Gene expression-based classification as an independent predictor of clinical outcome in juvenile myelomonocytic leukemia

Journal of Clinical Oncology

Volumn 28, Issue 11, 2010, Pages 1919-1927

  Bresolin, Silvia ^a   Zecca, Marco ^a   Flotho, Christian ^a   Trentin, Luca ^a   Zangrando, Andrea ^a   Sainati, Laura ^a   Stary, Jan ^a   De Moerloose, Barbara ^a   Hasle, Henrik ^a   Niemeyer, Charlotte M ^a   Te Kronnie, Geertruy ^a   Locatelli, Franco ^a   Basso, Giuseppe ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE GRANULOCYTIC LEUKEMIA; ADOLESCENT; ARTICLE; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CANCER SURVIVAL; CHILD; CLINICAL ARTICLE; DIAGNOSTIC CLASSIFICATION MODEL; FEMALE; GENE EXPRESSION; HEMATOPOIETIC STEM CELL TRANSPLANTATION; HUMAN; JUVENILE MYELOMONOCYTIC LEUKEMIA; LEUKEMIA RELAPSE; MALE; MICROARRAY ANALYSIS; MYELODYSPLASTIC SYNDROME; OUTCOME ASSESSMENT; PRESCHOOL CHILD; PRIORITY JOURNAL; PROGNOSIS; SCHOOL CHILD; CANCER STAGING; CLASSIFICATION; CLINICAL TRIAL; COMPARATIVE STUDY; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; INFANT; METABOLISM; MULTICENTER STUDY; SURVIVAL RATE; TREATMENT OUTCOME; TUMOR RECURRENCE;

TUMOR MARKER;

ADOLESCENT; CHILD; CHILD, PRESCHOOL; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; INFANT; LEUKEMIA, MYELOMONOCYTIC, JUVENILE; MALE; NEOPLASM RECURRENCE, LOCAL; NEOPLASM STAGING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SURVIVAL RATE; TREATMENT OUTCOME; TUMOR MARKERS, BIOLOGICAL;

EID: 77951644021     PISSN: 0732183X     EISSN: 15277755     Source Type: Journal    
DOI: 10.1200/JCO.2009.24.4426     Document Type: Article

References (28)

