Evidence map›Paper›PMID 26765445›Full record

Observational studyMedicine2016

Association Between Single Nucleotide Polymorphisms in DNA Polymerase Kappa Gene and Breast Cancer Risk in Chinese Han Population: A STROBE-Compliant Observational Study.

Zhi-Jun Dai, Xing-Han Liu, Yun-Feng Ma, Hua-Feng Kang, Tian-Bo Jin, Zhi-Ming Dai, Hai-Tao Guan, Meng Wang, Kang Liu, Cong Dai and 2 more

Erratum issuedOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Genotype and Haplotype Analysis BetweenHealth science reports · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Association ofPharmacogenomics and personalized medicine · 2022
    Article
  11. Genetic Variations ofPharmacogenomics and personalized medicine · 2022
    Article
  12. Review
  13. Article
  14. Frontiers in oncology · 2021
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Mammalian DNA Polymerase Kappa Activity and Specificity.Molecules (Basel, Switzerland) · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Zhi-Jun DaiFrom the Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University (Z-JD, X-HL, X-JW, H-FK, H-TG, MW, KL, CD, X-WY, X-JW); Department of Immunology and Pathogenic Biology, Xi'an Jiaotong University (Y-FM); National Engineering Research Center for Miniaturized Detection Systems, School of Life Sciences, Northwest University (T-BJ); and Department of Anesthesia, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China (Z-MD).
Xing-Han Liu
Yun-Feng Ma
Hua-Feng Kang
Tian-Bo Jin
Zhi-Ming Dai
Hai-Tao Guan
Meng Wang
Kang Liu
Cong Dai
Xue-Wen Yang
Xi-Jing Wang
X-Fab (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA polymerases are responsible for ensuring stability of the genome and avoiding genotoxicity caused by a variety of factors during DNA replication. Consequently, these proteins have been associated with an increased cancer risk. DNA polymerase kappa (POLK) is a specialized DNA polymerase involved in translesion DNA synthesis (TLS) that allows DNA synthesis over the damaged DNA. Recently, some studies investigated relationships between POLK polymorphisms and cancer risk, but the role of POLK genetic variants in breast cancer (BC) remains to be defined. In this study, we aimed to evaluate the effects of POLK polymorphisms on BC risk.We used the Sequenom MassARRAY method to genotype 3 single nucleotide polymorphisms (SNPs) in POLK (rs3213801, rs10077427, and rs5744533), in order to determine the genotypes of 560 BC patients and 583 controls. The association of genotypes and BC was assessed by computing the odds ratio (OR) and 95% confidence intervals (95% CIs) from logistic regression analyses.We found a statistically significant difference between patient and control groups in the POLK rs10077427 genotypic groups, excluding the recessive model. A positive correlation was also found between positive progesterone receptor (PR) status, higher Ki67 index, and rs10077427 polymorphism. For rs5744533 polymorphism, the codominant, dominant, and allele models frequencies were significantly higher in BC patients compared to healthy controls. Furthermore, our results indicated that rs5744533 SNP has a protective role in the postmenopausal women. However, we failed to find any associations between rs3213801 polymorphism and susceptibility to BC.Our results indicate that POLK polymorphisms may influence the risk of developing BC, and, because of this, may serve as a prognostic biomarker among Chinese women.

Indexed as

Polymorphism, Single NucleotideAdultAge DistributionAsian PeopleBreast NeoplasmsCase-Control StudiesChinaCohort StudiesConfidence IntervalsDNA-Directed DNA PolymeraseFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansIncidenceLogistic ModelsDNA-Directed DNA PolymerasePOLK protein, humanY-Family DNA Polymerases

Identifiers

PMID26765445
PMCPMC4718271
OpenAlexW2319984496

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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.