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Bouchnita2019 - A multiscale model to design therapeutic strategies that overcome drug resistance to tyrosine kinase inhibitors in multiple myeloma

ABSTRACT: Drug resistance (DR) is a phenomenon characterized by the tolerance of a disease to pharmaceutical treatment. In cancer patients, DR is one of the main challenges that limit the therapeutic potential of the existing treatments. Therefore, overcoming DR by restoring the sensitivity of cancer cells would be greatly beneficial. In this context, mathematical modeling can be used to provide novel therapeutic strategies that maximize the efficiency of anti-cancer agents and potentially overcome DR. In this paper, we present a new multiscale model devoted to the interaction of potential treatments with multiple myeloma (MM) development. In this model, MM cells are represented as individual objects that move, divide, and die by apoptosis. The fate of each cell depends on intracellular and extracellular regulation, as well as the administered treatment. The model is used to explore the combined effects of a tyrosine-kinase inhibitor (TKI) with a pentose phosphate pathway (PPP) inhibitor. We use numerical simulations to tailor effective and safe treatment regimens that may eradicate the MM tumors. The model suggests that an interval for the daily dose of the PPP inhibitor can maximize the responsiveness of MM cells to the treatment with TKIs. Then, it demonstrates that the combination of high-dose pulsatile TKI treatment with high-dose daily PPP inhibitor therapy can potentially eradicate the tumor.The predictions of numerical simulations using such a model can be considered as testable hypotheses in future pre-clinical experiments and clinical studies.

SUBMITTER: Mohammad Umer Sharif Shohan

PROVIDER: MODEL1912170004 | BioModels | 2020-01-09

REPOSITORIES: BioModels

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A multiscale model to design therapeutic strategies that overcome drug resistance to tyrosine kinase inhibitors in multiple myeloma.

Bouchnita Anass A Volpert Vitaly V Koury Mark J MJ Hellander Andreas A

Mathematical biosciences 20191203

Drug resistance (DR) is a phenomenon characterized by the tolerance of a disease to pharmaceutical treatment. In cancer patients, DR is one of the main challenges that limit the therapeutic potential of the existing treatments. Therefore, overcoming DR by restoring the sensitivity of cancer cells would be greatly beneficial. In this context, mathematical modeling can be used to provide novel therapeutic strategies that maximize the efficiency of anti-cancer agents and potentially overcome DR. In ...[more]

PMID: 31809782

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Project description:Our previous studies have shown that inhibition of the IGF-1R pathway by the IGF-1RTK inhibitor picropodophyllin (PPP) can be achieved and also constitutes a favorable therapeutic window in multiple myeloma (MM). As no complete remission using in vivo models of MM could be obtained, a combinatorial drug screen (HTS) was performed to select the most performant combination with PPP. The HDAC inhibitor LBH589 was shown to act in synergy with PPP on survival of MM cells. The contribution from both drugs and the combination were further monitored for apoptosis, cell cycle distribution, and the impact on downstream gene and protein expression in human and mouse MM models in vitro. In the RPMI 8226 human MM cell line, simultaneous treatment with both compounds for 48h caused a 5-fold increase of apoptotic and late apoptotic/necrotic cells as compared to controls, while treatment with either compound alone only induced a 3-fold increase. After 24h cleavage of apoptotic proteins caspase -9, -8 and -3 could be found in RPMI 8226 cells treated with both drugs individually, but in the combination we observed an additive effect on the cleavage of the active forms of caspase 8 as compared to single drug treatments. The combination of LBH589 and PPP could be monitored as an accumulation of cells in the G2/M phase, and subsequent down-regulation of cell cycle regulated proteins. The effect of both compounds on the expression of cyclin B1, -E and -D2 was additive, as demonstrated by western blot. These data were also confirmed in the mouse 5T33MM cells in vitro. Gene expression analysis and validations of the RPMI 8226 cells reveal that the drug combination has better effects than the single drug alone. Combined treatment in vivo resulted in a significant prolonged survival of 5T33MM inoculated mice when compared to the control group and to treatment with the drugs alone. In conclusion, the results indicate an improved MM treatment opportunity in using a combination of PPP and LBH589. We used whole genome Microarray to decipher the changes occuring after treatment of the single and combination of the drugs. And see if the combination has better effects. RPMI 8266 cells were treated with LBH589 (20nM), picropodophyllin (PPP)(0.375uM) , and the combination of these two drugs. RNA was extracted at two different time points 6 and 24 for the microarray.