Molecular profiling reveals myeloid leukemia cell lines to be faithful model systems characterized by distinct genomic aberrations

Leukemia

Volumn 20, Issue 6, 2006, Pages 994-1001

  Rucker F G ^a   Sander, S ^a   Dohner K ^a   Dohner H ^a   Pollack, J R ^a   Bullinger, Lars ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

Array CGH; Cell line models; Gene expression profiling; Microarray; Myeloid leukemia

Indexed keywords

GENOMIC DNA;

ARTICLE; BONE MARROW CELL; CLUSTER ANALYSIS; COMPARATIVE GENOMIC HYBRIDIZATION; CONTROLLED STUDY; CORRELATION ANALYSIS; CYTOGENETICS; DATA ANALYSIS; DISEASE MODEL; DNA MICROARRAY; GENE AMPLIFICATION; GENE EXPRESSION PROFILING; GENETIC DISORDER; GENOMICS; HUMAN; HUMAN CELL; LEUKEMIA CELL; LEUKEMOGENESIS; MOLECULAR MECHANICS; MYELOID LEUKEMIA; PRIORITY JOURNAL;

EID: 33744458683     PISSN: 08876924     EISSN: 14765551     Source Type: Journal    
DOI: 10.1038/sj.leu.2404235     Document Type: Article

References (34)

