Evidence map›Paper›PMID 42043678›Full record

ReviewDiscover oncology2026

The crosstalk between epigenetics and metabolism in the malignant cell.

Adrian Bogdan Tigu, Andrei Ivancuta, Catalin Sorin Constantinescu, Vlad Moisoiu, Olga Grajdieru, Ciprian Cucoreanu, Madalina Nistor, David Kegyes, Anamaria Bancos, Victor Tomacinschii and 4 more

Abstract readReview
In one paragraph

Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Adrian Bogdan Tigu *Department of Personalized Medicine and Rare Diseases, MEDFUTURE-Institute for Biomedical Research, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania.
Andrei Ivancuta *Department of Personalized Medicine and Rare Diseases, MEDFUTURE-Institute for Biomedical Research, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania.
Catalin Sorin ConstantinescuDepartment of Anesthesia and Intensive Care, Iuliu Hatieganu University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania.
Vlad MoisoiuDepartment of Personalized Medicine and Rare Diseases, MEDFUTURE-Institute for Biomedical Research, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania.
Olga GrajdieruDepartment of Anesthesia and Intensive Care, Iuliu Hatieganu University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania.
Ciprian CucoreanuDepartment of General Surgery, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400012, Cluj-Napoca, Romania.
Madalina NistorDepartment of Personalized Medicine and Rare Diseases, MEDFUTURE-Institute for Biomedical Research, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania.
David KegyesDepartment of Personalized Medicine and Rare Diseases, MEDFUTURE-Institute for Biomedical Research, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania.
Anamaria BancosDepartment of Hematology, Iuliu Hațieganu University of Medicine and Pharmacy, 400347, Cluj-Napoca, Romania.
Victor TomacinschiiDepartment of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova.
Sanda BuruianaDepartment of Hematology, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova.
Alina TanaseDepartment of Stem Cell Transplantation, Fundeni Clinical Institute, Bucharest, Romania.
Diana GuleiDepartment of Personalized Medicine and Rare Diseases, MEDFUTURE-Institute for Biomedical Research, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania.
Ciprian TomuleasaDepartment of Personalized Medicine and Rare Diseases, MEDFUTURE-Institute for Biomedical Research, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349, Cluj-Napoca, Romania. ciprian.tomuleasa@umfcluj.ro.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic-epigenetic coupling is recognized as a central hallmark of malignant transformation, characterized by dynamic interplay between cellular metabolism and epigenetic regulation. Cancer cells undergo metabolic reprogramming to meet new demands due to increased biosynthesis and shifted bioenergetics. These changes are responsible for the production of metabolites that are used as substrates or cofactors for key enzymes involved in epigenetic regulation. Thereby, the chromatin structure and gene expression suffer critical changes. Epigenetic modifications including DNA methylation, histone acetylation or non-coding RNA activity, are regulating the transcription of metabolic genes, reshaping the tumor metabolic phenotype. The bidirectional crosstalk between epigenetics and metabolism drives key cancer hallmarks such as proliferation, immune evasion, and drug resistance. Recent discoveries in multi-omics, single-cell sequencing and spatial transcriptomics have opened a new era of high-resolution mapping of metabolic and epigenetic alterations, revealing the high heterogeneity in tumor cells and highlight novel therapeutic targets. In this review we aim to summarize the latest approaches in technological advances in integrated metabolomics and epigenomics, to highlight the critical crosstalk between metabolism and epigenetic changes, and to underscore the need of a deep understanding of these interactions for integrating the multi-omics approach in precision oncology.

Indexed as

EpigeneticsInterdisciplinary approachMetabolic reprogrammingMethylationPrecision oncology

Identifiers

PMID42043678
PMCPMC13253946

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.