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BioMed Research International
Volume 2014 (2014), Article ID 434072, 7 pages
Research Article

Evaluation and Integration of Genetic Signature for Prediction Risk of Nasopharyngeal Carcinoma in Southern China

1Key Laboratory of Laboratory Medicine, School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou 325000, China
2State Key Laboratory for Infectious Diseases Prevention and Control, Institute for Viral Disease Control and Prevention, Chinese CDC, Beijing 10052, China
3ICF International, Atlanta, GA 30329, USA
4Basic Research Laboratory, Frederick National Laboratory, Leidos Biomedical Research, Inc., National Cancer Institute, Frederick, MD 21702, USA
5Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg 199004, Russia
6College of Life Science and Bio-Engineering, Beijing University of Technology, Beijing 100022, China
7Cancer Center, Wuzhou Red Cross Hospital, Guangxi 543002, China
8Cangwu Institute for Nasopharyngeal Carcinoma Control and Prevention, Wuzhou, Guangxi 543100, China
9Institut Pasteur, 75724 Paris, France

Received 18 February 2014; Accepted 30 June 2014; Published 10 August 2014

Academic Editor: Urszula Demkow

Copyright © 2014 Xiuchan Guo et al. 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.


Genetic factors, as well as environmental factors, play a role in development of nasopharyngeal carcinoma (NPC). A number of single nucleotide polymorphisms (SNPs) have been reported to be associated with NPC. To confirm these genetic associations with NPC, two independent case-control studies from Southern China comprising 1166 NPC cases and 2340 controls were conducted. Seven SNPs in ITGA9 at 3p21.3 and 9 SNPs within the 6p21.3 HLA region were genotyped. To explore the potential clinical application of these genetic markers in NPC, we further evaluate the predictive/diagnostic role of significant SNPs by calculating the area under the curve (AUC). Results. The reported associations between ITGA9 variants and NPC were not replicated. Multiple loci of GABBR1, HLA-F, HLA-A, and HCG9 were statistically significant in both cohorts ( range from 5.96 × 10−17 to 0.02). We show for the first time that these factors influence NPC development independent of environmental risk factors. This study also indicated that the SNP alone cannot serve as a predictive/diagnostic marker for NPC. Integrating the most significant SNP with IgA antibodies status to EBV, which is presently used as screening/diagnostic marker for NPC in Chinese populations, did not improve the AUC estimate for diagnosis of NPC.