| Title |
Integrative functional genetic-epigenetic approach for selecting genes as urine biomarkers for bladder cancer diagnosis
|
|---|---|
| Published in |
Tumor Biology, July 2015
|
| DOI | 10.1007/s13277-015-3722-6 |
| Pubmed ID | |
| Authors |
Sanaa Eissa, Marwa Matboli, Nada O. E. Essawy, Youssef M. Kotb |
| Abstract |
Early screening for bladder cancer (BC) holds the key to combat and control the increasing global burden of BC mortality. We presented a simple approach to characterize, analyze, and validate a panel of biomarkers in BC and their relationship to bilharziasis. We investigated voided urine and blood samples from patients with bladder cancer (n = 94), benign bladder lesions (n = 60), and age-matched normal controls (n = 56). This study was divided into the following phases. (1) We analyzed the expression of urinary Hyaluronoglucosaminidase 1 (HYAL1) protein in BC and control samples by zymography. (2) We performed bioinformatics analysis to retrieve a set of epigenetic regulators of HYAL1. (3) This set of three selected genes [long non-coding RNA-urothelial cancer associated 1(lncRNA-UCA1), microRNA-210, and microRNA-96] was then analyzed in the same urine samples used in phase I by quantitative real-time PCR. (4) A high reproducibility of gene selection results was also determined from statistical validation. The urinary expression of HYAL1 protein and its epigenetic regulators were higher in BC patients (P < .001). The receiver-operating characteristic curve analyses demonstrated that each one had good sensitivity and specificity for distinguishing BC patients from non-BC ones (HYAL1, 89.4 and 91.2 %; miR-210, 76.6 and 93 %; miR-96, 76.6 and 89.4 %; and lncRNA-UCA1, 91.5 and 96.5 %). There was a significant positive correlation between HYAL1 and the selected epigenetic biomarkers. The performance of this urine biomarker panel reached 100 % sensitivity and 89.5 % specificity for bladder cancer diagnosis. |
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 % |
|---|---|---|
| France | 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Lecturer | 4 | 9% |
| Researcher | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 11 | 26% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 28% |
| Medicine and Dentistry | 11 | 26% |
| Agricultural and Biological Sciences | 6 | 14% |
| Immunology and Microbiology | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 10 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 April 2020.
All research outputs
#4,605,628
of 22,816,807 outputs
Outputs from Tumor Biology
#137
of 2,622 outputs
Outputs of similar age
#57,969
of 262,956 outputs
Outputs of similar age from Tumor Biology
#8
of 168 outputs
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