Literature DB >> 16647105

Identification of chromosomal alterations important in the development of cervical intraepithelial neoplasia and invasive carcinoma using alignment of DNA microarray data.

Margaret A Fitzpatrick1, Margo C Funk, David Gius, Phyllis C Huettner, Zhengyan Zhang, Miri Bidder, Duanduan Ma, Matthew A Powell, Janet S Rader.   

Abstract

OBJECTIVE: To use microarray data to reveal regions of potential chromosomal loss or gain important in cervical intraepithelial neoplasia (CIN) and invasive cervical cancer by identifying mRNA expression biases in contiguous chromosomal regions.
METHODS: Data from three RNA expression microarray experiments were used: one primary experiment using cDNA arrays profiling gene expression in cervical epithelium from viral cytopathic effect to invasive cancer, one experiment using Affymetrix arrays profiling gene expression in invasive cancerous cervical epithelium, and one experiment using Affymetrix arrays profiling gene expression in CIN cervical biopsy specimens. Gene expression was aligned along chromosomes to reveal regions of significant chromosomal imbalance. Regions showing significant gain or loss and verified in more than one experiment are presented here. RT-PCR was performed to validate expression of one gene in a region.
RESULTS: Gain of 3q was detected from the CIN II (P=0.018), CIN III (P=0.005), and invasive cancer (P=0.0002) cDNA arrays, and gain of 12q was detected from the CIN (P=0.05) and invasive cancer (P=0.05) Affymetrix arrays. Loss of 6p was detected from the CIN III (P=0.004) cDNA arrays and invasive cancer (P=0.05) Affymetrix arrays. Loss of 4q was detected from the invasive cancer (P=0.04) cDNA arrays and invasive cancer (P=0.05) Affymetrix arrays. RAN, located in the region of gain on 12q24.3, was overexpressed in CIN and invasive cancer.
CONCLUSIONS: Alignment of microarray expression data by chromosomes can be used to estimate regions of potential chromosomal aberration and identify differentially expressed genes important in the development of CIN and invasive cancer.

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Year:  2006        PMID: 16647105     DOI: 10.1016/j.ygyno.2006.03.020

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  5 in total

Review 1.  Human papillomavirus and cervical cancer: biomarkers for improved prevention efforts.

Authors:  Vikrant V Sahasrabuddhe; Patricia Luhn; Nicolas Wentzensen
Journal:  Future Microbiol       Date:  2011-09       Impact factor: 3.165

Review 2.  Integrative genomic approaches in cervical cancer: implications for molecular pathogenesis.

Authors:  Gopeshwar Narayan; Vundavalli V Murty
Journal:  Future Oncol       Date:  2010-10       Impact factor: 3.404

3.  Integrated genomic and transcriptional profiling identifies chromosomal loci with altered gene expression in cervical cancer.

Authors:  Saskia M Wilting; Jillian de Wilde; Chris J L M Meijer; Johannes Berkhof; Yajun Yi; Wessel N van Wieringen; Boudewijn J M Braakhuis; Gerrit A Meijer; Bauke Ylstra; Peter J F Snijders; Renske D M Steenbergen
Journal:  Genes Chromosomes Cancer       Date:  2008-10       Impact factor: 5.006

4.  Utero-vaginal aplasia (Mayer-Rokitansky-Küster-Hauser syndrome) associated with deletions in known DiGeorge or DiGeorge-like loci.

Authors:  Karine Morcel; Tanguy Watrin; Laurent Pasquier; Lucie Rochard; Cédric Le Caignec; Christèle Dubourg; Philippe Loget; Bernard-Jean Paniel; Sylvie Odent; Véronique David; Isabelle Pellerin; Claude Bendavid; Daniel Guerrier
Journal:  Orphanet J Rare Dis       Date:  2011-03-15       Impact factor: 4.123

Review 5.  Recent Advances on the Molecular Mechanism of Cervical Carcinogenesis Based on Systems Biology Technologies.

Authors:  Min Lin; Miaomiao Ye; Junhan Zhou; Z Peter Wang; Xueqiong Zhu
Journal:  Comput Struct Biotechnol J       Date:  2019-02-07       Impact factor: 7.271

  5 in total

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