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. 2006 Nov;135(4):520-3.
doi: 10.1111/j.1365-2141.2006.06342.x.

Gene expression profiling reveals consistent differences between clinical samples of human leukaemias and their model cell lines

Nicolas Leupin  1 , Alexandre Kuhn, Barbara Hügli, Tobias J Grob, Rolf Jaggi, Andreas Tobler, Mauro Delorenzi, Martin F Fey
Affiliations

Gene expression profiling reveals consistent differences between clinical samples of human leukaemias and their model cell lines

Nicolas Leupin et al. Br J Haematol. 2006 Nov.

Abstract

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.

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Figures

Fig 1
Fig 1
(A) Hierarchical clustering of samples was used to explore the similarities between expression profiles. The branch length represents the distance between two samples or two sample groups. (B) Colour-coded correlation matrix. The colour represents the Pearson's correlation coefficient of the gene expression profiles of each sample pair (scale on the right).
See this image and copyright information in PMC

Comment in

  • Leukaemia cell lines are robust in vitro models.
    MacLeod RA, Drexler HG. MacLeod RA, et al. Br J Haematol. 2008 Jul;142(1):137-8; author reply 138-41. doi: 10.1111/j.1365-2141.2008.07157.x. Epub 2008 Apr 28. Br J Haematol. 2008. PMID: 18445085 No abstract available.

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