Literature DB >> 12154061

Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease.

Eva LaTulippe1, Jaya Satagopan, Alex Smith, Howard Scher, Peter Scardino, Victor Reuter, William L Gerald.   

Abstract

The identification of genes that contribute to the biological basis for clinical heterogeneity and progression of prostate cancer is critical to accurate classification and appropriate therapy. We performed a comprehensive gene expression analysis of prostate cancer using oligonucleotide arrays with 63,175 probe sets to identify genes and expressed sequences with strong and uniform differential expression between nonrecurrent primary prostate cancers and metastatic prostate cancers. The mean expression value for >3,000 tumor-intrinsic genes differed by at least 3-fold between the two groups. This includes many novel ESTs not previously implicated in prostate cancer progression. Many differentially expressed genes participate in biological processes that may contribute to the clinical phenotype. One example was a strong correlation between high proliferation rates in metastatic cancers and overexpression of genes that participate in cell cycle regulation, DNA replication, and DNA repair. Other functional categories of differentially expressed genes included transcriptional regulation, signaling, signal transduction, cell structure, and motility. These differentially expressed genes reflect critical cellular activities that contribute to clinical heterogeneity and provide diagnostic and therapeutic targets.

Entities:  

Mesh:

Year:  2002        PMID: 12154061

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  208 in total

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Review 2.  Epigenetic changes of DNA repair genes in cancer.

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Authors:  Jeff Holzbeierlein; Priti Lal; Eva LaTulippe; Alex Smith; Jaya Satagopan; Liying Zhang; Charles Ryan; Steve Smith; Howard Scher; Peter Scardino; Victor Reuter; William L Gerald
Journal:  Am J Pathol       Date:  2004-01       Impact factor: 4.307

4.  Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression.

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7.  Regulators of gene expression as biomarkers for prostate cancer.

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Journal:  Am J Cancer Res       Date:  2012-11-20       Impact factor: 6.166

8.  Genome-wide methylation analysis of prostate tissues reveals global methylation patterns of prostate cancer.

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Journal:  Am J Pathol       Date:  2013-04-10       Impact factor: 4.307

9.  Quantitative proteomic profiling of prostate cancer reveals a role for miR-128 in prostate cancer.

Authors:  Amjad P Khan; Laila M Poisson; Vadiraja B Bhat; Damian Fermin; Rong Zhao; Shanker Kalyana-Sundaram; George Michailidis; Alexey I Nesvizhskii; Gilbert S Omenn; Arul M Chinnaiyan; Arun Sreekumar
Journal:  Mol Cell Proteomics       Date:  2009-11-09       Impact factor: 5.911

10.  EBP1, an ErbB3-binding protein, is decreased in prostate cancer and implicated in hormone resistance.

Authors:  Yuexing Zhang; Douglas Linn; Zhenqiu Liu; Jonathan Melamed; Fabio Tavora; Charles Y Young; Angelika M Burger; Anne W Hamburger
Journal:  Mol Cancer Ther       Date:  2008-10       Impact factor: 6.261

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