ArticleNature communications2018
Epigenetic profiling for the molecular classification of metastatic brain tumors.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed.
- Cerebrospinal fluid circulating tumor DNA profiling in central nervous system metastases from solid tumors: A prospective multicentre translational analysis of the BrainStorm (OncoDistinct-006) study.The journal of liquid biopsy · 2026Article
- The nutrigenomic-epigenetic axis in cancer: from dietary bioactives to precision oncology.Nutrition & metabolism · 2026Review
- DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification.Genome medicine · 2026Article
- Article
- Νovel methylation biomarkers in liquid biopsy and classifying biosignatures for the clinical management of breast cancer.Breast cancer research : BCR · 2026Article
- Epigenomic and Metabolic Interplay in the Development of Metastatic Brain Tumors.Oncology research · 2026Review
- The Clinical Utility of Cell-Free DNA in Brain Tumor Management: A Comprehensive Review.Journal of molecular neuroscience : MN · 2025Review
- DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics.Clinical epigenetics · 2025Review
- The epigenetic landscape of brain metastasis.Oncogene · 2025Review
- Rapid brain tumor classification from sparse epigenomic data.Nature medicine · 2025Article
- DNA Methyltransferase Inhibition Upregulates the Costimulatory Molecule ICAM-1 and the Immunogenic Phenotype of Melanoma Cells.JID innovations : skin science from molecules to population health · 2025Article
- Autophagy in brain tumors: molecular mechanisms, challenges, and therapeutic opportunities.Journal of translational medicine · 2025Review
- Prediction of brain metastasis development with DNA methylation signatures.Nature medicine · 2025Article
- Brain Tumor Stem Cells: New Perspectives.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model.Frontiers in cardiovascular medicine · 2025Article
- PathMethy: an interpretable AI framework for cancer origin tracing based on DNA methylation.Briefings in bioinformatics · 2024Article
- Beyond the base pairs: comparative genome-wide DNA methylation profiling across sequencing technologies.Briefings in bioinformatics · 2024Article
- Brain Tumors: Development, Drug Resistance, and Sensitization - An Epigenetic Approach.Epigenetics · 2023Review
- EpiGe: A machine-learning strategy for rapid classification of medulloblastoma using PCR-based methyl-genotyping.iScience · 2023Article
- Cerebrospinal fluid methylome-based liquid biopsies for accurate malignant brain neoplasm classification.Neuro-oncology · 2023Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Optimal treatment of brain metastases is often hindered by limitations in diagnostic capabilities. To meet this challenge, here we profile DNA methylomes of the three most frequent types of brain metastases: melanoma, breast, and lung cancers (n = 96). Using supervised machine learning and integration of DNA methylomes from normal, primary, and metastatic tumor specimens (n = 1860), we unravel epigenetic signatures specific to each type of metastatic brain tumor and constructed a three-step DNA methylation-based classifier (BrainMETH) that categorizes brain metastases according to the tissue of origin and therapeutically relevant subtypes. BrainMETH predictions are supported by routine histopathologic evaluation. We further characterize and validate the most predictive genomic regions in a large cohort of brain tumors (n = 165) using quantitative-methylation-specific PCR. Our study highlights the importance of brain tumor-defining epigenetic alterations, which can be utilized to further develop DNA methylation profiling as a critical tool in the histomolecular stratification of patients with brain metastases.
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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.