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The Evolving Landscape of Predictive Biomarkers in Immuno-Oncology With a Focus on Spatial Technologies Publisher



Sadeghi Rad H1 ; Bazaz SR2 ; Monkman J3, 4 ; Ebrahimi Warkiani M2, 5 ; Rezaei N1, 6, 7 ; Obyrne K3, 4, 8 ; Kulasinghe A3, 4, 9
Authors
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Authors Affiliations
  1. 1. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, Australia
  3. 3. The School of Biomedical Science, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
  4. 4. Translational Research Institute, Woolloongabba, QLD, Australia
  5. 5. Institute of Molecular Medicine, Sechenov University, Moscow, Russian Federation
  6. 6. Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
  7. 7. Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  8. 8. Princess Alexandra Hospital, Woolloongabba, QLD, Australia
  9. 9. Institute for Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia

Source: Clinical and Translational Immunology Published:2020


Abstract

Immunotherapies have shown long-lasting and unparalleled responses for cancer patients compared to conventional therapy. However, they seem to only be effective in a subset of patients. Therefore, it has become evident that a greater understanding of the tumor microenvironment (TME) is required to understand the nuances which may be at play for a favorable outcome to therapy. The immune contexture of the TME is an important factor in dictating how well a tumor may respond to immune checkpoint inhibitors. While traditional immunohistochemistry techniques allow for the profiling of cells in the tumor, this is often lost when tumors are analysed using bulk tissue genomic approaches. Moreover, the actual cellular proportions, cellular heterogeneity and deeper spatial distribution are lacking in characterisation. Advances in tissue interrogation technologies have given rise to spatially resolved characterisation of the TME. This review aims to provide an overview of the current methodologies that are used to profile the TME, which may provide insights into the immunopathology associated with a favorable outcome to immunotherapy. © 2020 The Authors. Clinical & Translational Immunology published by John Wiley & Sons Australia, Ltd on behalf of Australian and New Zealand Society for Immunology, Inc.
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