| Title |
Association of SNPs/haplotypes in promoter of TNF A and IL-10 gene together with life style factors in prostate cancer progression in Indian population
|
|---|---|
| Published in |
Inflammation Research, October 2017
|
| DOI | 10.1007/s00011-017-1088-5 |
| Pubmed ID | |
| Authors |
Kapil Bandil, Pallavi Singhal, Atika Dogra, Sudhir K. Rawal, D. C. Doval, Anil K. Varshney, Mausumi Bharadwaj |
| Abstract |
Levels of proinflammatory (TNF A) and anti-inflammatory (IL-10) cytokines play a key role in the progression of inflammation as well as cancer disease. We were investigating the potential association of single-nucleotide polymorphisms (SNPs)/haplotypes in proinflammatory (TNF A) and anti-inflammatory (IL-10) cytokines locus with the development of PCa in Indian population. We had genotyped 235 BPH/PCa samples (130 BPH and 105 cancer) along with 115 control samples for proinflammatory (TNF A -238G/A and -308G/A) and anti-inflammatory (IL-10 -1082A/G, -819C/T and -592C/A) cytokines SNPs in the gene promoter region using ARMS-PCR method. Allelic frequencies of TNF A and IL-10 SNPs were found to be significantly associated with the risk of prostate cancer and BPH when compared to controls (p = 0.05). Further haplotypic analysis showed that two haplotypes of TNF A (AG and AA) and IL-10 gene (CCG and CTG) were serving as risk haplotypes for prostate cancer development. IL-10 risk haplotypes were found to be positively associated with aggressiveness of prostate cancer. We also noticed successively increasing percentage of TNF A and IL-10 risk haplotypes with life style habits like smoking (10 and 26%) and alcohol consuming (9 and 27%). According to our data, TNF A -238G>A and IL-10 -1082A>G, -819C>T and -592C>A may be associated with the development of prostate cancer and BPH. We could also notice higher frequency of TNF A and IL-10 risk haplotypes in smoker and alcohol user. Interestingly, IL-10 risk haplotype was positively associated with aggressiveness of tumor. This information can be used for the early diagnosis of disease and to improve tissue-specific treatment's efficacy which will be moving ultimately towards the discovery of personalized therapy. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Researcher | 2 | 9% |
| Professor | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 9 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Unspecified | 3 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
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 11 October 2017.
All research outputs
#18,573,839
of 23,005,189 outputs
Outputs from Inflammation Research
#702
of 961 outputs
Outputs of similar age
#248,560
of 324,598 outputs
Outputs of similar age from Inflammation Research
#6
of 10 outputs
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