Evidence map›Paper›PMID 33464437›Full record

ArticleInternational journal of clinical oncology2021

Variant of SNPs at lncRNA NEAT1 contributes to gastric cancer susceptibility in Chinese Han population.

Xuanke Ji, Yali Yan, Nan Ma, Gui He, Kunyan Wang, Yuehua Zhang, Jingjing Yin, Chunhua Song, Peng Wang, Hua Ye and 3 more

Abstract read
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In one paragraph

Article in International journal of clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Genetic associations ofInternational journal of medical sciences · 2025
    Article
  3. Article
  4. Evaluation of polygenic risk score for risk prediction of gastric cancer.World journal of gastrointestinal oncology · 2023
    Review
  5. Association Between Genetic Polymorphisms of lncRNAInfection and drug resistance · 2022
    Article
  6. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Xuanke Ji *Department of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.
Yali Yan *State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, China.
Nan MaHenan Academy of Medical Sciences, Zhengzhou, 450003, Henan Province, China.
Gui HeDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.
Kunyan WangDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.ORCID http://orcid.org/0000-0002-3300-9453
Yuehua ZhangDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.
Jingjing YinDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.
Chunhua SongDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.
Peng WangDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.
Hua YeDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.
Liping DaiDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.
Jianying ZhangDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China.
Kaijuan WangDepartment of Epidemiology, College of Public Health, Zhengzhou University, No 100 Kexue Avenue, Zhengzhou City, 450001, China. kjwang@163.com.
Zhengzhou University · CNHenan Academy of Sciences · CN

Funding

National Natural Science Foundation of China 81373097
6 · The paper itself

Abstract

backgroundThe long noncoding RNA (lncRNA) nuclear-enriched abundant transcript 1 (NEAT1) has been implicated in many tumors risk including gastric cancer. However, the association of single nucleotide polymorphisms (SNPs) at NEAT1 with gastric cancer risk has not been studied. The aim of this study was to investigate the association between SNPs in NEAT1 and gastric cancer susceptibility.

methodsIn this study, four SNPs in lncRNA NEAT1 were selected for genotyping in 484 gastric cancer patients and 484 controls in Chinese Han population. Quantitative real-time PCR (qRT-PCR) was conducted to evaluate the potential function of rs3825071. Attributable risk percentage (ARP) and population attributable risk percentage (PARP) were used to assess the epidemiological effect.

resultsIn the dominant model (GG), the genotypes AG + AA of rs3825071 and rs7943779 were associated with an increased risk of gastric cancer (OR = 1.72, 95%CI = 1.27-2.32 and OR = 1.63, 95%CI = 1.19-2.22). Individuals harboring ≥ 3 risk alleles have higher risk of gastric cancer (OR = 1.88, 95% CI = 1.26-2.80, P = 0.002). ARP and PARP associated with gastric cancer were 42.53% and 10.88% for rs3825071, and were 33.78% and 6.26% for rs7943779, respectively. Furthermore, compared with the genotype GG of rs3825071, the genotypes AG and AA had higher expression of NEAT1.

conclusionsWe found that the genetic variations in NEAT1 were significantly associated with risk of gastric cancer. The G > A variant of rs3825071 may confer gastric cancer susceptibility by changed biological effects to increase the expression of NEAT1.

Indexed as

RNA, Long NoncodingStomach NeoplasmsCase-Control StudiesChinaGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideNEAT1 long non-coding RNA, humanRNA, Long NoncodingGastric cancerLong noncoding RNANEAT1Single nucleotide polymorphisms

Identifiers

PMID33464437
OpenAlexW3121300406

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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.