Observational studyNature communications2017
Genome-wide DNA methylation is predictive of outcome in juvenile myelomonocytic leukemia.
Observational study in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
What it found
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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
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Who cites it
55 citing papers in PubMed, 93 citations in OpenAlex.
- Efficacy of the Allosteric MEK Inhibitor Trametinib in Relapsed and Refractory Juvenile Myelomonocytic Leukemia: a Report from the Children's Oncology Group.Cancer discovery · 2024Trial
- Response to upfront azacitidine in juvenile myelomonocytic leukemia in the AZA-JMML-001 trial.Blood advances · 2021Trial
- Genome-wide DNA methylation analysis pre- and post-lenalidomide treatment in patients with myelodysplastic syndrome with isolated deletion (5q).Annals of hematology · 2021Trial
- Disease burden and conditioning regimens in ASCT1221, a randomized phase II trial in children with juvenile myelomonocytic leukemia: A Children's Oncology Group study.Pediatric blood & cancer · 2018Trial
- Genomic Characterization of Epigenetic Regulator Gene Alterations in Juvenile Myelomonocytic Leukemia Through Whole-Exome Sequencing.Epigenomes · 2026Article
- Clinical Phenotype, Molecular Architecture, and Survival Follow-Up in NRAS- and KRAS-Mutated Juvenile Myelomonocytic Leukemia.Cancers · 2026Article
- Review
- Error-corrected next-generation sequencing for profiling the subclonal genetic architecture of juvenile myelomonocytic leukemia.Leukemia · 2026Article
- Novel humanized loss-of-function NF1 mouse model of juvenile myelomonocytic leukemia.Blood advances · 2026Article
- Epigenetic alterations in Myeloid Malignancies.Advances in experimental medicine and biology · 2026Review
- Clinical and molecular characterization of patients with juvenile myelomonocytic leukaemia.British journal of haematology · 2025Article
- Epigenetic risk stratification in juvenile myelomonocytic leukemia by targeted methylation analysis of the BMP4 locus.Clinical epigenetics · 2025Article
- Assessment of peripheral blood DNA methylation signatures as pharmacodynamic and predictive biomarkers during azacitidine therapy in juvenile myelomonocytic leukaemia: Results of the EWOG-MESRAT study.British journal of haematology · 2025Article
- Article
- Celebrating Ulrik Ringborg: Multi-Omics-Based Patient Stratification for Precision Cancer Treatment.Biomolecules · 2025Review
- Azacytidine Monotherapy in an Infant With Mosaic NRAS-Driven Juvenile Myelomonocytic Leukemia.Pediatric blood & cancer · 2025Article
- Progression and perspectives in disease modeling for Juvenile myelomonocytic leukemia.Medical oncology (Northwood, London, England) · 2024Review
- Article
- LNK/Haematologica · 2024Article
- Comparison of the classifiers based on mRNA, microRNA and lncRNA expression and DNA methylation profiles for the tumor origin detection.Frontiers in genetics · 2024Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
Abstract
Juvenile myelomonocytic leukemia (JMML) is a myeloproliferative disorder of childhood caused by mutations in the Ras pathway. Outcomes in JMML vary markedly from spontaneous resolution to rapid relapse after hematopoietic stem cell transplantation. Here, we hypothesized that DNA methylation patterns would help predict disease outcome and therefore performed genome-wide DNA methylation profiling in a cohort of 39 patients. Unsupervised hierarchical clustering identifies three clusters of patients. Importantly, these clusters differ significantly in terms of 4-year event-free survival, with the lowest methylation cluster having the highest rates of survival. These findings were validated in an independent cohort of 40 patients. Notably, all but one of 14 patients experiencing spontaneous resolution cluster together and closer to 22 healthy controls than to other JMML cases. Thus, we show that DNA methylation patterns in JMML are predictive of outcome and can identify the patients most likely to experience spontaneous resolution.
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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.