Evidence map›Paper›PMID 25220285›Full record

ArticleScientific reports2014

A functional p53 responsive polymorphism in KITLG, rs4590952, does not affect the risk of breast cancer.

Wei Chen, Jiaoyuan Li, Cheng Liu, Xueqin Chen, Ying Zhu, Yang Yang, Yajie Gong, Tengfei Wang, Xiaoping Miao, Xiu Nie

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Evaluation ofOncoTargets and therapy · 2017
    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

10 authors at 3 institutions in 1 country.

Wei Chen1] Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China [2] State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiaoyuan LiState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Cheng LiuState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xueqin ChenState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ying ZhuState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yang YangState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yajie GongState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tengfei WangState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaoping MiaoState Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment &Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan), and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiu NieDepartment of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ministry of Ecology and Environment · CNHuazhong University of Science and Technology · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, a functional polymorphism in KITLG, rs4590952, was identified to be associated with testicular cancer susceptibility through increasing the p53-dependent KITLG expression and disrupting the function of p53. We performed a hospital-based case-control study, including 1241 breast cancer (BC) patients and 1259 cancer-free controls, to investigate the role of this polymorphism in the risk of BC in Chinese Han population. However, no significant association between rs4590952 and BC risk was identified in allelic model with the odds ratio (OR) of 1.04 (95% confidence interval (CI) = 0.73-1.46, P = 0.839) or in any other genetic models. When performed stratified analysis according to the Estrogen Receptor (ER) and Progesterone Receptor (PR) status, rs4590952 was neither associated with ER+/PR+ nor ER-PR- subgroups. Our results suggested that rs4590952 was not associated with the risk of BC in Chinese population, implying that heterogeneous distinct mechanisms might exist in the etiology of different cancers.

Indexed as

Breast NeoplasmsCase-Control StudiesFemaleHumansMiddle AgedPolymorphism, Single NucleotideRisk FactorsStem Cell FactorTumor Suppressor Protein p53Stem Cell FactorTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID25220285
PMCPMC4163669
OpenAlexW1981497269

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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 OpenQuestion graph.