Evidence map›Paper›PMID 24642895›Full record

ArticlePloS one2014

The relationship between seven common polymorphisms from five DNA repair genes and the risk for breast cancer in northern Chinese women.

Peijian Ding, Yang Yang, Luyang Cheng, Xuejun Zhang, Limin Cheng, Caizhen Li, Jianhui Cai

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
2.1field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Association of humanCancer cell international · 2020
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  13. XRCC1 Arg399Gln polymorphism is not associated with breast cancer in Chinese.International journal of clinical and experimental medicine · 2015
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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

7 authors at 3 institutions in 1 country.

Peijian DingDepartment of Surgery, Hebei Medical University, Shijiazhuang, Hebei, China; Department of Surgery, Hebei General Hospital, Shijiazhuang, Hebei, China; Department of Oncology & Immunotherapy, Hebei General Hospital, Shijiazhuang, Hebei, China; Department of Surgery, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei, China.
Yang YangDepartment of Surgery, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei, China.
Luyang ChengDepartment of Surgery, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei, China.
Xuejun ZhangDepartment of Surgery, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei, China.
Limin ChengDepartment of Surgery, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei, China.
Caizhen LiHebei Eracon Bio-tech Co. Ltd, Shijiazhuang, Hebei, China.
Jianhui CaiDepartment of Surgery, Hebei Medical University, Shijiazhuang, Hebei, China; Department of Surgery, Hebei General Hospital, Shijiazhuang, Hebei, China; Department of Oncology & Immunotherapy, Hebei General Hospital, Shijiazhuang, Hebei, China.
Affiliated Hospital of Chengde Medical College · CNHebei General Hospital · CNHebei Science and Technology Department · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConverging evidence supports the central role of DNA damage in progression to breast cancer. We therefore in this study aimed to assess the potential interactions of seven common polymorphisms from five DNA repair genes (XRCC1, XRCC2, XRCC3, XPA and APEX1) in association with breast cancer among Han Chinese women. METHODOLOGY/PRINCIPAL

findingsThis was a case-control study involving 606 patients diagnosed with sporadic breast cancer and 633 age- and ethnicity-matched cancer-free controls. The polymerase chain reaction-ligase detection reaction method was used to determine genotypes. All seven polymorphisms were in accordance with Hardy-Weinberg equilibrium in controls. Differences in the genotypes and alleles of XRCC1 gene rs25487 and XPA gene rs1800975 were statistically significant between patients and controls, even after the Bonferroni correction (P<0.05/7). Accordingly, the risk for breast cancer was remarkably increased for rs25487 (OR = 1.28; 95% CI: 1.07-1.51; P = 0.006), but decreased for rs1800975 (OR = 0.77; 95% CI: 0.67-0.90; P = 0.001) under an additive model at a Bonferroni corrected alpha of 0.05/7. Allele combination analysis showed higher frequencies of the most common combination C-G-G-C-G-G-G (alleles in order of rs1799782, rs25487, rs3218536, rs861539, rs1800975, rs1760944 and rs1130409) in controls than in patients (PSim = 0.002). In further interaction analysis, two-locus model including rs1800975 and rs25487 was deemed as the overall best model with the maximal testing accuracy of 0.654 and the cross-validation consistency of 10 out of 10 (P = 0.001).

conclusionOur findings provide clear evidence that XRCC1 gene rs25487 and XPA gene rs1800975 might exert both independent and interactive effects on the development of breast cancer among northern Chinese women.

Indexed as

DNA RepairGenetic Predisposition to DiseasePolymorphism, GeneticAdultAgedAllelesAsian PeopleBreast NeoplasmsCase-Control StudiesDNA-(Apurinic or Apyrimidinic Site) LyaseDNA-Binding ProteinsFemaleGenotypeHumansMiddle AgedModels, GeneticAPEX1 protein, humanDNA-(Apurinic or Apyrimidinic Site) LyaseDNA-Binding ProteinsXeroderma Pigmentosum Group A ProteinXPA protein, humanX-ray Repair Cross Complementing Protein 1X-ray repair cross complementing protein 3XRCC1 protein, humanXRCC2 protein, human

Identifiers

PMID24642895
PMCPMC3958445
OpenAlexW2019651355

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.