated with Gleason score and relapse in prostate cancer,” Genomics, vol. 89, no. 6, pp. 666–672, 2007. View at Publisher · View at Google Scholar · View at Scopus
  40. E. K. Markert, H. Mizuno, A. Vazquez, and A. J. Levine, “Molecular classification of prostate cancer using curated expression signatures,” Proceedings of the National Academy of Sciences of the United States of America, vol. 108, no. 52, pp. 21276–21281, 2011. View at Publisher · View at Google Scholar
  41. G. A. Calin, C. D. Dumitru, M. Shimizu et al., “Frequent deletions and down-regulation of micro-RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia,” Proceedings of the National Academy of Sciences of the United States of America, vol. 99, no. 24, pp. 15524–15529, 2002. View at Publisher · View at Google Scholar · View at Scopus
  42. C. L. Bartels and G. J. Tsongalis, “Mini-reviews micrornas:novel biomarkers for human cancer,” Clinical Chemistry, vol. 55, no. 4, pp. 623–631, 2009. View at Publisher · View at Google Scholar
  43. A. Gordanpour, R. K. Nam, and L. Sugar, “MicroRNAs in prostate cancer: from biomarkers to molecularly-based therapeutics,” Prostate Cancer and Prostatic Diseases. In press.
  44. Y. Xi, G. Nakajima, E. Gavin et al., “Systematic analysis of microRNA expression of RNA extracted from fresh frozen and formalin-fixed paraffin-embedded samples,” RNA, vol. 13, no. 10, pp. 1668–1674, 2007. View at Publisher · View at Google Scholar · View at Scopus
  45. M. D. Mattie, C. C. Benz, J. Bowers et al., “Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies,” Molecular Cancer, vol. 5, article 24, 2006. View at Publisher · View at Google Scholar · View at Scopus
  46. L. Nonn, A. Vaishnav, L. Gallagher, and P. H. Gann, “mRNA and micro-RNA expression analysis in laser-capture microdissected prostate biopsies: valuable tool for risk assessment and prevention trials,” Experimental and Molecular Pathology, vol. 88, no. 1, pp. 45–51, 2010. View at Publisher · View at Google Scholar · View at Scopus
  47. K. R. Leite, A. Tomiyama, and S. T. Reis, “MicroRNA expression profiles in the progression of prostate cancer-from high-grade prostate intraepithelial neoplasia to metastasis,” Urologic Oncology. In press.
  48. D. Bonci, V. Coppola, M. Musumeci et al., “The miR-15a-miR-16-1 cluster controls prostate cancer by targeting multiple oncogenic activities,” Nature Medicine, vol. 14, no. 11, pp. 1271–1277, 2008. View at Publisher · View at Google Scholar · View at Scopus
  49. M. Musumeci, V. Coppola, A. Addario et al., “Control of tumor and microenvironment cross-talk by miR-15a and miR-16 in prostate cancer,” Oncogene, vol. 30, no. 41, pp. 4231–4242, 2011. View at Publisher · View at Google Scholar · View at Scopus
  50. T. Li, D. Li, J. Sha, P. Sun, and Y. Huang, “MicroRNA-21 directly targets MARCKS and promotes apoptosis resistance and invasion in prostate cancer cells,” Biochemical and Biophysical Research Communications, vol. 383, no. 3, pp. 280–285, 2009. View at Publisher · View at Google Scholar · View at Scopus
  51. T. Li, R.-S. Li, Y.-H. Li et al., “MiR-21 as an independent biochemical recurrence predictor and potential therapeutic target for prostate cancer,” Journal of Urology, vol. 187, no. 4, pp. 1466–1472, 2012. View at Publisher · View at Google Scholar
  52. S. Volinia, G. A. Calin, C.-G. Liu et al., “A microRNA expression signature of human solid tumors defines cancer gene targets,” Proceedings of the National Academy of Sciences of the United States of America, vol. 103, no. 7, pp. 2257–2261, 2006. View at Publisher · View at Google Scholar
  53. K. P. Porkka, M. J. Pfeiffer, K. K. Waltering, R. L. Vessella, T. L. J. Tammela, and T. Visakorpi, “MicroRNA expression profiling in prostate cancer,” Cancer Research, vol. 67, no. 13, pp. 6130–6135, 2007. View at Publisher · View at Google Scholar · View at Scopus
  54. S. Ambs, R. L. Prueitt, M. Yi et al., “Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer,” Cancer Research, vol. 68, no. 15, pp. 6162–6170, 2008. View at Publisher · View at Google Scholar · View at Scopus
