DocumentCode :
1784801
Title :
Different cancer cell lines resistant to the same drug exhibit differences in folate pathway dynamics
Author :
Bhosle, Amrisha ; Chandra, Nagasuma
Author_Institution :
Dept. of Biochem., Indian Inst. of Sci., Bangalore, India
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
209
Lastpage :
213
Abstract :
Use of methotrexate (MTX), a widely used anti-cancer drug which targets primarily dihydrofolate reductase (DHFR) in the folate pathway is being limited by the emergence of resistance. Despite a large number of studies, a quantitative understanding of target pathway dynamics in resistant cancers is majorly lacking. In this work, we integrated gene expression data from different MTX-resistant cancer cell lines into kinetic models to study dynamics of the folate metabolic pathway. Given that all cell lines are derived from human cancers, the pathway is essentially the same consisting of 11 reactions catalyzed by the same set of enzymes and 1 non-enzymatic reaction. Kinetic models emulating pathway dynamics in MTX-untreated, MTX-treated-sensitive and MTX-treated-resistant conditions were generated and model behaviour at steady state was analysed with respect to concentrations of six folate metabolites and fluxes through the 12 reactions. We observed differences in steady-state properties across these cell lines even in the absence of MTX inhibition. More interestingly, the response of sensitive and resistant variants of each cancer type was also seen to vary in simulations of MTX-inhibition. However, accumulation of dihydrofolate at steady state for all sensitive cell lines along and a decrease towards normal levels for their resistant counterparts remained a common feature in most cases. Metabolic control analysis performed to identify crucial flux controlling elements in the pathway indicated that the enzymes methenyltetrahydrofolate cyclohydrolase (MTCH) and phosphoribosylglycinamide formyltransferase (PGT) could be targeted in combination with DHFR in MTX-resistant cancers for improved therapy.
Keywords :
biochemistry; cancer; catalysis; cellular biophysics; drugs; enzymes; genetics; molecular biophysics; patient treatment; reaction kinetics theory; DHFR targeting; MTCH targeting; MTX inhibition absence; MTX-inhibition simulation; MTX-resistant cancer cell line; MTX-treated-resistant condition; MTX-treated-sensitive condition; MTX-untreated condition; PGT targeting; anti-cancer drug resistance; cancer type; crucial flux controlling element identification; dihydrofolate accumulation; dihydrofolate reductase targeting; enzyme reaction catalysis; folate metabolic pathway dynamics; folate metabolite concentration; gene expression data integration; human cancer cell line; kinetic model; metabolic control analysis; methenyltetrahydrofolate cyclohydrolase; methotrexate; nonenzymatic reaction; phosphoribosylglycinamide formyltransferase; quantitative analysis; resistant cell line response; sensitive cell line response; steady-state properties; target pathway dynamics; Biochemistry; Cancer; Drugs; Gene expression; Immune system; Mathematical model; Steady-state; Gene expression profile; Kinetic model; Metabolic control analysis; Methotrexate effect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
Type :
conf
DOI :
10.1109/BIBM.2014.6999156
Filename :
6999156
Link To Document :
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