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Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples

Author

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  • Orsolya Galamb
  • Barnabás Wichmann
  • Ferenc Sipos
  • Sándor Spisák
  • Tibor Krenács
  • Kinga Tóth
  • Katalin Leiszter
  • Alexandra Kalmár
  • Zsolt Tulassay
  • Béla Molnár

Abstract

Background: The early molecular detection of the dysplasia-carcinoma transition may enhance the strength of diagnosis in the case of colonic biopsies. Our aims were to identify characteristic transcript sets in order to develop diagnostic mRNA expression patterns for objective classification of benign and malignant colorectal diseases and to test the classificatory power of these markers on an independent sample set. Methodology/Principal Findings: Colorectal cancer (CRC) and adenoma specific transcript sets were identified using HGU133plus2 microarrays and 53 biopsies (22 CRC, 20 adenoma and 11 normal). Ninety-four independent biopsies (27 CRC, 29 adenoma and 38 normal) were analyzed on microarrays for testing the classificatory power of the discriminatory genes. Array real-time PCR validation was done on 68 independent samples (24 CRC, 24 adenoma and 20 normal). A set of 11 transcripts (including CXCL1, CHI3L1 and GREM1) was determined which could correctly discriminate between high-grade dysplastic adenoma and CRC samples by 100% sensitivity and 88.9% specificity. The discriminatory power of the marker set was proved to be high on independent samples in both microarray and RT-PCR analyses. 95.6% of original and 94.1% of cross-validated samples was correctly classified in discriminant analysis. Conclusions/Significance: The identified transcripts could correctly characterize the dysplasia-carcinoma transition in biopsy samples, also on a large independent sample set. These markers can establish the basis of gene expression based diagnostic classification of colorectal cancer. Diagnostic RT-PCR cards can become part of the automated routine procedure.

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  • Orsolya Galamb & Barnabás Wichmann & Ferenc Sipos & Sándor Spisák & Tibor Krenács & Kinga Tóth & Katalin Leiszter & Alexandra Kalmár & Zsolt Tulassay & Béla Molnár, 2012. "Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-10, November.
  • Handle: RePEc:plo:pone00:0048547
    DOI: 10.1371/journal.pone.0048547
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    Cited by:

    1. Angela L. Riffo-Campos & Guillermo Ayala & Juan Domingo, 2021. "Ordering of Omics Features Using Beta Distributions on Montecarlo p -Values," Mathematics, MDPI, vol. 9(11), pages 1-18, June.
    2. Marine Pesson & Alain Volant & Arnaud Uguen & Kilian Trillet & Pierre De La Grange & Marc Aubry & Mélanie Daoulas & Michel Robaszkiewicz & Gérald Le Gac & Alain Morel & Brigitte Simon & Laurent Corcos, 2014. "A Gene Expression and Pre-mRNA Splicing Signature That Marks the Adenoma-Adenocarcinoma Progression in Colorectal Cancer," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-13, February.

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