skip to main content

Engineering the Bridge between Innate and Adaptive Immunity for Cancer Immunotherapy: Focus on [gamma] [delta] T and NK Cells

1, Fabio Morandi ; [Dagger]) Yazdanifar, Mahboubeh ; Cocco, Claudia ; Bertaina, Alice ; Airoldi, Irma

Cells (Basel, Switzerland), 2020-08, Vol.9 (8), p.1 [Periódico revisado por pares]

MDPI AG

Texto completo disponível

Citações Citado por
  • Título:
    Engineering the Bridge between Innate and Adaptive Immunity for Cancer Immunotherapy: Focus on [gamma] [delta] T and NK Cells
  • Autor: 1, Fabio Morandi ; [Dagger]) Yazdanifar, Mahboubeh ; Cocco, Claudia ; Bertaina, Alice ; Airoldi, Irma
  • Assuntos: Cancer ; Care and treatment ; Immunotherapy ; Innovations
  • É parte de: Cells (Basel, Switzerland), 2020-08, Vol.9 (8), p.1
  • Descrição: Most studies on genetic engineering technologies for cancer immunotherapy based on allogeneic donors have focused on adaptive immunity. However, the main limitation of such approaches is that they can lead to severe graft-versus-host disease (GvHD). An alternative approach would bolster innate immunity by relying on the natural tropism of some subsets of the innate immune system, such as [gamma][delta] T and natural killer (NK) cells, for the tumor microenvironment and their ability to kill in a major histocompatibility complex (MHC)-independent manner, [gamma][delta] T and NK cells have the unique ability to bridge innate and adaptive immunity while responding to a broad range of tumors. Considering these properties, [gamma][delta] T and NK cells represent ideal sources for developing allogeneic cell therapies. Recently significant efforts have been made to exploit the intrinsic anti-tumor capacity of these cells for treating hematologic and solid malignancies using genetic engineering approaches such as chimeric antigen receptor (CAR) and T cell receptor (TCR). Here, we review over 30 studies on these two approaches that use [gamma][delta] T and NK cells in adoptive cell therapy (ACT) for treating cancer. Based on those studies, we propose several promising strategies to optimize the clinical translation of these approaches.
  • Editor: MDPI AG
  • Idioma: Inglês

Buscando em bases de dados remotas. Favor aguardar.