Evidence map›Paper›PMID 30866861›Full record

ArticleBMC cancer2019

Roadmap of DNA methylation in breast cancer identifies novel prognostic biomarkers.

Bernardo P de Almeida, Joana Dias Apolónio, Alexandra Binnie, Pedro Castelo-Branco

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 147 citations in OpenAlex.

  1. Pooled it
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  11. Decoding the Epigenome of Breast Cancer.International journal of molecular sciences · 2025
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12 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

4 authors at 3 institutions in 3 countries.

Bernardo P de AlmeidaInstitute of Molecular Medicine, Faculty of Medicine, University of Lisbon, 1649-028, Lisbon, Portugal.
Joana Dias ApolónioDepartment of Biomedical Sciences and Medicine, University of Algarve, Campus Gambelas, Bld. 2 - Ala Norte, 8005-139, Faro, Portugal.ORCID http://orcid.org/0000-0002-9727-1813
Alexandra BinnieDepartment of Biomedical Sciences and Medicine, University of Algarve, Campus Gambelas, Bld. 2 - Ala Norte, 8005-139, Faro, Portugal.
Pedro Castelo-BrancoDepartment of Biomedical Sciences and Medicine, University of Algarve, Campus Gambelas, Bld. 2 - Ala Norte, 8005-139, Faro, Portugal. pjbranco@ualg.pt.
Algarve Biomedical Center · PTUniversity of Algarve · PTUniversity of Lisbon · PT

Funding

Fundação para a Ciência e a Tecnologia PD/BD/105899/2014Fundação para a Ciência e a Tecnologia UID/BIM/04773/2013 CBMR
6 · The paper itself

Abstract

backgroundBreast cancer is a highly heterogeneous disease resulting in diverse clinical behaviours and therapeutic responses. DNA methylation is a major epigenetic alteration that is commonly perturbed in cancers. The aim of this study is to characterize the relationship between DNA methylation and aberrant gene expression in breast cancer.

methodsWe analysed DNA methylation and gene expression profiles from breast cancer tissue and matched normal tissue in The Cancer Genome Atlas (TCGA). Genome-wide differential methylation analysis and methylation-gene expression correlation was performed. Gene expression changes were subsequently validated in the METABRIC dataset. The Oncoscore tool was used to identify genes that had previously been associated with cancer in the literature. A subset of genes that had not previously been studied in cancer was chosen for further analysis.

resultsWe identified 368 CpGs that were differentially methylated between tumor and normal breast tissue (∆β > 0.4). Hypermethylated CpGs were overrepresented in tumor tissue and were found predominantly (56%) in upstream promoter regions. Conversely, hypomethylated CpG sites were found primarily in the gene body (66%). Expression analysis revealed that 209 of the differentially-methylated CpGs were located in 169 genes that were differently expressed between normal and breast tumor tissue. Methylation-expression correlations were predominantly negative (70%) for promoter CpG sites and positive (74%) for gene body CpG sites. Among these differentially-methylated and differentially-expressed genes, we identified 7 that had not previously been studied in any form of cancer. Three of these, TDRD10, PRAC2 and TMEM132C, contained CpG sites that showed diagnostic and prognostic value in breast cancer, particularly in estrogen-receptor (ER)-positive samples. A pan-cancer analysis confirmed differential expression of these genes together with diagnostic and prognostic value of their respective CpG sites in multiple cancer types.

conclusionWe have identified 368 DNA methylation changes that characterize breast cancer tumor tissue, of which 209 are associated with genes that are differentially-expressed in the same samples. Novel DNA methylation markers were identified, of which cg12374721 (PRAC2), cg18081940 (TDRD10) and cg04475027 (TMEM132C) show promise as diagnostic and prognostic markers in breast cancer as well as other cancer types.

Indexed as

Databases, GeneticBiomarkers, TumorBreast NeoplasmsDNA MethylationGenome-Wide Association StudyHumansPrognosisBiomarkers, TumorBiomarkersBreast cancerDiagnosticDNA methylationPrognostic

Identifiers

PMID30866861
PMCPMC6416975
OpenAlexW2939094855

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.