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A risk stratification model for toxicities in phase 1 immunotherapy trials.
Hernando-Calvo, Alberto; Salawu, Abdulazeez; Chen, Rachel Y; Araujo, Daniel V; Oliva, Marc; Liu, Zhihui Amy; Siu, Lillian L.
Afiliação
  • Hernando-Calvo A; Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada.
  • Salawu A; Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada.
  • Chen RY; Princeton University, NJ, USA.
  • Araujo DV; Department of Medical Oncology, Hospital de Base, Sao Jose do Rio Preto, SP, Brazil.
  • Oliva M; Department of Medical Oncology, Institut Català D'Oncologia (ICO) L'Hospitalet, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain.
  • Liu ZA; Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada.
  • Siu LL; Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada. Electronic address: Lillian.siu@uhn.ca.
Eur J Cancer ; 175: 11-18, 2022 11.
Article em En | MEDLINE | ID: mdl-36084619
INTRODUCTION: Despite the increased number of novel immunotherapy (IO) agents under current development, their toxicity profile remains to be fully elucidated. METHODS: An IO risk stratification model was developed based on 5 different variables: treatment-related deaths; rate of grade ≥3 treatment-related adverse events or treatment-emergent adverse events; grade ≥2 encephalopathy or central nervous system toxicity; grade ≥2 cytokine release syndrome; and the number and type of dose-limiting toxicity. Phase 1 IO trials published from January 2014 to December 2020 were reviewed and categorised based on our risk stratification model into three categories: low-, intermediate- and high-risk. Clinical trial variables were associated with the high-risk category. To review the quality of reporting across phase 1 IO trials, a subset of studies was further examined by the use of the ASCO/SITC Trial Reporting in Immuno-Oncology (TRIO) standards. RESULTS: Different IO compounds demonstrated diverse risk profiles. In multivariable analysis, combination versus IO single agent treatment, and testing IO agents different from anti-programmed death-1/programmed death ligand-1 (anti-PD1/L1), anti-cytotoxic t-lymphocyte antigen-4 (anti-CTLA4) antibodies and anti-cancer vaccines were associated with a higher toxicity risk. None of the studies examined in our dataset reported all the items included in the TRIO standards. CONCLUSIONS: Our results have important implications for future clinical trial design. Additionally, standards for reporting are urgently needed.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vacinas / Neoplasias Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Cancer Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vacinas / Neoplasias Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Cancer Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá