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Investigation of relapse prediction in infants with MLL-rearranged Acute Lymphoblastic Leukemia

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NIAID Data Ecosystem2026-03-13 收录
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https://www.omicsdi.org/dataset/ega/EGAS00001003986
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In infants with ALL, accurate relapse prediction would enable treatment strategies that take relapse risk into account, with potential benefits for both low- and high-risk patients. Through analysis of bone marrow biopsies taken at initial diagnosis, we show that single-cell RNA sequencing can predict future relapse occurrence.EGA study EGAS00001003986
创建时间:
2021-10-12
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