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PubMed · 17061979

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

Nicolas Leupin·Alexandre Kuhn·Barbara Hügli·Tobias J Grob·Rolf Jaggi·Andreas Tobler·Mauro Delorenzi·Martin F Fey
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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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Gene ExpressionGene Expression ProfilingHumansLeukemiaLeukemia, Monocytic, AcuteLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, MyeloidLeukemia, Promyelocytic, AcuteTumor Cells, CulturedUp-RegulationJournal ArticleResearch Support, Non-U.S. Gov't

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Nicolas Leupin, Alexandre Kuhn, Barbara Hügli, Tobias J Grob, Rolf Jaggi, Andreas Tobler, Mauro Delorenzi, Martin F Fey. 2006. Gene expression profiling reveals consistent differences between clinical samples of human leukaemias and their model cell lines.. https://doi.org/10.1111/j.1365-2141.2006.06342.x

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