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Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples

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 beni...

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Autores principales: Galamb, Orsolya, Wichmann, Barnabás, Sipos, Ferenc, Spisák, Sándor, Krenács, Tibor, Tóth, Kinga, Leiszter, Katalin, Kalmár, Alexandra, Tulassay, Zsolt, Molnár, Béla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3498283/
https://www.ncbi.nlm.nih.gov/pubmed/23155391
http://dx.doi.org/10.1371/journal.pone.0048547
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author Galamb, Orsolya
Wichmann, Barnabás
Sipos, Ferenc
Spisák, Sándor
Krenács, Tibor
Tóth, Kinga
Leiszter, Katalin
Kalmár, Alexandra
Tulassay, Zsolt
Molnár, Béla
author_facet Galamb, Orsolya
Wichmann, Barnabás
Sipos, Ferenc
Spisák, Sándor
Krenács, Tibor
Tóth, Kinga
Leiszter, Katalin
Kalmár, Alexandra
Tulassay, Zsolt
Molnár, Béla
author_sort Galamb, Orsolya
collection PubMed
description 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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spelling pubmed-34982832012-11-15 Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples Galamb, Orsolya Wichmann, Barnabás Sipos, Ferenc Spisák, Sándor Krenács, Tibor Tóth, Kinga Leiszter, Katalin Kalmár, Alexandra Tulassay, Zsolt Molnár, Béla PLoS One Research Article 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. Public Library of Science 2012-11-14 /pmc/articles/PMC3498283/ /pubmed/23155391 http://dx.doi.org/10.1371/journal.pone.0048547 Text en © 2012 Galamb et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Galamb, Orsolya
Wichmann, Barnabás
Sipos, Ferenc
Spisák, Sándor
Krenács, Tibor
Tóth, Kinga
Leiszter, Katalin
Kalmár, Alexandra
Tulassay, Zsolt
Molnár, Béla
Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples
title Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples
title_full Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples
title_fullStr Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples
title_full_unstemmed Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples
title_short Dysplasia-Carcinoma Transition Specific Transcripts in Colonic Biopsy Samples
title_sort dysplasia-carcinoma transition specific transcripts in colonic biopsy samples
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3498283/
https://www.ncbi.nlm.nih.gov/pubmed/23155391
http://dx.doi.org/10.1371/journal.pone.0048547
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