Multivariate statistical analysis for anti-cancer drug treatment evaluation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F09%3A00338291" target="_blank" >RIV/61388971:_____/09:00338291 - isvavai.cz</a>
Alternative codes found
RIV/67985904:_____/09:00338291
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Multivariate statistical analysis for anti-cancer drug treatment evaluation
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/LC07017" target="_blank" >LC07017: Oncoproteomics Centre</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
3rd Central and Eastern European Proteomics Conference
ISBN
978-963-9319-99-8
ISSN
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e-ISSN
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Number of pages
1
Pages from-to
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Publisher name
Hungarian Chemical Society
Place of publication
Budapešť
Event location
Budapešť
Event date
Oct 6, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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