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Gene expression signatures of 64 T-ALL patient diagnosis samples

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NIAID Data Ecosystem2026-03-11 收录
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Genetic studies have shown that human T-ALLs can be divided into subgroups that are characterized by unique gene expression signatures and relate to stages of T-cell differentiation at which the leukemic cells arrest. Each molecular subgroup has characteristic genetic abnormalities that cause aberrant activation of specific T-ALL transcription factor oncogenes, including LYL1/MEF2C, HOXA, TLX1, TLX3 and TAL1/LMO2. Notably, the recently described Early T-cell Precursor ALL (ETP-ALL) patients have leukemic cells that show an early block in T-cell differentiation and significantly overlap with LYL1-positive T-ALL and MEF2C-dysregulated immature T-ALL. We studied the gene expression profiles of 64 primary T-ALL samples and found a high BCL-2 expression in immature T-ALL patients compared to patients belonging to other subgroups. Gene expression profiling of 64 T-ALL patient samples

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2019-03-25
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