Literature DB >> 21041384

Proof of concept: network and systems biology approaches aid in the discovery of potent anticancer drug combinations.

Asfar S Azmi1, Zhiwei Wang, Philip A Philip, Ramzi M Mohammad, Fazlul H Sarkar.   

Abstract

Cancer therapies that target key molecules have not fulfilled expected promises for most common malignancies. Major challenges include the incomplete understanding and validation of these targets in patients, the multiplicity and complexity of genetic and epigenetic changes in the majority of cancers, and the redundancies and cross-talk found in key signaling pathways. Collectively, the uses of single-pathway targeted approaches are not effective therapies for human malignancies. To overcome these barriers, it is important to understand the molecular cross-talk among key signaling pathways and how they may be altered by targeted agents. Innovative approaches are needed, such as understanding the global physiologic environment of target proteins and the effects of modifying them without losing key molecular details. Such strategies will aid the design of novel therapeutics and their combinations against multifaceted diseases, in which efficacious combination therapies will focus on altering multiple pathways rather than single proteins. Integrated network modeling and systems biology have emerged as powerful tools benefiting our understanding of drug mechanisms of action in real time. This review highlights the significance of the network and systems biology-based strategy and presents a proof of concept recently validated in our laboratory using the example of a combination treatment of oxaliplatin and the MDM2 inhibitor MI-219 in genetically complex and incurable pancreatic adenocarcinoma. ©2010 AACR.

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Year:  2010        PMID: 21041384      PMCID: PMC3058926          DOI: 10.1158/1535-7163.MCT-10-0642

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  39 in total

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5.  Genetic profile of 22 pancreatic carcinoma cell lines. Analysis of K-ras, p53, p16 and DPC4/Smad4.

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6.  NCBI GEO: archive for high-throughput functional genomic data.

Authors:  Tanya Barrett; Dennis B Troup; Stephen E Wilhite; Pierre Ledoux; Dmitry Rudnev; Carlos Evangelista; Irene F Kim; Alexandra Soboleva; Maxim Tomashevsky; Kimberly A Marshall; Katherine H Phillippy; Patti M Sherman; Rolf N Muertter; Ron Edgar
Journal:  Nucleic Acids Res       Date:  2008-10-21       Impact factor: 16.971

Review 7.  Awakening guardian angels: drugging the p53 pathway.

Authors:  Christopher J Brown; Sonia Lain; Chandra S Verma; Alan R Fersht; David P Lane
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8.  Network modeling links breast cancer susceptibility and centrosome dysfunction.

Authors:  Miguel Angel Pujana; Jing-Dong J Han; Lea M Starita; Kristen N Stevens; Muneesh Tewari; Jin Sook Ahn; Gad Rennert; Víctor Moreno; Tomas Kirchhoff; Bert Gold; Volker Assmann; Wael M Elshamy; Jean-François Rual; Douglas Levine; Laura S Rozek; Rebecca S Gelman; Kristin C Gunsalus; Roger A Greenberg; Bijan Sobhian; Nicolas Bertin; Kavitha Venkatesan; Nono Ayivi-Guedehoussou; Xavier Solé; Pilar Hernández; Conxi Lázaro; Katherine L Nathanson; Barbara L Weber; Michael E Cusick; David E Hill; Kenneth Offit; David M Livingston; Stephen B Gruber; Jeffrey D Parvin; Marc Vidal
Journal:  Nat Genet       Date:  2007-10-07       Impact factor: 38.330

9.  The MODY1 gene for hepatocyte nuclear factor 4alpha and a feedback loop control COUP-TFII expression in pancreatic beta cells.

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Journal:  Mol Cell Biol       Date:  2008-05-12       Impact factor: 4.272

10.  Human pancreatic duct epithelial cell model for KRAS transformation.

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  40 in total

Review 1.  Aberrant epigenetic grooming of miRNAs in pancreatic cancer: a systems biology perspective.

Authors:  Asfar S Azmi; Frances W J Beck; Bin Bao; Ramzi M Mohammad; Fazlul H Sarkar
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Review 3.  Systems Pharmacology Links GPCRs with Retinal Degenerative Disorders.

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Journal:  Annu Rev Pharmacol Toxicol       Date:  2015-03-23       Impact factor: 13.820

Review 4.  Nuclear export mediated regulation of microRNAs: potential target for drug intervention.

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5.  Transposon mutagenesis identifies genetic drivers of Braf(V600E) melanoma.

Authors:  Michael B Mann; Michael A Black; Devin J Jones; Jerrold M Ward; Christopher Chin Kuan Yew; Justin Y Newberg; Adam J Dupuy; Alistair G Rust; Marcus W Bosenberg; Martin McMahon; Cristin G Print; Neal G Copeland; Nancy A Jenkins
Journal:  Nat Genet       Date:  2015-04-13       Impact factor: 38.330

Review 6.  Diverse array-designed modes of combination therapies in Fangjiomics.

Authors:  Jun Liu; Zhong Wang
Journal:  Acta Pharmacol Sin       Date:  2015-04-13       Impact factor: 6.150

Review 7.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

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Review 8.  Epigenetic alterations in acute kidney injury.

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9.  Cationic liposomal co-delivery of small interfering RNA and a MEK inhibitor for enhanced anticancer efficacy.

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10.  Synthetic lethal screening with small-molecule inhibitors provides a pathway to rational combination therapies for melanoma.

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