Evidence map›Paper›PMID 33713365›Full record

ArticleHepatology (Baltimore, Md.)2021

DNA Methylation Signatures Reveal the Diversity of Processes Remodeling Hepatocellular Carcinoma Methylomes.

Léa Meunier, Théo Z Hirsch, Stefano Caruso, Sandrine Imbeaud, Quentin Bayard, Amélie Roehrig, Gabrielle Couchy, Jean-Charles Nault, Josep M Llovet, Jean-Frédéric Blanc and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. NJournal of hepatocellular carcinoma · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Epigenetic remodelling in human hepatocellular carcinoma.Journal of experimental & clinical cancer research : CR · 2022
    Review
  17. Article
  18. Review
  19. Article
  20. Review
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

13 authors at 3 institutions in 3 countries.

Léa MeunierCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.ORCID 0000-0003-1855-7467
Théo Z HirschCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.
Stefano CarusoCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.
Sandrine ImbeaudCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.
Quentin BayardCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.
Amélie RoehrigCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.
Gabrielle CouchyCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.
Jean-Charles NaultCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.
Josep M LlovetMount Sinai Liver Cancer Program, Division of Liver DiseasesTisch Cancer Institute, Icahn School of Medicine at Mount SinaiNew YorkNY.
Jean-Frédéric BlancDepartment of Hepato-Gastroenterology and Digestive OncologyCHU de BordeauxHaut-Lévêque HospitalBordeaux, AquitaineFrance.
Julien CalderaroService d'AnatomopathologieHôpital Henri Mondor; Université Paris Est, INSERM U955, Team 18, Institut Mondor de Recherche BiomédicaleCréteilFrance.
Jessica Zucman-RossiCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.ORCID 0000-0002-5687-0334
Eric LetouzéCentre de Recherche des CordeliersSorbonne Université, INSERM, Université de Paris, Université Paris Nord, Functional Genomics of Solid Tumors Laboratory, Equipe Labellisée Ligue Contre le CancerParisFrance.ORCID 0000-0002-6369-2839
Inserm · FRCentre Hospitalier Universitaire de Bordeaux · FRInstitució Catalana de Recerca i Estudis Avançats · ES

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
Cancer Research UK 26813NCI NIH HHS P30 CA196521
6 · The paper itself

Abstract

BACKGROUND AND

aimsDNA methylation patterns are highly rearranged in HCCs. However, diverse sources of variation are intermingled in cancer methylomes, precluding the precise characterization of underlying molecular mechanisms. We developed a computational framework (methylation signature analysis with independent component analysis [MethICA]) leveraging independent component analysis to disentangle the diverse processes contributing to DNA methylation changes in tumors. APPROACH AND

resultsApplied to a collection of 738 HCCs, MethICA unraveled 13 stable methylation components preferentially active in specific chromatin states, sequence contexts, and replication timings. These included signatures of general processes associated with sex and age but also signatures related to specific driver events and molecular subgroups. Catenin beta 1 mutations were major modulators of methylation patterns in HCC, characterized by a targeted hypomethylation of transcription factor 7-bound enhancers in the vicinity of Wnt target genes as well as a widespread hypomethylation of late-replicated partially methylated domains. By contrast, demethylation of early replicated highly methylated domains was a signature of replication stress, leading to an extensive hypomethylator phenotype in cyclin-activated HCC. Inactivating mutations of the chromatin remodeler AT-rich interactive domain-containing protein 1A were associated with epigenetic silencing of differentiation-promoting transcriptional networks, also detectable in cirrhotic liver. Finally, a hypermethylation signature targeting polycomb-repressed chromatin domains was identified in the G1 molecular subgroup with progenitor features.

conclusionsThis study elucidates the diversity of processes remodeling HCC methylomes and reveals the epigenetic and transcriptional impact of driver alterations.

Indexed as

DNA MethylationGenetic HeterogeneityAgedCarcinoma, HepatocellularCpG IslandsDatasets as TopicEpigenesis, GeneticEpigenomeFemaleGene Regulatory NetworksHumansLiver NeoplasmsMaleMiddle AgedMutationRNA-Seq

Identifiers

PMID33713365
PMCPMC12452108
OpenAlexW3133529542

What OpenQuestion holds

Textmetadata
LicenceTDM
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.