Evidence map›Paper›PMID 37031307›Full record

ArticleCommunications biology2023

High-resolution Nanopore methylome-maps reveal random hyper-methylation at CpG-poor regions as driver of chemoresistance in leukemias.

Alberto Magi, Gianluca Mattei, Alessandra Mingrino, Chiara Caprioli, Chiara Ronchini, Gianmaria Frigè, Roberto Semeraro, Davide Bolognini, Alessandro Rambaldi, Anna Candoni and 3 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Alberto Magi *Department of Information Engineering, University of Florence, Florence, Italy. albertomagi@gmail.com.ORCID http://orcid.org/0000-0001-7393-4283
Gianluca Mattei *Department of Information Engineering, University of Florence, Florence, Italy.
Alessandra MingrinoDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Chiara CaprioliDepartment of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milano, Italy.
Chiara RonchiniDepartment of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milano, Italy.
Gianmaria FrigèDepartment of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milano, Italy.
Roberto SemeraroDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Davide BologniniDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Alessandro RambaldiDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.ORCID http://orcid.org/0000-0002-3739-7502
Anna CandoniClinica Ematologica, Azienda Sanitaria Universitaria Integrata di Udine, Udine, Italy.ORCID http://orcid.org/0000-0003-4436-1310
Emanuela ColomboDepartment of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milano, Italy.ORCID http://orcid.org/0000-0003-2079-7398
Luca MazzarellaDepartment of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milano, Italy.ORCID http://orcid.org/0000-0002-4043-3279
Pier Giuseppe PelicciDepartment of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milano, Italy. piergiuseppe.pelicci@ieo.it.ORCID http://orcid.org/0000-0002-5076-2316
Istituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Florence · ITUniversity of Milan · ITInstitute of Biomedical Technologies · ITOspedale Santa Maria della Misericordia di Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant DNA methylation at CpG dinucleotides is a cancer hallmark that is associated with the emergence of resistance to anti cancer treatment, though molecular mechanisms and biological significance remain elusive. Genome scale methylation maps by currently used methods are based on chemical modification of DNA and are best suited for analyses of methylation at CpG rich regions (CpG islands). We report the first high coverage whole-genome map in cancer using the long read nanopore technology, which allows simultaneous DNA-sequence and -methylation analyses on native DNA. We analyzed clonal epigenomic/genomic evolution in Acute Myeloid Leukemias (AMLs) at diagnosis and relapse, after chemotherapy. Long read sequencing coupled to a novel computational method allowed definition of differential methylation at unprecedented resolution, and showed that the relapse methylome is characterized by hypermethylation at both CpG islands and sparse CpGs regions. Most differentially methylated genes, however, were not differentially expressed nor enriched for chemoresistance genes. A small fraction of under-expressed and hyper-methylated genes at sparse CpGs, in the gene body, was significantly enriched in transcription factors (TFs). Remarkably, these few TFs supported large gene-regulatory networks including 50% of all differentially expressed genes in the relapsed AMLs and highly-enriched in chemoresistance genes. Notably, hypermethylated regions at sparse CpGs were poorly conserved in the relapsed AMLs, under-represented at their genomic positions and showed higher methylation entropy, as compared to CpG islands. Analyses of available datasets confirmed TF binding to their target genes and conservation of the same gene-regulatory networks in large patient cohorts. Relapsed AMLs carried few patient specific structural variants and DNA mutations, apparently not involved in drug resistance. Thus, drug resistance in AMLs can be mainly ascribed to the selection of random epigenetic alterations at sparse CpGs of a few transcription factors, which then induce reprogramming of the relapsing phenotype, independently of clonal genomic evolution.

Indexed as

CpG IslandsDNA MethylationDrug Resistance, NeoplasmEpigenomeLeukemia, Myeloid, AcuteNanoporesAntineoplastic AgentsDNAGene Regulatory NetworksHumansTranscription FactorsAntineoplastic AgentsDNATranscription Factors

Identifiers

PMID37031307
PMCPMC10082806
OpenAlexW4362720561

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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.