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Scott NP, Teoh EJ, Flight H, Jones BE, Niederer J, Mustata L, MacLean GM, Roy PG, Remoundos DD, Snell C, Liu C, Gleeson FV, Harris AL, Lord SR, McGowan DR. Characterising 18F-fluciclovine uptake in breast cancer through the use of dynamic PET/CT imaging. Br J Cancer 2022; 126:598-605. [PMID: 34795409 PMCID: PMC8854436 DOI: 10.1038/s41416-021-01623-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 10/25/2021] [Accepted: 10/29/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND 18F-fluciclovine is a synthetic amino acid positron emission tomography (PET) radiotracer that is approved for use in prostate cancer. In this clinical study, we characterised the kinetic model best describing the uptake of 18F-fluciclovine in breast cancer and assessed differences in tracer kinetics and static parameters for different breast cancer receptor subtypes and tumour grades. METHODS Thirty-nine patients with pathologically proven breast cancer underwent 20-min dynamic PET/computed tomography imaging following the administration of 18F-fluciclovine. Uptake into primary breast tumours was evaluated using one- and two-tissue reversible compartmental kinetic models and static parameters. RESULTS A reversible one-tissue compartment model was shown to best describe tracer uptake in breast cancer. No significant differences were seen in kinetic or static parameters for different tumour receptor subtypes or grades. Kinetic and static parameters showed a good correlation. CONCLUSIONS 18F-fluciclovine has potential in the imaging of primary breast cancer, but kinetic analysis may not have additional value over static measures of tracer uptake. CLINICAL TRIAL REGISTRATION NCT03036943.
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Affiliation(s)
- N P Scott
- Department of Oncology, University of Oxford, Oxford, UK
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - E J Teoh
- Department of Oncology, University of Oxford, Oxford, UK
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Blue Earth Diagnostics Ltd, Oxford Science Park, Oxford, UK
| | - H Flight
- Department of Oncology, University of Oxford, Oxford, UK
| | - B E Jones
- Royal Berkshire NHS Foundation Trust, Reading, UK
| | - J Niederer
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - L Mustata
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - G M MacLean
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - P G Roy
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - D D Remoundos
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - C Snell
- Mater Research, University of Queensland, Brisbane, QLD, Australia
- Mater Pathology, Mater Hospital Brisbane, Brisbane, QLD, Australia
| | - C Liu
- Mater Pathology, Mater Hospital Brisbane, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - F V Gleeson
- Department of Oncology, University of Oxford, Oxford, UK
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - A L Harris
- Department of Oncology, University of Oxford, Oxford, UK
- MRC Weatherall Institute of Molecular Medicine, Oxford, UK
| | - S R Lord
- Department of Oncology, University of Oxford, Oxford, UK
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - D R McGowan
- Department of Oncology, University of Oxford, Oxford, UK.
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
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Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D, McCole M, Derham JL, Chu KY, Teoh E, Chauhan J, O'Reilly D, Harris BHL, Macklin PS, Bull JA, Green M, Rodriguez-Berriguete G, Prevo R, Folkes LK, Campo L, Ferencz P, Croal PL, Flight H, Qi C, Holmes J, O'Connor JPB, Gleeson FV, McKenna WG, Harris AL, Bulte D, Buffa FM, Macpherson RE, Higgins GS. Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non-Small Cell Lung Cancer. Clin Cancer Res 2021; 27:2459-2469. [PMID: 33597271 PMCID: PMC7611473 DOI: 10.1158/1078-0432.ccr-20-4128] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/17/2021] [Accepted: 02/11/2021] [Indexed: 01/11/2023]
Abstract
PURPOSE Tumor hypoxia fuels an aggressive tumor phenotype and confers resistance to anticancer treatments. We conducted a clinical trial to determine whether the antimalarial drug atovaquone, a known mitochondrial inhibitor, reduces hypoxia in non-small cell lung cancer (NSCLC). PATIENTS AND METHODS Patients with NSCLC scheduled for surgery were recruited sequentially into two cohorts: cohort 1 received oral atovaquone at the standard clinical dose of 750 mg twice daily, while cohort 2 did not. Primary imaging endpoint was change in tumor hypoxic volume (HV) measured by hypoxia PET-CT. Intercohort comparison of hypoxia gene expression signatures using RNA sequencing from resected tumors was performed. RESULTS Thirty patients were evaluable for hypoxia PET-CT analysis, 15 per cohort. Median treatment duration was 12 days. Eleven (73.3%) atovaquone-treated patients had meaningful HV reduction, with median change -28% [95% confidence interval (CI), -58.2 to -4.4]. In contrast, median change in untreated patients was +15.5% (95% CI, -6.5 to 35.5). Linear regression estimated the expected mean HV was 55% (95% CI, 24%-74%) lower in cohort 1 compared with cohort 2 (P = 0.004), adjusting for cohort, tumor volume, and baseline HV. A key pharmacodynamics endpoint was reduction in hypoxia-regulated genes, which were significantly downregulated in atovaquone-treated tumors. Data from multiple additional measures of tumor hypoxia and perfusion are presented. No atovaquone-related adverse events were reported. CONCLUSIONS This is the first clinical evidence that targeting tumor mitochondrial metabolism can reduce hypoxia and produce relevant antitumor effects at the mRNA level. Repurposing atovaquone for this purpose may improve treatment outcomes for NSCLC.
