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Systemic modeling myeloma-osteoclast interactions under normoxic/hypoxic condition using a novel computational approach

Interaction of myeloma cells with osteoclasts (OC) can enhance tumor cell expansion through activation of complex signaling transduction networks. Both cells reside in the bone marrow, a hypoxic niche. How OC-myeloma interaction in a hypoxic environment affects myeloma cell growth and their response...

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Published in:Scientific reports 2015-08, Vol.5 (1), p.13291-13291, Article 13291
Main Authors: Ji, Zhiwei, Wu, Dan, Zhao, Weiling, Peng, Huiming, Zhao, Shengjie, Huang, Deshuang, Zhou, Xiaobo
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description Interaction of myeloma cells with osteoclasts (OC) can enhance tumor cell expansion through activation of complex signaling transduction networks. Both cells reside in the bone marrow, a hypoxic niche. How OC-myeloma interaction in a hypoxic environment affects myeloma cell growth and their response to drug treatment is poorly understood. In this study, we i ) cultured myeloma cells in the presence/absence of OCs under normoxia and hypoxia conditions and did protein profiling analysis using reverse phase protein array; ii ) computationally developed an Integer Linear Programming approach to infer OC-mediated myeloma cell-specific signaling pathways under normoxic and hypoxic conditions. Our modeling analysis indicated that in the presence OCs, (1) cell growth-associated signaling pathways, PI3K/AKT and MEK/ERK, were activated and apoptotic regulatory proteins, BAX and BIM, down-regulated under normoxic condition; (2) β1 Integrin/FAK signaling pathway was activated in myeloma cells under hypoxic condition. Simulation of drug treatment effects by perturbing the inferred cell-specific pathways showed that targeting myeloma cells with the combination of PI3K and integrin inhibitors potentially (1) inhibited cell proliferation by reducing the expression/activation of NF-κB, S6, c-Myc and c-Jun under normoxic condition; (2) blocked myeloma cell migration and invasion by reducing the expression of FAK and PKC under hypoxic condition.
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subjects 1-Phosphatidylinositol 3-kinase
631/114/2391
631/553/2695
AKT protein
Algorithms
Apoptosis
BAX protein
BIM protein
Bone marrow
Bone Marrow - metabolism
Bone Marrow - pathology
c-Jun protein
c-Myc protein
Cell activation
Cell adhesion & migration
Cell Communication
Cell growth
Cell Hypoxia
Cell Line, Tumor
Cell migration
Cell proliferation
Computer applications
Computer Simulation
Humanities and Social Sciences
Humans
Hypoxia
Linear programming
Models, Biological
multidisciplinary
Multiple myeloma
Multiple Myeloma - metabolism
Multiple Myeloma - pathology
Myc protein
Myeloma
Neoplasm Proteins - metabolism
Osteoclasts
Osteoclasts - metabolism
Osteoclasts - pathology
Oxygen - metabolism
Programming, Linear
Protein arrays
Protein kinase C
Science
Signal transduction
Transcription factors
Tumor Microenvironment
title Systemic modeling myeloma-osteoclast interactions under normoxic/hypoxic condition using a novel computational approach
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