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Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer.

ABSTRACT: Cancer cells with heterogeneous mutation landscapes and extensive functional redundancy easily develop resistance to monotherapies by emerging activation of compensating or bypassing pathways. To achieve more effective and sustained clinical responses, synergistic interactions of multiple druggable targets that inhibit redundant cancer survival pathways are often required. Here, we report a systematic polypharmacology strategy to predict, test, and understand the selective drug combinations for MDA-MB-231 triple-negative breast cancer cells. We started by applying our network pharmacology model to predict synergistic drug combinations. Next, by utilizing kinome-wide drug-target profiles and gene expression data, we pinpointed a synergistic target interaction between Aurora B and ZAK kinase inhibition that led to enhanced growth inhibition and cytotoxicity, as validated by combinatorial siRNA, CRISPR/Cas9, and drug combination experiments. The mechanism of such a context-specific target interaction was elucidated using a dynamic simulation of MDA-MB-231 signaling network, suggesting a cross-talk between p53 and p38 pathways. Our results demonstrate the potential of polypharmacological modeling to systematically interrogate target interactions that may lead to clinically actionable and personalized treatment options.

SUBMITTER: Tang J

PROVIDER: S-EPMC6614366 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer.

Tang Jing J Gautam Prson P Gupta Abhishekh A He Liye L Timonen Sanna S Akimov Yevhen Y Wang Wenyu W Szwajda Agnieszka A Jaiswal Alok A Turei Denes D Yadav Bhagwan B Kankainen Matti M Saarela Jani J Saez-Rodriguez Julio J Wennerberg Krister K Aittokallio Tero T

NPJ systems biology and applications 20190708

Cancer cells with heterogeneous mutation landscapes and extensive functional redundancy easily develop resistance to monotherapies by emerging activation of compensating or bypassing pathways. To achieve more effective and sustained clinical responses, synergistic interactions of multiple druggable targets that inhibit redundant cancer survival pathways are often required. Here, we report a systematic polypharmacology strategy to predict, test, and understand the selective drug combinations for ...[more]

PMID: 31312514

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Project description:BackgroundTripterygium hypoglaucum Hutch (THH) both has prominent efficacy and unwarranted toxicity in the treatment of autoimmune diseases. Nevertheless, its pharmacological and toxicological profiles still remain to be elucidated. In the current study, the network pharmacology approach was applied to identify synergistic interaction and mechanism of efficacy and toxicity for THH from a holistic perspective.MethodsThe compounds from THH were collected using literature retrieval and relevant databases. After the production of putative therapeutic targets for dominant diseases and harmful targets of adverse reactions (ADRs) induced by THH, the protein-protein interactions (PPIs), topological analysis and pathway enrichment were established to distinguish the hub targets and pathways. Additionally, the binding activity of candidate ingredients with core targets were revealed by molecular docking simulation.ResultsA total of eight bioactive components in THH were enrolled, and 633 targets were responsible for rheumatoid arthritis (RA), 1067 targets were corresponding to systemic lupus erythematosus (SLE), 1318 targets of ADRs were obtained. The results of enrichment analysis among THH-RA, THH-SLE and THH-ADR networks indicated that pathway in cancer, hepatitis B, rheumatoid arthritis, and PI3K-Akt signaling pathway might participate in THH for treating RA and SLE. Besides, the mechanism of ADRs that induced by THH were associated with viral carcinogenesis, p53 signaling pathway, PI3K-Akt signaling pathway, and so on. Whereas, these active ingredients of THH exerted the superior binding activities with crucial targets including STAT3, VEGFA, TP53 and MMP9 that functioned synergistically efficacy and toxicity as observed via molecular docking simulation.ConclusionThe present research preliminarily interpreted the synergistic interaction of therapeutic and toxicological mechanisms for THH through the comprehensive analysis of relationship and binding activity between primary components and core targets, providing a feasible and promising approach to facilitate the development of toxic and irreplaceable herbs.

Project description:To elucidate mechanisms of cancer progression, we generated inducible human neoplasia in 3-dimensionally intact epithelial tissue. Gene expression profiling of both epithelia and stroma at specific time points during tumor progression revealed sequential enrichment of genes mediating discrete biologic functions in each tissue compartment. A core cancer progression signature was distilled using the increased signaling specificity of downstream oncogene effectors and subjected to network modeling. Network topology predicted that tumor development depends upon specific ECM-interacting network hubs. Blockade of one such hub, the b1 integrin subunit, disrupted network gene expression and attenuated tumorigenesis in vivo. Thus, integrating network modeling and temporal gene expression analysis of inducible human neoplasia provides an approach to prioritize and characterize genes functioning in cancer progression. There are 3 experiments in this study: (1a) a time course of human epidermal tissue transformed by oncogenic ER:H-Ras and IkBaM comprising days 0, 5, 20, and 35 post Ras activation using 4OHT; (1b) a matched time course of adjacent mouse stromal tissue during tumor progression; (2) Arrays comparing 4OHT-induced, Raf-1:ER/IkBaM transformed epidermal tissue and -4OHT controls; and (3) Arrays comparing Ras:ER/IkBaM grafts co-treated with 4OHT and either IgG control antibody or an anti-b1 integrin blocking antibody, P5D2 for 30 days. All arrays were done in biologic duplicate. Epidermal tissue co-expressing ER:H-RasG12V (ER:Ras) and IkBaM was regenerated on female scid/scid mouse recipients. Grafts were allowed to heal for at least 3 weeks before Ras activation via daily i.p. injections of 730ug of 4OHT (in 110ul of a corn oil/ethanol mixture). Duplicate grafts were harvested after 0, 5, 20, and 35 days of 4OHT treatment. Laser capture microdissection was utilized to independently isolate epithelial cells of the basal most layers and adajacent stromal tissue for each time point. RNA was subjected to one round of T7-based linear amplification (Ambion Message Amp II enhanced kit) and hybridized to either HG-U133A 2.0 or MG-430A affymetrix oligonucleotide arrays. Arrays from this experiment are labeled Ras and Stroma, respectively. The second experment was performed on Raf-1:ER/IkBaM expressing grafts with and without 4OHT treament for 30 days. The third experiment was done comparing ER:Ras/IkBaM grafts concomitantly treated with 4OHT and 1.5mg/week of either IgG control antibody or a mouse monoclonal blocking antibody against b1 integrin for 30 days. For experiments 2 and 3, HG-U133A 2.0 GeneChips were used; 4OHT treatment and RNA isolation/amplification was performed as above.

Dataset Information

Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer.

Publications

Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer.

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