Literature DB >> 17620309

Transcriptome analysis of serous ovarian cancers identifies differentially expressed chromosome 3 genes.

Ashley H Birch1, Michael C J Quinn, Ali Filali-Mouhim, Diane M Provencher, Anne-Marie Mes-Masson, Patricia N Tonin.   

Abstract

Cytogenetic, molecular genetic and functional analyses have implicated chromosome 3 genes in epithelial ovarian cancers (EOC). To further characterize their contribution to EOC, the Affymetrix U133A GeneChip(R) was used to perform transcriptome analyses of chromosome 3 genes in primary cultures of normal ovarian surface epithelial (NOSE) cells (n = 14), malignant serous epithelial ovarian tumors (TOV) (n = 17), and four EOC cell lines (TOV-81D, TOV-112D, TOV-21G, and OV-90). A two-way comparative analysis of 735 known genes and expressed sequences identified 278 differentially expressed genes, where 43 genes were differentially expressed in at least 50% of the TOV samples. Three genes, RIS1 (at 3p21.31), GBE1 (at 3p12.2), and HEG1 (at 3q21.2), were similarly underexpressed in all TOV samples. Deregulation of the expression of these genes was not associated with loss of heterozygosity (LOH) of the genetic loci harboring them. LOH analysis of the RIS1, GBE1, and HEG1 loci was observed at frequencies of 14.3%, 13.7%, and 9.2%, respectively, in a series of 66 malignant TOV samples of the serous subtype. Reduced expression levels of RIS1, GBE1, and HEG1 were observed only in the tumorigenic EOC cell lines (TOV-21G, TOV-112D, and OV-90) and did not correlate with LOH. These results combined suggest that RIS1, GBE1, and HEG1, unlike classical tumor suppressor genes, are not likely to be primary targets of inactivation. This study provides a comprehensive analysis of chromosome 3 gene expression in NOSE and in EOC samples and identifies chromosome 3 gene candidates for further study. (c) 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 17620309     DOI: 10.1002/mc.20361

Source DB:  PubMed          Journal:  Mol Carcinog        ISSN: 0899-1987            Impact factor:   4.784


  10 in total

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Authors:  Karen Gambaro; Michael C J Quinn; Paulina M Wojnarowicz; Suzanna L Arcand; Manon de Ladurantaye; Véronique Barrès; Jean-Sébastien Ripeau; Ann M Killary; Elaine C Davis; Josée Lavoie; Diane M Provencher; Anne-Marie Mes-Masson; Mario Chevrette; Patricia N Tonin
Journal:  Mol Oncol       Date:  2013-01-16       Impact factor: 6.603

2.  Derivation and characterization of matched cell lines from primary and recurrent serous ovarian cancer.

Authors:  Isabelle J Létourneau; Michael C J Quinn; Lu-Lin Wang; Lise Portelance; Katia Y Caceres; Louis Cyr; Nathalie Delvoye; Liliane Meunier; Manon de Ladurantaye; Zhen Shen; Suzanna L Arcand; Patricia N Tonin; Diane M Provencher; Anne-Marie Mes-Masson
Journal:  BMC Cancer       Date:  2012-08-29       Impact factor: 4.430

3.  Subtype specific elevated expression of hyaluronidase-1 (HYAL-1) in epithelial ovarian cancer.

Authors:  Paule Héléna Yoffou; Lydia Edjekouane; Liliane Meunier; André Tremblay; Diane Michèle Provencher; Anne-Marie Mes-Masson; Euridice Carmona
Journal:  PLoS One       Date:  2011-06-10       Impact factor: 3.240

4.  Chromosome 3 anomalies investigated by genome wide SNP analysis of benign, low malignant potential and low grade ovarian serous tumours.

Authors:  Ashley H Birch; Suzanna L Arcand; Kathleen K Oros; Kurosh Rahimi; A Kevin Watters; Diane Provencher; Celia M Greenwood; Anne-Marie Mes-Masson; Patricia N Tonin
Journal:  PLoS One       Date:  2011-12-06       Impact factor: 3.240

5.  Identification of ChIP-seq mapped targets of HP1β due to bombesin/GRP receptor activation.

Authors:  Robert Tell; Q Tian Wang; Adam Blunier; Richard V Benya
Journal:  Clin Epigenetics       Date:  2011-03-29       Impact factor: 6.551

6.  Low levels of IGFBP7 expression in high-grade serous ovarian carcinoma is associated with patient outcome.

Authors:  Karen Gambaro; Michael C J Quinn; Katia Y Cáceres-Gorriti; Rebecca S Shapiro; Diane Provencher; Kurosh Rahimi; Anne-Marie Mes-Masson; Patricia N Tonin
Journal:  BMC Cancer       Date:  2015-03-17       Impact factor: 4.430

7.  Gene dosage, expression, and ontology analysis identifies driver genes in the carcinogenesis and chemoradioresistance of cervical cancer.

Authors:  Malin Lando; Marit Holden; Linn C Bergersen; Debbie H Svendsrud; Trond Stokke; Kolbein Sundfør; Ingrid K Glad; Gunnar B Kristensen; Heidi Lyng
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8.  The chemiluminescence based Ziplex automated workstation focus array reproduces ovarian cancer Affymetrix GeneChip expression profiles.

Authors:  Michael C J Quinn; Daniel J Wilson; Fiona Young; Adam A Dempsey; Suzanna L Arcand; Ashley H Birch; Paulina M Wojnarowicz; Diane Provencher; Anne-Marie Mes-Masson; David Englert; Patricia N Tonin
Journal:  J Transl Med       Date:  2009-07-06       Impact factor: 5.531

9.  Influence of monolayer, spheroid, and tumor growth conditions on chromosome 3 gene expression in tumorigenic epithelial ovarian cancer cell lines.

Authors:  Neal Al Cody; Magdalena Zietarska; Ali Filali-Mouhim; Diane M Provencher; Anne-Marie Mes-Masson; Patricia N Tonin
Journal:  BMC Med Genomics       Date:  2008-08-07       Impact factor: 3.063

10.  Transcriptional regulation induced by cAMP elevation in mouse Schwann cells.

Authors:  Daniela Schmid; Thomas Zeis; Nicole Schaeren-Wiemers
Journal:  ASN Neuro       Date:  2014-04-30       Impact factor: 4.146

  10 in total

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