ReviewCancers2021
Epigenome Chaos: Stochastic and Deterministic DNA Methylation Events Drive Cancer Evolution.
Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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
19 citing papers in PubMed.
- DNA methylation patterns re-establish during clonal expansion restoring cell-to-cell epialleles heterogeneity.Biology direct · 2026Article
- Hierarchies of resistance to DNA damage response inhibitors: from pathway restoration to replication stress tolerance.Experimental hematology & oncology · 2026Review
- DNA methylation heterogeneity in complex tumor microenvironment: Quantitative methods, influencing factors, and clinical implications.Genes & diseases · 2026Review
- Article
- The oxidative-stress-senescence axis in keratoconus: new insights into corneal degeneration.Frontiers in molecular biosciences · 2025Review
- Ergodic Manipulation of Genome Chaos: Innovative Strategies against Malignant Progression.Current cancer drug targets · 2025Review
- Multiplex digital profiling of DNA methylation heterogeneity for sensitive and cost-effective cancer detection in low-volume liquid biopsies.Science advances · 2024Article
- Risk of Fat Mass- and Obesity-Associated Gene-Dependent Obesogenic Programming by Formula Feeding Compared to Breastfeeding.Nutrients · 2024Review
- Integrating frontiers: a holistic, quantum and evolutionary approach to conquering cancer through systems biology and multidisciplinary synergy.Frontiers in oncology · 2024Review
- Targeting shared pathways in tauopathies and age-related macular degeneration: implications for novel therapies.Frontiers in aging neuroscience · 2024Review
- Pan-precancer and cancer DNA methylation profiles revealed significant tissue specificity of interrupted biological processes in tumorigenesis.Epigenetics · 2023Article
- Review
- Article
- Specific Methyl-CpG Configurations Define Cell Identity through Gene Expression Regulation.International journal of molecular sciences · 2023Article
- Article
- Article
- SHOX2 methylation in Vietnamese patients with lung cancer.Molecular biology reports · 2022Article
- A novel workflow for the qualitative analysis of DNA methylation data.Computational and structural biotechnology journal · 2022Article
- Chromatin Dynamics in Digestive System Cancer: Commander and Regulator.Frontiers in oncology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Cancer evolution is associated with genomic instability and epigenetic alterations, which contribute to the inter and intra tumor heterogeneity, making genetic markers not accurate to monitor tumor evolution. Epigenetic changes, aberrant DNA methylation and modifications of chromatin proteins, determine the "epigenome chaos", which means that the changes of epigenetic traits are randomly generated, but strongly selected by deterministic events. Disordered changes of DNA methylation profiles are the hallmarks of all cancer types, but it is not clear if aberrant methylation is the cause or the consequence of cancer evolution. Critical points to address are the profound epigenetic intra- and inter-tumor heterogeneity and the nature of the heterogeneity of the methylation patterns in each single cell in the tumor population. To analyze the methylation heterogeneity of tumors, new technological and informatic tools have been developed. This review discusses the state of the art of DNA methylation analysis and new approaches to reduce or solve the complexity of methylated alleles in DNA or cell populations.
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Registered trials
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.