Challenges and opportunities for oncology biomarker discovery

被引:31
|
作者
Deyati, Avisek [1 ,2 ]
Younesi, Erfan [2 ]
Hofmann-Apitius, Martin [2 ]
Novac, Natalia [1 ]
机构
[1] Merck Serono, Knowledge Management, D-64293 Darmstadt, Germany
[2] Fraunhofer Inst Algorithms & Sci Comp SCAI, Dept Bioinformat, D-53754 St Augustin, Germany
关键词
GROWTH-FACTOR RECEPTOR; CELL LUNG-CANCER; PHASE-II TRIAL; CHRONIC MYELOGENOUS LEUKEMIA; COLORECTAL-CANCER; BREAST-CANCER; ACTIVATING MUTATIONS; MONOCLONAL-ANTIBODY; CLINICAL-RESPONSE; SYSTEMS BIOLOGY;
D O I
10.1016/j.drudis.2012.12.011
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Recent success of companion diagnostics along with the increasing regulatory pressure for better identification of the target population has created an unprecedented incentive for drug discovery companies to invest in novel strategies for biomarker discovery. In parallel with the rapid advancement and clinical adoption of high-throughput technologies, a number of knowledge management and systems biology approaches have been developed to analyze an ever increasing collection of OMICs data. This review discusses current biomarker discovery technologies highlighting challenges and opportunities of knowledge capturing and presenting a perspective of the future integrative modeling approaches as an emerging trend in biomarker prediction.
引用
收藏
页码:614 / 624
页数:11
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