Evidence map›Paper›PMID 22166496›Full record

ArticleCarcinogenesis2012

The role of microRNA-binding site polymorphisms in DNA repair genes as risk factors for bladder cancer and breast cancer and their impact on radiotherapy outcomes.

Mark T W Teo, Debora Landi, Claire F Taylor, Faye Elliott, Laurence Vaslin, David G Cox, Janet Hall, Stefano Landi, D Timothy Bishop, Anne E Kiltie

Open access · bronzeAbstract read
In one paragraph

Article in Carcinogenesis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
4.7field-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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Genetic variations in tumor-suppressor miRNA-encoding genes and their target genes: focus on breast cancer development and possible therapeutic strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  7. Effect of radiotherapy on the DNA cargo and cellular uptake mechanisms of extracellular vesicles.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. MicroRNAs in Genetic Etiology of Human Diseases.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Machine learning applications in radiation oncology.Physics and imaging in radiation oncology · 2021
    Review
  13. Article
  14. Article
  15. Pharmacogenomics and personalized medicine · 2021
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Journal of Cancer · 2019
    Article

2 more citing papers are in PubMed but not listed here.

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 5 institutions in 3 countries.

Mark T W TeoSection of Epidemiology and Biostatistics, Leeds Institute of Molecular Medicine, University of Leeds, Leeds LS9 7TF, UK.
Debora Landi
Claire F Taylor
Faye Elliott
Laurence Vaslin
David G Cox
Janet Hall
Stefano Landi
D Timothy Bishop
Anne E Kiltie
University of Leeds · GBInserm · FRUniversity of Pisa · ITCRUK/MRC Oxford Institute for Radiation Oncology · GBInstitut Curie · FR

Funding

Cancer Research UK 10589Cancer Research UK 12933Cancer Research UK C15140/A11505
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are involved in post-transcriptional regulation of gene expression through binding to messenger RNAs (mRNA) thereby promoting mRNA degradation or altered translation. A single-nucleotide polymorphism (SNP) located within a miRNA-binding site could thus alter mRNA translation and influence cancer risk and treatment response. The common SNPs located within the 3'-untranslated regions of 20 DNA repair genes were analysed for putative miRNA-binding sites using bioinformatics algorithms, calculating the difference in Gibbs free binding energy (ΔΔG) for each wild-type versus variant allele. Seven SNPs were selected to be genotyped in germ line DNAs both from a bladder cancer case-control series (752 cases and 704 controls) and 202 muscle-invasive bladder cancer radiotherapy cases. The PARP-1 SNP rs8679 was also genotyped in a breast cancer case-control series (257 cases and 512 controls). Without adjustment for multiple testing, multivariate analysis demonstrated an association with increased bladder cancer risk with PARP1 rs8679 (P(trend) = 0.05) while variant homozygotes of PARP1 rs8679 were also noted to have an increased breast cancer risk (P = 0.03). In the radiotherapy cases, carriers of the RAD51 rs7180135 minor allele had improved cancer-specific survival (hazard ratio 0.52, 95% confidence interval 0.31-0.87, P = 0.01). This is the first report of associations between DNA repair gene miRNA-binding site SNPs with bladder and breast cancer risk and radiotherapy outcomes. If validated, these findings may give further insight into the biology of bladder carcinogenesis, allow testing of the RAD51 SNP as a potential predictive biomarker and also reveal potential targets for new cancer treatments.

Indexed as

3' Untranslated RegionsAdultAgedBase SequenceBinding SitesBreast NeoplasmsDNA RepairFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMicroRNAsMiddle AgedPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerases3' Untranslated RegionsMicroRNAsPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) PolymerasesRAD51 protein, humanRad51 RecombinaseRNA, Messenger

Identifiers

PMID22166496
PMCPMC3291859
OpenAlexW2111234709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.