1. Harris NL, Jaffe ES, Diebold J, Flandrin G, Muller-Hermelink HK, Vardiman J et al. World Health Organization classification of neoplastic diseases of the hematopoietic and lymphoid tissues: Report of the Clinical Advisory Committee meeting-Airlie House, Virginia, November 1997. J Clin Oncol 1999; 17: 3835-3849.
2. Vardiman JW, Harris NL, Brunning RD. The World Health Organization (WHO) classification of the myeloid neoplasms. Blood 2002; 100: 2292-2302.
3. Frohling S, Scholl C, Gilliland DG, Levine RL. Genetics of myeloid malignancies: Pathogenetic and clinical implications. J Clin Oncol 2005; 23: 6285-6295.
4. Drexler HG, Matsuo AY, MacLeod RA. Continuous hematopoietic cell lines as model systems for leukemia-lymphoma research. Leukemia Res 2000; 24: 881-911.
5. Andersson A, Eden P, Lindgren D, Nilsson J, Lassen C, Heldrup J et al. Gene expression profiling of leukemic cell lines reveals conserved molecular signatures among subtypes with specific genetic aberrations. Leukemia 2005; 19: 1042-1050.
6. Fine BM, Stanulla M, Schrappe M, Ho M, Viehmann S, Harbott J et al. Gene expression patterns associated with recurrent chromosomal translocations in acute lymphoblastic leukemia. Blood 2004; 103: 1043-1049.
7. Pinkel D, Segraves R, Sudar D, Clark S, Poole I, Kowbel D et al. High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays. Nat Genet 1998; 20: 207-211.
8. Pollack JR, Perou CM, Alizadeh AA, Eisen MB, Pergamenschikov A, Williams CF et al. Genome-wide analysis of DNA copy-number changes using cDNA microarrays. Nat Genet 1999; 23: 41-46.
9. Solinas-Toldo S, Lampel S, Stilgenbauer S, Nickolenko J, Benner A, Dohner H et al. Matrix-based comparative genomic hybridization: Biochips to screen for genomic imbalances. Genes Chromosomes Cancer 1997; 20: 399-407.
10. Pollack JR, Iyer VR. Characterizing the physical genome. Nat Genet 2002; 32 (Suppl): 515-521.
11. Sander S, Bullinger L, Karlsson A, Giuriato S, Hernandez-Boussard T, Felsher DW et al. Comparative genomic hybridization on mouse cDNA microarrays and its application to a murine lymphoma model. Oncogene 2005; 24: 6101-6107.
12. Bullinger L, Dohner K, Bair E, Frohling S, Schlenk RF, Tibshirani R et al. Use of gene-expression profiling to identify prognostic subclasses in adult acute myeloid leukemia. N Engl J Med 2004; 350: 1605-1616.
13. Schwaenen C, Nessling M, Wessendorf S, Salvi T, Wrobel G, Radlwimmer B et al. Automated array-based genomic profiling in chronic lymphocytic leukemia: Development of a clinical tool and discovery of recurrent genomic alterations. Proc Natl Acad Sci USA 2004; 101: 1039-1044.
14. Iafrate AJ, Feuk L, Rivera MN, Listewnik ML, Donahoe PK, Qi Y et al. Detection of large-scale variation in the human genome. Nat Genet 2004; 36: 949-951.
15. Sebat J, Lakshmi B, Troge J, Alexander J, Young J, Lundin P et al. Large-scale copy number polymorphism in the human genome. Science 2004; 305: 525-528.
16. Ball CA, Awad IA, Demeter J, Gollub J, Hebert JM, Hernandez-Boussard T et al. The Stanford Microarray Database accommodates additional microarray platforms and data formats. Nucleic Acids Res 2005; 33: D580-582.
17. Eisen MB, Spellman PT, Brown PO, Botstein D. Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 1998; 95: 14863-14868.
18. Tusher VG, Tibshirani R, Chu G. Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci USA 2001; 98: 5116-5121.
19. Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA et al. Molecular portraits of human breast tumours. Nature 2000; 406: 747-752.
20. Gilliland DG, Griffin JD. The roles of FLT3 in hematopoiesis and leukemia. Blood 2002; 100: 1532-1542.
21. Larizza L, Magnani I, Beghini A. The Kasumi-1 cell line: A t(8;21)-kit mutant model for acute myeloid leukemia. Leukemia Lymphoma 2005; 46: 247-255.
22. Ulger C, Toruner GA, Alkan M, Mohammed M, Damani S, Kang J et al. Comprehensive genome-wide comparison of DNA and RNA level scan using microarray technology for identification of candidate cancer-related genes in the HL-60 cell line. Cancer Genet Cytogenet 2003; 147: 28-35.
23. Alvarez S, MacGrogan D, Calasanz MJ, Nimer SD, Jhanwar SC. Frequent gain of chromosome 19 in megakaryoblastic leukemias detected by comparative genomic hybridization. Genes Chromosomes Cancer 2001; 32: 285-293.
24. Licht JD, Sternberg DW. The molecular pathology of acute myeloid leukemia. Hematology (Am Soc Hematol Educ Program) 2005, 137-142.
25. Schnittger S, Kohl TM, Haferlach T, Kern W, Hiddemann W, Spiekermann K et al. KIT-D816 mutations in AML1-ETO positive AML are associated with impaired event-free and overall survival. Blood 2006; 107: 1791-1799.
26. Shimada A, Taki T, Tabuchi K, Tawa A, Horibe K, Tsuchida M et al. KIT mutations, and not FLT3 internal tandem duplication, are strongly associated with a poor prognosis in pediatric acute myeloid leukemia with t(8;21): A study of the Japanese Childhood AML Cooperative Study Group. Blood 2006; 107: 1806-1809.
27. Graf M, Reif S, Hecht K, Pelka-Fleischer R, Kroell T, Pfister K et al. High expression of costimulatory molecules correlates with low relapse-free survival probability in acute myeloid leukemia (AML). Ann Hematol 2005; 84: 287-297.
28. Drexler HG. Review of alterations of the cyclin-dependent kinase inhibitor INK4 family genes p15, p16, p18 and p19 in human leukemia-lymphoma cells. Leukemia 1998; 12: 845-859.
29. Drexler HG DSMZ Catalogue of Cell Lines 2005; http://www.dsmz.de/mutz/ mutzhome.htm.
30. Largaespada DA, Shaughnessy Jr JD, Jenkins NA, Copeland NG. Retroviral integration at the Evi-2 locus in BXH-2 myeloid leukemia cell lines disrupts Nf1 expression without changes in steady-state Ras-GTP levels. J Virol 1995; 69: 5095-5102.
31. Pabst T, Mueller BU, Harakawa N, Schoch C, Haferlach T, Behre G et al. AML1-ETO downregulates the granulocytic differentiation factor C/ EBPalpha in t(8;21) myeloid leukemia. Nat Med 2001; 7: 444-451.
32. Reynaud D, Ravet E, Titeux M, Mazurier F, Renia L, Dubart-Kupperschmitt A et al. SCL/TAL1 expression level regulates human hematopoietic stem cell self-renewal and engraftment. Blood 2005; 106: 2318-2328.
33. Sandberg R, Ernberg I. Assessment of tumor characteristic gene expression in cell lines using a tissue similarity index (TSI). Proc Natl Acad Sci USA 2005; 102: 2052-2057.
34. Drexler HG, Dirks WG, Matsuo Y, MacLeod RA. False leukemia-lymphoma cell lines: An update on over 500 cell lines. Leukemia 2003; 17: 416-426.