Evidence map›Paper›PMID 33931047›Full record

SynthesisBMC medical genomics2021

The association between XRCC3 rs1799794 polymorphism and cancer risk: a meta-analysis of 34 case-control studies.

Weiqing Liu, Shumin Ma, Lei Liang, Zhiyong Kou, Hongbin Zhang, Jun Yang

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
–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

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, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Potential Single Nucleotide Polymorphisms markers for radiation dermatitis in head and neck cancer patients: a meta-analysis.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024
    Pooled it
  3. Pooled it
  4. Article
  5. Cancers · 2022
    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

6 authors.

Weiqing LiuDepartment of Internal Medicine-Oncology, the First Affiliated Hospital of Kunming Medical University, Yunnan Province, Kunming, 650032, People's Republic of China.
Shumin MaDepartment of Oncology, the First Affiliated Hospital of Kunming Medical University, Yunnan Province, No. 295 Xichang Road, Kunming, 650032, People's Republic of China.
Lei LiangDepartment of Oncology, the First Affiliated Hospital of Kunming Medical University, Yunnan Province, No. 295 Xichang Road, Kunming, 650032, People's Republic of China.
Zhiyong KouDepartment of Oncology, the First Affiliated Hospital of Kunming Medical University, Yunnan Province, No. 295 Xichang Road, Kunming, 650032, People's Republic of China.
Hongbin ZhangDepartment of Oncology, the First Affiliated Hospital of Kunming Medical University, Yunnan Province, No. 295 Xichang Road, Kunming, 650032, People's Republic of China.
Jun YangDepartment of Oncology, the First Affiliated Hospital of Kunming Medical University, Yunnan Province, No. 295 Xichang Road, Kunming, 650032, People's Republic of China. yangjun6@kmmu.edu.cn.ORCID 0000-0002-8100-6943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies on the XRCC3 rs1799794 polymorphism show that this polymorphism is involved in a variety of cancers, but its specific relationships or effects are not consistent. The purpose of this meta-analysis was to investigate the association between rs1799794 polymorphism and susceptibility to cancer.

methodsPubMed, Embase, the Cochrane Library, Web of Science, and Scopus were searched for eligible studies through June 11, 2019. All analyses were performed with Stata 14.0. Subgroup analyses were performed by cancer type, ethnicity, source of control, and detection method. A total of 37 studies with 23,537 cases and 30,649 controls were included in this meta-analysis.

resultsXRCC3 rs1799794 increased cancer risk in the dominant model and heterozygous model (GG + AG vs. AA: odds ratio [OR] = 1.04, 95% confidence interval [CI] = 1.00-1.08, P = 0.051; AG vs. AA: OR = 1.05, 95% CI = 1.00-1.01, P = 0.015). The existence of rs1799794 increased the risk of breast cancer and thyroid cancer, but reduced the risk of ovarian cancer. In addition, rs1799794 increased the risk of cancer in the Caucasian population.

conclusionThis meta-analysis confirms that XRCC3 rs1799794 is related to cancer risk, especially increased risk for breast cancer and thyroid cancer and reduced risk for ovarian cancer. However, well-designed large-scale studies are required to further evaluate the results.

Indexed as

DNA-Binding ProteinsGenetic Predisposition to DiseaseNeoplasmsPolymorphism, Single NucleotideCase-Control StudiesHumansRisk FactorsDNA-Binding ProteinsX-ray repair cross complementing protein 3CancerMeta-analysisPolymorphismRiskRs1799794

Identifiers

PMID33931047
PMCPMC8086287

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.