Association of a miR-502-Binding Site Single Nucleotide Polymorphism in the 3'-Untranslated Region of SET8 and the TP53 Codon 72 Polymorphism with Cervical Cancer in the Chinese Population

Yang, Shaodi; Cai, Yao; Jiang, Pei; Li, Wen; Tang, Jianxin

doi:10.7314/apjcp.2014.15.16.6505

Cited by 14 publications

(10 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The missense variant of TP53 c.215C > G, corresponding to codon P72R, is the most studied SNV among the cardiovascular, endocrine, gastrointestinal and genetic categories. In a Chinese study in 323 cervical cancer patients and 568 normal samples, it was found that the CG genotype is a risk factor for the development of cervical cancer (p = 0.02) [29], and another study found that the genotype GG is associated with cervical cancer [30]. Despite that, this TP53 variant was not found to be associated with 43 squamous cell carcinoma (SCC) and 67 cervical intraepithelial neoplasia (CIN) samples in another study [24].…”

Section: Variant Profiles Of Biomarkersmentioning

confidence: 99%

Putative biomarkers for cervical cancer: SNVs, methylation and expression profiles

Cardoso

Castelletti

Lima-Filho

et al. 2017

Mutation Research/Reviews in Mutation Research

View full text Add to dashboard Cite

Cervical cancer is primarily caused by Human papillomavirus (HPV) infection, but other factors such as smoking habits, co-infections and genetic background, can also contribute to its development. Although this cancer is avoidable, it is the fourth most frequent type of cancer in females worldwide and can only be treated with chemotherapy and radical surgery. There is a need for biomarkers that will enable early diagnosis and targeted therapy for this type of cancer. Therefore, a systems biology pipeline was applied in order to identify potential biomarkers for cervical cancer, which show significant reports in three molecular aspects: DNA sequence variants, DNA methylation pattern and alterations in mRNA/protein expression levels. CDH1, CDKN2A, RB1 and TP53 genes were selected as putative biomarkers, being involved in metastasis, cell cycle regulation and tumour suppression. Other ten genes (CDH13, FHIT, PTEN, MLH1, TP73, CDKN1A, CACNA2D2, TERT, WIF1, APC) seemed to play a role in cervical cancer, but the lack of studies prevented their inclusion as possible biomarkers. Our results highlight the importance of these genes. However, further studies should be performed to elucidate the impact of DNA sequence variants and/or epigenetic deregulation and altered expression of these genes in cervical carcinogenesis and their potential as biomarkers for cervical cancer diagnosis and prognosis.

show abstract

Section: Variant Profiles Of Biomarkersmentioning

confidence: 99%

Putative biomarkers for cervical cancer: SNVs, methylation and expression profiles

Cardoso

Castelletti

Lima-Filho

et al. 2017

Mutation Research/Reviews in Mutation Research

View full text Add to dashboard Cite

show abstract

“…This SNP was subsequently shown by others to be a susceptibility factor for a number of cancers, including non-small cell lung cancer [23], epithelial ovarian cancer [24], childhood acute lymphoblastic leukemia [25], and cervical cancer [26]. This broad spectrum of association suggests that this SNP is a robust genetic regulatory factor fundamental to cells.…”

Section: Introductionmentioning

confidence: 99%

A functional single nucleotide polymorphism of SET8 is prognostic for breast cancer

et al. 2016

View full text Add to dashboard Cite

A single-nucleotide polymorphism (SNP) locus rs16917496 (T > C) within the 3′-untranslated region (3′-UTR) of SET8 was associated with susceptibility in several malignancies including breast cancer. To further elucidate the prognostic relevance of this SNP in breast cancer, we conducted a clinical study as well as SET8 expression analysis in a cohort of 1,190 breast cancer patients. We demonstrated the expression levels of SET8 in TT genotype were higher than in CC genotypes, and high levels of SET8 were associated with poor survival. SET8 expression was significantly higher in breast tumor tissue than in paired adjacent normal tissue. In addition, survival analysis in 315 patients showed SNP rs16917496 was an independent prognostic factor of breast cancer outcome with TT genotype associated with poor survival compared with CC/CT genotypes. Thus, this SNP may serve as a genetic prognostic factor and a treatment target for breast cancer. Future studies are warranted.

show abstract

“…Finally, 13 studies involving 2866 patients and 3012 controls were included in our meta-analysis [ 23 , 31–42 ]. All of the subjects in these thirteen studies were from Asian countries, including nine case–control studies involving 2212 cases and 2314 controls conducted in Chinese populations [ 23 , 31–35 , 37 , 38 , 41 ], and four case–control studies involving 654 cases and 698 controls conducted in Iranian populations [ 36 , 39 , 40 , 42 ]. Population-based controls were used in seven studies [ 23 , 31–33 , 35–37 ] and hospital-based controls were used in six studies [ 34 , 38–42 ].…”

Section: Resultsmentioning

confidence: 99%

The association between rs16917496 T/C polymorphism ofSET8gene and cancer risk in Asian populations: a meta-analysis

et al. 2018

View full text Add to dashboard Cite

Epidemiological studies have demonstrated close associations between SET8 rs16917496 T/C polymorphism and cancer risk, but the results of published studies were not consistent. We therefore performed this meta-analysis to explore the associations between rs16917496 T/C polymorphism and cancer risk. Five online databases were searched. Odds ratios (ORs) with a 95% confidence interval (CI) were calculated to assess the association between rs16917496 T/C polymorphism and cancer risk. In addition, heterogeneity, accumulative, sensitivity analysis, and publication bias were conducted to check the statistical power. Overall, 13 publications involving 5878 subjects were identified according to included criteria. No significant cancer risk was observed in genetic model of SET8 rs16917496 T/C polymorphism in Asian populations (C vs. T: OR = 1.04, 95%CI = 0.88–1.23, P = 0.63%; TC vs. TT: OR = 1.17, 95%CI = 0.96–1.24, P = 0.11%; CC vs. TT: OR = 0.90, 95%CI = 0.60–1.37, P = 0.63; TC+CC vs. TT: OR = 1.11, 95%CI = 0.90–1.38, P = 0.33; CC vs. TT+TC: OR = 0.92, 95%CI = 0.65–1.30, P = 0.63). Furthermore, similar associations were found in the subgroup analysis of race diversity, control design, genotyping methods, and different cancer types. In summary, our meta-analysis indicated that the SET8 rs16917496 T/C polymorphism may not play a critical role in cancer development in Asian populations.

show abstract

Association of a miR-502-Binding Site Single Nucleotide Polymorphism in the 3'-Untranslated Region of SET8 and the TP53 Codon 72 Polymorphism with Cervical Cancer in the Chinese Population

Cited by 14 publications

References 35 publications

Putative biomarkers for cervical cancer: SNVs, methylation and expression profiles

Putative biomarkers for cervical cancer: SNVs, methylation and expression profiles

A functional single nucleotide polymorphism of SET8 is prognostic for breast cancer

The association between rs16917496 T/C polymorphism ofSET8gene and cancer risk in Asian populations: a meta-analysis

Contact Info

Product

Resources

About