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Robust gene network analysis reveals alteration of the STAT5a network as a hallmark of prostate cancer.

Reddy A, Huang CC, Liu H, Delisi C, Nevalainen MT, Szalma S, Bhanot G.

Genome Inform. 2010;24:139-53.


[Key genes in the pathogenesis of prostate cancer in Chinese men: a bioinformatic study].

Wang G, Yang K, Meng S, Xu Y, Yang ZH, Liu Y.

Zhonghua Nan Ke Xue. 2010 Apr;16(4):320-4. Chinese.


Constructing disease-specific gene networks using pair-wise relevance metric: application to colon cancer identifies interleukin 8, desmin and enolase 1 as the central elements.

Jiang W, Li X, Rao S, Wang L, Du L, Li C, Wu C, Wang H, Wang Y, Yang B.

BMC Syst Biol. 2008 Aug 10;2:72. doi: 10.1186/1752-0509-2-72.


miRNA-mRNA correlation-network modules in human prostate cancer and the differences between primary and metastatic tumor subtypes.

Zhang W, Edwards A, Fan W, Flemington EK, Zhang K.

PLoS One. 2012;7(6):e40130. doi: 10.1371/journal.pone.0040130.


Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostates.

Fujita A, Gomes LR, Sato JR, Yamaguchi R, Thomaz CE, Sogayar MC, Miyano S.

BMC Syst Biol. 2008 Dec 5;2:106. doi: 10.1186/1752-0509-2-106.


Integrative gene network construction for predicting a set of complementary prostate cancer genes.

Ahn J, Yoon Y, Park C, Shin E, Park S.

Bioinformatics. 2011 Jul 1;27(13):1846-53. doi: 10.1093/bioinformatics/btr283.


Transcription factor signal transducer and activator of transcription 5 promotes growth of human prostate cancer cells in vivo.

Dagvadorj A, Kirken RA, Leiby B, Karras J, Nevalainen MT.

Clin Cancer Res. 2008 Mar 1;14(5):1317-24. doi: 10.1158/1078-0432.CCR-07-2024.


Enhanced expression of SOS1 is detected in prostate cancer epithelial cells from African-American men.

Timofeeva OA, Zhang X, Ressom HW, Varghese RS, Kallakury BV, Wang K, Ji Y, Cheema A, Jung M, Brown ML, Rhim JS, Dritschilo A.

Int J Oncol. 2009 Oct;35(4):751-60.


Analysis of gene expression in prostate cancer epithelial and interstitial stromal cells using laser capture microdissection.

Gregg JL, Brown KE, Mintz EM, Piontkivska H, Fraizer GC.

BMC Cancer. 2010 Apr 28;10:165. doi: 10.1186/1471-2407-10-165.


Factor interaction analysis for chromosome 8 and DNA methylation alterations highlights innate immune response suppression and cytoskeletal changes in prostate cancer.

Schulz WA, Alexa A, Jung V, Hader C, Hoffmann MJ, Yamanaka M, Fritzsche S, Wlazlinski A, M├╝ller M, Lengauer T, Engers R, Florl AR, Wullich B, Rahnenf├╝hrer J.

Mol Cancer. 2007 Feb 5;6:14.


Genetic network and gene set enrichment analysis to identify biomarkers related to cigarette smoking and lung cancer.

Fang X, Netzer M, Baumgartner C, Bai C, Wang X.

Cancer Treat Rev. 2013 Feb;39(1):77-88. doi: 10.1016/j.ctrv.2012.06.001.


Transcription factor Stat5 synergizes with androgen receptor in prostate cancer cells.

Tan SH, Dagvadorj A, Shen F, Gu L, Liao Z, Abdulghani J, Zhang Y, Gelmann EP, Zellweger T, Culig Z, Visakorpi T, Bubendorf L, Kirken RA, Karras J, Nevalainen MT.

Cancer Res. 2008 Jan 1;68(1):236-48. doi: 10.1158/0008-5472.CAN-07-2972.


N-terminal truncation of Stat5a/b circumvents PIAS3-mediated transcriptional inhibition of Stat5 in prostate cancer cells.

Dagvadorj A, Tan SH, Liao Z, Xie J, Nurmi M, Alanen K, Rui H, Mirtti T, Nevalainen MT.

Int J Biochem Cell Biol. 2010 Dec;42(12):2037-46. doi: 10.1016/j.biocel.2010.09.008.


Signal transducer and activator of transcription 5A/B in prostate and breast cancers.

Tan SH, Nevalainen MT.

Endocr Relat Cancer. 2008 Jun;15(2):367-90. doi: 10.1677/ERC-08-0013. Review.


Network-based Identification of novel cancer genes.

Ostlund G, Lindskog M, Sonnhammer EL.

Mol Cell Proteomics. 2010 Apr;9(4):648-55. doi: 10.1074/mcp.M900227-MCP200.


Application of Affymetrix array and Massively Parallel Signature Sequencing for identification of genes involved in prostate cancer progression.

Oudes AJ, Roach JC, Walashek LS, Eichner LJ, True LD, Vessella RL, Liu AY.

BMC Cancer. 2005 Jul 22;5:86.


Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data.

Bonnet E, Michoel T, Van de Peer Y.

Bioinformatics. 2010 Sep 15;26(18):i638-44. doi: 10.1093/bioinformatics/btq395.


Differentially expressed transcripts and dysregulated signaling pathways and networks in African American breast cancer.

Stewart PA, Luks J, Roycik MD, Sang QX, Zhang J.

PLoS One. 2013 Dec 4;8(12):e82460. doi: 10.1371/journal.pone.0082460.

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