T-cell acute lymphoblastic leukaemia: recent molecular biology findings

被引:45
作者
Kraszewska, Monika D. [1 ]
Dawidowska, Malgorzata [1 ]
Szczepanski, Tomasz [2 ,3 ]
Witt, Michal [1 ,4 ]
机构
[1] Polish Acad Sci, Inst Human Genet, Dept Mol & Clin Genet, PL-60479 Poznan, Poland
[2] Med Univ Silesia, Dept Paediat Haematol & Oncol, Zabrze, Poland
[3] Univ Med Ctr, Erasmus MC, Dept Immunol, Rotterdam, Netherlands
[4] Int Inst Mol & Cell Biol, Warsaw, Poland
关键词
paediatric T-ALL; DNA methylation; gene mutations; Ig; TCR gene rearrangements; gene expression profiling; MINIMAL RESIDUAL DISEASE; RECEPTOR GENE REARRANGEMENTS; ISLAND METHYLATOR PHENOTYPE; TUMOR-SUPPRESSOR; NOTCH1; MUTATIONS; CHROMOSOMAL TRANSLOCATION; EXPRESSION PROFILES; TANDEM DUPLICATION; TREATMENT RESPONSE; CLINICAL SUBTYPE;
D O I
10.1111/j.1365-2141.2011.08957.x
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
For many years, T-cell acute lymphoblastic leukaemia (T-ALL) has been considered and treated as a single malignancy, but divergent outcomes in T-ALL patients receiving uniform treatment protocols encouraged intensive research on the molecular biology of this disease. Recent findings in the field demonstrate that T-ALL is much more heterogeneous than originally believed and extremely diverse outcomes of patients require refinement of T-ALL classification, leading to subtype-specific adjustment of treatment. Many different biological features of T-ALL blast cells have recently been found to contribute to disease development and patient outcome and their analysis could potentially be introduced into improved diagnostics and classification of the disease. This review focuses on five key issues of T-ALL biology: chromosome aberrations, gene expression profiles, gene mutations, DNA methylation patterns, and immunoglobulin/T cell receptor (Ig/TCR) gene rearrangements. Additionally, molecular monitoring of minimal residual disease, by far the most reliable independent prognostic factor in T-ALL, has been highlighted in the context of Ig/TCR gene rearrangements. Translation of this biological information into better prognostic classification and more effective treatment should lead to improvement of outcome in T-ALL patients.
引用
收藏
页码:303 / 315
页数:13
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