Multivariate statistical analysis for anti-cancer drug treatment evaluation

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/67985904:_____/09:00338291

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Multivariate statistical analysis for anti-cancer drug treatment evaluation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Multivariate statistical analysis for anti-cancer drug treatment evaluation

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

FK - Gynekologie a porodnictví

OECD FORD obor

—

Projekt

<a href="/cs/project/LC07017" target="_blank" >LC07017: Centrum nádorové proteomiky</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

3rd Central and Eastern European Proteomics Conference

ISBN

978-963-9319-99-8

ISSN

—

e-ISSN

—

Počet stran výsledku

1

Strana od-do

—

Název nakladatele

Hungarian Chemical Society

Místo vydání

Budapešť

Místo konání akce

Budapešť

Datum konání akce

6. 10. 2009

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—