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Near future of tumor immunology: Anticipating resistance mechanisms to immunotherapies, a big challenge for clinical trials.
Catani, João Paulo Portela; Riechelmann, Rachel P; Adjemian, Sandy; Strauss, Bryan E.
Afiliação
  • Catani JPP; a Viral Vector Laboratory, Center for Translational Investigation in Oncology , Cancer Institute of Sao Paulo/LIM 24, University of São Paulo School of Medicine , São Paulo , Brazil.
  • Riechelmann RP; b Cancer Institute of Sao Paulo , University of São Paulo School of Medicine , São Paulo , Brazil.
  • Adjemian S; c Laboratory of Cell and Molecular Biology, Departament of Immunology , Biomedical Sciences Institute, University of São Paulo , São Paulo , Brazil.
  • Strauss BE; a Viral Vector Laboratory, Center for Translational Investigation in Oncology , Cancer Institute of Sao Paulo/LIM 24, University of São Paulo School of Medicine , São Paulo , Brazil.
Hum Vaccin Immunother ; 13(5): 1109-1111, 2017 05 04.
Article em En | MEDLINE | ID: mdl-28059608
The success of immunotherapies brings hope for the future of cancer treatment. Even so, we are faced with a new challenge, that of understanding which patients will respond initially and, possibly, develop resistance. The examination of the immune profile, especially approaches related to the immunoscore, may foretell which tumors will have a positive initial response. Ideally, the mutation load would also be analyzed, helping to reveal tumor associated antigens that are predictive of an effective cytolytic attack. However, the response may be hindered by changes induced in the tumor and its microenvironment during treatment, perhaps stemming from the therapy itself. To monitor such alterations, we suggest that minimally invasive approaches should be explored, such as the analysis of circulating tumor DNA. When testing new drugs, the data collected from each patient would initially represent an N of 1 clinical trial that could then be deposited in large databases and mined retrospectively for trends and correlations between genetic alterations and response to therapy. We expect that the investment in personalized approaches that couple molecular analysis during clinical trials will yield critical data that, in the future, may be used to predict the outcome of novel immunotherapies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imunoterapia / Neoplasias Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Hum Vaccin Immunother Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imunoterapia / Neoplasias Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Hum Vaccin Immunother Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos