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Research Article

Feasibility and Relevance of Global Expression Profiling of Gene Transcripts in Serum from Breast Cancer Patients Using Whole Genome Microarrays and Quantitative RT-PCR

LORRAINE O'DRISCOLL, ELAINE KENNY, JAI PRAKASH MEHTA, PADRAIG DOOLAN, HELENA JOYCE, PATRICK GAMMELL, ARNOLD HILL, BRENDAN O'DALY, DONAL O'GORMAN and MARTIN CLYNES
Cancer Genomics & Proteomics March 2008, 5 (2) 95-104;
LORRAINE O'DRISCOLL
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  • For correspondence: Lorraine.ODriscoll@dcu.ie
ELAINE KENNY
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JAI PRAKASH MEHTA
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PADRAIG DOOLAN
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HELENA JOYCE
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PATRICK GAMMELL
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ARNOLD HILL
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BRENDAN O'DALY
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DONAL O'GORMAN
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MARTIN CLYNES
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Abstract

Background: Previous studies, by ourselves and others, have indicated that gene transcripts are detectable extracellularly. Advancing on this work, in order to investigate the feasibility of analysing global gene expression profiles and so the possibility in the future of identifying panels of circulating mRNA biomarkers that may be diagnostic, prognostic or predictive for cancer, here we performed the first whole genome microarray analysis of human serum. Patients and Methods: RNA was isolated from pre-surgery serum and corresponding breast tumour and normal tissue biopsies, and from post-surgery and normal control serum. Specimens were examined using Affymetrix whole genome microarrays and quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR). Results: Of the 54,675 mRNAs/variants analysed, approximately 8% and 45% were called Present in serum and breast tissue specimens, respectively. Differentially expressed genes were identified for each group of specimens analysed. Analysis, by qRT-PCR, of 3 selected transcripts further indicated that the nucleic acids detected were mRNA, not DNA. mRNAs are apparently present in serum and their global detection and identification can be successfully achieved using microarray technologies. Conclusion: The potential implication of this novel finding is that using microarrays it may be possible to identify a panel of extracellular mRNAs that are diagnostic, prognostic and/or predictive of outcome for cancer patients.

Keywords:
  • Breast cancer
  • extracellular RNA
  • serum
  • whole genome microarray
  • quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR)

Footnotes

  • ↵* Both authors contributed equally to this work.

    • Received October 26, 2007.
    • Revision received December 12, 2007.
    • Accepted January 8, 2008.
  • Copyright© 2008 International Institute of Anticaner Research (Dr. John G. Delinassios), All rights reserved
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Cancer Genomics - Proteomics: 5 (2)
Cancer Genomics & Proteomics
Vol. 5, Issue 2
March-April 2008
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Feasibility and Relevance of Global Expression Profiling of Gene Transcripts in Serum from Breast Cancer Patients Using Whole Genome Microarrays and Quantitative RT-PCR
LORRAINE O'DRISCOLL, ELAINE KENNY, JAI PRAKASH MEHTA, PADRAIG DOOLAN, HELENA JOYCE, PATRICK GAMMELL, ARNOLD HILL, BRENDAN O'DALY, DONAL O'GORMAN, MARTIN CLYNES
Cancer Genomics & Proteomics Mar 2008, 5 (2) 95-104;

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Feasibility and Relevance of Global Expression Profiling of Gene Transcripts in Serum from Breast Cancer Patients Using Whole Genome Microarrays and Quantitative RT-PCR
LORRAINE O'DRISCOLL, ELAINE KENNY, JAI PRAKASH MEHTA, PADRAIG DOOLAN, HELENA JOYCE, PATRICK GAMMELL, ARNOLD HILL, BRENDAN O'DALY, DONAL O'GORMAN, MARTIN CLYNES
Cancer Genomics & Proteomics Mar 2008, 5 (2) 95-104;
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