Literature DB >> 12057920

Decrease and gain of gene expression are equally discriminatory markers for prostate carcinoma: a gene expression analysis on total and microdissected prostate tissue.

Thomas Ernst1, Manfred Hergenhahn, Marc Kenzelmann, Clemens D Cohen, Mahnaz Bonrouhi, Annette Weninger, Ralf Klären, Elisabeth F Gröne, Manfred Wiesel, Christof Güdemann, Jens Küster, Winfried Schott, Gerd Staehler, Matthias Kretzler, Monica Hollstein, Hermann-Josef Gröne.   

Abstract

Information on over- and underexpressed genes in prostate cancer in comparison to adjacent normal tissue was sought by DNA microarray analysis. Approximately 12,600 mRNA sequences were analyzed from a total of 26 tissue samples (17 untreated prostate cancers, 9 normal adjacent to prostate cancer tissues) obtained by prostatectomy. Hierarchical clustering was performed. Expression levels of 63 genes were found significantly (at least 2.5-fold) increased, whereas expression of 153 genes was decreased (at least 2.5-fold) in prostate cancer versus adjacent normal tissue. In addition to previously described genes such as hepsin, overexpression of several genes was found that has not drawn attention before, such as the genes encoding the specific granule protein (SGP28), alpha-methyl-acyl-CoA racemase, low density lipoprotein (LDL)-phospholipase A2, and the anti-apoptotic gene PYCR1. The radiosensitivity gene ATDC and the genes encoding the DNA-binding protein inhibitor ID1 and the phospholipase inhibitor uteroglobin were significantly down-regulated in the cancer samples. DNA microarray data for eight genes were confirmed quantitatively in five normal and five cancer tissues by real-time reverse transcriptase-polymerase chain reaction with a high correlation between the two methods. Laser capture microdissection of epithelial and stromal compartments from cancer and histological normal specimens followed by an amplification protocol for low levels of RNA (<0.1 microg) allowed us to distinguish between gene expression profiles characteristic of epithelial cells and those typical of stroma. Most of the genes identified in the nonmicrodissected tumor material as up-regulated were indeed overexpressed in cancerous epithelium rather than in the stromal compartment. We conclude that development of prostate cancer is associated with down-regulation as well as up-regulation of genes that show complex differential regulation in epithelia and stroma. Some of the gene expression alterations identified in this study may prove useful in the development of novel diagnostic and therapeutic strategies.

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Year:  2002        PMID: 12057920      PMCID: PMC1850818          DOI: 10.1016/S0002-9440(10)61165-0

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  32 in total

1.  Quantitative analysis of mRNA amplification by in vitro transcription.

Authors:  L R Baugh; A A Hill; E L Brown; C P Hunter
Journal:  Nucleic Acids Res       Date:  2001-03-01       Impact factor: 16.971

2.  Fatty acid regulates gene expression and growth of human prostate cancer PC-3 cells.

Authors:  M Hughes-Fulford; Y Chen; R R Tjandrawinata
Journal:  Carcinogenesis       Date:  2001-05       Impact factor: 4.944

3.  Molecular cytogenetic analysis of prostatic adenocarcinomas from screening studies : early cancers may contain aggressive genetic features.

Authors:  J C Alers; P J Krijtenburg; A N Vis; R F Hoedemaeker; M F Wildhagen; W C Hop; T T van Der Kwast; F H Schröder; H J Tanke; H van Dekken
Journal:  Am J Pathol       Date:  2001-02       Impact factor: 4.307

4.  Expression profiling reveals hepsin overexpression in prostate cancer.

Authors:  J A Magee; T Araki; S Patil; T Ehrig; L True; P A Humphrey; W J Catalona; M A Watson; J Milbrandt
Journal:  Cancer Res       Date:  2001-08-01       Impact factor: 12.701

5.  Human prostate cancer and benign prostatic hyperplasia: molecular dissection by gene expression profiling.

Authors:  J Luo; D J Duggan; Y Chen; J Sauvageot; C M Ewing; M L Bittner; J M Trent; W B Isaacs
Journal:  Cancer Res       Date:  2001-06-15       Impact factor: 12.701

6.  Expression profiling of ductal carcinoma in situ by laser capture microdissection and high-density oligonucleotide arrays.

