Literature DB >> 12533833

High-throughput tissue microarray analysis of G1-cyclin alterations in classical Hodgkin's lymphoma indicates overexpression of cyclin E1.

Alexandar Tzankov1, Annette Zimpfer, Alessandro Lugli, Jens Krugmann, Philip Went, Peter Schraml, Robert Maurer, Stefano Ascani, Stefano Pileri, Stephan Geley, Stephan Dirnhofer.   

Abstract

Deregulation of G1-cyclins (CCN) plays a key role in the pathogenesis of many human malignancies, including non-Hodgkin's lymphomas (NHLs). In contrast to NHL, little is known about phenotypic and genotypic changes in the regulation of the cell cycle in classical Hodgkin's lymphoma (cHL). To facilitate analysis of aberrant gene expression in cHL, a lymphoma tissue microarray (TMA) containing 752 cores of 330 different cHL samples was constructed. Direct comparison of Epstein-Barr virus (EBV) latent membrane protein 1 (LMP-1) expression in Hodgkin's and Reed-Sternberg (HRS) cells on conventional full sections with the corresponding duplicate/triplicate tumour cores on the TMA showed a concordance of 100%, indicating that cHL-TMA is a reliable and representative method for evaluating gene expression profiles in situ. Using TMA technology, protein expression and gene amplification of different G1-CCNs in cHL were analysed. Among the G1-CCNs analysed, cyclin E (CCNE) was expressed in 212/253 cases (84%). In most of the individual tumours, over 75% of the HRS cells stained positive for CCNE, suggesting that CCNE is overexpressed in cHL. This overexpression was not due to CCNE gene amplification, as judged by fluorescence in situ hybridization, and did not correlate with EBV infection, as assessed by the expression of LMP-1. Thus, the overexpression of CCNE could be caused by profound changes in HRS cell-cycle regulation that could contribute to the malignant phenotype. Copyright 2003 John Wiley & Sons, Ltd.

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Year:  2003        PMID: 12533833     DOI: 10.1002/path.1279

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  8 in total

1.  Advances in cancer tissue microarray technology: Towards improved understanding and diagnostics.

Authors:  Wenjin Chen; David J Foran
Journal:  Anal Chim Acta       Date:  2006-01-23       Impact factor: 6.558

2.  Mast cells and Th17 cells contribute to the lymphoma-associated pro-inflammatory microenvironment of angioimmunoblastic T-cell lymphoma.

Authors:  Claudio Tripodo; Giorgia Gri; Pier Paolo Piccaluga; Barbara Frossi; Carla Guarnotta; Silvia Piconese; Giovanni Franco; Valeria Vetri; Carlo Ennio Pucillo; Ada Maria Florena; Mario Paolo Colombo; Stefano Aldo Pileri
Journal:  Am J Pathol       Date:  2010-07-01       Impact factor: 4.307

3.  Tissue microarray technique is applicable to bone marrow biopsies of myeloproliferative neoplasms.

Authors:  Kathrin A Limberger; Lioudmila Bogatyreva; Rumyana Todorova; Bettina Herde; Dieter Hauschke; Heike L Pahl; Martin Werner; Konrad Aumann
Journal:  Histochem Cell Biol       Date:  2016-08-20       Impact factor: 4.304

4.  Tissue microarray for high-throughput analysis of gene expression profiles in hepatocellular carcinoma.

Authors:  Kai Liu; Xue-Zhong Lei; Lian-San Zhao; Hong Tang; Li Liu; Ping Feng; Bing-Jun Lei
Journal:  World J Gastroenterol       Date:  2005-03-07       Impact factor: 5.742

5.  Construction and validation of a bone marrow tissue microarray.

Authors:  Annette Zimpfer; Sharon Schönberg; Alessandro Lugli; Claudio Agostinelli; Stefano A Pileri; Philip Went; Stephan Dirnhofer
Journal:  J Clin Pathol       Date:  2006-05-12       Impact factor: 3.411

6.  Prognostic significance of CD44 expression in diffuse large B cell lymphoma of activated and germinal centre B cell-like types: a tissue microarray analysis of 90 cases.

Authors:  A Tzankov; A-C Pehrs; A Zimpfer; S Ascani; A Lugli; S Pileri; S Dirnhofer
Journal:  J Clin Pathol       Date:  2003-10       Impact factor: 3.411

7.  Prognostic Significance of in situ Phenotypic Marker Expression in Diffuse Large B-cell Lymphomas.

Authors:  Alexandar Tzankov; Philip Went; Stephan Dirnhofer
Journal:  Biomark Insights       Date:  2007-11-11

Review 8.  Tissue microarrays for high-throughput molecular pathology.

Authors:  Khawla Al Kuraya; Ronald Simon; Guido Sauter
Journal:  Ann Saudi Med       Date:  2004 May-Jun       Impact factor: 1.526

  8 in total

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