Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2866
Title: Computational and Mechanistic Studies on the Effect of Galactoxyloglucan: Imatinib Nanoconjugate in Imatinib Resistant K562 Cells
Authors: James, A R
Unnikrishnan, B S
Priya, R
Joseph, M M
Manojkumar, T K
Raveendran Pillai, K
Shiji, R
Preethi, G U
Kusumakumary, P
Sreelekha, T T
Keywords: Cytotoxicity
P-glycoprotein
imatinib
multidrug resistance
polysaccharide
Issue Date: Mar-2017
Publisher: Sage Publications
Citation: Tumour Biology, 39(3):1010428317695946
Abstract: Imatinib mesylate, a BCR/ABL fusion protein inhibitor, is the first-line treatment against chronic myelogenous leukemia. In spite of its advantageous viewpoints, imatinib still has genuine impediments like undesirable side effects and tumor resistance during chemotherapy. Nanoparticles with sustainable release profile will help in targeted delivery of anticancer drugs while minimizing deleterious side effects and drug resistance. The use of biopolymers like galactoxyloglucan (PST001) for the fabrication of imatinib mesylate nanoparticles could impart its use in overcoming multidrug resistance in chronic myelogenous leukemia patients with minimal side effects. This study involved in the synthesis of PST-Imatinib nanoconjugates with appreciable drug payload and excellent cytotoxicity against drug-resistant chronic myelogenous leukemia cell line (K562) in comparison with free drug. The use of bioinformatics tool revealed better binding affinity for the drug-polysaccharide complex than the drug alone with three proteins: 3QX3 (Topoisomerase), 1M17 (EGFR tyrosine kinase domain), and 3QRJ (ABL1 kinase domain). Assessment of the biochemical, hematological, and histopathological parameters in mice upheld the security and adequacy of the nanoconjugate compared to free drug. Although perspective investigations are warranted, in a condition like drug resistance in leukemia, this nanoconjugate would display a productive approach in cancer therapeutics.
URI: http://hdl.handle.net/123456789/2866
Appears in Collections:2017

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