Differences in microRNA expression during tumor development in the transition and peripheral zones of the prostate

BMC Cancer

Volumn 13, Issue , 2013, Pages

  Carlsson, Jessica ^b,c   Helenius, Gisela ^b,c   Karlsson, Mats G ^b,c   Andrén, Ove ^b,c   Klinga Levan, Karin ^a   Olsson, Björn ^a  

^a UNIVERSITY OF SKÖVDE   (Sweden)

^b ÖREBRO UNIVERSITY HOSPITAL   (Sweden)

^c ÖREBRO UNIVERSITY   (Sweden)

Author keywords

MiRNA expression; Prostate cancer; Prostate zones

Indexed keywords

MICRORNA; MICRORNA 127 3P; MICRORNA 154; MICRORNA 15A; MICRORNA 15B; MICRORNA 181C; MICRORNA 216B; MICRORNA 22; MICRORNA 27B; MICRORNA 337 3P; MICRORNA 379; MICRORNA 424; MICRORNA 433; MICRORNA 494; MICRORNA 495; MICRORNA 543; PHOSPHATIDYLINOSITOL 3,4,5 TRISPHOSPHATE 3 PHOSPHATASE; TRANSFORMING GROWTH FACTOR BETA; UNCLASSIFIED DRUG; TRANSCRIPTOME;

ADULT; AGED; ARTICLE; CANCER GRADING; CELL CYCLE ARREST; CELL CYCLE REGULATION; CENTRAL ZONE; CLINICAL ARTICLE; CONTROLLED STUDY; GENE EXPRESSION; GENE FUNCTION; GENE TARGETING; HUMAN; HUMAN TISSUE; MALE; PATHOGENESIS; PERIPHERAL ZONE; PROSTATE; PROSTATE CANCER; TISSUE DIFFERENTIATION; TRANSITION ZONE; CLUSTER ANALYSIS; GENE EXPRESSION REGULATION; GENETICS; MIDDLE AGED; PATHOLOGY; PROSTATE TUMOR; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; VERY ELDERLY;

AGED; AGED, 80 AND OVER; CLUSTER ANALYSIS; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MALE; MICRORNAS; MIDDLE AGED; PROSTATIC NEOPLASMS; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; TRANSCRIPTOME;

EID: 84880941948     PISSN: None     EISSN: 14712407     Source Type: Journal    
DOI: 10.1186/1471-2407-13-362     Document Type: Article

References (40)

