Evidence map›Paper›PMID 26067721›Full record

SynthesisBMC medicine2015

Influence of CYP19A1 polymorphisms on the treatment of breast cancer with aromatase inhibitors: a systematic review and meta-analysis.

Osvaldo Artigalás, Tazio Vanni, Mara Helena Hutz, Patricia Ashton-Prolla, Ida Vanessa Schwartz

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
  2. Trial
  3. cAMP response element-binding protein: A credible cancer drug target.The Journal of pharmacology and experimental therapeutics · 2025
    Review
  4. Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.International journal of molecular sciences · 2021
    Review
  5. Article
  6. Article
  7. Genetic Influences in Breast Cancer Drug Resistance.Breast cancer (Dove Medical Press) · 2021
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Relation among Aromatase P450 and Tumoral Growth in Human Prolactinomas.International journal of molecular sciences · 2017
    Review
  14. Review
  15. Article
  16. The Association ofFrontiers in pharmacology · 2017
    Review
  17. Article
  18. Article
  19. Review
  20. 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

5 authors at 3 institutions in 2 countries.

Osvaldo ArtigalásPostgraduate Program in Genetics and Molecular Biology, Department of Genetics, UFRGS, Av. Bento Gonçalves, 9500 - Prédio 43323M CEP: 91501-970 - Caixa Postal 15053, Porto Alegre, Rio Grande do Sul, Brazil. artigalas@gmail.com.
Tazio VanniCoordenação Geral de Avaliação de Tecnologias em Saúde - CGATS, Department of Science and Technology, Ministry of Health, SCN Quadra 02 Projeção C Subsolo Sala T-004, CEP: 70712-902, Brasília, DF, Brazil. taziovanni@gmail.com.
Mara Helena HutzPostgraduate Program in Genetics and Molecular Biology, Department of Genetics, UFRGS, Av. Bento Gonçalves, 9500 - Prédio 43323M CEP: 91501-970 - Caixa Postal 15053, Porto Alegre, Rio Grande do Sul, Brazil. mara.hutz@ufrgs.br.
Patricia Ashton-ProllaPostgraduate Program in Genetics and Molecular Biology, Department of Genetics, UFRGS, Av. Bento Gonçalves, 9500 - Prédio 43323M CEP: 91501-970 - Caixa Postal 15053, Porto Alegre, Rio Grande do Sul, Brazil. pprolla@gmail.com.
Ida Vanessa SchwartzPostgraduate Program in Genetics and Molecular Biology, Department of Genetics, UFRGS, Av. Bento Gonçalves, 9500 - Prédio 43323M CEP: 91501-970 - Caixa Postal 15053, Porto Alegre, Rio Grande do Sul, Brazil. idadschwartz@gmail.com.
Universidade Federal do Rio Grande do Sul · BRHospital de Clínicas de Porto Alegre · BRMinistério da Saúde · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany clinical trials have shown the efficacy of aromatase inhibitors (AIs) in the management of breast cancer (BC). There is growing evidence that CYP19A1 single-nucleotide polymorphisms (SNPs) are associated with clinical response (CR) and adverse effects (AEs) among BC patients treated with AIs. The aim of this study was to analyze the association between CYP19A1 polymorphisms and AI treatment in BC patients.

methodsA systematic review was performed in MEDLINE, EMBASE, and LILACS. A meta-analysis was conducted to compare the association between CYP19A1 variants and treatment response among BC patients.

resultsA total of 12 studies were included in the final analysis. There was significant variation among the populations studied and the SNPs and outcomes investigated. A meta-analysis was only possible for the evaluation of SNP rs4646 vs. the wild-type variant with respect to time to progression (TTP) among metastatic BC patients treated with AI. TTP was significantly increased in patients with the rs4646 variant compared with the wild-type gene (hazard ratio (HR) = 0.51 [95 % confidence interval (CI), 0.33-0.78], P = 0.002). Seven studies analyzed the association between AEs with different polymorphisms of CYP19A1. Although there was a statistically significant association with musculoskeletal adverse events (rs934635, rs60271534, rs700518rs, and haplotype M_3_5) and with vasomotor symptoms (rs934635, rs1694189, rs7176005, and haplotype M_5_3) in individual studies, similar associations were not observed in further studies. No statistically significant association between musculoskeletal AEs and SNPs rs4646, rs10046, rs727479, and rs1062033 was found.

conclusionsThese findings suggest that the presence of the rs4646 variant may be a predictive factor of the benefit of AI treatment for BC. The effects of CYP19A1 polymorphisms on clinical outcomes were most often detected in individual studies, suggesting that longer-term studies will better clarify these associations. Additional studies are needed to clarify the predictive value of other SNPs and whether CYP19A1 genotyping should be used to guide AI treatment.

Indexed as

Breast NeoplasmsAromataseAromatase InhibitorsBiomarkers, TumorDrug-Related Side Effects and Adverse ReactionsDrug Resistance, NeoplasmFemaleGenetic TestingHaplotypesHumansPharmacogeneticsPolymorphism, Single NucleotidePredictive Value of TestsPrognosisAromataseAromatase InhibitorsBiomarkers, TumorCYP19A1 protein, human

Identifiers

PMID26067721
PMCPMC4475294
OpenAlexW1686298519

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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.