Literature DB >> 23427833

A functional link between FOXA1 and breast cancer SNPs.

Madhumohan R Katika, Antoni Hurtado.   

Abstract

Genome-wide association studies have revealed a multitude of breast cancer-associated SNPs. The majority of these SNPs are located in noncoding regions of the genome. Yet how they contribute to breast cancer development is unknown. Recently, a groundbreaking study by the Lupien group has shown that risk-associated SNPs of breast cancer are enriched for FOXA1 binding sites, which influences the function of this transcription factor.

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Year:  2013        PMID: 23427833      PMCID: PMC3745646          DOI: 10.1186/bcr3360

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


Background

Breast cancer is a heterogeneous disease and the most frequent tumors are positive for the expression of estrogen receptor (ER) [1] or the epidermal growth factor receptor 2 (HER2) [2]. The transcription factor FOXA1 is a common feature for the majority of these tumors [3,4]. Genomic analyses have revealed that the binding of FOXA1 shows a tissue-specific occupancy and that it is associated with the binding of ER or androgen receptor [5-8]. FOXA1 recruitment to chromatin is mediated by the epigenetic signature consisting of monomethylated and dimethylated histone H3 on lysine 4 (H3K4me1,2) [6]. In the last years, genomic studies have uncovered a multitude of SNPs associated with the risk of breast cancer. However, given that these SNPs are often found in non-coding regions [9], it was unclear how they could be contributing to the development of the disease [10].

Article

In a seminal study published in Nature Genetics, Cowper-Sal Lari and colleagues have integrated genomic methodologies to identify the functional relationship between risk-associated SNPs with high linkage disequilibrium and the transcription factor binding or histone modifications in ER-positive breast cancer subtype [11]. To check the enrichment of risk-associated SNPs in chromatin regions, the authors employed variant-set enrichment analysis. Using this statistical analysis tool, they identified that the breast cancer-associated variant set is strongly enriched for FOXA1, ER binding regions and histone modification H3K4me1 marks. Importantly, the associated variant set from other diseases (for example, prostate cancer, colorectal cancer and bone cancer) did not show the same correlation. Based on these findings, the authors state that the enrichment of the breast cancer-associated SNPs for these transcription factors and histone mark are both cancer type specific and tissue specific. Having shown that breast cancer risk-associated SNPs are enriched with FOXA1 binding sites, the authors tested how these SNPs modulate the binding of the transcription factor to chromatin. They used the intragenomic replicates method, which establishes the effect of individual SNPs on the affinity of a transcription factor binding to chromatin. The authors focused on one of the most studied risk-associated SNPs: rs4784227, which maps within the forkhead motif for FOXA1 genomic interaction. Interestingly, FOXA1 binding affinity was increased for the [T] variant allele compared with the [C] reference allele. Extensive intragenomic replicates analysis and variant-set enrichment analysis on all SNP clusters indicated that more than one-half of them are associated with altered affinity of FOXA1 to chromatin. To verify the effect of the SNP on breast cancer progression the authors focused on the TOX3 gene, which is localized in the rs4784227 risk-associated region. They used chromatin conformation capture assays and they confirmed a physical interaction between the rs4784227 region and the promoter of the TOX3 gene. This result confirms that TOX3 is a gene target of the regulatory region harboring the SNP. Furthermore, the authors analyzed the impact of the different alleles on TOX3 gene expression performing allele-specific expression assay. With this method they showed that the [T] variant allele has a repressive effect on TOX3 expression. Finally, the depletion of TOX3 gene increased significantly the proliferation of breast cancer cells.

