Evidence map›Paper›PMID 28004353›Full record

SynthesisPathology oncology research : POR2017

Association of CCND1 Gene c.870G>A Polymorphism with Breast Cancer Risk: A Case-ControlStudy and a Meta-Analysis.

Zahra Soleimani, Davood Kheirkhah, Mohammad Reza Sharif, Alireza Sharif, Mohammad Karimian, Younes Aftabi

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Pathology oncology research : POR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
2.8field-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

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

  1. Pooled it
  2. Pooled it
  3. Association betweenBioscience reports · 2018
    Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Spectrum of the KIT Gene Mutations in Gastrointestinal Stromal Tumors in Arab PatientsAsian Pacific journal of cancer prevention : APJCP · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Association of GSTO1 A140D and GSTO2 N142D Gene Variations with Breast Cancer RiskAsian Pacific journal of cancer prevention : APJCP · 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.

Zahra SoleimaniInfectious Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Davood KheirkhahTrauma Research Center, Kashan University of Medical Sciences, Kashan, Iran. kheirkhahdavood@gmail.com.
Mohammad Reza SharifAutoimmune Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Alireza SharifInfectious Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Mohammad KarimianGametogenesis Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Younes AftabiDrug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Kashan University of Medical Sciences · IRTabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclin D1 (CCND1) plays an essential role in regulating the progress of the cell cycle from G1 to S phase. There is a common c.870G>A polymorphism in the CCND1 gene. The aim of this study was to investigate the association of CCND1 gene c.870G>A polymorphism with breast cancer risk in a case-control study, which followed by a meta-analysis and an in silico analysis. Three hundred and thirty-five subjects composed of 174 women with breast cancer and 161 healthy controls were included in the case-control study. CCND1 gene c.870G>A genotyping was performed by PCR-RFLP. Meta-analysis was done for 14 studies composed of 7281 cases and 6820 controls. Some bioinformatics tools were applied to investigate the effects of c.870G>A on the mRNA splicing and structure. Our data obtained from case-control study revealed that GA genotype (OR: 1.89, 95%CI: 1.12-3.17, p = 0.017), AA genotype (OR: 1.95, 95%CI: 1.08-3.53, p = 0.027), and A allele (OR: 1.44, 95%CI: 1.06-1.95, p = 0.019) were significantly associated with breast cancer risk. The results of meta-analysis showed a significant association between CCND1 c.870G>A polymorphism and breast cancer risk, especially in Caucasian population. In silico analysis revealed that c.870G>A transition affect CCND1 mRNA splicing and secondary structure.

Indexed as

AllelesBreast NeoplasmsCase-Control StudiesCyclin D1FemaleGenetic Predisposition to DiseaseGenotypeHumansMiddle AgedPolymorphism, Restriction Fragment LengthPolymorphism, Single NucleotideRisk FactorsCCND1 protein, humanCyclin D1Breast cancerc.870G>ACCND1 geneGenetic polymorphismMeta-analysis

Identifiers

PMID28004353
OpenAlexW2567528964

What OpenQuestion holds

Textmetadata
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.