Multivariate statistical analysis for anti-cancer drug treatment evaluation

0338291 - ÚŽFG 2010 RIV HU eng C - Conference Paper (international conference)
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]
R&D Projects: GA MŠMT LC07017
Institutional research plan: CEZ:AV0Z50200510; CEZ:AV0Z50450515
Keywords : drug resistance * anti-cancer therapy * proteomics
Subject RIV: CE - Biochemistry

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.
Permanent Link: http://hdl.handle.net/11104/0182106