Literature DB >> 12647366

[Gene expression profiling in prostatic cancer].

T Ernst1, M Hergenhahn, M Kenzelmann, C D Cohen, U Ikinger, M Kretzler, M Hollstein, H J Gröne.   

Abstract

Basic aspects of the biology and molecular alterations in prostate carcinoma remain poorly understood. New diagnostic and prognostic markers for prostate carcinoma may add additional information to current histopathological diagnosis. In order to achieve these goals, a comprehensive gene expression analysis was performed on non-metastasizing, untreated prostate cancer tissues. RNA expression profiles of approximately 12,600 sequences from 26 human prostate tissues (17 adenocarcinomas and 9 normal adjacent to cancer tissues) were investigated using high-density oligonucleotide microarray technology (Affymetrix). We identified 63 genes which were significantly increased (at least 2.5-fold) and 153 genes which were decreased (at least 2.5-fold). Upregulated genes included several which had not yet been described, such as the genes encoding the specific granule protein (SGP28), several members of the histone family, and the alpha-methylacyl-CoA racemase, but also previously reported ones such as hepsin, LIM domain kinase 2, and carcinoma-associated antigen GA733-2. Laser capture-microdissection of epithelial and stromal compartments from cancer and histologically normal specimens followed by an amplification protocol for low amounts of RNA (< 0.1 microgram) allowed us to distinguish between gene expression profiles characteristic of epithelial cells and those typical of stroma. Most of the genes identified in bulk tumor material as upregulated were indeed overexpressed in cancerous epithelium rather than in the stromal compartment. DNA microarray data for up- and downregulated genes were confirmed by quantitative RT-PCR. We demonstrated that development of prostate cancer is associated with downregulation as well as upregulation of genes that show complex differential regulation in epithelia and stroma. Some of the alterations in gene expression identified in this study may prove useful in development of novel diagnostic and therapeutic strategies. Gene expression profiling of microdissected tumor cells in prostate biopsies may supplement histopathologic diagnosis.

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Year:  2002        PMID: 12647366

Source DB:  PubMed          Journal:  Verh Dtsch Ges Pathol        ISSN: 0070-4113


  4 in total

1.  Whole-genome methylation sequencing reveals distinct impact of differential methylations on gene transcription in prostate cancer.

Authors:  Yan P Yu; Ying Ding; Rui Chen; Serena G Liao; Bao-Guo Ren; Amantha Michalopoulos; George Michalopoulos; Joel Nelson; George C Tseng; Jian-Hua Luo
Journal:  Am J Pathol       Date:  2013-10-08       Impact factor: 4.307

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

Authors:  Jian-Hua Luo; Ying Ding; Rui Chen; George Michalopoulos; Joel Nelson; George Tseng; Yan P Yu
Journal:  Am J Pathol       Date:  2013-04-10       Impact factor: 4.307

3.  Proteomic profiling of human keratinocytes undergoing UVB-induced alternative differentiation reveals TRIpartite Motif Protein 29 as a survival factor.

Authors:  Véronique Bertrand-Vallery; Nathalie Belot; Marc Dieu; Edouard Delaive; Noëlle Ninane; Catherine Demazy; Martine Raes; Michel Salmon; Yves Poumay; Florence Debacq-Chainiaux; Olivier Toussaint
Journal:  PLoS One       Date:  2010-05-03       Impact factor: 3.240

4.  Classification between normal and tumor tissues based on the pair-wise gene expression ratio.

Authors:  YeeLeng Yap; XueWu Zhang; M T Ling; Xianghong Wang; Y C Wong; Antoine Danchin
Journal:  BMC Cancer       Date:  2004-10-07       Impact factor: 4.430

  4 in total

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