Clinical relevance and therapeutic predictive ability of hypoxia biomarkers in head and neck cancer tumour models
- Tet Woo Lee 1,2, Dean C Singleton 1,2,3, Julia K Harms 1, Man Lu 1, Sarah P McManaway 1, Amy Lai 1,4, Moana Tercel 1,2, Frederik B Pruijn 1,2, Andrew M J Macann 5, Francis W Hunter 1,2,6, William R Wilson 1,2, Stephen M F Jamieson 1,2,4
- Tet Woo Lee 1,2, Dean C Singleton 1,2,3, Julia K Harms 1
- 1Auckland Cancer Society Research Centre, University of Auckland, New Zealand.
- 2Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, New Zealand.
- 3Department of Molecular Medicine and Pathology, University of Auckland, New Zealand.
- 4Department of Pharmacology and Clinical Pharmacology, University of Auckland, New Zealand.
- 5Department of Radiation Oncology, Auckland City Hospital, New Zealand.
- 6Oncology Therapeutic Area, Janssen Research and Development, Spring House, PA, USA.
- 0Auckland Cancer Society Research Centre, University of Auckland, New Zealand.
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View abstract on PubMed
Summary
This summary is machine-generated.Tumour hypoxia in head and neck squamous cell carcinoma (HNSCC) impacts outcomes. New preclinical models show promise for testing hypoxia-targeting therapies, but additional biomarkers are needed to predict drug sensitivity.
Area Of Science
- Oncology
- Cancer Biology
- Preclinical Research
Background
- Tumour hypoxia is linked to poor patient outcomes, especially in head and neck squamous cell carcinoma (HNSCC).
- Effective hypoxia-targeting therapies require accurate preclinical models and selection biomarkers.
- Current models may not fully recapitulate clinical HNSCC hypoxia.
Purpose Of The Study
- To establish and characterize patient-derived xenograft (PDX) and cell line-derived xenograft (CDX) models of HNSCC.
- To evaluate the fidelity of these models in representing clinical HNSCC gene expression, hypoxia, and proliferation.
- To assess the sensitivity of these models to hypoxia-activated prodrugs (HAPs).
Main Methods
- Established 20 HNSCC PDX and CDX models.
- Characterized models for gene expression, hypoxia (gene signatures, pimonidazole IHC), and proliferation.
- Evaluated HAP sensitivity using tumour growth inhibition and ex vivo clonogenic assays.
Main Results
- PDX models demonstrated higher gene expression fidelity to clinical HNSCC than cell lines.
- PDX models were significantly more hypoxic than CDX models, mirroring clinical HNSCC hypoxia.
- Neither hypoxia nor proliferation status alone predicted HAP sensitivity across models.
Conclusions
- Developed clinically relevant HNSCC preclinical models for evaluating hypoxia-targeting therapies.
- PDX models offer superior fidelity for hypoxia research compared to CDX models.
- Additional biomarkers beyond hypoxia are necessary for predicting HAP drug sensitivity in HNSCC.
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