Patient-Derived Explants as a Precision Medicine Patient-Proximal Testing Platform Informing Cancer Management

, , , , Ng, Gary, , , , , , , , & (2021) Patient-Derived Explants as a Precision Medicine Patient-Proximal Testing Platform Informing Cancer Management. Frontiers in Oncology, 11, Article number: 767697.

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Description

Precision medicine approaches that inform clinical management of individuals with cancer are progressively advancing. Patient-derived explants (PDEs) provide a patient-proximal ex vivo platform that can be used to assess sensitivity to standard of care (SOC) therapies and novel agents. PDEs have several advantages as a patient-proximal model compared to current preclinical models, as they maintain the phenotype and microenvironment of the individual tumor. However, the longevity of PDEs is not compatible with the timeframe required to incorporate candidate therapeutic options identified by whole exome sequencing (WES) of the patient's tumor. This review investigates how PDE longevity varies across tumor streams and how this is influenced by tissue preparation. Improving longevity of PDEs will enable individualized therapeutics testing, and thus contribute to improving outcomes for people with cancer.

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23 citations in Scopus
22 citations in Web of Science®
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ID Code: 227620
Item Type: Contribution to Journal (Review article)
Refereed: Yes
ORCID iD:
Jeffery, Penny Lorcid.org/0000-0003-1229-8724
Thomas, Patrick Borcid.org/0000-0002-3649-7923
Mackenzie, Nathan Jorcid.org/0000-0002-1712-1867
Bray, Laura Jorcid.org/0000-0002-1174-0018
Vela, Ianorcid.org/0000-0002-5659-0893
Thompson, Erik Worcid.org/0000-0002-9723-4924
Williams, Elizabeth Dorcid.org/0000-0002-3364-6655
Additional Information: Funding: This research was supported by funding from a Princess Alexandra Research Foundation award (EW, IV, ET, PT), and the Medical Research Future Fund (MRFF) Rapid Applied Research Translation Program (Centre for Personalised Analysis of Cancers (CPAC; EW, ET, IV: Grant ID GA59729); LB acknowledges the support of grant 1159637 awarded through the 2018 Priority-driven Collaborative Cancer Research Scheme and co-funded by Cancer Australia and Leukemia Foundation of Australia; The Translational Research Institute receives support from the Australian Government.
Measurements or Duration: 11 pages
DOI: 10.3389/fonc.2021.767697
ISSN: 2234-943X
Pure ID: 104237453
Divisions: Current > Research Centres > Centre for Behavioural Economics, Society & Technology
Current > Research Centres > Centre for Biomedical Technologies
Current > Research Centres > Centre for Genomics and Personalised Health
Current > QUT Faculties and Divisions > Faculty of Business & Law
Current > QUT Faculties and Divisions > Faculty of Engineering
Current > Schools > School of Mechanical, Medical & Process Engineering
Current > QUT Faculties and Divisions > Faculty of Health
Current > Schools > School of Biomedical Sciences
Funding Information: This research was supported by funding from a Princess Alexandra Research Foundation award (EW, IV, ET, PT), and the Medical Research Future Fund (MRFF) Rapid Applied Research Translation Program (Centre for Personalised Analysis of Cancers (CPAC; EW, ET, IV: Grant ID GA59729); LB acknowledges the support of grant 1159637 awarded through the 2018 Priority-driven Collaborative Cancer Research Scheme and co-funded by Cancer Australia and Leukemia Foundation of Australia; The Translational Research Institute receives support from the Australian Government.
Funding:
Copyright Owner: 2021 The Author(s)
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Deposited On: 25 Jan 2022 01:11
Last Modified: 10 Apr 2025 15:22