1. Garcia M, Jemal A, Ward EM, Center MM, Hao Y, Siegel RL, Thun MJ. Global Cancer Facts & Figures 2007, Atlanta, GA: American Cancer Society.
2. McNeal JE, Redwine EA, Freiha FS, Stamey TA. Zonal distribution of prostatic adenocarcinoma. Correlation with histologic pattern and direction of spread. Am J Surg Pathol 1988, 12:897-906. 10.1097/00000478-198812000-00001, 3202246.
3. Noguchi M, Stamey TA, Neal JE, Yemoto CE. An analysis of 148 consecutive transition zone cancers: clinical and histological characteristics. J Urol 2000, 163:1751-1755. 10.1016/S0022-5347(05)67535-0, 10799175.
4. Visone R, Pallante P, Vecchione A, Cirombella R, Ferracin M, Ferraro A, Volinia S, Coluzzi S, Leone V, Borbone E, et al. Specific microRNAs are downregulated in human thyroid anaplastic carcinomas. Oncogene 2007, 26:7590-7595. 10.1038/sj.onc.1210564, 17563749.
5. Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, Guo J, Zhang Y, Chen J, Guo X, et al. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res 2008, 18:997-1006. 10.1038/cr.2008.282, 18766170.
6. Gilad S, Meiri E, Yogev Y, Benjamin S, Lebanony D, Yerushalmi N, Benjamin H, Kushnir M, Cholakh H, Melamed N, et al. Serum microRNAs are promising novel biomarkers. PLoS One 2008, 3:e3148. 10.1371/journal.pone.0003148, 2519789, 18773077.
7. Ng EK, Chong WW, Jin H, Lam EK, Shin VY, Yu J, Poon TC, Ng SS, Sung JJ. Differential expression of microRNAs in plasma of patients with colorectal cancer: a potential marker for colorectal cancer screening. Gut 2009, 58:1375-1381. 10.1136/gut.2008.167817, 19201770.
8. Hanke M, Hoefig K, Merz H, Feller AC, Kausch I, Jocham D, Warnecke JM, Sczakiel G. A robust methodology to study urine microRNA as tumor marker: microRNA-126 and microRNA-182 are related to urinary bladder cancer. Urol Oncol 2010, 28:655-661. 10.1016/j.urolonc.2009.01.027, 19375957.
9. Yun SJ, Jeong P, Kim WT, Kim TH, Lee YS, Song PH, Choi YH, Kim IY, Moon SK, Kim WJ. Cell-free microRNAs in urine as diagnostic and prognostic biomarkers of bladder cancer. Int J Oncol 2012, 41:1871-1878.
10. Carlsson J, Davidsson S, Helenius G, Karlsson M, Lubovac Z, Andren O, Olsson B, Klinga-Levan K. A miRNA expression signature that separates between normal and malignant prostate tissues. Cancer Cell Int 2011, 11:14. 10.1186/1475-2867-11-14, 3123620, 21619623.
11. Volinia S, Calin GA, Liu CG, Ambs S, Cimmino A, Petrocca F, Visone R, Iorio M, Roldo C, Ferracin M, et al. A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci USA 2006, 103:2257-2261. 10.1073/pnas.0510565103, 1413718, 16461460.
12. Tong AW, Fulgham P, Jay C, Chen P, Khalil I, Liu S, Senzer N, Eklund AC, Han J, Nemunaitis J. MicroRNA profile analysis of human prostate cancers. Cancer Gene Ther 2009, 16:206-216.
13. Porkka KP, Pfeiffer MJ, Waltering KK, Vessella RL, Tammela TL, Visakorpi T. MicroRNA expression profiling in prostate cancer. Cancer Res 2007, 67:6130-6135. 10.1158/0008-5472.CAN-07-0533, 17616669.
14. Mattie MD, Benz CC, Bowers J, Sensinger K, Wong L, Scott GK, Fedele V, Ginzinger D, Getts R, Haqq C. Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies. Mol Cancer 2006, 5:24. 10.1186/1476-4598-5-24, 1563474, 16784538.
15. Ozen M, Creighton CJ, Ozdemir M, Ittmann M. Widespread deregulation of microRNA expression in human prostate cancer. Oncogene 2008, 27:1788-1793. 10.1038/sj.onc.1210809, 17891175.
16. Ambs S, Prueitt RL, Yi M, Hudson RS, Howe TM, Petrocca F, Wallace TA, Liu CG, Volinia S, Calin GA, et al. Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer. Cancer Res 2008, 68:6162-6170. 10.1158/0008-5472.CAN-08-0144, 2597340, 18676839.
17. Schaefer A, Jung M, Mollenkopf HJ, Wagner I, Stephan C, Jentzmik F, Miller K, Lein M, Kristiansen G, Jung K. Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma. Int J Cancer 2010, 126:1166-1176.
18. McNeal JE. Development and comparative anatomy of the prostate. Benign prostatic hyperplasia 1976, Washington DC: DHEW (NIH).
19. McNeal JE, Leav I, Alroy J, Skutelsky E. Differential lectin staining of central and peripheral zones of the prostate and alterations in dysplasia. Am J Clin Pathol 1988, 89:41-48.
