Gene expression profiling in acute myeloid leukaemia

被引:2
|
作者
de Jonge, H. J. M. [1 ,2 ]
Huls, G. [2 ]
de Bont, E. S. J. M. [1 ]
机构
[1] Beatrix Childrens Hosp, Dept Paediat, Div Paediat Oncol Haematol, Groningen, Netherlands
[2] Univ Groningen, Univ Med Ctr Groningen, Dept Haematol, Groningen, Netherlands
来源
NETHERLANDS JOURNAL OF MEDICINE | 2011年 / 69卷 / 04期
关键词
Acute myeloid leukaemia; gene expression profiling; microarray; prognostic factors; INTERNAL TANDEM DUPLICATION; ACUTE MYELOGENOUS LEUKEMIA; ACUTE NONLYMPHOCYTIC LEUKEMIA; WORLD-HEALTH-ORGANIZATION; SOUTHWEST-ONCOLOGY-GROUP; POOR PROGNOSTIC-FACTOR; GROUP-B; NORMAL KARYOTYPE; MICRORNA-EXPRESSION; DE-NOVO;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Acute myeloid leukaemia (AML) is a heterogeneous disease characterised by clonal malignant haematopoiesis with a differentiation arrest and excessive proliferation of leukaemic blasts. Over the past decades, the heterogeneity of AML has been illustrated by evolving classifications based on morphology (French-American-British classification (FAB classification), cytogenetic abnormalities (e.g. t(8;21), monosomies etc.), phenotype and/or molecular abnormalities (e.g. Fms-like tyrosine kinase 3 gene internal tandem duplication (FLT3-ITD), mutations in nucleophosmin I (NPM1) and the transcription factor CCAAT/enhancer binding protein alpha (CEBPA), etc.). The current World Health Organisation (WHO) 2008 classification has integrated these classification modalities. Clinically, dissection of AML into various subtypes allows better survival prediction, but has still limited impact on treatment strategies, with the exception of all-trans retinoic acid treatment for AML-M3 and no allogeneic haematopoietic cell transplantation in complete remission (CRI) for patients with normal karyotype bearing an NPM1 mutation without FLT3-ITD. However, enhanced understanding of the molecular biology of AML will likely result in more 'tailor-made' therapies, for example by adding specific tyrosine kinase inhibitors to standard chemotherapy. In this review, we summarise the variables currently used to classify AML. Specifically, the contribution of microarrays in classification, prognosis and understanding of pathobiology of AML is discussed.
引用
下载
收藏
页码:167 / 176
页数:10
相关论文
共 50 条
  • [31] ENL links histone acetylation to oncogenic gene expression in acute myeloid leukaemia
    Liling Wan
    Hong Wen
    Yuanyuan Li
    Jie Lyu
    Yuanxin Xi
    Takayuki Hoshii
    Julia K. Joseph
    Xiaolu Wang
    Yong-Hwee E. Loh
    Michael A. Erb
    Amanda L. Souza
    James E. Bradner
    Li Shen
    Wei Li
    Haitao Li
    C. David Allis
    Scott A. Armstrong
    Xiaobing Shi
    Nature, 2017, 543 : 265 - 269
  • [32] GRAF gene expression in patients with acute and chronic myeloid leukaemia: impact on the prognosis
    Tolbaa, Fetnat M.
    Diab, Safia M.
    El-Ghanam, Doaa M.
    Mahmoud, Ghada M.
    El-Shabrawy, Deena A.
    EGYPTIAN JOURNAL OF HAEMATOLOGY, 2020, 45 (03): : 121 - 128
  • [33] Gene expression analyses in acute myeloid leukaemia (AML): current status and perspectives
    Bacher, U.
    Kohlmann, A.
    Haferlach, C.
    Kern, W.
    Schnittger, S.
    Haferlach, T.
    MEMO-MAGAZINE OF EUROPEAN MEDICAL ONCOLOGY, 2008, 1 (04) : 235 - 241
  • [34] Gene expression analyses in acute myeloid leukaemia (AML): current status and perspectives
    U. Bacher
    A. Kohlmann
    C. Haferlach
    W. Kern
    S. Schnittger
    T. Haferlach
    memo - Magazine of European Medical Oncology, 2008, 1 (4) : 235 - 241
  • [35] Gene expression profiling for diagnosis and therapy in acute leukaemia and other haematologic malignancies
    Bacher, Ulrike
    Kohlmann, Alexander
    Haferlach, Torsten
    CANCER TREATMENT REVIEWS, 2010, 36 (08) : 637 - 646
  • [36] Real-time PCR gene expression profiling for detection of acute leukaemia
    Sakhinia, E
    Yin, JAL
    Hoyland, JA
    Byers, RJ
    JOURNAL OF PATHOLOGY, 2003, 201 : 29A - 29A
  • [37] Classification of pediatric acute myeloid leukemia utilizing gene expression profiling
    Balgobind, B. V.
    Van den Heuvel-Eibrink, M. M.
    Menezes, R. X.
    Reinhardt, D.
    Hollink, I. H. I. M.
    Peters, T. J. C. M.
    Van Wering, E. R.
    Kaspers, G. J. L.
    Cloos, J.
    De Bont, E.
    Cayuela, J.
    Baruchel, A.
    Trka, J.
    Stary, J.
    Pieters, R.
    Zwaan, C. M.
    Den Boer, M. L.
    ANNALS OF HEMATOLOGY, 2008, 87 : S1 - S1
  • [38] Gene expression profiling of acute myeloid leukemias with normal karyotype.
    Vey, N
    Groulet, A
    Mozziconacci, MJ
    Debono, S
    Deraco, S
    Devilard, E
    Toiron, Y
    Tagett, R
    Sainty, D
    Hermitte, F
    Birg, F
    Blaise, D
    Houlgatte, R
    Fert, V
    Birnbaum, D
    Bertucci, F
    BLOOD, 2002, 100 (11) : 745A - 745A
  • [39] Immune Gene Therapy for Acute Myeloid Leukaemia
    Farzaneh, Farzin
    Chan, Lucas
    Hardwick, Nicola
    Ingram, Wendy
    Mufti, Ghulam
    Aloysius, Mark
    Robins, Adrian
    Habib, Nagy
    Bhalla, Joti
    Eremin, Oleg
    Jun, Tye Gee
    Oppenheim, David
    Wells, James
    Cowled, Christopher
    Noble, Alistair
    HUMAN GENE THERAPY, 2010, 21 (09) : 1177 - 1178
  • [40] Survival prediction in acute myeloid leukemia using gene expression profiling
    Lai, Binbin
    Lai, Yanli
    Zhang, Yanli
    Zhou, Miao
    OuYang, Guifang
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2022, 22 (01)