Evidence map›Paper›PMID 36884100›Full record

ArticleInternational journal of clinical oncology2023

Impact of MIR31HG polymorphisms on risk of breast cancer in Chinese women.

Ying Wei, Xiaolin Wang, Zhe Zhang, Changtao Zhao, Yuwei Chang, Zhiqing Bian, Xinhan Zhao

Abstract read
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In one paragraph

Article in International journal of clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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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

7 authors.

Ying Wei *Department of Internal Medicine Oncology, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an, #227 West Yanta Road, 710061, Shaanxi, China.
Xiaolin Wang *Department of General Surgery, Yulin No.2 Hospital, Yulin, 719000, Shaanxi, China.
Zhe ZhangDepartment of General Surgery, Yulin No.2 Hospital, Yulin, 719000, Shaanxi, China.
Changtao ZhaoDepartment of Internal Medicine Oncology, Yulin No.2 Hospital, Yulin, 719000, Shaanxi, China.
Yuwei ChangDepartment of Internal Medicine Oncology, Yulin No.2 Hospital, Yulin, 719000, Shaanxi, China.
Zhiqing BianDepartment of Internal Medicine Oncology, Yulin No.2 Hospital, Yulin, 719000, Shaanxi, China.
Xinhan ZhaoDepartment of Internal Medicine Oncology, The First Affiliated Hospital of Xi'an Jiaotong University School of Medicine, Xi'an, #227 West Yanta Road, 710061, Shaanxi, China. zhaoxinhan@mail.xjtu.edu.cn.

Funding

National Natural Science Foundation of China No. 8170100875
6 · The paper itself

Abstract

backgroundBreast cancer (BC) is one of the leading causes of death worldwide. This study explored the relationship between the MIR31HG gene polymorphisms and the risk of BC in Chinese women.

methodsEight single nucleotide polymorphisms (SNPs) in MIR31HG were genotyped among 545 patients with BC and 530 healthy controls using Agena MassARRAY analysis. The PLINK software was used to calculate the odds ratio (OR) and 95% confidence intervals (CIs) via the logistic regression analysis. Multi-factor dimensionality reduction (MDR) analysis was performed to study the impact of SNP-SNP interaction on BC risk.

resultsMIR31HG rs72703442-AA (OR 0.29, 95% CI 0.10-0.79, p = 0.026), rs55683539-TT (OR 0.46, 95% CI 0.26-0.80, p = 0.012) and rs2181559-AA (OR 0.59, 95% CI 0.40-0.89, p = 0.038) were associated with a reduced risk of BC in Chinese women, as well as stratified results at age ≥ 52 years. Rs79988146 was correlated with estrogen receptor (ER) and progesterone receptor (PR)in Chinese female BC patients under various genetic models. Age at menarche stratification indicated that rs1332184 was associated with increased risk in BC patients, whereas stratification by number of births indicated that rs10965064 was associated with reduced risk in BC patients. MDR analysis showed that the best single-locus model for predicting of BC risk are rs55683539, which, rs55683539-CC group was a high risk group and rs55683539-TT group was a low risk group.

conclusionsThe results indicated that the MIR31HG polymorphisms were associated with a reduced risk of BC in Chinese women.

Indexed as

Breast NeoplasmsEast Asian PeopleGenetic Predisposition to DiseaseRNA, Long NoncodingCase-Control StudiesFemaleGenotypeHumansMicroRNAsMiddle AgedPolymorphism, Single NucleotideReceptors, EstrogenReceptors, ProgesteroneRisk AssessmentMicroRNAsMIRN31 microRNA, humanReceptors, EstrogenReceptors, ProgesteroneRNA, Long NoncodingBreast cancerCase–control studyMIR31HGPolymorphismRisk

Identifiers

PMID36884100

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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.