A systematic review and network meta-analysis of single nucleotide polymorphisms associated with pancreatic cancer risk
| Autor: | Hong-Yuan Qing, Chi Zhang, Li-Juan Li, Youming Tang, Zhuo-Miao Ye, Ming-Bo Luo, Jinghui Zheng, Yun-Xin Lu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Oncology
Aging medicine.medical_specialty Network Meta-Analysis pancreatic cancer Single-nucleotide polymorphism Cochrane Library Calcitriol receptor Polymorphism Single Nucleotide single nucleotide polymorphisms Pancreatic cancer Internal medicine Genetic model medicine Diagnostic biomarker SNP Humans CTLA-4 Antigen Genetic Predisposition to Disease FPRP business.industry Cell Biology medicine.disease Pancreatic Neoplasms Meta-analysis Receptors Calcitriol Tumor Suppressor Protein p53 business Research Paper |
| Zdroj: | Aging (Albany NY) |
| ISSN: | 1945-4589 |
| Popis: | In this meta-analysis, we systematically investigated the correlation between single nucleotide polymorphisms (SNPs) and pancreatic cancer (PC) risk. We searched PubMed, Network Science, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), China Science and Technology Periodical Database (VIP), and Wanfang databases up to January 2020 for studies on PC risk-associated SNPs. We identified 45 case-control studies (36,360 PC patients and 54,752 non-cancer individuals) relating to investigations of 27 genes and 54 SNPs for this meta-analysis. Direct meta-analysis followed by network meta-analysis and Thakkinstian algorithm analysis showed that homozygous genetic models for CTLA-4 rs231775 (OR =0.326; 95% CI: 0.218-0.488) and VDR rs2228570 (OR = 1.976; 95% CI: 1.496-2.611) and additive gene model for TP53 rs9895829 (OR = 1.231; 95% CI: 1.143-1.326) were significantly associated with PC risk. TP53 rs9895829 was the most optimal SNP for diagnosing PC susceptibility with a false positive report probability < 0.2 at a stringent prior probability value of 0.00001. This systematic review and meta-analysis suggest that TP53 rs9895829, VDR rs2228570, and CTLA-4 rs231775 are significantly associated with PC risk. We also demonstrate that TP53 rs9895829 is a potential diagnostic biomarker for estimating PC risk. |
| Databáze: | OpenAIRE |
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