| Title |
No association between TGF-β1 polymorphisms and risk of nasopharyngeal carcinoma in a large North African case-control study
|
|---|---|
| Published in |
BMC Medical Genomics, October 2016
|
| DOI | 10.1186/s12881-016-0337-8 |
| Pubmed ID | |
| Authors |
Wafa Khaali, Khalid Moumad, El Khalil Ben Driss, Abdellatif Benider, Wided Ben Ayoub, Mokhtar Hamdi-Cherif, Kada Boualga, Elham Hassen, Marilys Corbex, Meriem Khyatti |
| Abstract |
Genetic susceptibility plays a key role in the development of nasopharyngeal carcinoma (NPC) and in fact the disease presents with an unusually high incidence in certain regions of the world like North Africa. We investigated the association between polymorphism of the Transforming growth factor-β1 (TGF-β1) and risk of NPC in North Africa. TGF-β1 is a multifunctional cytokine that acts as both a tumor suppressor and a stimulator of cancer development; it has been shown to influence risk of numerous other carcinomas including lung, breast and prostate cancer. TGF-β1 polymorphisms C-509T and T869C were studied in a large North African sample of 384 NPC cases and 361 controls, matched for age, sex and urban or rural residence in childhood. Genotypes were determined using polymerase chain reaction-restriction fragment length polymorphism. No association was observed between individual single nucleotide polymorphisms or their haplotypes and NPC susceptibility (for TGF-β1 C-509T: OR = 0.74; 95 % CI 0.46 - 1.18; for TGF-β1 T869C: OR = 0.86; 95 % CI 0.56 - 1.31), even when the samples were stratified by age, gender and TNM stage. Contrary to what has been observed in Asian samples, in our North African sample, the TGF-β1 C-509T and T869C polymorphisms did not substantially influence NPC susceptibility. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Researcher | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Professor | 3 | 13% |
| Student > Bachelor | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Medicine and Dentistry | 4 | 17% |
| Agricultural and Biological Sciences | 2 | 8% |
| Nursing and Health Professions | 2 | 8% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 29% |
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 12 October 2016.
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#22,760,732
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Outputs from BMC Medical Genomics
#2,010
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#285,884
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Outputs of similar age from BMC Medical Genomics
#28
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