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Relevance of HLA-DP/DQ and ICAM-1 SNPs among Ovarian Cancer Patients

Overview of attention for article published in Frontiers in immunology, May 2016
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Title
Relevance of HLA-DP/DQ and ICAM-1 SNPs among Ovarian Cancer Patients
Published in
Frontiers in immunology, May 2016
DOI 10.3389/fimmu.2016.00202
Pubmed ID
Authors

Amany A. Ghazy, Nour M. El-Etreby

Abstract

Ovarian cancer is one of the most lethal gynecological malignancies and the fifth leading cause of cancer deaths among women. The high mortality rate is largely attributed to its diagnosis in advanced stages. Poor prognosis of ovarian cancer is usually due to the lack of specific or effective screening and diagnostic methods for identifying early-stage disease. Our study aimed to study the role of HLA-DP, HLA-DQ, and ICAM-1 SNPs in diagnosis and/or prognosis of ovarian tumors. The current study was conducted on 60 patients with ovarian tumors (benign, borderline, and malignant) and 20 healthy volunteers. Genotyping of HLA-DP rs3077, HLA-DQ rs3920, and ICAM-1 rs1437 SNPs was done using 5' nuclease assay. We found significant association of HLA-DP rs3077 AA, HLA-DQ rs3920 GG, ICAM-1 rs1437 CC, and CT genotypes with increased risk of ovarian cancer (OR = 43.5, 6, 25, and 2.6, respectively). In addition, HLA-DQ rs3920 and ICAM-1 rs1437 alleles vary significantly among different types of ovarian cancer (P = 0.003 and 0.001, respectively). HLA-DP rs3077, HLA-DQ rs3920, and ICAM-1 rs1437 SNPs could help in the diagnosis and prognosis of ovarian cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Professor > Associate Professor 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Immunology and Microbiology 1 9%
Sports and Recreations 1 9%
Social Sciences 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 5 45%
Attention Score in Context

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 24 May 2016.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Frontiers in immunology
#27,421
of 31,520 outputs
Outputs of similar age
#304,638
of 348,779 outputs
Outputs of similar age from Frontiers in immunology
#124
of 136 outputs
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