Evidence map›Paper›PMID 26803517›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Relationship between five GWAS-identified single nucleotide polymorphisms and female breast cancer in the Chinese Han population.

Yaning He, Hui Liu, Qi Chen, Xianfu Sun, Chaojun Liu, Yingbo Shao

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Polymorphisms of telomere-length related genes in three China ethnic groups.International journal of clinical and experimental pathology · 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

6 authors at 2 institutions in 1 country.

Yaning HeDepartment of Breast Surgery, Affiliated Tumor Hospital of Zhengzhou University (Henan Tumor Hospital), Zhengzhou, 450000, China.
Hui LiuDepartment of Breast Surgery, Affiliated Tumor Hospital of Zhengzhou University (Henan Tumor Hospital), Zhengzhou, 450000, China. liuhuirxk@126.com.
Qi ChenDepartment of Breast Surgery, Affiliated Tumor Hospital of Zhengzhou University (Henan Tumor Hospital), Zhengzhou, 450000, China.
Xianfu SunDepartment of Breast Surgery, Affiliated Tumor Hospital of Zhengzhou University (Henan Tumor Hospital), Zhengzhou, 450000, China.
Chaojun LiuDepartment of Breast Surgery, Affiliated Tumor Hospital of Zhengzhou University (Henan Tumor Hospital), Zhengzhou, 450000, China.
Yingbo ShaoDepartment of Breast Surgery, Affiliated Tumor Hospital of Zhengzhou University (Henan Tumor Hospital), Zhengzhou, 450000, China.
Henan Cancer Hospital · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of genome-wide association study (GWAS), an increasing number of genetic variables have been confirmed to be associated with breast cancer. Furthermore, an increasing number of studies from Asian populations are becoming available. Few GWAS loci have been replicated in the Chinese Han population. In a case-control study of breast cancer in the Henan Tumor Hospital (253 cases/339 controls), we evaluated five SNPs from GWAS of populations of European or Asian ancestry. In order to evaluate the contribution of genetic factors to population differences in breast cancer subtypes, all cases are defined by estrogen (ER), progesterone (PR) receptor, Human epidermal growth factor receptor - 2 (HER2), and Ki67 status. Different genotypes of rs3803662 (TOX3)/ (TNRC9)) in the case group and the control group are statistically significant (P = 0.044), but the ones of rs10069690 (TERT), rs2046210 (6q25.1), rs2981582 (EGFR2), and rs889312 (MAP3K1) have no significant statistical differences with breast cancer (P = 0.772, 0.308, 0.376, 0.468). The allelic frequencies of rs3803662 between the case group and the control group differ in recessive genetic models (odds ratio (OR) = 2.04, 95 % confidence interval (CI) 1.14-3.66) and in con-dominant inheritance models (OR = 2.17, 95 % CI 1.18-4.00). Compared with AA and GA, GG increased the risk of breast cancer (P = 0.017, 0.013). The genotype of rs2046210 (6q25.1), rs2981582 (EGFR2), rs889312 (MAP3K1), and rs3803662 (TOX3/TNRC9) has no statistical differences in different subtypes of breast cancer. Five common breast cancer susceptibility loci from GWAS are not strongly associated with breast cancer risk among the Han Chinese of the Henan province; only rs3803662 (TOX3/TNRC9) is confirmed to increase the risk of breast cancer. The different genotypes of five loci distribute equally in different subtypes of breast cancer.

Indexed as

Genetic Predisposition to DiseaseBiomarkers, TumorBreast NeoplasmsCase-Control StudiesChinaErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesGenome-Wide Association StudyGenotypeHumansPolymorphism, Single NucleotidePrognosisReal-Time Polymerase Chain ReactionReceptors, EstrogenReceptors, ProgesteroneBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneBreast cancerGWASSNPsSubtypes of breast cancer

Identifiers

PMID26803517
OpenAlexW2268633817

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.