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Clinical Chemistry and Laboratory Medicine (CCLM)

Published in Association with the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)

Editor-in-Chief: Plebani, Mario

Ed. by Gillery, Philippe / Greaves, Ronda / Lackner, Karl J. / Lippi, Giuseppe / Melichar, Bohuslav / Payne, Deborah A. / Schlattmann, Peter


IMPACT FACTOR 2017: 3.556

CiteScore 2017: 2.34

SCImago Journal Rank (SJR) 2017: 1.114
Source Normalized Impact per Paper (SNIP) 2017: 1.188

Online
ISSN
1437-4331
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Volume 42, Issue 6

Issues

Rapid generation of detailed loss of heterozygosity profiles for routine diagnosis of gliomas

Christian Beetz / Armin Hartmann / Michael Kiehntopf / Stefan Wölfl / Rolf Kalff / Thomas Deufel / Stephan Patt
Published Online: 2005-06-01 | DOI: https://doi.org/10.1515/CCLM.2004.103

Abstract

Aberrations in the genomes of gliomas seem to correlate well with clinical parameters. Pertinent studies, however, rely on highly sophisticated methods, they require large amounts of high-quality sample material and/or they demand profound analytical expertise. Consequently, molecular tumour analysis has not yet been widely implemented in routine laboratory applications. We have developed an easy-to-perform approach for the rapid derivation of a detailed lossof-heterozygosity profile from individual gliomas. DNA of PCR quality is extracted in a one-step procedure from routinely obtained material. A microsatellite-based marker set is used to detect the deletion status of genomic regions (i) with established diagnostic relevance, (ii) recurrently found deleted in gliomas, or (iii) generally associated with tumour suppressor activity. The complete profile comprises 25 regions and is generated from 64 markers multiplexed into 18 reactions. Illustratively, we present findings from an anaplastic oligodendroglioma; the molecular data for this tumour allow refined diagnostic and prognostic statements that could not be derived from histology alone. Our approach should prove useful in the routine diagnosis of gliomas. Simultaneously, research data for many highly relevant regions are generated in a comparatively simple and inexpensive way.

About the article

Published Online: 2005-06-01

Published in Print: 2004-06-07


Citation Information: Clinical Chemistry and Laboratory Medicine (CCLM), Volume 42, Issue 6, Pages 595–601, ISSN (Online) 1437-4331, ISSN (Print) 1434-6621, DOI: https://doi.org/10.1515/CCLM.2004.103.

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[3]
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