| Title |
Role of transforming growth factor-β1 −509 C/T promoter polymorphism in gastric cancer in south Indian population
|
|---|---|
| Published in |
Tumor Biology, July 2011
|
| DOI | 10.1007/s13277-011-0208-z |
| Pubmed ID | |
| Authors |
Amar Chand Bhayal, B. Prabhakar, K. Pandu Ranga Rao, Anitha Penchikala, Qamar Ayesha, A. Jyothy, Pratibha Nallari, A. Venkateshwari |
| Abstract |
Gastric cancer is a multifactorial disease with the involvement of both genetic and environmental risk factors. Genetic variation in genes encoding cytokines and their receptors determine the intensity of the inflammatory response, which may contribute to individual differences in the outcome and severity of the disease. Transforming growth factor (TGF-β) signaling pathway plays an important role in the genesis and progression of tumors through regulating cell proliferation and differentiation. A hospital-based case-control study was conducted to investigate whether TGF-β1 -509 C/T polymorphism can modify the risk of gastric cancer. Seventy endoscopically and histopathologically confirmed gastric cancer patients and 100 age and sex-matched healthy controls were enrolled in the case-control study. TGF-β1 -509 C/T gene polymorphism was carried out by amplification refractory mutation system polymerase chain reaction (ARMS-PCR) method followed by agarose gel electrophoresis. Statistical analysis was applied to test for the significance of the results. The distribution of TGF-β1 genotypes at -509 C/T were CC 37.14%, CT 50%, and TT 12.86% in gastric cancer patients and CC 52%, CT 42%, and TT 6% in control subjects. The allelic frequencies of C and T were 0.621 and 0.379 in gastric cancer patients and 0.73 and 0.27 in control subjects, respectively. Our study imply that T allele of TGF-β1 -509 C/T genotypes may be a risk factor of genetic susceptibility to gastric cancer in south Indian population. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Researcher | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Professor > Associate Professor | 3 | 13% |
| Student > Master | 3 | 13% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 26% |
| Medicine and Dentistry | 5 | 22% |
| Chemistry | 2 | 9% |
| Immunology and Microbiology | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 5 | 22% |
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 05 October 2011.
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#18,297,449
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Outputs from Tumor Biology
#1,367
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Outputs of similar age
#97,773
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Outputs of similar age from Tumor Biology
#7
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