Immuno-Competent 3D Tumour Models to Predict Patient Response

A special issue of Cancers (ISSN 2072-6694).

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 578

Special Issue Editors


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Guest Editor
Division of Surgery and Interventional Science, University College London, London, UK
Interests: 3D in vitro cancer models; tumouroids; targeted treatments; theranostics; nanotechnology; precision oncology; patient-derived 3D models
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Guest Editor
University of Westminster, Cancer Research Group, School of Life Sciences, London, UK
Interests: metastasis; 3D models; invasion; growth; pharmacological intervention; glycobiology

Special Issue Information

Dear Colleagues,

Developing predictive models in the laboratory for personalised cancer treatment remains the major current challenge in oncology. 3D in vitro models which recapitulate key elements of solid tumours, such as topology, heterogeneity, and microenvironmental cues, have emerged as a realistic platform for investigations into the development and evaluation of new anti-cancer therapies.

Current research focuses on creating such models using patient derived cells and tissues and, importantly, in their incorporation into immunocomponent models to interrogate promising immunotherapies.

This Special Issue will present advances in the field of immunocompetent 3D models to predict patient response.

Prof. Marilena Loizidou
Prof. Miriam Dwek
Guest Editors

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Keywords

  • organoids
  • tissue-engineered tumouroids
  • cancer-on-a chip
  • patient-derived xenografts
  • microfluidics
  • 3D bioprinting
  • T-cells
  • tumour microenvironment

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Published Papers

There is no accepted submissions to this special issue at this moment.
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