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Utility of Reverse-Phase Protein Array for Refining Precision Oncology.
Masuda, Mari; Yamada, Tesshi.
Afiliação
  • Masuda M; Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan. mamasuda@ncc.go.jp.
  • Yamada T; Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Adv Exp Med Biol ; 1188: 239-249, 2019.
Article em En | MEDLINE | ID: mdl-31820392
Despite the early successes of targeted therapies and continuous improvements in next-generation sequencing technology over the last two decades, genomics-driven precision oncology has helped only a minority of cancer patients; thus treatment regimens are still not matched to the vast majority of cancer patients. It has become apparent that genomic profiling in itself is limited with respect to optimal selection of patients for targeted therapy. Proteomics-based approaches (in contrast to genomics-based and transcriptomics-based approaches) capture biological processes (e.g., diversity of protein expression patterns and post-translational modifications) directly contributing to cancer pathogenesis. This encourages incorporation of concordant proteomic analyses into the next stage of precision oncology. Reverse-phase protein array (RPPA) is well suited to pharmacodynamic analysis due to its ability to precisely map signaling status using limited amounts of clinical sample. In addition, the cost-effectiveness and rapid turnaround time of the RPPA platform offer a substantial advantage over existing molecular profiling technologies in a clinical setting. In this chapter, we begin by reviewing the current status of genomics-driven precision oncology, along with its limitations and challenges. Finally, we discuss the utility of RPPA technology as a means of improving precision oncology.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Serial de Proteínas / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Adv Exp Med Biol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Serial de Proteínas / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Adv Exp Med Biol Ano de publicação: 2019 Tipo de documento: Article