TY - JOUR
T1 - Gene expression profiling in MDS and AML
T2 - Potential and future avenues
AU - Theilgaard-Mönch, K.
AU - Boultwood, J.
AU - Ferrari, S.
AU - Giannopoulos, K.
AU - Hernandez-Rivas, J. M.
AU - Kohlmann, A.
AU - Morgan, M.
AU - Porse, B.
AU - Tagliafico, E.
AU - Zwaan, C. M.
AU - Wainscoat, J.
AU - Van Den Heuvel-Eibrink, M. M.
AU - Mills, K.
AU - Bullinger, L.
N1 - Funding Information:
This work is based on the joint research activities under the framework of the European Program for Cooperation in Science and Technology (COST, Action BM0801, WG1) and the European LeukemiaNet funded by the 6th Framework Program of the European Community (WP13 Gene Profiling).
PY - 2011/6
Y1 - 2011/6
N2 - Today, the classification systems for myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) already incorporate cytogenetic and molecular genetic aberrations in an attempt to better reflect disease biology. However, in many MDS/AML patients no genetic aberrations have been identified yet, and even within some cytogenetically well-defined subclasses there is considerable clinical heterogeneity. Recent advances in genomics technologies such as gene expression profiling (GEP) provide powerful tools to further characterize myeloid malignancies at the molecular level, with the goal to refine the MDS/AML classification system, incorporating as yet unknown molecular genetic and epigenetic pathomechanisms, which are likely reflected by aberrant gene expression patterns. In this study, we provide a comprehensive review on how GEP has contributed to a refined molecular taxonomy of MDS and AML with regard to diagnosis, prediction of clinical outcome, discovery of novel subclasses and identification of novel therapeutic targets and novel drugs. As many challenges remain ahead, we discuss the pitfalls of this technology and its potential including future integrative studies with other genomics technologies, which will continue to improve our understanding of malignant transformation in myeloid malignancies and thereby contribute to individualized risk-adapted treatment strategies for MDS and AML patients.
AB - Today, the classification systems for myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) already incorporate cytogenetic and molecular genetic aberrations in an attempt to better reflect disease biology. However, in many MDS/AML patients no genetic aberrations have been identified yet, and even within some cytogenetically well-defined subclasses there is considerable clinical heterogeneity. Recent advances in genomics technologies such as gene expression profiling (GEP) provide powerful tools to further characterize myeloid malignancies at the molecular level, with the goal to refine the MDS/AML classification system, incorporating as yet unknown molecular genetic and epigenetic pathomechanisms, which are likely reflected by aberrant gene expression patterns. In this study, we provide a comprehensive review on how GEP has contributed to a refined molecular taxonomy of MDS and AML with regard to diagnosis, prediction of clinical outcome, discovery of novel subclasses and identification of novel therapeutic targets and novel drugs. As many challenges remain ahead, we discuss the pitfalls of this technology and its potential including future integrative studies with other genomics technologies, which will continue to improve our understanding of malignant transformation in myeloid malignancies and thereby contribute to individualized risk-adapted treatment strategies for MDS and AML patients.
KW - acute myeloid leukemia
KW - connectivity MAP
KW - drug discovery
KW - gene expression profiling
KW - microarray
KW - myelodysplastic syndrome
UR - http://www.scopus.com/inward/record.url?scp=79958097977&partnerID=8YFLogxK
U2 - 10.1038/leu.2011.48
DO - 10.1038/leu.2011.48
M3 - Review article
C2 - 21445077
AN - SCOPUS:79958097977
SN - 0887-6924
VL - 25
SP - 909
EP - 920
JO - Leukemia
JF - Leukemia
IS - 6
ER -