| Title |
Telomere shortening, TP53 mutations and deletions in chronic lymphocytic leukemia result in increased chromosomal instability and breakpoint clustering in heterochromatic regions
|
|---|---|
| Published in |
Annals of Hematology, July 2017
|
| DOI | 10.1007/s00277-017-3055-1 |
| Pubmed ID | |
| Authors |
Kathrin Thomay, Caroline Fedder, Winfried Hofmann, Hans Kreipe, Michael Stadler, Jan Titgemeyer, Ingo Zander, Brigitte Schlegelberger, Gudrun Göhring |
| Abstract |
Complex karyotypes are associated with a poor prognosis in chronic lymphocytic leukemia (CLL). Using mFISH, iFISH, and T/C-FISH, we thoroughly characterized 59 CLL patients regarding parameters known to be involved in chromosomal instability: status of the genes ATM and TP53 and telomere length. Interestingly, a deletion of the ATM locus in 11q, independent of the cytogenetic context, was associated with significantly diminished risk (p<0.05) of carrying a mutation in TP53. In patients with loss or mutation of TP53, chromosomal breakage occurred more frequently (p<0.01) in (near-) heterochromatic regions. Median telomere length in patients with complex karyotypes was significantly shorter than that of healthy controls and shorter than in all other cytogenetic cohorts. Furthermore, the median telomere length of patients carrying a TP53 mutation was significantly shorter than without mutation. We conclude that telomere shortening in combination with loss of TP53 induces increased chromosomal instability with preferential involvement of (near-) heterochromatic regions. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 % |
|---|---|---|
| Student > Master | 5 | 24% |
| Student > Doctoral Student | 4 | 19% |
| Unspecified | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 33% |
| Medicine and Dentistry | 5 | 24% |
| Immunology and Microbiology | 1 | 5% |
| Unspecified | 1 | 5% |
| Unknown | 7 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 July 2017.
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#20,434,884
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Outputs from Annals of Hematology
#1,737
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#272,436
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Outputs of similar age from Annals of Hematology
#23
of 33 outputs
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