  55. A. Schaefer, M. Jung, H. J. Mollenkopf et al., “Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma,” International Journal of Cancer, vol. 126, no. 5, pp. 1166–1176, 2010. View at Publisher · View at Google Scholar · View at Scopus
  56. O. W. Rokhlin, V. S. Scheinker, A. F. Taghiyev, D. Bumcrot, R. A. Glover, and M. B. Cohen, “MicroRNA-34 mediates AR-dependent p53-induced apoptosis in prostate cancer,” Cancer Biology and Therapy, vol. 7, no. 8, pp. 1288–1296, 2008. View at Scopus
  57. C. Liu, K. Kelnar, B. Liu et al., “The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44,” Nature Medicine, vol. 17, no. 2, pp. 211–216, 2011. View at Publisher · View at Google Scholar · View at Scopus
  58. K. R. M. Leite, A. Tomiyama, S. T. Reis et al., “MicroRNA-100 expression is independently related to biochemical recurrence of prostate cancer,” Journal of Urology, vol. 185, no. 3, pp. 1118–1122, 2011. View at Publisher · View at Google Scholar · View at Scopus
  59. A. W. Tong, P. Fulgham, C. Jay et al., “MicroRNA profile analysis of human prostate cancers,” Cancer Gene Therapy, vol. 16, no. 3, pp. 206–216, 2009. View at Publisher · View at Google Scholar · View at Scopus
  60. J. Shen, G. W. Hruby, J. M. McKiernan, et al., “Dysregulation of circulating microRNAs and prediction of aggressive prostate cancer,” Prostate, vol. 72, no. 13, pp. 1469–1477, 2012.
  61. M. Sachdeva, S. Zhu, F. Wu et al., “p53 represses c-Myc through induction of the tumor suppressor miR-145,” Proceedings of the National Academy of Sciences of the United States of America, vol. 106, no. 9, pp. 3207–3212, 2009. View at Publisher · View at Google Scholar
  62. L. Wang, H. Tang, V. Thayanithy et al., “Gene networks and microRNAs implicated in aggressive prostate cancer,” Cancer Research, vol. 69, no. 24, pp. 9490–9497, 2009. View at Publisher · View at Google Scholar · View at Scopus
  63. W. Gao, H. Shen, L. Liu, J. Xu, J. Xu, and Y. Shu, “MiR-21 overexpression in human primary squamous cell lung carcinoma is associated with poor patient prognosis,” Journal of Cancer Research and Clinical Oncology, vol. 137, no. 4, pp. 557–566, 2011. View at Publisher · View at Google Scholar · View at Scopus
  64. M. V. Iorio, M. Ferracin, C. G. Liu et al., “MicroRNA gene expression deregulation in human breast cancer,” Cancer Research, vol. 65, no. 16, pp. 7065–7070, 2005. View at Publisher · View at Google Scholar · View at Scopus
  65. T. Schepeler, J. T. Reinert, M. S. Ostenfeld et al., “Diagnostic and prognostic microRNAs in stage II colon cancer,” Cancer Research, vol. 68, no. 15, pp. 6416–6424, 2008. View at Publisher · View at Google Scholar · View at Scopus
  66. O. Slaby, M. Svoboda, P. Fabian et al., “Altered expression of miR-21, miR-31, miR-143 and miR-145 is related to clinicopathologic features of colorectal cancer,” Oncology, vol. 72, no. 5-6, pp. 397–402, 2008. View at Publisher · View at Google Scholar · View at Scopus
  67. X. Chen, J. Gong, H. Zeng et al., “MicroRNA145 targets BNIP3 and suppresses prostate cancer progression,” Cancer Research, vol. 70, no. 7, pp. 2728–2738, 2010. View at Publisher · View at Google Scholar · View at Scopus
  68. J. M. Franco-Zorrilla, A. Valli, M. Todesco et al., “Target mimicry provides a new mechanism for regulation of microRNA activity,” Nature Genetics, vol. 39, no. 8, pp. 1033–1037, 2007. View at Publisher · View at Google Scholar · View at Scopus
  69. S. Debernardi, S. Skoulakis, G. Molloy, T. Chaplin, A. Dixon-McIver, and B. D. Young, “MicroRNA miR-181a correlates with morphological sub-class of acute myeloid leukaemia and the expression of its target genes in global genome-wide analysis,” Leukemia, vol. 21, no. 5, pp. 912–916, 2007. View at Publisher · View at Google Scholar · View at Scopus
  70. T. C. Chang, E. A. Wentzel, O. A. Kent et al., “Transactivation of miR-34a by p53 BroadlyInfluences Gene Expression andPromotesApoptosis,” Molecular Cell, vol. 26, no. 5, pp. 745–752, 2007. View at Publisher · View at Google Scholar · View at Scopus
  71. D. Kong, Y. Li, E. Heath, S. Sethi, W. Chen, and F. H. Sarkar, “Epigenetic silencing of miR-34a in human prostate cancer cells and tumor tissue specimens can be reversed by BR-DIM treatment,” American Journal of Translational Research, vol. 4, no. 1, pp. 14–23, 2012.
