Patient-derived preclinical models to develop immunotherapies
Seoane Suárez, Joan (Vall d'Hebron Institut d'Oncologia)
Universitat Autònoma de Barcelona

Data:	2023
Resum:	Cancer immunotherapy has revolutionized the treatment of some malignancies. Yet, many tumors do not unfortunately respond to immune-based therapies. Deeper insights into the biology of the immune response to cancer are required to identify novel therapeutic targets and advance immuno-oncology. To do so, we need to study cancer in patient-derived models that can faithfully recapitulate and capture the complexity and heterogeneity of the tumor immune ecosystem. Platforms facilitating the analysis of the human tumor immune microenvironment of individual patients are crucial. Patient-derived models are fundamental not only to better understand the biology of the cancer immune system but also to discern the mechanism of action of therapeutic compounds and perform preclinical studies toward improving the success of subsequent clinical testing. In this viewpoint, I present a brief review of patient-derived models for cancer immunotherapy. Deeper insights into the biology of the immune response to cancer are required to identify novel therapeutic targets and advance immuno-oncology. To do so, we need to study cancer in patient-derived models that can faithfully recapitulate and capture the complexity and heterogeneity of the tumor immune ecosystem. Platforms facilitating the analysis of the human tumor immune microenvironment of individual patients are crucial. In this viewpoint, I present a brief review of patient-derived models for cancer immunotherapy.
Ajuts:	Instituto de Salud Carlos III PI2200130
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Immuno-oncology ; Immunotherapy ; Patient-derived models ; Preclinical models ; Translational models ; Tumor microenvironment
Publicat a:	Molecular oncology, Vol. 17 (june 2023) , p. 1169-1172, ISSN 1878-0261

DOI: 10.1002/1878-0261.13470
PMID: 37278114

4 p, 239.1 KB

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