Literature DB >> 22249357

Array-based pharmacogenomics of molecular-targeted therapies in oncology.

D Sanoudou1, G Mountzios, D A Arvanitis, D Pectasides.   

Abstract

The advent of microarrays over the past decade has transformed the way genome-wide studies are designed and conducted, leading to an unprecedented speed of acquisition and amount of new knowledge. Microarray data have led to the identification of molecular subclasses of solid tumors characterized by distinct oncogenic pathways, as well as the development of multigene prognostic or predictive models equivalent or superior to those of established clinical parameters. In the field of molecular-targeted therapy for cancer, in particular, the application of array-based methodologies has enabled the identification of molecular targets with 'key' roles in neoplastic transformation or tumor progression and the subsequent development of targeted agents, which are most likely to be active in the specific molecular setting. Herein, we present a summary of the main applications of whole-genome expression microarrays in the field of molecular-targeted therapies for solid tumors and we discuss their potential in the clinical setting. An emphasis is given on deciphering the molecular mechanisms of drug action, identifying novel therapeutic targets and suitable agents to target them with, and discovering molecular markers/signatures that predict response to therapy or optimal drug dose for each patient.

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Year:  2012        PMID: 22249357     DOI: 10.1038/tpj.2011.53

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  4 in total

1.  Sho-saiko-to, a traditional herbal medicine, regulates gene expression and biological function by way of microRNAs in primary mouse hepatocytes.

Authors:  Kwang Hoon Song; Yun Hee Kim; Bu-Yeo Kim
Journal:  BMC Complement Altern Med       Date:  2014-01-11       Impact factor: 3.659

2.  Inferring the perturbed microRNA regulatory networks from gene expression data using a network propagation based method.

Authors:  Ting Wang; Jin Gu; Yanda Li
Journal:  BMC Bioinformatics       Date:  2014-07-29       Impact factor: 3.169

3.  A large pooled analysis refines gene expression-based molecular subclasses in cutaneous melanoma.

Authors:  Thijs T Wind; Mathilde Jalving; Jacco J de Haan; Elisabeth G E de Vries; Marcel A T M van Vugt; Dirk-Jan Reijngoud; Rozemarijn S van Rijn; John B A G Haanen; Christian U Blank; Geke A P Hospers; Rudolf S N Fehrmann
Journal:  Oncoimmunology       Date:  2019-01-03       Impact factor: 8.110

4.  Orchestrating and sharing large multimodal data for transparent and reproducible research.

Authors:  Anthony Mammoliti; Petr Smirnov; Minoru Nakano; Zhaleh Safikhani; Christopher Eeles; Heewon Seo; Sisira Kadambat Nair; Arvind S Mer; Ian Smith; Chantal Ho; Gangesh Beri; Rebecca Kusko; Eva Lin; Yihong Yu; Scott Martin; Marc Hafner; Benjamin Haibe-Kains
Journal:  Nat Commun       Date:  2021-10-04       Impact factor: 14.919

  4 in total

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