Literature DB >> 15757864

Distinction in gene expression profiles demonstrated in parathyroid adenomas by high-density oligoarray technology.

Lars Forsberg1, Erik Björck, Jamileh Hashemi, Jan Zedenius, Anders Höög, Lars-Ove Farnebo, Mark Reimers, Catharina Larsson.   

Abstract

OBJECTIVES: Somatic deletion of chromosome 11q13 is the most frequent genetic aberration in parathyroid adenoma. To gain further insight into the genetic etiology of parathyroid tumor development, we examined a comprehensive gene expression profile of parathyroid adenomas and normal parathyroid tissues. The results were then evaluated with respect to differences between adenomas and normal parathyroid tissue, and to the presence of loss of heterozygosity (LOH) in chromosomal region 11q13. DESIGN AND METHODS: Sporadic parathyroid adenomas and normal parathyroids were hybridized against HG-U95Av2 oligonucleotide arrays (Affymetrix) containing a total of 12,625 probe sets. Quantitative real-time PCR (QRT-PCR) was performed in a larger series of parathyroid adenomas, in order to con-firm the microarray results.
RESULTS: Cyclin D1 and c-Jun showed increased expression in adenomas vs normal parathyroids by microarray analysis and QRT-PCR, suggesting an oncogenic role of these genes in parathyroid tumor development. At unsupervised hierarchical clustering, the adenomas fell into two groups: Group I adenomas were characterized by 11q13 LOH, while Group II adenomas lacked this abnormality. In addition, a t-test analysis identified largely non-overlapping genes with differential expression in the tumors subgroups; e.g. in Group I tumors the putative oncogene ENC 1 was found highly over-expressed vs Group II adenomas.
CONCLUSIONS: The microarray analyses revealed partly distinctive and partly common expression profiles in parathyroid adenomas with and without 11q13 LOH. In addition, approximately half of the under-expressed genes were mapped to chromosome 11, in agreement with a dose effect following loss of this chromosome.

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Year:  2005        PMID: 15757864     DOI: 10.1530/eje.1.01864

Source DB:  PubMed          Journal:  Eur J Endocrinol        ISSN: 0804-4643            Impact factor:   6.664


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Authors:  Luqman Sulaiman; Inga-Lena Nilsson; C Christofer Juhlin; Felix Haglund; Anders Höög; Catharina Larsson; Jamileh Hashemi
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  8 in total

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