The glucose-deprivation network counteracts lapatinib-induced toxicity in resistant ErbB2-positive breast cancer cells

被引:96
作者
Komurov, Kakajan [1 ]
Tseng, Jen-Te [1 ]
Muller, Melissa [1 ]
Seviour, Elena G. [1 ]
Moss, Tyler J. [1 ]
Yang, Lifeng [2 ]
Nagrath, Deepak [2 ]
Ram, Prahlad T. [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Syst Biol, Houston, TX 77054 USA
[2] Rice Univ, Chem & Biomol Engn Dept, Houston, TX USA
关键词
bioinformatics; computational methods; functional genomics; metabolic and regulatory networks; signal transduction; UNFOLDED PROTEIN RESPONSE; LUNG-CANCER; AUTOPHAGY; SURVIVAL; AMPLIFICATION; CONTRIBUTES; ADDICTION; MUTATION; STRESS; GROWTH;
D O I
10.1038/msb.2012.25
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Dynamic interactions between intracellular networks regulate cellular homeostasis and responses to perturbations. Targeted therapy is aimed at perturbing oncogene addiction pathways in cancer, however, development of acquired resistance to these drugs is a significant clinical problem. A network-based computational analysis of global gene expression data from matched sensitive and acquired drug-resistant cells to lapatinib, an EGFR/ErbB2 inhibitor, revealed an increased expression of the glucose deprivation response network, including glucagon signaling, glucose uptake, gluconeogenesis and unfolded protein response in the resistant cells. Importantly, the glucose deprivation response markers correlated significantly with high clinical relapse rates in ErbB2-positive breast cancer patients. Further, forcing drug-sensitive cells into glucose deprivation rendered them more resistant to lapatinib. Using a chemical genomics bioinformatics mining of the CMAP database, we identified drugs that specifically target the glucose deprivation response networks to overcome the resistant phenotype and reduced survival of resistant cells. This study implicates the chronic activation of cellular compensatory networks in response to targeted therapy and suggests novel combinations targeting signaling and metabolic networks in tumors with acquired resistance. Molecular Systems Biology 8: 596; published online 31 July 2012; doi:10.1038/msb.2012.25 Subject Categories: cellular metabolism; signal transduction; molecular biology of disease
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页数:10
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