ArticleJournal for immunotherapy of cancer2021
DNA methylation-based prediction of response to immune checkpoint inhibition in metastatic melanoma.
Article in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.
- Machine learning in the prediction of immunotherapy response and prognosis of melanoma: a systematic review and meta-analysis.Frontiers in immunology · 2024Pooled it
- Long-read sequencing of single cell-derived melanoma sublines reveals divergent and parallel genomic and epigenomic evolutionary trajectories.Nature communications · 2026Article
- Establishment and Performance Evaluation of a Multiplexed TET2-APOBEC-Mediated cfDNA Methylation Detection Workflow Using qPCR and dPCR Readouts.Journal of personalized medicine · 2026Article
- Tumor DNA methylation subtypes predict immunotherapy outcomes in pleural mesothelioma patients in the NIBIT-EPI-MESO study.Nature genetics · 2026Article
- The CpG island methylator phenotype defines an immune-cold and therapy-resistant subtype of cutaneous melanoma.Frontiers in immunology · 2026Article
- Association of immune-related gene DNA methylation patterns with tumor progression in colorectal cancer: a clinical translational study.American journal of translational research · 2026Article
- Long-read sequencing of single cell-derived melanoma subclones reveals divergent and parallel genomic and epigenomic evolutionary trajectories.bioRxiv : the preprint server for biology · 2025Article
- DNA methylation analysis reveals an epigenetic signature distinctive of high-grade oligodendroglioma.Acta neuropathologica · 2025Article
- Integrated multi-omics profiling reveals the role of the DNA methylation landscape in shaping biological heterogeneity and clinical behaviour of metastatic melanoma.Journal of experimental & clinical cancer research : CR · 2025Article
- Direct genetic transformation bypasses tumor-associated DNA methylation alterations.Genome biology · 2025Article
- The clinical application of artificial intelligence in cancer precision treatment.Journal of translational medicine · 2025Review
- A review on trends in development and translation of omics signatures in cancer.Computational and structural biotechnology journal · 2024Review
- DNA Methylation Classes of Stage II and III Primary Melanomas and Their Clinical and Prognostic Significance.JCO precision oncology · 2024Article
- MetDecode: methylation-based deconvolution of cell-free DNA for noninvasive multi-cancer typing.Bioinformatics (Oxford, England) · 2024Article
- DNA methylation variations of DNA damage response correlate survival and local immune status in melanomas.Immunity, inflammation and disease · 2024Article
- Genomic and Epigenomic Biomarkers of Immune Checkpoint Immunotherapy Response in Melanoma: Current and Future Perspectives.International journal of molecular sciences · 2024Review
- Artificial neural network identified a 20-gene panel in predicting immunotherapy response and survival benefits after anti-PD1/PD-L1 treatment in glioblastoma patients.Cancer medicine · 2024Article
- Conserved methylation signatures associate with the tumor immune microenvironment and immunotherapy response.Genome medicine · 2024Article
- Immunotherapy and Cancer: The Multi-Omics Perspective.International journal of molecular sciences · 2024Review
- Informing immunotherapy with multi-omics driven machine learning.NPJ digital medicine · 2024Review
Corrections and comments
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Authors and funding
15 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTherapies based on targeting immune checkpoints have revolutionized the treatment of metastatic melanoma in recent years. Still, biomarkers predicting long-term therapy responses are lacking.
methodsA novel approach of reference-free deconvolution of large-scale DNA methylation data enabled us to develop a machine learning classifier based on CpG sites, specific for latent methylation components (LMC), that allowed for patient allocation to prognostic clusters. DNA methylation data were processed using reference-free analyses (MeDeCom) and reference-based computational tumor deconvolution (MethylCIBERSORT, LUMP).
resultsWe provide evidence that DNA methylation signatures of tumor tissue from cutaneous metastases are predictive for therapy response to immune checkpoint inhibition in patients with stage IV metastatic melanoma.
conclusionsThese results demonstrate that LMC-based segregation of large-scale DNA methylation data is a promising tool for classifier development and treatment response estimation in cancer patients under targeted immunotherapy.
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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.