Disease Markers

Disease Markers / 2010 / Article

Open Access

Volume 28 |Article ID 130276 | https://doi.org/10.3233/DMA-2010-0683

Mahsa M. Amoli, Nasrin Yazdani, Parvin Amiri, Forogh Sayahzadeh, Vahid Haghpanah, Seyed Mohammad Tavangar, Ali Amirzargar, Hamidollah Ghaffari, Behrooz Nikbin, Bagher Larijani, Leila V. Mostaan, Javad Tavakkoly Bazzaz, "HLA-DR Association in Papillary Thyroid Carcinoma", Disease Markers, vol. 28, Article ID 130276, 5 pages, 2010. https://doi.org/10.3233/DMA-2010-0683

HLA-DR Association in Papillary Thyroid Carcinoma

Received12 Feb 2010
Accepted12 Feb 2010


Objective: Papillary thyroid carcinoma (PTC) is the most frequent types of thyroid malignancies. Several genes may be involved in susceptibility of thyroid cancer including Human Leukocyte Antigens (HLA). The association of thyroid carcinoma with HLA alleles has been previously studied in other populations and certain HLA alleles were shown to be either predisposing or protective. The aim of this study was to determine the association between HLA-DR and papillary thyroid carcinoma in an Iranian population.Design: HLA-DR antigen frequencies were determined in patients with papillary thyroid carcinoma (N = 70) and non-related healthy controls (N=180) using PCR -SSP.Main Outcome: We found that HLA-DRB1*04 frequency was significantly higher in our patients compared to the controls [P = 0.02, OR; 1.9, 95% CI (1.04–3.57)].Conclusions: Our results revealed HLA-DRB1*04 as predisposing factor in papillary thyroid carcinoma in Iranian population. This confirms the previous findings for associations between HLA-DRB1 and differentiated carcinomas in other populations.

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

 PDF Download Citation Citation
 Order printed copiesOrder

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.