  72. S. Varambally, Q. Cao, R. S. Mani et al., “Genomic loss of microRNA-101 leads to overexpression of histone methyltransferase EZH2 in cancer,” Science, vol. 322, no. 5908, pp. 1695–1699, 2008. View at Publisher · View at Google Scholar · View at Scopus
  73. L. A. Boyer, K. Plath, J. Zeitlinger et al., “Polycomb complexes repress developmental regulators in murine embryonic stem cells,” Nature, vol. 441, no. 7091, pp. 349–353, 2006. View at Publisher · View at Google Scholar · View at Scopus
  74. E. Bandrés, E. Cubedo, X. Agirre et al., “Identification by Real-time PCR of 13 mature microRNAs differentially expressed in colorectal cancer and non-tumoral tissues,” Molecular Cancer, vol. 5, article 29, 2006. View at Publisher · View at Google Scholar · View at Scopus
  75. I. Koturbash, A. Boyko, R. Rodriguez-Juarez et al., “Role of epigenetic effectors in maintenance of the long-term persistent bystander effect in spleen in vivo,” Carcinogenesis, vol. 28, no. 8, pp. 1831–1838, 2007. View at Publisher · View at Google Scholar · View at Scopus
  76. V. Coppola, R. De Maria, and D. Bonci, “MicroRNAs and prostate cancer,” Endocrine-Related Cancer, vol. 17, no. 1, pp. F1–F17, 2010. View at Publisher · View at Google Scholar · View at Scopus
  77. S. Michiels, S. Koscielny, and C. Hill, “Prediction of cancer outcome with microarrays: a multiple random validation strategy,” Lancet, vol. 365, no. 9458, pp. 488–492, 2005. View at Publisher · View at Google Scholar · View at Scopus
  78. M. Zhang, L. Zhang, J. Zou et al., “Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes,” Bioinformatics, vol. 25, no. 13, pp. 1662–1668, 2009. View at Publisher · View at Google Scholar · View at Scopus
  79. D. Soh, D. Dong, and Y. Guo, “Finding consistent disease subnetworks across microarray datasets,” BMC Bioinformatics, vol. 12, article S15, supplement 13, 2011.
  80. R. Arora, M. O. Koch, J. N. Eble, T. M. Ulbright, L. Li, and L. Cheng, “Heterogeneity of Gleason grade in multifocal adenocarcinoma of the prostate,” Cancer, vol. 100, no. 11, pp. 2362–2366, 2004. View at Publisher · View at Google Scholar · View at Scopus
  81. L. K. Boyd, X. Mao, L. Xue et al., “High-resolution genome-wide copy-number analysis suggests a monoclonal origin of multifocal prostate cancer,” Genes Chromosomes and Cancer, vol. 51, no. 6, pp. 579–589, 2012. View at Publisher · View at Google Scholar
  82. K. D. Sørensen and T. F. Ørntoft, “Discovery of prostate cancer biomarkers by microarray gene expression profiling,” Expert Review of Molecular Diagnostics, vol. 10, no. 1, pp. 49–64, 2010. View at Publisher · View at Google Scholar
  83. Z. H. Chen, G. L. Zhang, and H. R. Li, “A panel of five circulating microRNAs as potential biomarkers for prostate cancer,” Prostate, vol. 72, no. 13, pp. 1443–1452, 2012.
  84. X. Durand, E. Xylinas, C. Radulescu et al., “The value of urinary prostate cancer gene 3 (PCA3) scores in predicting pathological features at radical prostatectomy,” British Journal of Urology International, vol. 110, no. 1, pp. 43–49, 2012. View at Publisher · View at Google Scholar