Literature DB >> 15876354

Gene expression profile of cervical tissue compared to exfoliated cells: impact on biomarker discovery.

Martin Steinau1, Daisy R Lee, Mangalathu S Rajeevan, Suzanne D Vernon, Mack T Ruffin, Elizabeth R Unger.   

Abstract

BACKGROUND: Exfoliated cervical cells are used in cytology-based cancer screening and may also be a source for molecular biomarkers indicative of neoplastic changes in the underlying tissue. However, because of keratinization and terminal differentiation it is not clear that these cells have an mRNA profile representative of cervical tissue, and that the profile can distinguish the lesions targeted for early detection.
RESULTS: We used whole genome microarrays (25,353 unique genes) to compare the transcription profiles from seven samples of normal exfoliated cells and one cervical tissue. We detected 10,158 genes in exfoliated cells, 14,544 in the tissue and 7320 genes in both samples. For both sample types the genes grouped into the same major gene ontology (GO) categories in the same order, with exfoliated cells, having on average 20% fewer genes in each category. We also compared microarray results of samples from women with cervical intraepithelial neoplasia grade 3 (CIN3, n = 15) to those from age and race matched women without significant abnormalities (CIN1, CIN0; n = 15). We used three microarray-adapted statistical packages to identify differential gene expression. The six genes identified in common were two to four fold upregulated in CIN3 samples. One of these genes, the ubiquitin-conjugating enzyme E2 variant 1, participates in the degradation of p53 through interaction with the oncogenic HPV E6 protein.
CONCLUSION: The findings encourage further exploration of gene expression using exfoliated cells to identify and validate applicable biomarkers. We conclude that the gene expression profile of exfoliated cervical cells partially represents that of tissue and is complex enough to provide potential differentiation between disease and non-disease.

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Year:  2005        PMID: 15876354      PMCID: PMC1164412          DOI: 10.1186/1471-2164-6-64

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  15 in total

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4.  Molecular quality of exfoliated cervical cells: implications for molecular epidemiology and biomarker discovery.

Authors:  Angelique H Habis; Suzanne D Vernon; Daisy R Lee; Mukesh Verma; Elizabeth R Unger
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-03       Impact factor: 4.254

5.  Gene expression profiling of dysplastic differentiation in cervical epithelial cells harboring human papillomavirus 16.

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9.  Gene-environment interaction signatures by quantitative mRNA profiling in exfoliated buccal mucosal cells.

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  7 in total

1.  DNA and RNA references for qRT-PCR assays in exfoliated cervical cells.

Authors:  Martin Steinau; Mangalathu S Rajeevan; Elizabeth R Unger
Journal:  J Mol Diagn       Date:  2006-02       Impact factor: 5.568

2.  DNA methylation profile at the DNMT3L promoter: a potential biomarker for cervical cancer.

Authors:  Gopinathan Gokul; Bhimana Gautami; Surapaneni Malathi; A Pavani Sowjanya; Usha Rani Poli; Meenakshi Jain; Gayatri Ramakrishna; Sanjeev Khosla
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3.  Gene expression changes during HPV-mediated carcinogenesis: a comparison between an in vitro cell model and cervical cancer.

Authors:  Fang Wan; Xijiang Miao; Iram Quraishi; Valerie Kennedy; Kim E Creek; Lucia Pirisi
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Journal:  J Biomed Biotechnol       Date:  2011-10-27

5.  Individualized markers optimize class prediction of microarray data.

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6.  c-myc copy number gain is a powerful prognosticator of disease outcome in cervical dysplasia.

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Journal:  Oncotarget       Date:  2015-01-20

7.  Comprehensive serial analysis of gene expression of the cervical transcriptome.

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Journal:  BMC Genomics       Date:  2007-06-01       Impact factor: 3.969

  7 in total

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