| Title |
Molecular characteristic of acute leukemias with t(16;21)/FUS-ERG
|
|---|---|
| Published in |
Annals of Hematology, February 2018
|
| DOI | 10.1007/s00277-018-3267-z |
| Pubmed ID | |
| Authors |
Elena Zerkalenkova, Agnesa Panfyorova, Anna Kazakova, Pavel Baryshev, Larisa Shelihova, Irina Kalinina, Galina Novichkova, Michael Maschan, Aleksey Maschan, Yulia Olshanskaya |
| Abstract |
T(16;21)(p11;q22)/FUS-ERG is a rare but recurrent translocation in acute leukemias and in some types of solid tumors. Due to multiple types of FUS-ERG transcripts, PCR-based minimal residual disease detection is impeded. In this study, we evaluated a cohort of pediatric patients with t(16;21)(p11;q22)/FUS-ERG and revealed fusion gene breakpoints. We implemented next-generation sequencing (NGS) on long PCR amplicons for the detection of fusion genes with unknown partners or DNA breakpoints. That allowed us to describe different fusion variants of FUS/ERG in different patients and to detect MRD on both RNA and DNA levels. We also found several accompanying mutations in epigenetic regulators (DNMT3A, ASXL1, BCOR) by targeted NGS approach in AML cases. These mutations preceded full transformation by t(16;21)(p11;q22)/FUS-ERG and allowed us to trace clonal evolution on all steps of therapy. As a casual observation, the ASXL1 mutation was found in the unrelated donor hematopoietic cells. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Other | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 27% |
| Biochemistry, Genetics and Molecular Biology | 11 | 24% |
| Immunology and Microbiology | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 17 | 38% |
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 28 April 2018.
All research outputs
#17,930,799
of 23,023,224 outputs
Outputs from Annals of Hematology
#1,398
of 2,200 outputs
Outputs of similar age
#311,743
of 442,600 outputs
Outputs of similar age from Annals of Hematology
#23
of 52 outputs
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