| Title |
HLA-A*02-B*46 haplotype: an adverse prognostic factor in Han patients with nasopharyngeal carcinoma
|
|---|---|
| Published in |
Current Medical Science, October 2016
|
| DOI | 10.1007/s11596-016-1647-y |
| Pubmed ID | |
| Authors |
Ruo-zheng Wang, Dian-gang Zhang, Ran Wu, Yun-hui Hu, Yan-chun Peng, Cheng Chang, Tao Dong, Xi-yan Wang |
| Abstract |
Epidemiological studies have shown that human leukocyte antigen (HLA) allelic polymorphisms are closely correlated to susceptibility to nasopharyngeal carcinoma (NPC), and in a previous study, we showed that HLA-B*46 and HLA-A*02-B*46 haplotypes were strongly associated with NPC susceptibility. In this retrospective study, we investigated the phenotype of the HLA-A and HLA-B alleles and haplotypes and correlated these data to the clinical and pathological parameters of NPC to understand the role of HLA alleles and haplotypes in NPC prognosis. The cohort comprised 117 NPC patients from a Han population in Xinjiang. The local recurrence-free survival (LRFS), distant metastasis- free survival (DMFS), disease-free survival (DFS), and overall survival (OS) were analyzed. The 5-year DMFS of the HLA-A*02-B*46 haplotype carriers and non-carriers was 66.4% and 90.3%, respectively. In addition, age was found to be a prognostic factor for LRFS, DFS, and OS (P=0.032, 0.040, and 0.013, respectively). We found that the HLA-A*02-B*46 haplotype might be a prognostic marker in addition to the traditional TNM staging in patients with NPC. |
X Demographics
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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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Professor | 1 | 13% |
| Unspecified | 1 | 13% |
| Researcher | 1 | 13% |
| Student > Postgraduate | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 50% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Unspecified | 1 | 13% |
| Unknown | 2 | 25% |
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 01 April 2017.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Current Medical Science
#312
of 719 outputs
Outputs of similar age
#209,644
of 324,026 outputs
Outputs of similar age from Current Medical Science
#2
of 6 outputs
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