Authors:  V Luzzi; V Holtschlag; M A Watson
Journal:  Am J Pathol       Date:  2001-06       Impact factor: 4.307

7.  Genetic changes in clinically organ-confined prostate cancer by comparative genomic hybridization.

Authors:  W Fu; L Bubendorf; N Willi; H Moch; M J Mihatsch; G Sauter; T C Gasser
Journal:  Urology       Date:  2000-11-01       Impact factor: 2.649

8.  Postatrophic hyperplasia of the prostate gland: neoplastic precursor or innocent bystander?

Authors:  R Shah; N R Mucci; A Amin; J A Macoska; M A Rubin
Journal:  Am J Pathol       Date:  2001-05       Impact factor: 4.307

9.  Discovery of new DNA amplification loci in prostate cancer by comparative genomic hybridization.

Authors:  A El Gedaily; L Bubendorf; N Willi; W Fu; J Richter; H Moch; M J Mihatsch; G Sauter; T C Gasser
Journal:  Prostate       Date:  2001-02-15       Impact factor: 4.104

10.  Identification of potential diagnostic markers of prostate cancer and prostatic intraepithelial neoplasia using cDNA microarray.

Authors:  J H Bull; G Ellison; A Patel; G Muir; M Walker; M Underwood; F Khan; L Paskins
Journal:  Br J Cancer       Date:  2001-06-01       Impact factor: 7.640

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  83 in total

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Authors:  Anna T Rogojina; William E Orr; Bong K Song; Eldon E Geisert
Journal:  Mol Vis       Date:  2003-10-06       Impact factor: 2.367

2.  CONFAC: automated application of comparative genomic promoter analysis to DNA microarray datasets.

Authors:  Suresh Karanam; Carlos S Moreno
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  Combining multiple microarray studies using bootstrap meta-analysis.

Authors:  Andrea B Barrett; John H Phan; May D Wang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

4.  Gene expression profiles of microdissected pancreatic ductal adenocarcinoma.

Authors:  Robert Grützmann; Melanie Foerder; Ingo Alldinger; Eike Staub; Thomas Brümmendorf; Stefan Röpcke; Xinzhong Li; Glen Kristiansen; Ralf Jesenofsky; Ralf Jesnowski; Bence Sipos; Matthias Löhr; Jutta Lüttges; Detlef Ockert; Günter Klöppel; Hans Detlev Saeger; Christian Pilarsky
Journal:  Virchows Arch       Date:  2003-08-27       Impact factor: 4.064

5.  Prognostic value of tripartite motif containing 29 expression in patients with gastric cancer following surgical resection.

Authors:  Chenghu Wang; Yi Zhou; Beibei Chen; Weiwei Yuan; Jinxi Huang
Journal:  Oncol Lett       Date:  2018-02-15       Impact factor: 2.967

6.  A novel role of myosin VI in human prostate cancer.

Authors:  Thomas A Dunn; Shenglin Chen; Dennis A Faith; Jessica L Hicks; Elizabeth A Platz; Yidong Chen; Charles M Ewing; Jurga Sauvageot; William B Isaacs; Angelo M De Marzo; Jun Luo
Journal:  Am J Pathol       Date:  2006-11       Impact factor: 4.307

7.  The Sex-determining region Y-box 4 and homeobox C6 transcriptional networks in prostate cancer progression: crosstalk with the Wnt, Notch, and PI3K pathways.

Authors:  Carlos S Moreno
Journal:  Am J Pathol       Date:  2009-12-17       Impact factor: 4.307

8.  Cancer-relevant biochemical targets of cytotoxic Lonchocarpus flavonoids: a molecular docking analysis.

Authors:  Caitlin E Cassidy; William N Setzer
Journal:  J Mol Model       Date:  2009-07-15       Impact factor: 1.810

9.  Gene expression down-regulation in CD90+ prostate tumor-associated stromal cells involves potential organ-specific genes.

Authors:  Laura E Pascal; Young Ah Goo; Ricardo Zn Vêncio; Laura S Page; Amber A Chambers; Emily S Liebeskind; Thomas K Takayama; Lawrence D True; Alvin Y Liu
Journal:  BMC Cancer       Date:  2009-09-08       Impact factor: 4.430

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

Authors:  Jennifer L Gregg; Kathleen E Brown; Eric M Mintz; Helen Piontkivska; Gail C Fraizer
Journal:  BMC Cancer       Date:  2010-04-28       Impact factor: 4.430

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