Viewpoint

The published study opens a new way to understand the impact of risk-associated SNPs on breast cancer disease. Importantly, the authors have identified a subset of FOXA1 binding regions enriched for risk-associated SNPs, which immediately raises the question of whether the remaining FOXA1 regions also play a critical role in the progression of the disease. On the contrary, not all breast cancer-associated SNPs were associated with FOXA1 binding regions. In future studies it will therefore be of interest to investigate the effect of these SNPs on other transcription factors. Furthermore, the study concludes that more than one-half of the risk-associated SNPs influence FOXA1 binding [11]. FOXA1 has been described to function as a pioneer factor that allows the binding of ER and Androgen Receptor [5]. Recently, the expression of FOXA1 both in ER and HER2 breast cancer cell lines has been also reported to repress transcription [12]. Whether the SNPs are influencing both or any of these functions needs to be determined. Finally, the study also reports that the depletion of TOX3 increased significantly the proliferation of breast cancer cells, suggesting that the rs4784227 risk-associated region might be used as a clinical marker for cancer prognosis. Investigating how other SNPs could impact current breast cancer treatments will be important. The use of SNPs as biomarkers to predict anticancer drug efficacy and risk levels in breast cancer patients is a promising path to explore.

Abbreviations

ER: estrogen receptor; HER2: epidermal growth factor receptor 2; SNP: single nucleotide polymorphism.

Competing interests

The authors declare that they have no competing interests.
  12 in total

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Journal:  Cell       Date:  2008-03-21       Impact factor: 41.582

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5.  A map of human genome variation from population-scale sequencing.

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Review 6.  Human genetic variation and its contribution to complex traits.

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Journal:  Nat Rev Genet       Date:  2009-04       Impact factor: 53.242

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Journal:  Biochem Biophys Res Commun       Date:  2007-11-26       Impact factor: 3.575

8.  Androgen receptor driven transcription in molecular apocrine breast cancer is mediated by FoxA1.

Authors:  Jessica L L Robinson; Stewart Macarthur; Caryn S Ross-Innes; Wayne D Tilley; David E Neal; Ian G Mills; Jason S Carroll
Journal:  EMBO J       Date:  2011-06-24       Impact factor: 11.598

9.  FOXA1 represses the molecular phenotype of basal breast cancer cells.

Authors:  G M Bernardo; G Bebek; C L Ginther; S T Sizemore; K L Lozada; J D Miedler; L A Anderson; A K Godwin; F W Abdul-Karim; D J Slamon; R A Keri
Journal:  Oncogene       Date:  2012-03-05       Impact factor: 9.867

10.  Breast cancer risk-associated SNPs modulate the affinity of chromatin for FOXA1 and alter gene expression.

Authors:  Richard Cowper-Sal lari; Xiaoyang Zhang; Jason B Wright; Swneke D Bailey; Michael D Cole; Jerome Eeckhoute; Jason H Moore; Mathieu Lupien
Journal:  Nat Genet       Date:  2012-09-23       Impact factor: 38.330

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  4 in total

1.  Correlation between Lsp1 (Rs3817198) and Casc (Rs4784227) Polymorphisms and the Susceptibility to Breast Cancer.

Authors:  Zahra Nourolahzadeh; Massoud Houshmand; Fawzia Mostafa Mohammad; Saeed Ghorbian
Journal:  Rep Biochem Mol Biol       Date:  2020-10

2.  The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set.

Authors:  Heloisa Helena Milioli; Renato Vimieiro; Carlos Riveros; Inna Tishchenko; Regina Berretta; Pablo Moscato
Journal:  PLoS One       Date:  2015-07-01       Impact factor: 3.240

3.  Association between the rs4784227-CASC16 polymorphism and the risk of breast cancer: A meta-analysis.

Authors:  Wenji Xu; Yao Zhong; Haihui Yang; Yuhan Gong; Jun Dao; Liping Bao
Journal:  Medicine (Baltimore)       Date:  2022-08-26       Impact factor: 1.817

4.  Association of Genetic Polymorphisms in FOXA1 with the Progression of Genetic Susceptibility to Gastric Cancer.

Authors:  Guo-Wen Ding; Xu-Yu Gu; Zhe Dai; Hui-Wen Pan; Xiao-Yan Wang; Heng Zhang; Yu Fan
Journal:  Gastroenterol Res Pract       Date:  2020-01-27       Impact factor: 2.260

  4 in total

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