Literature DB >> 18028382

Construction of a chromosome 17 transcriptome in serous ovarian cancer identifies differentially expressed genes.

P M Wojnarowicz1, A Breznan, S L Arcand, A Filali-Mouhim, D M Provencher, A-M Mes-Masson, P N Tonin.   

Abstract

Cytogenetic, molecular genetic, and functional analyses have implicated chromosome 17 genes in epithelial ovarian cancer (EOC). To further characterize the contribution of chromosome 17 genes in EOC, the Affymetrix U133A GeneChip was used to perform transcriptome analyses of 15 primary cultures of normal ovarian surface epithelial (NOSE) cells and 17 malignant ovarian tumor (TOV) samples of the serous histopathologic subtype. A two-way comparative analysis of 776 known genes and expressed sequences identified 253 genes that exhibited at least a threefold difference in expression in at least one TOV sample compared to the mean of NOSE samples. Within this data set, 99 of the 253 (39.1%) genes exhibited similar patterns of expression across all tested samples, suggesting a high degree of concordance in the chromosome 17 transcriptome. This observation was supported by hierarchical clustering analysis that segregated the TOV and NOSE samples into two separate groups. There were 77 genes that were differentially expressed in at least 50% of the TOV samples. Five genes (AdoRA(2B)at 17p12, CCL2 at 17q12, ACLY at 17q21.2, WIPI1 at 17q24.2, and SLC16A3 at 17q25.3) were significantly (P < 5.13E-11) differentially expressed at least threefold in all serous TOV samples, and all five genes were underexpressed in these TOV samples as compared to the NOSE samples. Interestingly, several of these differentially expressed genes have been previously associated with response to hypoxia.

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Year:  2007        PMID: 18028382     DOI: 10.1111/j.1525-1438.2007.01134.x

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  10 in total

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Journal:  J Mol Med (Berl)       Date:  2019-12-19       Impact factor: 4.599

2.  Genetic variations in monocyte chemoattractant protein-1 and susceptibility to ovarian cancer.

Authors:  Li Li; Jinshan Zhang; Xin Weng; Ge Wen
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3.  Prognostic relevance of acquired uniparental disomy in serous ovarian cancer.

Authors:  Musaffe Tuna; Zhenlin Ju; Marcel Smid; Christopher I Amos; Gordon B Mills
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4.  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

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6.  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
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7.  Overexpressing the CCL2 chemokine in an epithelial ovarian cancer cell line results in latency of in vivo tumourigenicity.

Authors:  P Wojnarowicz; K Gambaro; M de Ladurantaye; M C J Quinn; D Provencher; A-M Mes-Masson; P N Tonin
Journal:  Oncogenesis       Date:  2012-09-10       Impact factor: 7.485

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Review 10.  Deregulation of Lipid Metabolism: The Critical Factors in Ovarian Cancer.

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  10 in total

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