Evidence map›Paper›PMID 33907578›Full record

ArticleOncology letters2021

DNA methylation variations in familial female and male breast cancer.

Edoardo Abeni, Ilaria Grossi, Eleonora Marchina, Arianna Coniglio, Paolo Incardona, Pietro Cavalli, Fausto Zorzi, Pier Luigi Chiodera, Carlo Terenzio Paties, Marialuisa Crosatti and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

12 authors at 7 institutions in 2 countries.

Edoardo AbeniDepartment of Molecular and Translational Medicine, Division of Biology and Genetics, University of Brescia, I-25123 Brescia, Italy.
Ilaria GrossiDepartment of Molecular and Translational Medicine, Division of Biology and Genetics, University of Brescia, I-25123 Brescia, Italy.
Eleonora MarchinaDepartment of Molecular and Translational Medicine, Division of Biology and Genetics, University of Brescia, I-25123 Brescia, Italy.
Arianna ConiglioDepartment of Clinical and Experimental Sciences, Surgical Clinic, University of Brescia, I-25123 Brescia, Italy.
Paolo IncardonaAnatomic Pathology, Spedali Civili Brescia, I-25123 Brescia, Italy.
Pietro CavalliBreast Unit, ASST-Bergamo Est, I-24068 Bergamo, Italy.
Fausto ZorziDepartment of Pathology, Fondazione Poliambulanza, I-25124 Brescia, Italy.
Pier Luigi ChioderaPathology Unit, Istituto Clinico Sant'Anna, I-25127 Brescia, Italy.
Carlo Terenzio PatiesDepartment of Oncology and Hematology, Pathology Unit, 'Guglielmo da Saliceto' Hospital, I-29121 Piacenza, Italy.
Marialuisa CrosattiDepartment of Respiratory Sciences, University of Leicester, LE1 7RH Leicester, UK.
Giuseppina De PetroDepartment of Molecular and Translational Medicine, Division of Biology and Genetics, University of Brescia, I-25123 Brescia, Italy.
Alessandro SalviDepartment of Molecular and Translational Medicine, Division of Biology and Genetics, University of Brescia, I-25123 Brescia, Italy.
University of Brescia · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITFondazione Poliambulanza Istituto Ospedaliero · ITGuglielmo da Saliceto Hospital · ITOspedale Sant'Anna · ITUniversity of Bergamo · ITUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In total, ~25% of familial breast cancer (BC) is attributed to germline mutations of the BRCA1 and BRCA2 genes, while the rest of the cases are included in the BRCAX group. BC is also known to affect men, with a worldwide incidence of 1%. Epigenetic alterations, including DNA methylation, have been rarely studied in male breast cancer (MBC) on a genome-wide level. The aim of the present study was to examine the global DNA methylation profiles of patients with BC to identify differences between familial female breast cancer (FBC) and MBC, and according to BRCA1, BRCA2 or BRCAX mutation status. The genomic DNA of formalin-fixed paraffin-embedded tissues from 17 women and 7 men with BC was subjected to methylated DNA immunoprecipitation and hybridized on human promoter microarrays. The comparison between FBC and MBC revealed 2,846 significant differentially methylated regions corresponding to 2,486 annotated genes. Gene Ontology enrichment analysis revealed molecular function terms, such as the GTPase superfamily genes (particularly the GTPase Rho GAP/GEF and GTPase RAB), and cellular component terms associated with cytoskeletal architecture, such as 'cytoskeletal part', 'keratin filament' and 'intermediate filament'. When only FBC was considered, several cancer-associated pathways were among the most enriched KEGG pathways of differentially methylated genes when the BRCA2 group was compared with the BRCAX or BRCA1+BRCAX groups. The comparison between the BRCA1 and BRCA2+BRCAX groups comprised the molecular function term 'cytoskeletal protein binding'. Finally, the functional annotation of differentially methylated genes between the BRCAX and BRCA1+BRCA2 groups indicated that the most enriched molecular function terms were associated with GTPase activity. In conclusion, to the best of our knowledge, the present study was the first to compare the global DNA methylation profile of familial FBC and MBC. The results may provide useful insights into the epigenomic subtyping of BC and shed light on a possible novel molecular mechanism underlying BC carcinogenesis.

Indexed as

DNA methylationepigenomicsfemale breast cancerGene Ontologymale breast cancermethylated DNA immunoprecipitation on chip

Identifiers

PMID33907578
PMCPMC8063268
OpenAlexW3154213962

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.