Evidence map›Paper›PMID 34565479›Full record

ArticleCancer & metabolism2021

mGWAS identification of six novel single nucleotide polymorphism loci with strong correlation to gastric cancer.

Shuangfeng Yang, Yuan-Liang Wang, Yanping Lyu, Yu Jiang, Jianjun Xiang, Shumi Ji, Shuling Kang, Xuejie Lyu, Chenzhou He, Peixin Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Prognostic Implication of Plasma Metabolites in Gastric Cancer.International journal of molecular sciences · 2023
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Shuangfeng YangSchool of Public Health, Fujian Medical University, Fuzhou, China.
Yuan-Liang WangSchool of Public Health, Fujian Medical University, Fuzhou, China.
Yanping LyuSchool of Public Health, Fujian Medical University, Fuzhou, China.
Yu JiangSchool of Public Health, Fujian Medical University, Fuzhou, China.
Jianjun XiangSchool of Public Health, Fujian Medical University, Fuzhou, China.
Shumi JiSchool of Public Health, Fujian Medical University, Fuzhou, China.
Shuling KangSchool of Public Health, Fujian Medical University, Fuzhou, China.
Xuejie LyuSchool of Public Health, Fujian Medical University, Fuzhou, China.
Chenzhou HeSchool of Public Health, Fujian Medical University, Fuzhou, China.
Peixin LiSchool of Public Health, Fujian Medical University, Fuzhou, China.
Baoying LiuSchool of Public Health, Fujian Medical University, Fuzhou, China. lby@fjmu.edu.cn.
Chuancheng WuSchool of Public Health, Fujian Medical University, Fuzhou, China. wcc@fjmu.edu.cn.ORCID http://orcid.org/0000-0003-2101-4738
Fujian Medical University · CN

Funding

Fujian Medical Innovation Fund 2016-CX-41Natural Science Foundation of Fujian Province 2017J01811
6 · The paper itself

Abstract

backgroundMetabolite genome-wide association studies (mGWAS) are key for understanding the genetic regulation of metabolites in complex diseases including cancers. Although mGWAS has revealed hundreds of metabolomics quantitative trait loci (mQTLs) in the general population, data relating to gastric cancer (GC) are still incomplete.

methodsWe identified mQTLs associated with GC by analyzing genome-wide and metabolome-wide datasets generated from 233 GC patients and 233 healthy controls.

resultsTwenty-two metabolites were statistically different between GC cases and healthy controls, and all of them were associated with the risk of gastric cancer. mGWAS analyses further revealed that 9 single nucleotide polymorphisms (SNPs) were significantly associated with 3 metabolites. Of these 9 SNPs, 6 loci were never reported in the previous mGWAS studies. Surprisingly, 4 of 9 SNPs were significantly enriched in genes involved in the T cell receptor signaling pathway.

conclusionsOur study unveiled several novel GC metabolite and genetic biomarkers, which may be implicated in the prevention and diagnosis of gastric cancer.

Indexed as

BiomarkersGastric cancerGWASMetabolite

Identifiers

PMID34565479
PMCPMC8474935
OpenAlexW3204044802

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.