Literature DB >> 21445077

Gene expression profiling in MDS and AML: potential and future avenues.

K Theilgaard-Mönch1, J Boultwood, S Ferrari, K Giannopoulos, J M Hernandez-Rivas, A Kohlmann, M Morgan, B Porse, E Tagliafico, C M Zwaan, J Wainscoat, M M Van den Heuvel-Eibrink, K Mills, L Bullinger.   

Abstract

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.

Entities:  

Mesh:

Year:  2011        PMID: 21445077     DOI: 10.1038/leu.2011.48

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  33 in total

1.  High expression of EVI1 and MEL1 is a compelling poor prognostic marker of pediatric AML.

Authors:  A Jo; S Mitani; N Shiba; Y Hayashi; Y Hara; H Takahashi; I Tsukimoto; A Tawa; K Horibe; D Tomizawa; T Taga; S Adachi; T Yoshida; H Ichikawa
Journal:  Leukemia       Date:  2015-01-08       Impact factor: 11.528

2.  Cellular origin of prognostic chromosomal aberrations in AML patients.

Authors:  H Mora-Jensen; J Jendholm; N Rapin; M K Andersen; A S Roug; F O Bagger; L Bullinger; O Winther; N Borregaard; B T Porse; K Theilgaard-Mönch
Journal:  Leukemia       Date:  2015-02-11       Impact factor: 11.528

3.  Low-dose lenalidomide plus cytarabine induce complete remission that can be predicted by genetic profiling in elderly acute myeloid leukemia patients.

Authors:  G Visani; F Ferrara; F Di Raimondo; F Loscocco; G Sparaventi; S Paolini; F Fuligni; A Gazzola; M Rossi; M A Laginestra; M R Caraci; C Riccardi; M Rocchi; A Visani; S A Pileri; P P Piccaluga; A Isidori
Journal:  Leukemia       Date:  2014-01-20       Impact factor: 11.528

4.  Gene expression signature predicts relapse in adult patients with cytogenetically normal acute myeloid leukemia.

Authors:  Christopher J Walker; Krzysztof Mrózek; Hatice Gulcin Ozer; Deedra Nicolet; Jessica Kohlschmidt; Dimitrios Papaioannou; Luke K Genutis; Marius Bill; Bayard L Powell; Geoffrey L Uy; Jonathan E Kolitz; Andrew J Carroll; Richard M Stone; Ramiro Garzon; John C Byrd; Ann-Kathrin Eisfeld; Albert de la Chapelle; Clara D Bloomfield
Journal:  Blood Adv       Date:  2021-03-09

5.  FLT3-ITD-associated gene-expression signatures in NPM1-mutated cytogenetically normal acute myeloid leukemia.

Authors:  Liang Huang; Kuangguo Zhou; Yunfan Yang; Zhen Shang; Jue Wang; Di Wang; Na Wang; Danmei Xu; Jianfeng Zhou
Journal:  Int J Hematol       Date:  2012-06-12       Impact factor: 2.490

6.  Targeted inhibition of cooperative mutation- and therapy-induced AKT activation in AML effectively enhances response to chemotherapy.

Authors:  Montserrat Estruch; Kristian Reckzeh; Camilla Vittori; Anders Centio; Mina Ali; Sophia Engelhard; Ling Zhao; Kyoung Jae Won; Paul Liu; Bo Torben Porse; Kim Theilgaard-Mönch
Journal:  Leukemia       Date:  2020-12-09       Impact factor: 11.528

7.  Marked upregulation of Survivin and Aurora-B kinase is associated with disease progression in the myelodysplastic syndromes.

Authors:  Akira Yoshida; Kouichi Zokumasu; Yuji Wano; Takahiro Yamauchi; Shin Imamura; Kazutaka Takagi; Shinji Kishi; Yoshimasa Urasaki; Kaoru Tohyama; Takanori Ueda
Journal:  Haematologica       Date:  2012-03-14       Impact factor: 9.941

8.  Identification of a 24-gene prognostic signature that improves the European LeukemiaNet risk classification of acute myeloid leukemia: an international collaborative study.

Authors:  Zejuan Li; Tobias Herold; Chunjiang He; Peter J M Valk; Ping Chen; Vindi Jurinovic; Ulrich Mansmann; Michael D Radmacher; Kati S Maharry; Miao Sun; Xinan Yang; Hao Huang; Xi Jiang; Maria-Cristina Sauerland; Thomas Büchner; Wolfgang Hiddemann; Abdel Elkahloun; Mary Beth Neilly; Yanming Zhang; Richard A Larson; Michelle M Le Beau; Michael A Caligiuri; Konstanze Döhner; Lars Bullinger; Paul P Liu; Ruud Delwel; Guido Marcucci; Bob Lowenberg; Clara D Bloomfield; Janet D Rowley; Stefan K Bohlander; Jianjun Chen
Journal:  J Clin Oncol       Date:  2013-02-04       Impact factor: 44.544

9.  Detection of mutant NPM1 mRNA in acute myeloid leukemia using custom gene expression arrays.

Authors:  Martin H van Vliet; Belinda Dumee; Erik Simons; Lars Bullinger; Konstanze Döhner; Hartmut Döhner; Henk Viëtor; Bob Löwenberg; Peter J M Valk; Erik H van Beers
Journal:  Genet Test Mol Biomarkers       Date:  2013-04

10.  Multidrug resistance in relapsed acute myeloid leukemia: evidence of biological heterogeneity.

Authors:  Chirayu Patel; Leif Stenke; Sudhir Varma; Marita Lagergren Lindberg; Magnus Björkholm; Jan Sjöberg; Kristina Viktorsson; Rolf Lewensohn; Ola Landgren; Michael M Gottesman; Jean-Pierre Gillet
Journal:  Cancer       Date:  2013-05-14       Impact factor: 6.860

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