Prioritizing genes associated with prostate cancer development
The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate tumorigenesis are available. We used these data to identify and prioritize candidate genes associated with the development of prostate cancer and bone m...
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Published in | BMC cancer Vol. 10; no. 1; p. 599 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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England
BioMed Central
02.11.2010
BioMed Central Ltd BMC |
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Abstract | The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate tumorigenesis are available. We used these data to identify and prioritize candidate genes associated with the development of prostate cancer and bone metastases. Our working hypothesis was that combining meta-analyses on different but overlapping steps of prostate tumorigenesis will improve identification of genes associated with prostate cancer development.
A Z score-based meta-analysis of gene-expression data was used to identify candidate genes associated with prostate cancer development. To put together different datasets, we conducted a meta-analysis on 3 levels that follow the natural history of prostate cancer development. For experimental verification of candidates, we used in silico validation as well as in-house gene-expression data.
Genes with experimental evidence of an association with prostate cancer development were overrepresented among our top candidates. The meta-analysis also identified a considerable number of novel candidate genes with no published evidence of a role in prostate cancer development. Functional annotation identified cytoskeleton, cell adhesion, extracellular matrix, and cell motility as the top functions associated with prostate cancer development. We identified 10 genes--CDC2, CCNA2, IGF1, EGR1, SRF, CTGF, CCL2, CAV1, SMAD4, and AURKA--that form hubs of the interaction network and therefore are likely to be primary drivers of prostate cancer development.
By using this large 3-level meta-analysis of the gene-expression data to identify candidate genes associated with prostate cancer development, we have generated a list of candidate genes that may be a useful resource for researchers studying the molecular mechanisms underlying prostate cancer development. |
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AbstractList | The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate tumorigenesis are available. We used these data to identify and prioritize candidate genes associated with the development of prostate cancer and bone metastases. Our working hypothesis was that combining meta-analyses on different but overlapping steps of prostate tumorigenesis will improve identification of genes associated with prostate cancer development.
A Z score-based meta-analysis of gene-expression data was used to identify candidate genes associated with prostate cancer development. To put together different datasets, we conducted a meta-analysis on 3 levels that follow the natural history of prostate cancer development. For experimental verification of candidates, we used in silico validation as well as in-house gene-expression data.
Genes with experimental evidence of an association with prostate cancer development were overrepresented among our top candidates. The meta-analysis also identified a considerable number of novel candidate genes with no published evidence of a role in prostate cancer development. Functional annotation identified cytoskeleton, cell adhesion, extracellular matrix, and cell motility as the top functions associated with prostate cancer development. We identified 10 genes--CDC2, CCNA2, IGF1, EGR1, SRF, CTGF, CCL2, CAV1, SMAD4, and AURKA--that form hubs of the interaction network and therefore are likely to be primary drivers of prostate cancer development.
By using this large 3-level meta-analysis of the gene-expression data to identify candidate genes associated with prostate cancer development, we have generated a list of candidate genes that may be a useful resource for researchers studying the molecular mechanisms underlying prostate cancer development. The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate tumorigenesis are available. We used these data to identify and prioritize candidate genes associated with the development of prostate cancer and bone metastases. Our working hypothesis was that combining meta-analyses on different but overlapping steps of prostate tumorigenesis will improve identification of genes associated with prostate cancer development. A Z score-based meta-analysis of gene-expression data was used to identify candidate genes associated with prostate cancer development. To put together different datasets, we conducted a meta-analysis on 3 levels that follow the natural history of prostate cancer development. For experimental verification of candidates, we used in silico validation as well as in-house gene-expression data. Genes with experimental evidence of an association with prostate cancer development were overrepresented among our top candidates. The meta-analysis also identified a considerable number of novel candidate genes with no published evidence of a role in prostate cancer development. Functional annotation identified cytoskeleton, cell adhesion, extracellular matrix, and cell motility as the top functions associated with prostate cancer development. We identified 10 genes--CDC2, CCNA2, IGF1, EGR1, SRF, CTGF, CCL2, CAV1, SMAD4, and AURKA--that form hubs of the interaction network and therefore are likely to be primary