20. Noel EE, Ragavan N, Walsh MJ, James SY, Matanhelia SS, Nicholson CM, Lu YJ, Martin FL. Differential gene expression in the peripheral zone compared to the transition zone of the human prostate gland. Prostate Cancer Prostatic Dis 2008, 11:173-180. 10.1038/sj.pcan.4500997, 17646851.
21. van der Heul-Nieuwenhuijsen L, Hendriksen PJ, van der Kwast TH, Jenster G. Gene expression profiling of the human prostate zones. BJU Int 2006, 98:886-897. 10.1111/j.1464-410X.2006.06427.x, 16978289.
22. Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol 2004, 5:R80. 10.1186/gb-2004-5-10-r80, 545600, 15461798.
23. Mar JC, Kimura Y, Schroder K, Irvine KM, Hayashizaki Y, Suzuki H, Hume D, Quackenbush J. Data-driven normalization strategies for high-throughput quantitative RT-PCR. BMC Bioinforma 2009, 10:110.
24. Caraux G, Pinloche S. PermutMatrix: a graphical environment to arrange gene expression profiles in optimal linear order. Bioinformatics 2005, 21:1280-1281. 10.1093/bioinformatics/bti141, 15546938.
25. Sethupathy P, Corda B, Hatzigeorgiou AG. TarBase: A comprehensive database of experimentally supported animal microRNA targets. RNA 2006, 12:192-197. 1370898, 16373484.
26. Xiao F, Zuo Z, Cai G, Kang S, Gao X. Li T: miRecords: an integrated resource for microRNA-target interactions. Nucleic Acids Res 2009, 37:D105-110. 10.1093/nar/gkn851, 2686554, 18996891.
27. Griffiths-Jones S, Grocock RJ, van Dongen S, Bateman A. Enright AJ: miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res 2006, 34:D140-144. 10.1093/nar/gkj112, 1347474, 16381832.
28. da Huang W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 2009, 4:44-57.
29. Freund YM L. The Alternating Decision Tree Algorithm. Proceedings of the 16th International Conference on Machine Learning 1999, 124-133. Morgan Kaufmann Publishers Inc.
30. Pfahringer B, Holmes G, Kirkby R. Optimizing the Induction of Alternating Decision Trees. Proceedings of the Fifth Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining. Lecture Notes in Computer Science 2001, 477-487.
31. Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten I. The WEKA Data Mining Software: An Update. SIGKDD Explorations 2009, 11:10-18.
32. Yang K, Handorean AM, Iczkowski KA. MicroRNAs 373 and 520c Are Downregulated in Prostate Cancer, Suppress CD44 Translation and Enhance Invasion of Prostate Cancer Cells in vitro. Int J Clin Exp Pathol 2009, 2:361-369. 2615593, 19158933.
33. Huang Q, Gumireddy K, Schrier M, le Sage C, Nagel R, Nair S, Egan DA, Li A, Huang G, Klein-Szanto AJ, et al. The microRNAs miR-373 and miR-520c promote tumour invasion and metastasis. Nat Cell Biol 2008, 10:202-210. 10.1038/ncb1681, 18193036.
34. Aldana-Masangkay GI, Sakamoto KM. The role of HDAC6 in cancer. J Biomed Biotechnol 2011, 2011:875824. 2975074, 21076528.
35. Lee YS, Lim KH, Guo X, Kawaguchi Y, Gao Y, Barrientos T, Ordentlich P, Wang XF, Counter CM, Yao TP. The cytoplasmic deacetylase HDAC6 is required for efficient oncogenic tumorigenesis. Cancer Res 2008, 68:7561-7569. 10.1158/0008-5472.CAN-08-0188, 2978070, 18794144.
36. Chamorro MN, Schwartz DR, Vonica A, Brivanlou AH, Cho KR, Varmus HE. FGF-20 and DKK1 are transcriptional targets of beta-catenin and FGF-20 is implicated in cancer and development. EMBO J 2005, 24:73-84. 10.1038/sj.emboj.7600460, 544900, 15592430.
37. Abbas A, Gupta S. The role of histone deacetylases in prostate cancer. Epigenetics 2008, 3:300-309. 10.4161/epi.3.6.7273, 2683066, 19029799.
38. Jeffers M, Shimkets R, Prayaga S, Boldog F, Yang M, Burgess C, Fernandes E, Rittman B, Shimkets J, LaRochelle WJ, Lichenstein HS. Identification of a novel human fibroblast growth factor and characterization of its role in oncogenesis. Cancer Res 2001, 61:3131-3138.
39. Chao A, Lin CY, Lee YS, Tsai CL, Wei PC, Hsueh S, Wu TI, Tsai CN, Wang CJ, Chao AS, et al. Regulation of ovarian cancer progression by microRNA-187 through targeting Disabled homolog-2. Oncogene 2012, 31:764-775. 10.1038/onc.2011.269, 21725366.
40. Huang Z, Huang S, Wang Q, Liang L, Ni S, Wang L, Sheng W, He X, Du X. MicroRNA-95 promotes cell proliferation and targets sorting Nexin 1 in human colorectal carcinoma. Cancer Res 2011, 71:2582-2589. 10.1158/0008-5472.CAN-10-3032, 21427358.