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dc.contributor.authorAure, Miriam R
dc.contributor.authorFleischer, Thomas
dc.contributor.authorBjørklund, Sunniva
dc.contributor.authorAnkill, Jørgen
dc.contributor.authorCastro-Mondragon, Jaime A
dc.contributor.authorBørresen-Dale, Anne-Lise
dc.contributor.authorTost, Jörg
dc.contributor.authorSahlberg, Kristine K
dc.contributor.authorMathelier, Anthony
dc.contributor.authorTekpli, Xavier
dc.contributor.authorKristensen, Vessela N
dc.date.accessioned2021-05-04T05:02:17Z
dc.date.available2021-05-04T05:02:17Z
dc.date.issued2021
dc.identifier.citationGenome Medicine. 2021 Apr 29;13(1):72
dc.identifier.urihttp://hdl.handle.net/10852/85911
dc.description.abstractBackground Abnormal DNA methylation is observed as an early event in breast carcinogenesis. However, how such alterations arise is still poorly understood. microRNAs (miRNAs) regulate gene expression at the post-transcriptional level and play key roles in various biological processes. Here, we integrate miRNA expression and DNA methylation at CpGs to study how miRNAs may affect the breast cancer methylome and how DNA methylation may regulate miRNA expression. Methods miRNA expression and DNA methylation data from two breast cancer cohorts, Oslo2 (n = 297) and The Cancer Genome Atlas (n = 439), were integrated through a correlation approach that we term miRNA-methylation Quantitative Trait Loci (mimQTL) analysis. Hierarchical clustering was used to identify clusters of miRNAs and CpGs that were further characterized through analysis of mRNA/protein expression, clinicopathological features, in silico deconvolution, chromatin state and accessibility, transcription factor binding, and long-range interaction data. Results Clustering of the significant mimQTLs identified distinct groups of miRNAs and CpGs that reflect important biological processes associated with breast cancer pathogenesis. Notably, two major miRNA clusters were related to immune or fibroblast infiltration, hence identifying miRNAs associated with cells of the tumor microenvironment, while another large cluster was related to estrogen receptor (ER) signaling. Studying the chromatin landscape surrounding CpGs associated with the estrogen signaling cluster, we found that miRNAs from this cluster are likely to be regulated through DNA methylation of enhancers bound by FOXA1, GATA2, and ER-alpha. Further, at the hub of the estrogen cluster, we identified hsa-miR-29c-5p as negatively correlated with the mRNA and protein expression of DNA methyltransferase DNMT3A, a key enzyme regulating DNA methylation. We found deregulation of hsa-miR-29c-5p already present in pre-invasive breast lesions and postulate that hsa-miR-29c-5p may trigger early event abnormal DNA methylation in ER-positive breast cancer. Conclusions We describe how miRNA expression and DNA methylation interact and associate with distinct breast cancer phenotypes.
dc.language.isoeng
dc.rightsThe Author(s)
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleCrosstalk between microRNA expression and DNA methylation drives the hormone-dependent phenotype of breast cancer
dc.typeJournal article
dc.date.updated2021-05-04T05:02:18Z
dc.creator.authorAure, Miriam R
dc.creator.authorFleischer, Thomas
dc.creator.authorBjørklund, Sunniva
dc.creator.authorAnkill, Jørgen
dc.creator.authorCastro-Mondragon, Jaime A
dc.creator.authorBørresen-Dale, Anne-Lise
dc.creator.authorTost, Jörg
dc.creator.authorSahlberg, Kristine K
dc.creator.authorMathelier, Anthony
dc.creator.authorTekpli, Xavier
dc.creator.authorKristensen, Vessela N
dc.identifier.cristin1917406
dc.identifier.doihttps://doi.org/10.1186/s13073-021-00880-4
dc.identifier.urnURN:NBN:no-88572
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/85911/1/13073_2021_Article_880.pdf
dc.type.versionPublishedVersion
cristin.articleid72


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Attribution 4.0 International
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