ReviewOral oncology2016
DNA methylation markers for oral pre-cancer progression: A critical review.
Review in Oral oncology, 2016. 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 30 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
30 citing papers in PubMed.
- Dissecting oral premalignant carcinogenesis: spatial omics mechanisms and nanomedicine-driven therapeutic innovation.Molecular cancer · 2026Review
- A novel prognostic tool for triple-negative breast cancer: creating and testing a parthanatos-related gene model.Translational cancer research · 2025Article
- The Role of Methylation as an Epigenetic Marker in HPV-Related Oral Lesions.Journal of medical virology · 2025Article
- Proteogenomic characterisation of primary oral cancer unveils extracellular matrix remodelling and immunosuppressive microenvironment linked to lymph node metastasis.Clinical and translational medicine · 2025Article
- Proliferative verrucous and homogeneous Leukoplakias exhibit differential methylation patterns.Oral diseases · 2025Article
- Investigation of Genetic Markers for Predicting Oral Cancer Progression and Patient Outcomes.Journal of pharmacy & bioallied sciences · 2024Article
- Assessing the Diagnostic Accuracy of Salivary Biomarkers in Detecting Oral Squamous Cell Carcinoma.Journal of pharmacy & bioallied sciences · 2024Article
- DNA methylome and transcriptome profiling reveal key electrophysiology and immune dysregulation in hypertrophic cardiomyopathy.Epigenetics · 2023Article
- Exploring Possible Diagnostic Precancerous Biomarkers for Oral Submucous Fibrosis: A Narrative Review.Cancers · 2023Review
- Oral squamous cell carcinomas: state of the field and emerging directions.International journal of oral science · 2023Review
- Identification of INHBA as a potential biomarker for gastric cancer through a comprehensive analysis.Scientific reports · 2023Article
- Escape from Cellular Senescence Is Associated with Chromosomal Instability in Oral Pre-Malignancy.Biology · 2023Review
- Improving the Diagnostic Performance by Adding Methylation Marker to Conventional Visual Examination in Identifying Oral Cancer.Diagnostics (Basel, Switzerland) · 2022Article
- Integrated Bioinformatics Analysis Identifies Robust Biomarkers and Its Correlation With Immune Microenvironment in Nonalcoholic Fatty Liver Disease.Frontiers in genetics · 2022Article
- An Overview of DNA Methylation Indicators for the Course of Oral Precancer.Applied bionics and biomechanics · 2022Review
- Epigenetics of Cutaneous Sarcoma.International journal of molecular sciences · 2021Review
- Saliva Gene Promoter Hypermethylation as a Biomarker in Oral Cancer.Journal of clinical medicine · 2021Review
- A contemporary narrative review to guide molecular epidemiology of oral submucous fibrosis.International journal of molecular epidemiology and genetics · 2021Review
- Prognostic Biomarkers on a Competitive Endogenous RNA Network Reveals Overall Survival in Triple-Negative Breast Cancer.Frontiers in oncology · 2021Article
- Oral Submucous Fibrosis: A Review on Biomarkers, Pathogenic Mechanisms, and Treatments.International journal of molecular sciences · 2020Review
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
Although oral cancers are generally preceded by a well-established pre-cancerous stage, there is a lack of well-defined clinical and morphological criteria to detect and signal progression from pre-cancer to malignant tumours. We conducted a critical review to summarize the evidence regarding aberrant DNA methylation patterns as a potential diagnostic biomarker predicting progression. We identified all relevant human studies published in English prior to 30th April 2015 that examined DNA methylation (%) in oral pre-cancer by searching PubMed, Web-of-Science and Embase databases using combined key-searches. Twenty-one studies (18-cross-sectional; 3-longitudinal) were eligible for inclusion in the review, with sample sizes ranging from 4 to 156 affected cases. Eligible studies examined promoter region hyper-methylation of tumour suppressor genes in pathways including cell-cycle-control (n=15), DNA-repair (n=7), cell-cycle-signalling (n=4) and apoptosis (n=3). Hyper-methylated loci reported in three or more studies included p16, p14, MGMT and DAPK. Two longitudinal studies reported greater p16 hyper-methylation in pre-cancerous lesions transformed to malignancy compared to lesions that regressed (57-63.6% versus 8-32.1%; p<0.01). The one study that explored epigenome-wide methylation patterns reported three novel hyper-methylated loci (TRHDE; ZNF454; KCNAB3). The majority of reviewed studies were small, cross-sectional studies with poorly defined control groups and lacking validation. Whilst limitations in sample size and study design preclude definitive conclusions, current evidence suggests a potential utility of DNA methylation patterns as a diagnostic biomarker for oral pre-cancer progression. Robust studies such as large epigenome-wide methylation explorations of oral pre-cancer with longitudinal tracking are needed to validate the currently reported signals and identify new risk-loci and the biological pathways of disease progression.
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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.