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Gene expression signatures in childhood acute leukemias are largely unique and distinct from those of normal tissues and other malignancies

生物 运行x1 造血 白血病 ETV6 基因 髓样 染色体易位 癌症研究 髓系白血病 癌症 急性白血病 遗传学 干细胞
作者
Anna Andersson,Patrik Edén,Tor Olofsson,Thoas Fioretos
出处
期刊:BMC Medical Genomics [BioMed Central]
卷期号:3 (1): 6-6 被引量:36
标识
DOI:10.1186/1755-8794-3-6
摘要

BACKGROUND: Childhood leukemia is characterized by the presence of balanced chromosomal translocations or by other structural or numerical chromosomal changes. It is well know that leukemias with specific molecular abnormalities display profoundly different global gene expression profiles. However, it is largely unknown whether such subtype-specific leukemic signatures are unique or if they are active also in non-hematopoietic normal tissues or in other human cancer types. METHODS: Using gene set enrichment analysis, we systematically explored whether the transcriptional programs in childhood acute lymphoblastic leukemia (ALL) and myeloid leukemia (AML) were significantly similar to those in different flow-sorted subpopulations of normal hematopoietic cells (n = 8), normal non-hematopoietic tissues (n = 22) or human cancer tissues (n = 13). RESULTS: This study revealed that e.g., the t(12;21) [ETV6-RUNX1] subtype of ALL and the t(15;17) [PML-RARA] subtype of AML had transcriptional programs similar to those in normal Pro-B cells and promyelocytes, respectively. Moreover, the 11q23/MLL subtype of ALL showed similarities with non-hematopoietic tissues. Strikingly however, most of the transcriptional programs in the other leukemic subtypes lacked significant similarity to approximately 100 gene sets derived from normal and malignant tissues. CONCLUSIONS: This study demonstrates, for the first time, that the expression profiles of childhood leukemia are largely unique, with limited similarities to transcriptional programs active in normal hematopoietic cells, non-hematopoietic normal tissues or the most common forms of human cancer. In addition to providing important pathogenetic insights, these findings should facilitate the identification of candidate genes or transcriptional programs that can be used as unique targets in leukemia.
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