Počet záznamů: 1

Multivariate statistical analysis for anti-cancer drug treatment evaluation

  1. 1.
    0338291 - UZFG-Y 2010 RIV HU eng C - Konferenční příspěvek (zahraniční konf.)
    Hrabáková, Rita - Martinková, Jiřina - Skalníková, Helena - Novák, Petr - Radová, L. - Džubák, P. - Kollareddy, M. R. - Hajduch, M. - Gadher, S. J. - Kovářová, Hana
    Multivariate statistical analysis for anti-cancer drug treatment evaluation.
    3rd Central and Eastern European Proteomics Conference. Budapešť: Hungarian Chemical Society, 2009, s. 119-119. ISBN 978-963-9319-99-8.
    [3rd Central and Eastern European Proteomics Conference. Budapešť (HU), 06.10.2009-09.10.2009]
    Grant CEP: GA MŠk LC07017
    Výzkumný záměr: CEZ:AV0Z50200510; CEZ:AV0Z50450515
    Klíčová slova: drug resistance * anti-cancer therapy * proteomics
    Kód oboru RIV: CE - Biochemie

    The aim of our study is to reveal molecular mechanisms of response to anti-cancer drugs at early time intervals to detect proteins that may be responsible for primary changes in the signalling networks and leading to irreversible anti-cancer processes. Leukaemic CEM cells were treated with various chemotherapeutic drugs. Evaluation of quantitative data from 2-D protein maps using multivariate statistical approach, principal component analysis, revealed that only about 2% of total variances represented differences that enabled grouping of drugs and their classification according to protein profiles. Drugs were clustered into groups independently of basic scheme of conventional chemotherapy agents indicating that there might be other unexplained mechanisms underlying the anti-cancer response and/or chemoresistance.
    Trvalý link: http://hdl.handle.net/11104/0182106