ArticleSignal transduction and targeted therapy
Integrative analysis of DNA methylation and gene expression identified cervical cancer-specific diagnostic biomarkers.
Article in Signal transduction and targeted therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled 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.
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
82 citing papers in PubMed, 1 synthesis or guideline pooled it, 169 citations in OpenAlex.
- Genetic variation in cis-regulatory domains suggests cell type-specific regulatory mechanisms in immunity.Communications biology · 2023Pooled it
- AI-assisted Radiomic Model for Cervical Cancer Recurrence Prediction: A Multicenter Retrospective Study with Experimental Validation.Radiology. Imaging cancer · 2026Article
- A seven-gene diagnostic and prognostic signature for papillary thyroid carcinoma.Discover oncology · 2026Article
- Artificial Intelligence Design for Race-Based Prostate Cancer Stage Classification With Multilayer Perceptron: Feature Selection Optimization Approach.JMIR formative research · 2026Article
- Advancing the elimination of cervical cancer across Africa.Nature communications · 2026Review
- TMEM130 promoter hypermethylation predicts tumor cell migration in cervical cancer.Journal of molecular histology · 2026Article
- Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives.Proteomics · 2026Review
- Article
- Integrative Analyses of Individual Patient Genomic-Data to Discover Novel Biomarkers: Application to Cervical Pre-Cancer DNA-Methylation Datasets.Cancer informatics · 2026Article
- Gene Mutations and Related Molecular Events in Distant Metastasis of Cervical Cancer: A Review.International journal of medical sciences · 2026Review
- Identification of key biomarkers for myocardial infarction by multi-omics analysis and machine learning.Frontiers in immunology · 2026Article
- Hierarchical clustering defines hypermethylated RSPO2 as early-stage potential biomarker in colorectal cancer.Global medical genetics · 2025Article
- Article
- Brain DNA Methylation Atlas of AppAging cell · 2025Article
- Epigenetic regulation in gynecological cancers: a paradigm shift in immunotherapy strategies.Journal of experimental & clinical cancer research : CR · 2025Review
- Identification of a novel hypermethylation marker, ZSCAN18, and construction of a diagnostic model in cervical cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- Predicting differentially methylated cytosines in TET and DNMT3 knockout mutants via a large language model.Briefings in bioinformatics · 2025Article
- Adenosinergic Signalling in Cervical Cancer Microenvironment.Expert reviews in molecular medicine · 2025Review
- RUNX1 promotes proliferation of cervical cancer through TGFB2-MAPK pathway.Scientific reports · 2025Article
- A novel tertiary lymphoid structure-associated signature accurately predicts patient prognosis and facilitates the selection of personalized treatment strategies for HNSCC.Frontiers in immunology · 2025Article
22 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical cancer is the leading cause of death among women with cancer worldwide. Here, we performed an integrative analysis of Illumina HumanMethylation450K and RNA-seq data from TCGA to identify cervical cancer-specific DNA methylation markers. We first identified differentially methylated and expressed genes and examined the correlation between DNA methylation and gene expression. The DNA methylation profiles of 12 types of cancers, including cervical cancer, were used to generate a candidate set, and machine-learning techniques were adopted to define the final cervical cancer-specific markers in the candidate set. Then, we assessed the protein levels of marker genes by immunohistochemistry by using tissue arrays containing 93 human cervical squamous cell carcinoma samples and cancer-adjacent normal tissues. Promoter methylation was negatively correlated with the local regulation of gene expression. In the distant regulation of gene expression, the methylation of hypermethylated genes was more likely to be negatively correlated with gene expression, while the methylation of hypomethylated genes was more likely to be positively correlated with gene expression. Moreover, we identified four cervical cancer-specific methylation markers, cg07211381 (RAB3C), cg12205729 (GABRA2), cg20708961 (ZNF257), and cg26490054 (SLC5A8), with 96.2% sensitivity and 95.2% specificity by using the tenfold cross-validation of TCGA data. The four markers could distinguish tumors from normal tissues with a 94.2, 100, 100, and 100% AUC in four independent validation sets from the GEO database. Overall, our study demonstrates the potential use of methylation markers in cervical cancer diagnosis and may boost the development of new epigenetic therapies.
Indexed as
Identifiers
What OpenQuestion holds
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.