Evidence map›Paper›PMID 39407254›Full record

ArticleJournal of translational medicine2024

Differential methylation of circulating free DNA assessed through cfMeDiP as a new tool for breast cancer diagnosis and detection of BRCA1/2 mutation.

Piera Grisolia, Rossella Tufano, Clara Iannarone, Antonio De Falco, Francesca Carlino, Cinzia Graziano, Raffaele Addeo, Marianna Scrima, Francesco Caraglia, Anna Ceccarelli and 7 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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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

17 authors.

Piera Grisolia *Sylvester Comprehensive Cancer Center and Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.
Rossella Tufano *Laboratory of Computational Biology, IRGS, Ariano Irpino, Italy.
Clara IannaroneLaboratory of Molecular and Precision Oncology, Biogem, IRGS, Ariano Irpino, Italy.
Antonio De FalcoLaboratory of Computational Biology, IRGS, Ariano Irpino, Italy.
Francesca CarlinoDepartment of Precision Medicine, University of Campania "Luigi Vanvitelli", Via L. De Crecchio, 7, 80138, Naples, Italy.
Cinzia GrazianoLaboratory of Molecular and Precision Oncology, Biogem, IRGS, Ariano Irpino, Italy.
Raffaele AddeoOncology Unit, S. Giovanni di Dio Hospital, ASL Napoli2 Nord, Frattamaggiore, Italy.
Marianna ScrimaLaboratory of Molecular and Precision Oncology, Biogem, IRGS, Ariano Irpino, Italy.
Francesco CaragliaDepartment of Precision Medicine, University of Campania "Luigi Vanvitelli", Via L. De Crecchio, 7, 80138, Naples, Italy.
Anna CeccarelliMedical Oncology, Catholic University of the Sacred Heart, 00168, Rome, RM, Italy.
Pier Vitale NuzzoDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA.
Alessia Maria CossuLaboratory of Molecular and Precision Oncology, Biogem, IRGS, Ariano Irpino, Italy.
Stefano ForteIOM Ricerca, Viagrande, Italy.
Raffaella GiuffridaIOM Ricerca, Viagrande, Italy.
Michele OrdituraDepartment of Precision Medicine, University of Campania "Luigi Vanvitelli", Via L. De Crecchio, 7, 80138, Naples, Italy.
Michele CaragliaLaboratory of Molecular and Precision Oncology, Biogem, IRGS, Ariano Irpino, Italy.
Michele CeccarelliSylvester Comprehensive Cancer Center and Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA. m.ceccarelli@gmail.com.ORCID 0000-0002-4702-6617

Funding

Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Daniel Bilbao · 2019 to 2026
$24.1M
MIUR P2022FCBLM_002NCI NIH HHS P30 CA240139
6 · The paper itself

Abstract

backgroundRecent studies have highlighted the importance of the cell-free DNA (cfDNA) methylation profile in detecting breast cancer (BC) and its different subtypes. We investigated whether plasma cfDNA methylation, using cell-free Methylated DNA Immunoprecipitation and High-Throughput Sequencing (cfMeDIP-seq), may be informative in characterizing breast cancer in patients with BRCA1/2 germline mutations for early cancer detection and response to therapy.

methodsWe enrolled 23 BC patients with germline mutation of BRCA1 and BRCA2 genes, 19 healthy controls without BRCA1/2 mutation, and two healthy individuals who carried BRCA1/2 mutations. Blood samples were collected for all study subjects at the diagnosis, and plasma was isolated by centrifugation. Cell-free DNA was extracted from 1 mL of plasma, and cfMeDIP-seq was performed for each sample. Shallow whole genome sequencing was performed on the immuno-precipitated samples. Then, the differentially methylated 300-bp regions (DMRs) between 25 BRCA germline mutation carriers and 19 non-carriers were identified. DMRs were compared with tumor-specific regions from public datasets to perform an unbiased analysis. Finally, two statistical classifiers were trained based on the GLMnet and random forest model to evaluate if the identified DMRs could discriminate BRCA-positive from healthy samples.

resultsWe identified 7,095 hypermethylated and 212 hypomethylated regions in 25 BRCA germline mutation carriers compared to 19 controls. These regions discriminate tumors from healthy samples with high accuracy and sensitivity. We show that the circulating tumor DNA of BRCA1/2 mutant breast cancers is characterized by the hypomethylation of genes involved in DNA repair and cell cycle. We uncovered the TFs associated with these DRMs and identified that proteins of the Erythroblast Transformation Specific (ETS) family are particularly active in the hypermethylated regions. Finally, we assessed that these regions could discriminate between BRCA positives from healthy samples with an AUC of 0.95, a sensitivity of 88%, and a specificity of 94.74%.

conclusionsOur study emphasizes the importance of tumor cell-derived DNA methylation in BC, reporting a different methylation profile between patients carrying mutations in BRCA1, BRCA2, and wild-type controls. Our minimally invasive approach could allow early cancer diagnosis, assessment of minimal residual disease, and monitoring of response to therapy.

Indexed as

Breast NeoplasmsDNA MethylationMutationAdultBRCA1 ProteinBRCA2 ProteinCase-Control StudiesCell-Free Nucleic AcidsFemaleGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansMiddle AgedROC CurveBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanCell-Free Nucleic AcidsBRCA1BRCA2Breast cancerCell-free DNAcfMeDIP-seqDMRs

Identifiers

PMID39407254
PMCPMC11476115

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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.