Gene expression profiling reveals consistent differences between clinical samples of human leukaemias and their model cell lines.
Microarray gene expression profiles of fresh clinical samples of chronic myeloid leukaemia in chronic phase, acute promyelocytic leukaemia and acute monocytic leukaemia were compared with profiles from cell lines representing the corresponding types of leukaemia (K562, NB4, HL60). In a hierarchical clustering analysis, all clinical samples clustered separately from the cell lines, regardless of leukaemic subtype. Gene ontology analysis showed that cell lines chiefly overexpressed genes related to macromolecular metabolism, whereas in clinical samples genes related to the immune response were abundantly expressed. These findings must be taken into consideration when conclusions from cell line-based studies are extrapolated to patients.
Leupin
Nicolas
N
Department of Medical Oncology, University of Berne, Berne, Switzerland.
Kuhn
Alexandre
A
Hügli
Barbara
B
Grob
Tobias J
TJ
Jaggi
Rolf
R
Tobler
Andreas
A
Delorenzi
Mauro
M
Fey
Martin F
MF
D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D007938:Leukemia / Q000235:genetics* / Q000378:metabolism; D007948:Leukemia, Monocytic, Acute / Q000235:genetics / Q000378:metabolism; D015464:Leukemia, Myelogenous, Chronic, BCR-ABL Positive / Q000235:genetics / Q000378:metabolism; D007951:Leukemia, Myeloid / Q000235:genetics; D015473:Leukemia, Promyelocytic, Acute / Q000235:genetics / Q000378:metabolism; D014407:Tumor Cells, Cultured / Q000378:metabolism*; D015854:Up-Regulation