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Excessive centrosome abnormalities without ongoing numerical chromosome instability in a Burkitt's lymphoma

Overview of attention for article published in Molecular Cancer, September 2003
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Title
Excessive centrosome abnormalities without ongoing numerical chromosome instability in a Burkitt's lymphoma
Published in
Molecular Cancer, September 2003
DOI 10.1186/1476-4598-2-30
Pubmed ID
Authors

Stefan Duensing, Benjamin H Lee, Paola Dal Cin, Karl Münger

Abstract

Numerical and structural centrosome abnormalities are detected in various human malignancies and have been implicated in the formation of multipolar mitoses, chromosome missegregation, and chromosomal instability. Despite this association between centrosome abnormalities and cancerous growth, a causative role of centrosome aberrations in generating chromosomal instability and aneuploidy has not been universally established. We report here excessive numerical and structural centrosome abnormalities in a malignant Burkitt's lymphoma harboring the characteristic t(8;14) chromosomal translocation. Using conventional karyotyping and fluorescence in situ hybridization (FISH), we detected no signs of ongoing numerical chromosome instability, although the tumor displayed sporadic multipolar metaphases. These findings demonstrate that centrosome abnormalities are not a universal surrogate marker for chromosomal instability in malignant tumors. Moreover, our results suggest a model in which additional cellular alterations may be required to promote centrosome-related mitotic defects in tumor cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 4 19%
Researcher 4 19%
Student > Ph. D. Student 4 19%
Other 2 10%
Student > Doctoral Student 2 10%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 43%
Agricultural and Biological Sciences 5 24%
Medicine and Dentistry 3 14%
Environmental Science 1 5%
Unknown 3 14%