1. Niemeyer CM, Kratz CP: Paediatric myelodysplastic syndromes and juvenile myelomonocytic leukaemia: Molecular classification and treatment options. Br J Haematol 140:610-624, 2008 (Pubitemid 351300914)
2. Niemeyer CM, Arico M, Basso G, et al: Chronic myelomonocytic leukemia in childhood: A retrospective analysis of 110 cases: European Working Group On Myelodysplastic Syndromes in Childhood (EWOG-MDS). Blood 89:3534-3543, 1997 (Pubitemid 27227076)
3. Niemeyer CM, Locatelli F: Childhood Leukemias. New York, NY, Cambridge University Press, 2006
4. Emanuel PD, Bates LJ, Castleberry RP, et al: Selective hypersensitivity to granulocyte-macrophage colony-stimulating factor by juvenile chronic myeloid leukemia hematopoietic progenitors. Blood 77:925-929, 1991
5. Flotho C, Kratz C, Niemeyer CM: Targeting RAS signaling pathways in juvenile myelomonocytic leukemia. Curr Drug Targets 8:715-725, 2007 (Pubitemid 47603401)
6. Passmore SJ, Chessells JM, Kempski H, et al: Paediatric myelodysplastic syndromes and juvenile myelomonocytic leukaemia in the UK: A population-based study of incidence and survival. Br J Haematol 121:758-767, 2003 (Pubitemid 36718192)
7. Manabe A, Okamura J, Yumura-Yagi K, et al: Allogeneic hematopoietic stem cell transplantation for 27 children with juvenile myelomonocytic leukemia diagnosed based on the criteria of the international JMML working group. Leukemia 16:645-649, 2002 (Pubitemid 34449746)
8. Matsuda K, Shimada A, Yoshida N, et al: Spontaneous improvement of hematologic abnormalities in patients having juvenile myelomonocytic leukemia with specific RAS mutations. Blood 109:5477-5480, 2007 (Pubitemid 46890572)
9. Flotho C, Kratz CP, Bergstrasser E, et al: Genotype-phenotype correlation in cases of juvenile myelomonocytic leukemia with clonal RAS mutations. Blood 111:966-967, 2008; author reply 967-968, 2008
10. Golub TR, Slonim DK, Tamayo P, et al: Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science 286:531-537, 1999
11. Alizadeh AA, Eisen MB, Davis RE, et al: Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403:503-511, 2000 (Pubitemid 30082188)
12. Yeoh EJ, Ross ME, Shurtleff SA, et al: Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell 1:133-143, 2002 (Pubitemid 41039160)
13. Ross ME, Mahfouz R, Onciu M, et al: Gene expression profiling of pediatric acute myelogenous leukemia. Blood 104:3679-3687, 2004 (Pubitemid 39564445)
14. Valk PJ, Verhaak RG, Beijen MA, et al: Prognostically useful gene-expression profiles in acute myeloid leukemia. N Engl J Med 350:1617-1628, 2004 (Pubitemid 38528701)
15. Haferlach T, Kohlmann A, Schnittger S, et al: Global approach to the diagnosis of leukemia using gene expression profiling. Blood 106:1189-1198, 2005 (Pubitemid 41130867)
16. Haferlach T, Kohlmann A, Wieczorek L, et al: Clinical utility of microarray-based gene expression profiling in the diagnosis and subclassification of leukemia: Report from the International Microarray Innovations in Leukemia Study Group. J Clin Oncol doi:10.1200/JCO.2009.23.4732
17. Mills KI, Kohlmann A, Williams PM, et al: Microarray-based classifiers and prognosis models identify subgroups with distinct clinical outcomes and high risk of AML transformation of myelodysplastic syndrome (MDS). Blood 114:1063-1072, 2009
18. Niemeyer CM, Fenu S, Hasle H, et al: Differentiating juvenile myelomonocytic leukemia from infectious disease. Blood 91:365-367, 1998 (Pubitemid 28018771)
19. Locatelli F, Nollke P, Zecca M, et al: Hematopoietic stem cell transplantation (HSCT) in children with juvenile myelomonocytic leukemia (JMML): Results of the EWOG-MDS/EBMT trial. Blood 105:410-419, 2005 (Pubitemid 40053113)
20. Pepe MS, Longton G, Pettinger M, et al: Summarizing data on survival, relapse, and chronic graft-versus-host disease after bone marrow transplantation: Motivation for and description of new methods. Br J Haematol 83:602-607, 1993 (Pubitemid 23117438)
21. Gooley TA, Leisenring W, Crowley J, et al: Estimation of failure probabilities in the presence of competing risks: New representations of old estimators. Stat Med 18:695-706, 1999 (Pubitemid 29126745)
22. Klein JP, Rizzo JD, Zhang MJ, et al: Statistical methods for the analysis and presentation of the results of bone marrow transplants: Part 2 - Regression modeling. Bone Marrow Transplant 28:1001-1011, 2001 (Pubitemid 34030645)
23. Kaplan EL, Meier P: Nonparametric estimation from incomplete observations. Am Stat Assoc 53, 1958
24. Byar DP: Identification of prognostic factors, in Buyse ME, Staquet MJ, Sylvester RJ (eds): Cancer Clinical Trials Methods and Practice. Oxford, United Kingdom, Oxford Medical Publications, 1988, pp 423-443
25. Cox DR: Regression models and life tables. J Royal Stat Soc B 34:187-220, 1972
26. Benjamini Y, Hochberg Y: Controlling the false discovery rate: A practical and powerful approach to multiple testing. J Royal Stat Soc B 57:289-300, 1995
27. Zandi S, Mansson R, Tsapogas P, et al: EBF1 is essential for B-lineage priming and establishment of a transcription factor network in common lymphoid progenitors. J Immunol 181:3364-3372, 2008
28. Walter K, Bonifer C, Tagoh H: Stem cell-specific epigenetic priming and B cell-specific transcriptional activation at the mouse Cd19 locus. Blood 112:1673-1682, 2008