Pickled Vegetables Intake Impacts the Metabolites for Gastric Cancer

Shuangfeng Yang; Yanping Lv; Chuancheng Wu; Baoying Liu; Zhixiong Shu; Yulan Lin

doi:10.2147/CMAR.S271277

Pickled Vegetables Intake Impacts the Metabolites for Gastric Cancer

Cancer Manag Res. 2020 Sep 9:12:8263-8273. doi: 10.2147/CMAR.S271277. eCollection 2020.

Authors

Shuangfeng Yang^{1

2}, Yanping Lv^{1

2}, Chuancheng Wu^#^{1

2}, Baoying Liu^#^{1

2}, Zhixiong Shu^{1

2}, Yulan Lin¹

Affiliations

¹ School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China.
² Fujian Provincial Key Laboratory of Environment Factors and Cancer, Fuzhou, People's Republic of China.

^# Contributed equally.

Abstract

Purpose: An increased risk of gastric cancer (GC) for pickled vegetables intake has been suggested, but a complete understanding of its pathogenic origin is still lacking, especially from a metabolic viewpoint. We investigated the plasma metabolites and metabolic pathway alteration of GC related to pickled vegetables intake.

Methods: We analyzed plasma samples collected from 365 gastric cancer patients and 347 healthy individuals, and divided them into three subgroups according to the intake of pickled vegetables. Plasma samples were detected by untargeted metabolomics.

Results: Nine metabolites were significantly altered in GC patients among pickled vegetables intake groups (FDR P-value<0.05). All of them were associated with the risk of gastric cancer adjusted for gender, age, smoking status, Helicobacter pylori infection. Pathway analysis showed significant alteration in the folate biosynthesis pathway.

Conclusion: In short, we provide new insights from a metabolic perspective on the relationship between pickled vegetables intake and the occurrence of gastric cancer.

Keywords: gastric cancer; metabolic pathway; metabolites; pickled vegetables intake.

Grants and funding

This study was supported by the funds from the Xianyou County in Fujian gastrointestinal cancer etiology, epidemiology research, Xianyou County government [grant number 2013B008 085094]; Fujian Natural Science Fund [grant number 2017J01811; 2015J01673]; Fujian Medical Innovation Fund [grant number 2016-CX-41].