Evidence map›Paper›PMID 41524027›Full record

ArticleNAR genomics and bioinformatics2026

DNA methylation profiles aid to identify putative genome activation histories along lymphomagenesis.

Leone Albinati, Irene D'Onofrio, Rabia Gül Aydin, Houyem Toukabri, Renée Beekman

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Leone AlbinatiDepartment of Genome Biology, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona 08003, Spain.
Irene D'OnofrioDepartment of Genome Biology, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona 08003, Spain.ORCID https://orcid.org/0009-0006-9032-910X
Rabia Gül AydinDepartment of Genome Biology, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona 08003, Spain.
Houyem ToukabriDepartment of Genome Biology, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona 08003, Spain.
Renée BeekmanDepartment of Genome Biology, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona 08003, Spain.ORCID https://orcid.org/0000-0001-7081-7874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation (DNAm) is widely used to leverage biological information in the context of cancer. Active regulatory elements marked by increased chromatin accessibility and specific transcription factor (TF) binding, such as enhancers, show tumor-specific DNAm patterns reflecting the biological forces shaping tumorigenesis. However, DNAm changes also occur at regions that are inactive at histone-mark level in fully developed tumors. Beyond hypermethylation of promoters, these changes are often overlooked, leaving their functional relevance poorly understood. By analyzing DNAm and chromatin state annotations from conventional mantle cell lymphoma (cMCL), we identified a subset of ~300 CpGs with homogeneous cMCL-specific demethylation patterns located in cMCL-inactive regions. We show that these regions contain cMCL-related TF motifs and are flanked by genes with cMCL-specific expression patterns, suggesting a potential regulatory role in lymphomagenesis. We hypothesize that these regions represent DNA demethylation imprints of genome activation prior to full-blown tumor formation, either present in its cell type of origin (COO) or during early stages of tumor formation. Altogether, we put forward a new, DNAm-centered approach to gain insights into potential early tumorigenic events, allowing us to generate novel, further explorable hypotheses to better understand the features playing a role in lymphomagenesis and beyond.

Indexed as

CarcinogenesisDNA MethylationChromatinCpG IslandsGene Expression Regulation, NeoplasticHumansPromoter Regions, GeneticTranscription FactorsChromatinTranscription Factors

Identifiers

PMID41524027
PMCPMC12789802

What Socratic holds

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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 Socratic graph.