Evidence map›Paper›PMID 24839009›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

CD243 gene polymorphism significantly associated with breast cancer susceptibility.

Weirong Yao, Rongzeng Yan, Lin Ma, Huiping Wan, Yanmin Yu, Xia Cheng, Yingliang Li

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 4 institutions in 1 country.

Weirong YaoDepartment of Radiation Oncology, Chinese PLA General Hospital, Beijing, China.
Rongzeng Yan
Lin Ma
Huiping Wan
Yanmin Yu
Xia Cheng
Yingliang Li
Jiangxi Provincial People's Hospital · CNChinese PLA General Hospital · CNChinese People's Armed Police ForceFirst Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to obtain a summary risk estimate for CD243 gene polymorphism associated with breast cancer. A total of nine case-control studies, including 5,073 cancer patients and 7,498 control subjects, were pooled in our fixed effects meta-analysis of the association between CD243 gene polymorphism and risk of breast cancer. All data were analyzed by using Stata software (version 12.0). We found significant risk effects under TT vs. TC + CC genetic model [odds ratio (OR) = 1.09, 95 % confidence interval (CI) = 1.01-1.18, P = 0.516], but not in other comparisons. Stratifying the pooled data by ethnicity and source of controls revealed that the association between the T allele and an increased risk of breast cancer was more pronounced among Asians (TT vs. CC: OR = 1.26, 95 % CI = 1.02-1.57, P = 0.720; TT vs. TC + CC: OR = 1.31, 95 % CI = 1.07-1.61, P = 0.708) and hospital-based studies (TT vs. CC: OR = 1.25, 95 % CI = 1.02-1.53, P = 0.877; TT vs. TC + CC: OR = 1.27, 95 % CI = 1.05-1.53, P = 0.540). No notable heterogeneity was indicated across studies. Our meta-analysis demonstrates that CD243 gene polymorphism may act as a predisposition factor for breast cancer, particularly in Asian populations.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticATP Binding Cassette Transporter, Subfamily BBreast NeoplasmsCase-Control StudiesFemaleHumansPublication BiasABCB1 protein, humanATP Binding Cassette Transporter, Subfamily B

Identifiers

PMID24839009
OpenAlexW2012228621

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.