Clinical parameter-based prediction of DNA methylation classification generates a prediction model of prognosis in patients with juvenile myelomonocytic leukemia

Clinical parameter-based prediction of DNA methylation classification generates a prediction model of prognosis in patients with juvenile myelomonocytic leukemia

Abstract Juvenile myelomonocytic leukemia (JMML) is a rare heterogeneous hematological malignancy of early childhood characterized by causative RAS pathway mutations. Classifying patients with JMML using global DNA methylation profiles is useful for risk stratification. We implemented machine learni...

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Bibliographic Details
Main Authors: Takahiro Imaizumi, Julia Meyer, Manabu Wakamatsu, Hironobu Kitazawa, Norihiro Murakami, Yusuke Okuno, Taro Yoshida, Daichi Sajiki, Asahito Hama, Seiji Kojima, Yoshiyuki Takahashi, Mignon Loh, Elliot Stieglitz, Hideki Muramatsu
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-18733-4

Internet

https://doi.org/10.1038/s41598-022-18733-4

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