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Affiliation(s)
- Michael Skwarski
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Daniel R McGowan
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
- Radiation Physics and Protection, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Elizabeth Belcher
- Department of Cardiothoracic Surgery, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Francesco Di Chiara
- Department of Cardiothoracic Surgery, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Dionisios Stavroulias
- Department of Cardiothoracic Surgery, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Mark McCole
- Department of Cellular Pathology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Jennifer L Derham
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Kwun-Ye Chu
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Eugene Teoh
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Jagat Chauhan
- Ludwig Institute for Cancer Research Oxford, University of Oxford, Oxford, England, United Kingdom
| | - Dawn O'Reilly
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Benjamin H L Harris
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Philip S Macklin
- Nuffield Department of Medicine, University of Oxford, Oxford, England, United Kingdom
| | - Joshua A Bull
- Wolfson Centre for Mathematical Biology, University of Oxford, Oxford, England, United Kingdom
| | - Marcus Green
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | | | - Remko Prevo
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Lisa K Folkes
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Leticia Campo
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Petra Ferencz
- Institute of Biomedical Engineering, University of Oxford, Oxford, England, United Kingdom
| | - Paula L Croal
- Institute of Biomedical Engineering, University of Oxford, Oxford, England, United Kingdom
| | - Helen Flight
- Oncology Clinical Trials Office, Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Cathy Qi
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, England, United Kingdom
| | - Jane Holmes
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, England, United Kingdom
| | - James P B O'Connor
- Division of Cancer Sciences, University of Manchester, Manchester, England, United Kingdom
| | - Fergus V Gleeson
- Department of Radiology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - W Gillies McKenna
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Adrian L Harris
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Daniel Bulte
- Institute of Biomedical Engineering, University of Oxford, Oxford, England, United Kingdom
| | - Francesca M Buffa
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom
| | - Ruth E Macpherson
- Department of Radiology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
| | - Geoff S Higgins
- Department of Oncology, University of Oxford, Oxford, England, United Kingdom.
- Department of Oncology, Oxford University Hospitals National Health Service Foundation Trust, Oxford, England, United Kingdom
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Skwarski M, McGowan D, Belcher E, Di Chiara F, Stavroulias D, Prevo R, Macklin P, Chauhan J, O'Reilly D, Green M, Ferencz P, Rodriguez-Berriguete G, Flight H, Qi C, Holmes J, Buffa F, McCole M, Bulte D, Macpherson R, Higgins G. Repurposing Atovaquone as a Tumor Hypoxia Modifier: A Window of Opportunity Study in Patients with Resectable Non-small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Gillan MGC, Gilbert FJ, Flight H, Cooper J, Wallis MG, James JJ, Boggis CRM, Astley SM, Agbaje OF, Duffy SW. Increasing participant recruitment into large-scale screening trials: experience from the CADET II study. J Med Screen 2009; 16:180-5. [DOI: 10.1258/jms.2009.009023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Objectives Multicentre randomized trials frequently encounter difficulties in meeting their recruitment targets, resulting in extension of the trial and delays in implementation of the findings. We report on recruitment strategies implemented in a randomized evaluation of computer-aided detection in women attending routine screening in the UK Breast Screening Programme. Setting The target population for the trial was identified from an existing NHS database of women aged 50–70 invited for routine mammography in Coventry, Manchester and Nottingham, UK. Women were asked to consent to their mammograms being randomly allocated (in a ratio of 28:1:1) to one of three film-reading protocols. Trial information was mailed to women, along with the invitation to attend screening, and informed consent was obtained at the mammography appointment. Several strategies were implemented to increase recruitment rates. Results Recruitment rate increased significantly over time in the study ( P < 0.0010 in all centres) with an overall acceptance rate of 46% of those attending screening. Mailing of the trial information sheet separate from the screening invitation in Coventry and Nottingham increased the recruitment rate, even after adjustment for the trend over time and for socioeconomic status of the attendees ( P < 0.001). Extension of recruitment to mobile screening units in Nottingham, and the presence of an additional member of staff also improved recruitment ( P < 0.001). Simplification of the trial information sheet had little effect. Increases in recruitment rate were not attributable to socioeconomic status of the attendees. Conclusions In multicentre trials, monitoring of local recruitment protocols is required to ensure that each centre can maximize accrual targets.
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Affiliation(s)
- Maureen G C Gillan
- Research Fellow, Aberdeen Biomedical maging Centre, University of Aberdeen, Aberdeen, UK
| | - Fiona J Gilbert
- Consultant Radiologist, Aberdeen Biomedical maging Centre, University of Aberdeen, Aberdeen, UK
| | - Helen Flight
- Research Assistant, Christie NHS Foundation Trust, Manchester, UK
| | - Joanna Cooper
- Secretary, Nottingham Breast Institute, Nottingham City Hospital, Nottingham, UK
| | - Matthew G Wallis
- Consultant Radiologist, Cambridge Breast Unit and Biomedical Research Centre, Addenbrookes Hospital, Cambridge, UK
| | - Jonathan J James
- Consultant Radiologist, Nottingham Breast Institute, Nottingham City Hospital, Nottingham, UK
| | - Caroline R M Boggis
- Consultant Radiologist, Nightingale Centre, Wythenshawe Hospital, Manchester, UK
| | - Susan M Astley
- Reader in Imaging Science, Department of maging Science & Biomedical Engineering, University of Manchester, UK
| | - Olorunsola F Agbaje
- Senior Medical Statistician, Division of Cancer Studies, Cancer Epidemiology Unit, King's College London, School of Medicine, London, UK
| | - Stephen W Duffy
- Professor of Cancer Screening, Department of Epidemiology, Mathematics & Statistics, Wolfson Institute of Preventive Medicine, London, UK
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