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Resistance to cancer immunotherapy in metastatic renal cell carcinoma.
Moreira, Marco; Pobel, Cedric; Epaillard, Nicolas; Simonaggio, Audrey; Oudard, Stéphane; Vano, Yann-Alexandre.
Afiliação
  • Moreira M; Centre de Recherche des Cordeliers, INSERM, Université de Paris, Sorbonne Université, Paris F-75006, France.
  • Pobel C; Both authors contributed equally.
  • Epaillard N; Department of Medical Oncology, European Hospital Georges Pompidou - APHP, Paris 75015, France.
  • Simonaggio A; University François Rabelais, Tours 37200, France.
  • Oudard S; Both authors contributed equally.
  • Vano YA; Department of Medical Oncology, European Hospital Georges Pompidou - APHP, Paris 75015, France.
Cancer Drug Resist ; 3(3): 454-471, 2020.
Article em En | MEDLINE | ID: mdl-35582435
ABSTRACT
The prognosis of metastatic clear cell renal cell carcinoma (mccRCC) has changed dramatically over the years with the emergence of immune checkpoint inhibitors (ICI) used alone, or in combination with another ICI, or with vascular endothelial growth factor receptor tyrosine kinase inhibitor. Although major response rates have been observed with ICI, many patients do not respond, reflecting primary resistance, and durable responses remain exceptional, reflecting secondary resistance. Factors contributing to primary and acquired resistance are manifold, including patient-intrinsic factors, tumor cell-intrinsic factors and factors associated with the tumoral microenvironment (TME). While some mechanisms of resistance are common to several tumor types, others are specific to mccRCC. Predictive biomarkers and alternative strategies are needed to overcome this resistance. This review provides an overview of the major ICI resistance mechanisms, highlights the potential of the TME to induce resistance to ICI, and discusses the predictive biomarkers available to guide therapeutic choice.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article