Literature DB >> 16642477

Genetic aberrations in prostate cancer by microarray analysis.

Outi R Saramäki1, Kati P Porkka, Robert L Vessella, Tapio Visakorpi.   

Abstract

The aim of this study was to screen genetic as well as expression alterations in prostate cancer. Array comparative genomic hybridization (aCGH) to a 16K cDNA microarray was performed to analyze DNA sequence copy number alterations in 5 prostate cancer cell lines and 13 xenografts. The aCGH confirmed the previously implicated common gains and losses, such as gains at 1q, 7, 8q, 16p and 17q and losses at 2q, 4p/q, 6q, 8p, 13q, 16q, 17p and 18q, which have previously been identified by chromosomal CGH (cCGH). Because of the higher resolution of aCGH, the minimal commonly altered regions were significantly narrowed-down. For example, the gain of 8q was mapped to three independent regions, 8q13.3-q21.11, 8q22.2 and 8q24.13-q24.3. In addition, a novel recurrent gain at 9p13-q21 was identified. The concomitant expression analysis indicated that genome-wide DNA sequence copy number (gene dosage) was significantly associated with the expression level (p < 0.0001). The analyses indicated several individual genes whose expression was associated with the gene copy number. For example, gains of PTK2 and FZD6, were associated with the increased expression, whereas losses of TNFRSF10B (alias DR5) and ITGA4 with decreased expression. In conclusion, the aCGH mapping data will aid in the identification of genes altered in prostate cancer. The combined expression and copy number analysis suggested that even a low-level copy number change may have significant effect on gene expression, and thus on the development of prostate cancer.

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Year:  2006        PMID: 16642477     DOI: 10.1002/ijc.21976

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  37 in total

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Journal:  Nat Cell Biol       Date:  2010-03-21       Impact factor: 28.824

2.  Genome-wide DNA copy number analysis in pancreatic cancer using high-density single nucleotide polymorphism arrays.

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3.  Copy number and gene expression differences between African American and Caucasian American prostate cancer.

Authors:  Amy E Rose; Jaya M Satagopan; Carole Oddoux; Qin Zhou; Ruliang Xu; Adam B Olshen; Jessie Z Yu; Atreya Dash; Jerome Jean-Gilles; Victor Reuter; William L Gerald; Peng Lee; Iman Osman
Journal:  J Transl Med       Date:  2010-07-22       Impact factor: 5.531

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Journal:  Cell Res       Date:  2013-12-03       Impact factor: 25.617

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Review 6.  Genomic signatures associated with the development, progression, and outcome of prostate cancer.

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Journal:  Mol Diagn Ther       Date:  2007       Impact factor: 4.074

7.  Copy number gain and oncogenic activity of YWHAZ/14-3-3zeta in head and neck squamous cell carcinoma.

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Journal:  Int J Cancer       Date:  2009-08-01       Impact factor: 7.396

Review 8.  Frizzled homolog proteins, microRNAs and Wnt signaling in cancer.

Authors:  Koji Ueno; Hiroshi Hirata; Yuji Hinoda; Rajvir Dahiya
Journal:  Int J Cancer       Date:  2012-08-30       Impact factor: 7.396

9.  Genomic alterations indicate tumor origin and varied metastatic potential of disseminated cells from prostate cancer patients.

Authors:  Ilona N Holcomb; Douglas I Grove; Martin Kinnunen; Cynthia L Friedman; Ian S Gallaher; Todd M Morgan; Cassandra L Sather; Jeffrey J Delrow; Peter S Nelson; Paul H Lange; William J Ellis; Lawrence D True; Janet M Young; Li Hsu; Barbara J Trask; Robert L Vessella
Journal:  Cancer Res       Date:  2008-07-15       Impact factor: 12.701

10.  Copy number analysis indicates monoclonal origin of lethal metastatic prostate cancer.

Authors:  Wennuan Liu; Sari Laitinen; Sofia Khan; Mauno Vihinen; Jeanne Kowalski; Guoqiang Yu; Li Chen; Charles M Ewing; Mario A Eisenberger; Michael A Carducci; William G Nelson; Srinivasan Yegnasubramanian; Jun Luo; Yue Wang; Jianfeng Xu; William B Isaacs; Tapio Visakorpi; G Steven Bova
Journal:  Nat Med       Date:  2009-04-12       Impact factor: 53.440

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