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A comprehensive assessment of single nucleotide polymorphisms associated with pancreatic cancer risk: A protocol for systematic review and network meta-analysis.

ABSTRACT: BACKGROUND:Single nucleotide polymorphisms (SNPs) have been inconsistently associated with pancreatic cancer (PC) risk. This meta-analysis aimed to synthesize relevant data on SNPs associated with PC. METHODS:Databases were searched to identify association studies of SNPs and PC published through January 2020 from the databases of PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, the Chinese Science and Technology Periodical Database (VIP) and Wanfang databases. Network meta-analysis and Thakkinstian algorithm were used to select the most appropriate genetic model, along with false positive report probability (FPRP) for noteworthy associations. The methodological quality of data was assessed based on the STREGA statement Stata 14.0 will be used for systematic review and meta-analysis. RESULTS:This study will provide a high-quality evidence to find the SNP most associated with pancreatic cancer susceptibility and the best genetic model. CONCLUSIONS:This study will explore which SNP is most associated with pancreatic cancer susceptibility.Registration: INPLASY202040023.

SUBMITTER: Ye ZM

PROVIDER: S-EPMC7302655 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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A comprehensive assessment of single nucleotide polymorphisms associated with pancreatic cancer risk: A protocol for systematic review and network meta-analysis.

Ye Zhuo-Miao ZM Li Li-Juan LJ Zheng Jing-Hui JH Zhang Chi C Lu Yun-Xin YX Tang Youming Y

Medicine 20200601 24

<h4>Background</h4>Single nucleotide polymorphisms (SNPs) have been inconsistently associated with pancreatic cancer (PC) risk. This meta-analysis aimed to synthesize relevant data on SNPs associated with PC.<h4>Methods</h4>Databases were searched to identify association studies of SNPs and PC published through January 2020 from the databases of PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, the Chinese Science and Technology Periodical Database (VIP) ...[more]

PMID: 32541456

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Project description:AimTo access the association of forty-eight single nucleotide polymorphisms (SNPs) identified from Caucasian population with steroid-induced ocular hypertension (OHT) in India population.MethodsFifty-four triamcinolone-acetonide (TA) and forty-seven dexamethasone (Dex) administered subjects were enrolled in the study after a written consent. Intraocular pressure (IOP) values were recorded for a period of 6-month post steroid injections and patients were grouped as steroid-responders (SR: IOP≥21 mm Hg) and non-responders (NR: IOP≤20 mm Hg). Genomic DNA was isolated from peripheral venous blood. Forty-eight SNPs identified in TA treated Caucasian patients by genome wide association study (GWAS) were genotyped using iPLEX™ MassARRAY among TA as well as Dex administered Indian patients. Genotyping data of 48 general subjects from a previous study were considered as reference controls for statistical analysis. Genotypic frequencies were calculated and P-value, Chi-square and odds ratio at 95% confidence-interval of group A (steroid treated vs controls), group B (SR vs NR), group C (phenotype correlation: influence of time, severity and gender on IOP rise), were calculated. P<0.05 was considered to be statistically significant.ResultsOHT was observed in 50% of TA and 26% of Dex administered patients, respectively. IOP rise was mostly severe (>30 mm Hg) and immediate (<1wk) among TA-SR patients while it was noticed to be mild (<30 mm Hg) and between 1-2mo among Dex-SR patients. Logistic regression for risk factor correlation with OHT remained non-significant, hence these factors were not considered as confounding parameters for further analysis. rs133, rs34016742, rs274554, rs10936746, rs274547, rs804854, rs7751500, rs359498, and rs7547448 SNPs significantly varied even after Bonferroni corrections (P<0.0025; group A). rs1879370 (TA) and rs6559662 (Dex) were significantly (P<0.05) associated with OHT (group B). rs133 (severe IOP rise), rs11047639 and rs1879370 (male gender), and rs11171569 (immediate IOP rise) significantly (P<0.05) influenced the phenotype correlation only among TA-OHT patients. However, the significance of these SNPs in group B and phenotype analysis (group C) was lost upon Bonferroni corrections (P<0.0025).ConclusionPrevalence of OHT in study population is observed to be similar to other studies both in TA and Dex treated patients. We can correlate rs34016742 involved in diabetes signaling pathway to the occurrence of ocular edematous and inflammatory conditions. Except rs133 that is involved in neuro-degeneration and myopia occurrence, none of the other SNPs identified in Caucasian population possess any correlation with OHT incidence in TA and Dex administered Indian subjects.

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A comprehensive assessment of single nucleotide polymorphisms associated with pancreatic cancer risk: A protocol for systematic review and network meta-analysis.

Publications

A comprehensive assessment of single nucleotide polymorphisms associated with pancreatic cancer risk: A protocol for systematic review and network meta-analysis.

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