| Title |
Clinical impact of circulating microRNAs as blood-based marker in childhood acute lymphoblastic leukemia
|
|---|---|
| Published in |
Tumor Biology, February 2016
|
| DOI | 10.1007/s13277-016-4948-7 |
| Pubmed ID | |
| Authors |
Menha Swellam, Nashwa El-Khazragy |
| Abstract |
Aberrant microRNA (miRNA) expression participates in childhood acute lymphoblastic leukemia (ALL). This study aimed to investigate the expression of miRNA-100, miRNA-196a, and miRNA-146a among childhood ALL and study their correlation with other hematological parameters and different phenotypes. Peripheral blood mononuclear cells (PMNCs) were obtained from 85 childhood ALL and 25 healthy children for the detection of miRNA expression using quantitative real-time PCR. Significant higher median levels were reported for ALL compared to control children. The diagnostic efficacy for miRNA-146a was superior as both sensitivity and specificity were absolute. A significant correlation was observed between higher expression of miRNA-100 and lower platelet and lymphocyte counts; high expression of miRNA-146a showed significant correlation with low total leukocyte count (TLC) and lymphocyte counts. Significant relation was reported between studied miRNAs and different phenotyping. miRNA-100, miRNA-196a, and miRNA-146a have significant role in childhood ALL leukemogenesis, and they may be useful as biological diagnostic molecular markers. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 15% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 5 | 11% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 9 | 19% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 26% |
| Medicine and Dentistry | 8 | 17% |
| Agricultural and Biological Sciences | 4 | 9% |
| Nursing and Health Professions | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 18 | 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 11 February 2016.
All research outputs
#20,305,223
of 22,844,985 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#336,950
of 400,364 outputs
Outputs of similar age from Tumor Biology
#122
of 182 outputs
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