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Using Reverse Phase Protein Array (RPPA) to Identify and Target Adaptive Resistance.
Labrie, Marilyne; Fang, Yong; Kendsersky, Nicholas D; Li, Jun; Liang, Han; Westin, Shannon N; Mitri, Zahi; Mills, Gordon B.
Afiliação
  • Labrie M; Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA. labriem@ohsu.edu.
  • Fang Y; Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.
  • Kendsersky ND; Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.
  • Li J; Department of Gynecological Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
  • Liang H; Department of Gynecological Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
  • Westin SN; Department of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
  • Mitri Z; Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.
  • Mills GB; Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR, USA.
Adv Exp Med Biol ; 1188: 251-266, 2019.
Article em En | MEDLINE | ID: mdl-31820393
ABSTRACT
Tumor cells and the tumor ecosystem rapidly evolve in response to therapy. This tumor evolution results in the rapid emergence of drug resistance that limits the magnitude and duration of response to therapy including chemotherapy, targeted therapy, and immunotherapy. Thus, there is an urgent need to understand and interdict tumor evolution to improve patient benefit to therapy. Reverse phase protein array (RPPA) provides a powerful tool to evaluate and develop approaches to target the processes underlying one form of tumor evolution adaptive evolution. Tumor cells and the tumor microenvironment rapidly evolve through rewiring of protein networks to bypass the effects of therapy. In this review, we present the concepts underlying adaptive resistance and use of RPPA in understanding resistance mechanisms and identification of effective drug combinations. We further demonstrate that this novel information is resulting in biomarker-driven trials aimed at targeting adaptive resistance and improving patient outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resistencia a Medicamentos Antineoplásicos / Análise Serial de Proteínas / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resistencia a Medicamentos Antineoplásicos / Análise Serial de Proteínas / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article