title: Proteomic profiling predicts drug response to novel targeted anticancer therapeutics.
abstract: Most recently approved anti-cancer drugs by the US FDA are targeted therapeutic agents and this represents an important trend for future anticancer therapy. Unlike conventional chemotherapy that rarely considers individual differences, it is crucial for targeted therapies to identify the beneficial subgroup of patients for the treatment. Currently, genomics and transcriptomics are the major 'omic' analytics used in studies of drug response prediction. However, proteomic profiling excels both in its advantages of directly detecting an instantaneous dynamic of the whole proteome, which contains most current diagnostic markers and therapeutic targets. Moreover, proteomic profiling improves understanding of the mechanism for drug resistance and helps finding optimal combination therapy. This article reviews the recent success of applications of proteomic analytics in predicting the response to targeted anticancer therapeutics, and discusses the potential avenues and pitfalls of proteomic platforms and techniques used most in the field.
authors.affiliation: a Department of Cell Biology , Nanjing Medical University , Nanjing , China.|b Department of Biochemistry , Yong Loo Lin School of Medicine, National University of Singapore , Singapore.
authors.forename: Fan
authors.initials: F
authors.lastname: Lin
authors.affiliation: b Department of Biochemistry , Yong Loo Lin School of Medicine, National University of Singapore , Singapore.
authors.forename: Zilin
authors.initials: Z
authors.lastname: Li
authors.affiliation: c College of Pharmaceutical Science, Zhejiang University of Technology , Hangzhou , China.
authors.forename: Yunfen
authors.initials: Y
authors.lastname: Hua
authors.affiliation: b Department of Biochemistry , Yong Loo Lin School of Medicine, National University of Singapore , Singapore.|d Bioinformatics Institute, Agency for Science and Technology , Singapore.|e NUS Graduate School of Integrative Sciences and Technology , Singapore.
authors.forename: Yoon Pin
authors.initials: YP
authors.lastname: Lim
mesh_terms: D000818:Animals; D000970:Antineoplastic Agents / Q000627:therapeutic use*; D014408:Biomarkers, Tumor / Q000378:metabolism*; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D058990:Molecular Targeted Therapy / Q000379:methods*; D009369:Neoplasms / Q000175:diagnosis / Q000188:drug therapy*; D020543:Proteome / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*
chemical_list: D000970:Antineoplastic Agents; D014408:Biomarkers, Tumor; D020543:Proteome
keywords: Proteomic profiling; combination therapy; drug response; personalized therapy; targeted drug