drivers of prostate cancer development. By using this large 3-level meta-analysis of the gene-expression data to identify candidate genes associated with prostate cancer development, we have generated a list of candidate genes that may be a useful resource for researchers studying the molecular mechanisms underlying prostate cancer development. Abstract Background The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate tumorigenesis are available. We used these data to identify and prioritize candidate genes associated with the development of prostate cancer and bone metastases. Our working hypothesis was that combining meta-analyses on different but overlapping steps of prostate tumorigenesis will improve identification of genes associated with prostate cancer development. Methods A Z score-based meta-analysis of gene-expression data was used to identify candidate genes associated with prostate cancer development. To put together different datasets, we conducted a meta-analysis on 3 levels that follow the natural history of prostate cancer development. For experimental verification of candidates, we used in silico validation as well as in-house gene-expression data. Results Genes with experimental evidence of an association with prostate cancer development were overrepresented among our top candidates. The meta-analysis also identified a considerable number of novel candidate genes with no published evidence of a role in prostate cancer development. Functional annotation identified cytoskeleton, cell adhesion, extracellular matrix, and cell motility as the top functions associated with prostate cancer development. We identified 10 genes--CDC2, CCNA2, IGF1, EGR1, SRF, CTGF, CCL2, CAV1, SMAD4, and AURKA--that form hubs of the interaction network and therefore are likely to be primary drivers of prostate cancer development. Conclusions By using this large 3-level meta-analysis of the gene-expression data to identify candidate genes associated with prostate cancer development, we have generated a list of candidate genes that may be a useful resource for researchers studying the molecular mechanisms underlying prostate cancer development. BACKGROUNDThe genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate tumorigenesis are available. We used these data to identify and prioritize candidate genes associated with the development of prostate cancer and bone metastases. Our working hypothesis was that combining meta-analyses on different but overlapping steps of prostate tumorigenesis will improve identification of genes associated with prostate cancer development. METHODSA Z score-based meta-analysis of gene-expression data was used to identify candidate genes associated with prostate cancer development. To put together different datasets, we conducted a meta-analysis on 3 levels that follow the natural history of prostate cancer development. For experimental verification of candidates, we used in silico validation as well as in-house gene-expression data. RESULTSGenes with experimental evidence of an association with prostate cancer development were overrepresented among our top candidates. The meta-analysis also identified a considerable number of novel candidate genes with no published evidence of a role in prostate cancer development. Functional annotation identified cytoskeleton, cell adhesion, extracellular matrix, and cell motility as the top functions associated with prostate cancer development. We identified 10 genes--CDC2, CCNA2, IGF1, EGR1, SRF, CTGF, CCL2, CAV1, SMAD4, and AURKA--that form hubs of the interaction network and therefore are likely to be primary drivers of prostate cancer development. CONCLUSIONSBy using this large 3-level meta-analysis of the gene-expression data to identify candidate genes associated with prostate cancer development, we have generated a list of candidate genes that may be a useful resource for researchers studying the molecular mechanisms underlying prostate cancer development. BACKGROUND: The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate tumorigenesis are available. We used these data to identify and prioritize candidate genes associated with the development of prostate cancer and bone metastases. Our working hypothesis was that combining meta-analyses on different but overlapping steps of prostate tumorigenesis will improve identification of genes associated with prostate cancer development. METHODS: A Z score-based meta-analysis of gene-expression data was used to identify candidate genes associated with prostate cancer development. To put together different datasets, we conducted a meta-analysis on 3 levels that follow the natural history of prostate cancer development. For experimental verification of candidates, we used in silico validation as well as in-house gene-expression data. RESULTS: Genes with experimental evidence of an association with prostate cancer development were overrepresented among our top candidates. The meta-analysis also identified a considerable number of novel candidate genes with no published evidence of a role in prostate cancer development. Functional annotation identified cytoskeleton, cell adhesion, extracellular matrix, and cell motility as the top functions associated with prostate cancer development. We identified 10 genes--CDC2, CCNA2, IGF1, EGR1, SRF, CTGF, CCL2, CAV1, SMAD4, and AURKA--that form hubs of the interaction network and therefore are likely to be primary drivers of prostate cancer development. CONCLUSIONS: By using this large 3-level meta-analysis of the gene-expression data to identify candidate genes associated with prostate cancer development, we have generated a list of candidate genes that may be a useful resource for researchers studying the molecular mechanisms underlying prostate cancer development. |
