ArticleNature communications2016
Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- The Methionine-Mitochondria Axis in Cancer: Metabolic Cross-Talk and Therapeutic Vulnerabilities.Current pharmacology reports · 2026Review
- Nutrition-Based Paternal Influence on Gynecological Diseases in Female Offspring via Epigenetic Mechanisms.Nutrients · 2025Review
- Multiomics analysis reveals the involvement of NET1 in tumour immune regulation and malignant progression.Scientific reports · 2025Article
- Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target.Nature metabolism · 2023Article
- Article
- Multi-Omics Analysis of Molecular Characteristics and Carcinogenic Effect of NFE2L3 in Pan-Cancer.Frontiers in genetics · 2022Article
- Targeting cancer-specific metabolic pathways for developing novel cancer therapeutics.Frontiers in immunology · 2022Review
- Metabolic Reprogramming of Colorectal Cancer Cells and the Microenvironment: Implication for Therapy.International journal of molecular sciences · 2021Review
- The regulation mechanisms and the Lamarckian inheritance property of DNA methylation in animals.Mammalian genome : official journal of the International Mammalian Genome Society · 2021Review
- mTORC1 stimulates cell growth through SAM synthesis and mMolecular cell · 2021Article
- Identification of prognosis-related molecular subgroups based on DNA methylation in pancreatic cancer.Clinical epigenetics · 2021Article
- The Role of Tumour Metabolism in Cisplatin Resistance.Frontiers in molecular biosciences · 2021Review
- In Silico Model for Chemical-Induced Chromosomal Damages Elucidates Mode of Action and Irrelevant Positives.Genes · 2020Article
- Silencing NID2 by DNA Hypermethylation Promotes Lung Cancer.Pathology oncology research : POR · 2020Article
- Identification of Key Histone Modifications and Their Regulatory Regions on Gene Expression Level Changes in Chronic Myelogenous Leukemia.Frontiers in cell and developmental biology · 2020Article
- Methionine metabolism in health and cancer: a nexus of diet and precision medicine.Nature reviews. Cancer · 2019Review
- Genome-wide germline correlates of the epigenetic landscape of prostate cancer.Nature medicine · 2019Article
- Control and regulation of S-Adenosylmethionine biosynthesis by the regulatory β subunit and quinolone-based compounds.The FEBS journal · 2019Article
- Methionine at the Heart of Anabolism and Signaling: Perspectives From Budding Yeast.Frontiers in microbiology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Altered DNA methylation is common in cancer and often considered an early event in tumorigenesis. However, the sources of heterogeneity of DNA methylation among tumours remain poorly defined. Here we capitalize on the availability of multi-platform data on thousands of human tumours to build integrative models of DNA methylation. We quantify the contribution of clinical and molecular factors in explaining intertumoral variability in DNA methylation. We show that the levels of a set of metabolic genes involved in the methionine cycle is predictive of several features of DNA methylation in tumours, including the methylation of cancer genes. Finally, we demonstrate that patients whose DNA methylation can be predicted from the methionine cycle exhibited improved survival over cases where this regulation is disrupted. This study represents a comprehensive analysis of the determinants of methylation and demonstrates the surprisingly large interaction between metabolism and DNA methylation variation. Together, our results quantify links between tumour metabolism and epigenetics and outline clinical implications.
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Registered trials
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