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Title 

CDRgator: an integrative navigator of cancer drug resistance gene signatures

Authors 

S K JangByung-Ha YoonS M KangY G YoonSeon-Young KimW Kim

Publisher 

Springer Verlag (Germany)

Issue Date 

2019

Citation 

Molecules and Cells

Keywords 

cancer drug resistancegene expression signaturesmeta-analysismicroarrayRNA-seq analysistranscriptome

Abstract 

Understanding the mechanisms of cancer drug resistance is a critical challenge in cancer therapy. For many cancer drugs, various resistance mechanisms have been identified such as target alteration, alternative signaling pathways, epithelial? mesenchymal transition, and epigenetic modulation. Resistance may arise via multiple mechanisms even for a single drug, making it necessary to investigate multiple independent models for comprehensive understanding and therapeutic application. In particular, we hypothesize that different resistance processes result in distinct gene expression changes. Here, we present a web-based database, CDRgator (Cancer Drug Resistance navigator) for comparative analysis of gene expression signatures of cancer drug resistance. Resistance signatures were extracted from two different types of datasets. First, resistance signatures were extracted from transcriptomic profiles of cancer cells or patient samples and their resistanceinduced counterparts for >30 cancer drugs. Second, drug resistance group signatures were also extracted from two largescale drug sensitivity datasets representing ~1,000 cancer cell lines. All the datasets are available for download, and are conveniently accessible based on drug class and cancer type, along with analytic features such as clustering analysis, multidimensional scaling, and pathway analysis. CDRgator allows meta-analysis of independent resistance models for more comprehensive understanding of drug-resistance mechanisms that is difficult to accomplish with individual datasets alone (database URL: http://cdrgator.ewha.ac.kr).

URI 

https://doi.org/10.14348/molcells.2018.0413

ISSN 

1016-8478

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-07-10


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