Research Paper Volume 13, Issue 17 pp 21451—21469

Identification and epidemiological evaluation of gastric cancer risk factors: based on a field synopsis and meta-analysis in Chinese population

Fujiao Duan1,2,4, , Chunhua Song1,2, , Jiachen Shi3, , Peng Wang1,2, , Hua Ye1,2, , Liping Dai1,2, , Jianying Zhang1,2, , Kaijuan Wang1,2, ,

  • 1 College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China
  • 2 Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou, Henan Province, China
  • 3 Department of Internal Medicine, The First Affiliated Hospital of Zhengzhou University,Zhengzhou, Henan Province, China
  • 4 Medical Research Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan Province, China

Received: January 10, 2021       Accepted: August 11, 2021       Published: September 6, 2021
How to Cite

Copyright: © 2021 Duan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


To summarize and assess the credibility and strength of non-genetic factors and genetic variation on gastric cancer risk, we performed a field synopsis and meta-analysis to identify the risk of gastric cancer in Chinese population. Cumulative evidence was graded according to the Venice criteria, and attributable risk percentage (ARP) and population attributable risk percentage (PARP) were used to evaluate the epidemiological effect. A total of 956 studies included non-genetic (404 studies) and genetic factors (552 studies) were quantified, and data on 1161 single nucleotide polymorphisms (SNPs) were available. We identified 14 non-genetic factors were significantly associated with gastric cancer risk. For the analysis of time trends, H. pylori infection rate in gastric cancer and population showed a downward trend. Meanwhile 22 variants were identified significantly associated with gastric cancer: 3 (PLCE1 rs2274223, PSCA rs2976392, MUC1 rs4072037) were high and 19 SNPs were intermediate level of summary evidence, respectively. For non-genetic factors, the top three for ARP were 54.75% (pickled food), 65.87% (stomach disease), and 49.75% (smoked and frying). For PARP were 34.22% (pickled food), 34.24% (edible hot food) and 23.66%(H. pylori infection). On the basis of ARP and PARP associated with SNPs of gastric cancer, the top three for ARP were 53.91% (NAT2, rs1799929),53.05% (NAT2 phenotype), and 42.85% (IL-10, rs1800896). For PARP (Chinese Han in Beijing) were 36.96% (VDR, rs731236), 25.58% (TGFBR2, rs3773651) and 20.56% (MUC1, rs4072037). Our study identified non-genetic risk factors and high-quality biomarkers of gastric cancer susceptibility and their contribution to gastric cancer.


FPRP: False-positive report probability; ARP: Attributable risk percentage; PARP: Population attributable risk percentage; SNP: Single nucleotide polymorphism; GWAS: Genome wide association study; MOOSE: Meta-analysis of Observational Studies in Epidemiology; PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analysis; RR: Relative risk; OR: Odds ratios.