|
|
Blood, 15 January 2005, Vol. 105, No. 2, pp. 821-826.
Prepublished online as a Blood First Edition Paper on September 23, 2004; DOI 10.1182/blood-2004-04-1552.
Previous Article | Table of Contents | Next Article 
NEOPLASIA
Distinct gene expression profiles determine molecular treatment response in childhood acute lymphoblastic leukemia
Gunnar Cario,
Martin Stanulla,
Bernard M. Fine,
Oliver Teuffel,
Nils v. Neuhoff,
André Schrauder,
Thomas Flohr,
Beat W. Schäfer,
Claus R. Bartram,
Karl Welte,
Brigitte Schlegelberger, and
Martin Schrappe
From the Department of Pediatric Hematology and Oncology, Institute for Cell and Molecular Pathology, Hannover Medical School, Germany; the Institute of Human Genetics, University of Heidelberg, Germany; the Center for Molecular Biology in Medicine, Veterans Affairs, Palo Alto Health Care System, Stanford University School of Medicine, CA; and the Department of Oncology, University Children's Hospital Zurich, Switzerland.
Treatment resistance, as indicated by the presence of high levels of minimal residual disease (MRD) after induction therapy and induction consolidation, is associated with a poor prognosis in childhood acute lymphoblastic leukemia (ALL). We hypothesized that treatment resistance is an intrinsic feature of ALL cells reflected in the gene expression pattern and that resistance to chemotherapy can be predicted before treatment. To test these hypotheses, gene expression signatures of ALL samples with high MRD load were compared with those of samples without measurable MRD during treatment. We identified 54 genes that clearly distinguished resistant from sensitive ALL samples. Genes with low expression in resistant samples were predominantly associated with cell-cycle progression and apoptosis, suggesting that impaired cell proliferation and apoptosis are involved in treatment resistance. Prediction analysis using randomly selected samples as a training set and the remaining samples as a test set revealed an accuracy of 84%. We conclude that resistance to chemotherapy seems at least in part to be an intrinsic feature of ALL cells. Because treatment response could be predicted with high accuracy, gene expression profiling could become a clinically relevant tool for treatment stratification in the early course of childhood ALL.

CiteULike Connotea Del.icio.us Digg Reddit Technorati What's this?
This article has been cited by other articles:

|
 |

|
 |
 
M. Schrappe
Risk-adapted stratification and treatment of childhood acute lymphoblastic leukaemia
Radiat Prot Dosimetry,
December 1, 2008;
132(2):
130 - 133.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. Flotho, E. Coustan-Smith, D. Pei, C. Cheng, G. Song, C.-H. Pui, J. R. Downing, and D. Campana
Response: Genes associated with response to therapy in childhood acute lymphoblastic leukemia
Blood,
February 15, 2008;
111(4):
2487 - 2488.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
G. Cario, S. Izraeli, A. Teichert, P. Rhein, J. Skokowa, A. Moricke, M. Zimmermann, A. Schrauder, L. Karawajew, W.-D. Ludwig, et al.
High Interleukin-15 Expression Characterizes Childhood Acute Lymphoblastic Leukemia With Involvement of the CNS
J. Clin. Oncol.,
October 20, 2007;
25(30):
4813 - 4820.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. D. Minna, L. Girard, and Y. Xie
Tumor mRNA Expression Profiles Predict Responses to Chemotherapy
J. Clin. Oncol.,
October 1, 2007;
25(28):
4329 - 4336.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. Lottaz, J. Toedling, and R. Spang
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
Bioinformatics,
September 1, 2007;
23(17):
2256 - 2264.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. S. Winter, Z. Jiang, H. M. Khawaja, T. Griffin, M. Devidas, B. L. Asselin, and R. S. Larson
Identification of genomic classifiers that distinguish induction failure in T-lineage acute lymphoblastic leukemia: a report from the Children's Oncology Group
Blood,
September 1, 2007;
110(5):
1429 - 1438.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. Flotho, E. Coustan-Smith, D. Pei, C. Cheng, G. Song, C.-H. Pui, J. R. Downing, and D. Campana
A set of genes that regulate cell proliferation predicts treatment outcome in childhood acute lymphoblastic leukemia
Blood,
August 15, 2007;
110(4):
1271 - 1277.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. Starkova, J. Madzo, G. Cario, T. Kalina, A. Ford, M. Zaliova, O. Hrusak, and J. Trka
The Identification of (ETV6)/RUNX1-Regulated Genes in Lymphopoiesis Using Histone Deacetylase Inhibitors in ETV6/RUNX1-Positive Lymphoid Leukemic Cells
Clin. Cancer Res.,
March 15, 2007;
13(6):
1726 - 1735.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
Y. Ge, C. L. Haska, K. LaFiura, M. Devidas, S. B. Linda, M. Liu, R. Thomas, J. W. Taub, and L. H. Matherly
Prognostic Role of the Reduced Folate Carrier, the Major Membrane Transporter for Methotrexate, in Childhood Acute Lymphoblastic Leukemia: A Report from the Children's Oncology Group
Clin. Cancer Res.,
January 15, 2007;
13(2):
451 - 457.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. Breit, M. Stanulla, T. Flohr, M. Schrappe, W.-D. Ludwig, G. Tolle, M. Happich, M. U. Muckenthaler, and A. E. Kulozik
Activating NOTCH1 mutations predict favorable early treatment response and long-term outcome in childhood precursor T-cell lymphoblastic leukemia
Blood,
August 15, 2006;
108(4):
1151 - 1157.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
R. Kirschner-Schwabe, C. Lottaz, J. Todling, P. Rhein, L. Karawajew, C. Eckert, A. von Stackelberg, U. Ungethum, D. Kostka, A. E. Kulozik, et al.
Expression of Late Cell Cycle Genes and an Increased Proliferative Capacity Characterize Very Early Relapse of Childhood Acute Lymphoblastic Leukemia
Clin. Cancer Res.,
August 1, 2006;
12(15):
4553 - 4561.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. Flotho, E. Coustan-Smith, D. Pei, S. Iwamoto, G. Song, C. Cheng, C.-H. Pui, J. R. Downing, and D. Campana
Genes contributing to minimal residual disease in childhood acute lymphoblastic leukemia: prognostic significance of CASP8AP2
Blood,
August 1, 2006;
108(3):
1050 - 1057.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. Alexa, J. Rahnenfuhrer, and T. Lengauer
Improved scoring of functional groups from gene expression data by decorrelating GO graph structure
Bioinformatics,
July 1, 2006;
22(13):
1600 - 1607.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. Schmidt, J. Rainer, S. Riml, C. Ploner, S. Jesacher, C. Achmuller, E. Presul, S. Skvortsov, R. Crazzolara, M. Fiegl, et al.
Identification of glucocorticoid-response genes in children with acute lymphoblastic leukemia
Blood,
March 1, 2006;
107(5):
2061 - 2069.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C.-H. Pui and W. E. Evans
Treatment of Acute Lymphoblastic Leukemia
N. Engl. J. Med.,
January 12, 2006;
354(2):
166 - 178.
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
D. French, M. R. Wilkinson, W. Yang, L. de Chaisemartin, E. H. Cook, S. Das, M. J. Ratain, W. E. Evans, J. R. Downing, C.-H. Pui, et al.
Global gene expression as a function of germline genetic variation
Hum. Mol. Genet.,
June 15, 2005;
14(12):
1621 - 1629.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|
|