Evidence map›Paper›PMID 27236187›Full record

ArticleCarcinogenesis2016

FGFR2 risk SNPs confer breast cancer risk by augmenting oestrogen responsiveness.

Thomas M Campbell, Mauro A A Castro, Ines de Santiago, Michael N C Fletcher, Silvia Halim, Radhika Prathalingam, Bruce A J Ponder, Kerstin B Meyer

Open access · bronzeAbstract read
In one paragraph

Article in Carcinogenesis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.1field-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

46 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
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  7. Potential Influence ofInternational journal of molecular sciences · 2025
    Article
  8. LowerBiology · 2024
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  9. Review
  10. Prognostic value ofContemporary oncology (Poznan, Poland) · 2024
    Article
  11. Article
  12. FGFR2 genetic variants in women with breast cancer.Molecular medicine reports · 2023
    Article
  13. Review
  14. Article
  15. Review
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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

8 authors at 3 institutions in 3 countries.

Thomas M Campbell
Mauro A A CastroBioinformatics and Systems Biology Lab, Federal University of Paraná (UFPR), Polytechnic Center, Rua Alcides Vieira Arcoverde, 1225 Curitiba, Paraná 81520-260, Brazil.
Ines de Santiago
Michael N C FletcherPresent address: Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Silvia HalimPresent address: Beatson Institute for Cancer Research, Switchback Road, Bearsden, Glasgow G61 1BD, UK.
Radhika PrathalingamPresent address: Abcam, Cambridge Science Park, Milton, Cambridge CB4 0FL, UK.
Bruce A J Ponder
Kerstin B Meyer
Cancer Research UK Scotland Institute · GBGerman Cancer Research Center · DEUniversidade Federal do Paraná · BR

Funding

Cancer Research UK 17031Cancer Research UK 19275Cancer Research UK C20/A17031
6 · The paper itself

Abstract

The fibroblast growth factor receptor 2 (FGFR2) locus is consistently the top hit in genome-wide association studies for oestrogen receptor-positive (ER(+)) breast cancer. Yet, its mode of action continues to be controversial. Here, we employ a systems biology approach to demonstrate that signalling via FGFR2 counteracts cell activation by oestrogen. In the presence of oestrogen, the oestrogen receptor (ESR1) regulon (set of ESR1 target genes) is in an active state. However, signalling by FGFR2 is able to reverse the activity of the ESR1 regulon. This effect is seen in multiple distinct FGFR2 signalling model systems, across multiple cells lines and is dependent on the presence of FGFR2. Increased oestrogen exposure has long been associated with an increased risk of breast cancer. We therefore hypothesized that risk variants should reduce FGFR2 expression and subsequent signalling. Indeed, transient transfection experiments assaying the three independent variants of the FGFR2 risk locus (rs2981578, rs35054928 and rs45631563) in their normal chromosomal context show that these single-nucleotide polymorphisms (SNPs) map to transcriptional silencer elements and that, compared with wild type, the risk alleles augment silencer activity. The presence of risk variants results in lower FGFR2 expression and increased oestrogen responsiveness. We thus propose a molecular mechanism by which FGFR2 can confer increased breast cancer risk that is consistent with oestrogen exposure as a major driver of breast cancer risk. Our findings may have implications for the clinical use of FGFR2 inhibitors.

Indexed as

Genetic Predisposition to DiseaseBreast NeoplasmsEstrogen Receptor alphaEstrogensFemaleGene Expression Regulation, NeoplasticGenome-Wide Association StudyGenotypeHaplotypesHumansMCF-7 CellsReceptor, Fibroblast Growth Factor, Type 2Signal TransductionSystems BiologyESR1 protein, humanEstrogen Receptor alphaEstrogensFGFR2 protein, humanReceptor, Fibroblast Growth Factor, Type 2

Identifiers

PMID27236187
PMCPMC4967216
OpenAlexW2396457993

What OpenQuestion holds

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LicenceCC BY
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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.