Applications of systems biology in cancer immunotherapy: from target discovery to biomarkers of clinical outcome

被引:13
作者
GuhaThakurta, Debraj [1 ]
Sheikh, Nadeem A. [1 ]
Meagher, T. Craig [1 ]
Letarte, Simon [2 ]
Trager, James B. [1 ]
机构
[1] Dendreon Corp, Dept Res, Seattle, WA 98109 USA
[2] Dendreon Corp, Dept Mfg Sci & Prod Dev, Seattle, WA 98109 USA
关键词
bioinformatics; cancer immunotherapy; immune response; molecular profiling; omics; pharmacodynamic biomarker; predictive biomarker; systems biology; SET ENRICHMENT ANALYSIS; RESISTANT PROSTATE-CANCER; T-CELL RESPONSES; GENE-EXPRESSION; MELANOMA PATIENTS; DENDRITIC CELLS; BREAST-CANCER; SIPULEUCEL-T; CANCER/TESTIS ANTIGENS; PEPTIDE EPITOPES;
D O I
10.1586/17512433.2013.811814
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Immunotherapies are coming to the forefront as a treatment paradigm in cancer with multiple US FDA approvals in recent years and a better understanding of their therapeutic mode of action. The control of tumor growth by the immune system is orchestrated by a complex array of cellular interactions and molecular pathways, both in the immune cells as well as the tumor. Although research over the past three decades has elucidated many aspects of tumor immunosurveillance, given the inherent complexity of the immune cell phenotypes and function, high-throughput molecular profiling ('omics') approaches have now become essential to support the discovery and development of new therapies. Technologies, such as DNA and protein microarrays, deep sequencing, mass spectrometry, as well as the computational methods for their analyses, are advancing the contributions of systems biology towards the development and mechanistic understanding of cancer immunotherapies. In this review, the authors illustrate this through some recently reported studies.
引用
收藏
页码:387 / 401
页数:15
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