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Pyne E, Reardon M, Christensen M, Rodriguez Mateos P, Taylor S, Iles A, Choudhury A, Pamme N, Pires IM. Investigating the impact of the interstitial fluid flow and hypoxia interface on cancer transcriptomes using a spheroid-on-chip perfusion system. LAB ON A CHIP 2024; 24:4609-4622. [PMID: 39258507 PMCID: PMC11388701 DOI: 10.1039/d4lc00512k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 09/02/2024] [Indexed: 09/12/2024]
Abstract
Solid tumours are complex and heterogeneous systems, which exist in a dynamic biophysical microenvironment. Conventional cancer research methods have long relied on two-dimensional (2D) static cultures which neglect the dynamic, three-dimensional (3D) nature of the biophysical tumour microenvironment (TME), especially the role and impact of interstitial fluid flow (IFF). To address this, we undertook a transcriptome-wide analysis of the impact of IFF-like perfusion flow using a spheroid-on-chip microfluidic platform, which allows 3D cancer spheroids to be integrated into extracellular matrices (ECM)-like hydrogels and exposed to continuous perfusion, to mimic IFF in the TME. Importantly, we have performed these studies both in experimental (normoxia) and pathophysiological (hypoxia) oxygen conditions. Our data indicated that gene expression was altered by flow when compared to static conditions, and for the first time showed that these gene expression patterns differed in different oxygen tensions, reflecting a differential role of spheroid perfusion in IFF-like flow in tumour-relevant hypoxic conditions in the biophysical TME. We were also able to identify factors primarily linked with IFF-like conditions which are linked with prognostic value in cancer patients and therefore could correspond to a potential novel biomarker of IFF in cancer. This study therefore highlights the need to consider relevant oxygen conditions when studying the impact of flow in cancer biology, as well as demonstrating the potential of microfluidic models of flow to identify IFF-relevant tumour biomarkers.
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Affiliation(s)
- Emily Pyne
- Centre for Biomedicine, HYMS, University of Hull, Hull, UK
| | - Mark Reardon
- Translational Radiobiology, Division of Cancer Sciences, University of Manchester, Manchester, UK
| | | | - Pablo Rodriguez Mateos
- Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, Sweden
| | - Scott Taylor
- Tumour Hypoxia Biology, Division of Cancer Sciences, University of Manchester, Manchester, UK.
| | - Alexander Iles
- Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, Sweden
| | - Ananya Choudhury
- Translational Radiobiology, Division of Cancer Sciences, University of Manchester, Manchester, UK
- Christie Hospital NHS Foundation Trust, Manchester, UK
| | - Nicole Pamme
- Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, Sweden
| | - Isabel M Pires
- Centre for Biomedicine, HYMS, University of Hull, Hull, UK
- Tumour Hypoxia Biology, Division of Cancer Sciences, University of Manchester, Manchester, UK.
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Diagnostics of HNSCC Patients: An Analysis of Cell Lines and Patient-Derived Xenograft Models for Personalized Therapeutical Medicine. Diagnostics (Basel) 2022; 12:diagnostics12051071. [PMID: 35626227 PMCID: PMC9139588 DOI: 10.3390/diagnostics12051071] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 12/11/2022] Open
Abstract
Head and neck squamous cell carcinomas (HNSCC) are very frequent worldwide, and smoking and chronic alcohol use are recognized as the main risk factors. For oropharyngeal cancers, HPV 16 infection is known to be a risk factor as well. By employing next-generation sequencing, both HPV-positive and negative HNSCC patients were detected as positive for PI3K mutation, which was considered an optimal molecular target. We analyzed scientific literature published in the last 5 years regarding the newly available diagnostic platform for targeted therapy of HNSCC HPV+/−, using HNSCC-derived cell lines cultures and HNSCC pdx (patient-derived xenografts). The research results are promising and require optimal implementation in the management of HNSCC patients.
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