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The current landscape of spatial biomarkers for prediction of response to immune checkpoint inhibition.
Williams, Hannah L; Frei, Ana Leni; Koessler, Thibaud; Berger, Martin D; Dawson, Heather; Michielin, Olivier; Zlobec, Inti.
Afiliação
  • Williams HL; Institute for Tissue Medicine and Pathology, University of Bern, Bern, Switzerland. hannah.williams@unibe.ch.
  • Frei AL; Institute for Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
  • Koessler T; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.
  • Berger MD; Medical Oncology Department, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205, Geneva, Switzerland.
  • Dawson H; Swiss Cancer Centre Léman, Lausanne, Geneva, Switzerland.
  • Michielin O; University of Geneva, Faculty of Medicine, Geneva, Switzerland.
  • Zlobec I; Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
NPJ Precis Oncol ; 8(1): 178, 2024 Aug 13.
Article em En | MEDLINE | ID: mdl-39138341
ABSTRACT
Enabling the examination of cell-cell relationships in tissue, spatially resolved omics technologies have revolutionised our perspectives on cancer biology. Clinically, the development of immune checkpoint inhibitors (ICI) has advanced cancer therapeutics. However, a major challenge of effective implementation is the identification of predictive biomarkers of response. In this review we examine the potential added predictive value of spatial biomarkers of response to ICI beyond current clinical benchmarks.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: NPJ Precis Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: NPJ Precis Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça País de publicação: Reino Unido