Evidence map›Paper›PMID 26434778›Full record

SynthesisMedical science monitor : international medical journal of experimental and clinical research2015

Association Between ESR1 PvuII, XbaI, and P325P Polymorphisms and Breast Cancer Susceptibility: A Meta-Analysis.

Yiming Zhang, Ming Zhang, Xiaosong Yuan, Zhichen Zhang, Ping Zhang, Haojie Chao, Lixia Jiang, Jian Jiang

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Medical science monitor : international medical journal of experimental and clinical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Yiming ZhangDepartment of Clinical Laboratory, Changzhou Maternal and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, Jiangsu, China (mainland).
Ming ZhangDepartment of Clinical Laboratory, Changzhou Maternal and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, Jiangsu, China (mainland).
Xiaosong YuanDepartment of Clinical Laboratory, Changzhou Maternal and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, Jiangsu, China (mainland).
Zhichen ZhangJing Jiang College Affiliated to Jiang Su University, Zhengjiang, Jiangsu, China (mainland).
Ping ZhangDepartment of Clinical Laboratory, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, Jiangsu, China (mainland).
Haojie ChaoDepartment of Clinical Laboratory, Changzhou Maternal and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, Jiangsu, China (mainland).
Lixia JiangDepartment of Clinical Laboratory, Changzhou Maternal and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, Jiangsu, China (mainland).
Jian JiangDepartment of Clinical Laboratory, Changzhou Maternal and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, Jiangsu, China (mainland).
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is one of the leading causes of cancer-related deaths for women. Numerous studies have shown that single-nucleotide polymorphisms (SNPs) on the ESR1 gene are associated to this disease. However, data and conclusions are inconsistent and controversial. MATERIAL AND

methodsTo investigate the association between PvuII (rs2234693), XbaI (rs9340799) and P325P (rs1801132) polymorphisms of ESR1 gene with the risk of breast cancer under different population categorizations, we searched multiple databases for data collection, and performed the meta-analysis on a total of 25 case-control studies. Three different comparison models - dominant model, recessive model, and homozygote comparison model - were applied to evaluate the association.

resultsOur results indicated that people with TT+TC or TT genotype were at a greater risk of developing breast cancer than those with CC genotype in the PvuII polymorphism. While for XbaI and P325P polymorphisms, no significance was found using any of the 3 models. Furthermore, the data were also stratified into different subgroups according to the ethnicity (white or Asian) and source of controls (hospital-based or population-based), and separate analyses were conducted to assess the association. The ethnicity subgroup assessment showed that the higher risk of breast cancer for TT genotype of PvuII polymorphism than CC genotype only occurred in Asian people, but not in white populations. For the source-stratified subgroup analysis, significant association suggested that people with TT + TC genotype were at a greater risk of developing breast cancer than those with CC genotype in the hospital-based subgroup.

conclusionsThus, this meta-analysis clarified the inconsistent conclusions from previous studies, conducted analyses for the entire population as well as for different subgroups using diverse population categorization strategies, and has the potential to help provide a personalized risk estimate for breast cancer susceptibility.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideBreast NeoplasmsCase-Control StudiesEstrogen Receptor alphaEstrogen Receptor ModulatorsFemaleGenes, DominantGenes, RecessiveGenotypeHomozygoteHospitalizationHumansPolymorphism, GeneticRisk FactorsESR1 protein, humanEstrogen Receptor alphaEstrogen Receptor Modulators

Identifiers

PMID26434778
PMCPMC4599181
OpenAlexW2193355434

What OpenQuestion holds

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Registered trials

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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.