ArticleNumber | 599 |
Author | Gorlov, Ivan P Gorlova, Olga Y Byun, Jin Young Logothetis, Christopher J Maity, Sankar N Sircar, Kanishka Zhao, Hongya Navone, Nora M Troncoso, Patricia Pettaway, Curtis A |
AuthorAffiliation | 3 Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas 4 Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas 1 Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 2 Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 5 Institute of Advanced Computing and Digital Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
AuthorAffiliation_xml | – name: 5 Institute of Advanced Computing and Digital Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China – name: 3 Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas – name: 4 Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas – name: 2 Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas – name: 1 Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas |
Author_xml | – sequence: 1 givenname: Ivan P surname: Gorlov fullname: Gorlov, Ivan P email: ipgorlov@mdanderson.org organization: Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA. ipgorlov@mdanderson.org – sequence: 2 givenname: Kanishka surname: Sircar fullname: Sircar, Kanishka – sequence: 3 givenname: Hongya surname: Zhao fullname: Zhao, Hongya – sequence: 4 givenname: Sankar N surname: Maity fullname: Maity, Sankar N – sequence: 5 givenname: Nora M surname: Navone fullname: Navone, Nora M – sequence: 6 givenname: Olga Y surname: Gorlova fullname: Gorlova, Olga Y – sequence: 7 givenname: Patricia surname: Troncoso fullname: Troncoso, Patricia – sequence: 8 givenname: Curtis A surname: Pettaway fullname: Pettaway, Curtis A – sequence: 9 givenname: Jin Young surname: Byun fullname: Byun, Jin Young – sequence: 10 givenname: Christopher J surname: Logothetis fullname: Logothetis, Christopher J |
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Cites_doi | 10.1093/bioinformatics/btg290 10.1093/nar/30.1.207 10.1186/1471-2407-7-64 10.1109/TCBB.2005.22 10.1093/nar/30.4.e15 10.1517/14712598.5.8.1069 10.1093/nar/gkl887 10.1158/0008-5472.CAN-08-3492 10.1016/S1470-2045(00)00206-0 10.1002/ijc.24680 10.1371/journal.pone.0002318 10.3748/wjg.v12.i43.6949 10.1093/bioinformatics/btl230 10.1093/jnci/dji153 10.1073/pnas.0611373104 10.1186/1755-8794-2-48 10.1186/gb-2003-4-5-p3 10.1037/0033-2909.86.3.638 10.1186/1471-2105-9-481 10.1016/j.urology.2006.03.032 10.1186/1471-2407-8-396 10.1093/jnci/dji433 10.1158/0008-5472.CAN-05-4000 10.1186/1471-2105-7-166 |
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References | 17099226 - Nucleic Acids Res. 2007 Jan;35(Database issue):D760-5 19653896 - BMC Med Genomics. 2009 Aug 04;2:48 17430594 - BMC Cancer. 2007;7:64 16510604 - Cancer Res. 2006 Mar 1;66(5):2815-25 16050784 - Expert Opin Biol Ther. 2005 Aug;5(8):1069-83 16551372 - BMC Bioinformatics. 2006;7:166 18846227 - PLoS One. 2008;3(5):e2318 17044181 - IEEE/ACM Trans Comput Biol Bioinform. 2005 Apr-Jun;2(2):166-75 19014579 - BMC Bioinformatics. 2008;9:481 16979727 - Urology. 2006 Sep;68(3):518-22 12576423 - Clin Cancer Res. 2003 Feb;9(2):594-600 15956654 - J Natl Cancer Inst. 2005 Jun 15;97(12):927-30 19116033 - BMC Cancer. 2008;8:396 16873470 - Bioinformatics. 2006 Jul 15;22(14):e184-90 11905621 - Lancet Oncol. 2001 Jan;2(1):5 12734009 - Genome Biol. 2003;4(5):P3 11752295 - Nucleic Acids Res. 2002 Jan 1;30(1):207-10 11842121 - Nucleic Acids Res. 2002 Feb 15;30(4):e15 16368948 - J Natl Cancer Inst. 2005 Dec 21;97(24):1851-2; author reply 1852-3 19551858 - Int J Cancer. 2009 Dec 1;125(11):2603-8 14594725 - Bioinformatics. 2003 Nov 1;19(16):2155-7 17360660 - Proc Natl Acad Sci U S A. 2007 Feb 27;104(9):3414-9 19117983 - Cancer Res. 2009 Jan 1;69(1):23-6 17109515 - World J Gastroenterol. 2006 Nov 21;12(43):6949-54 J Byun (2398_CR18) 2009; 125 M Stanbrough (2398_CR21) 2006; 66 YH Yang (2398_CR23) 2002; 30 A Nikitin (2398_CR25) 2003; 19 DJ Brennan (2398_CR8) 2005; 5 R Edgar (2398_CR11) 2002; 30 M Habeck (2398_CR6) 2001; 2 M Dolled-Filhart (2398_CR9) 2003; 9 B Gur-Dedeoglu (2398_CR12) 2008; 8 UR Chandran (2398_CR20) 2007; 7 MP Jansen (2398_CR4) 2005; 97 P Yue (2398_CR19) 2006; 7 IP Gorlov (2398_CR17) 2009; 2 R Zigeuner (2398_CR3) 2006; 68 JF Reid (2398_CR5) 2005; 97 T Barrett (2398_CR10) 2007; 35 L Wang (2398_CR2) 2006; 12 SA Ochsner (2398_CR14) 2009; 69 T Nakagawa (2398_CR24) 2008; 3 R Lin (2398_CR13) 2008; 9 R Rosenthal (2398_CR15) 1979; 86 O Gevaert (2398_CR7) 2006; 22 ND Price (2398_CR22) 2007; 104 L Shen (2398_CR1) 2005; 2 G Dennis Jr (2398_CR16) 2003; 4 |
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Snippet | The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate... Abstract Background: The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of... BACKGROUNDThe genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate... BACKGROUND: The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate... Abstract Background The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of... |
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SubjectTerms | Algorithms Bone Neoplasms - secondary Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Genotype & phenotype Humans Male Meta-analysis Models, Statistical Neoplasm Metastasis Phenotype Prostate cancer Prostatic Neoplasms - metabolism Prostatic Neoplasms - pathology Studies |
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Title | Prioritizing genes associated with prostate cancer development |
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