1
|
Price G, Peek N, Eleftheriou I, Spencer K, Paley L, Hogenboom J, van Soest J, Dekker A, van Herk M, Faivre-Finn C. An Overview of Real-World Data Infrastructure for Cancer Research. Clin Oncol (R Coll Radiol) 2024:S0936-6555(24)00108-0. [PMID: 38631976 DOI: 10.1016/j.clon.2024.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/27/2024] [Accepted: 03/13/2024] [Indexed: 04/19/2024]
Abstract
AIMS There is increasing interest in the opportunities offered by Real World Data (RWD) to provide evidence where clinical trial data does not exist, but access to appropriate data sources is frequently cited as a barrier to RWD research. This paper discusses current RWD resources and how they can be accessed for cancer research. MATERIALS AND METHODS There has been significant progress on facilitating RWD access in the last few years across a range of scales, from local hospital research databases, through regional care records and national repositories, to the impact of federated learning approaches on internationally collaborative studies. We use a series of case studies, principally from the UK, to illustrate how RWD can be accessed for research and healthcare improvement at each of these scales. RESULTS For each example we discuss infrastructure and governance requirements with the aim of encouraging further work in this space that will help to fill evidence gaps in oncology. CONCLUSION There are challenges, but real-world data research across a range of scales is already a reality. Taking advantage of the current generation of data sources requires researchers to carefully define their research question and the scale at which it would be best addressed.
Collapse
Affiliation(s)
- G Price
- Division of Cancer Sciences, University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK.
| | - N Peek
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK; The Healthcare Improvement Studies Institute (THIS Institute), University of Cambridge, Cambridge, UK
| | - I Eleftheriou
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - K Spencer
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK; Leeds Teaching Hospitals NHS Trust, Leeds, UK; National Disease Registration Service, NHS England, UK
| | - L Paley
- National Disease Registration Service, NHS England, UK
| | - J Hogenboom
- Department of Radiation Oncology (Maastro), GROW-School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - J van Soest
- Department of Radiation Oncology (Maastro), GROW-School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands; Brightlands Institute for Smart Society (BISS), Faculty of Science and Engineering, Maastricht University, Maastricht, The Netherlands
| | - A Dekker
- Department of Radiation Oncology (Maastro), GROW-School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - M van Herk
- Division of Cancer Sciences, University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - C Faivre-Finn
- Division of Cancer Sciences, University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| |
Collapse
|
2
|
Christopoulos P, Harel M, McGregor K, Brody Y, Puzanov I, Bar J, Elon Y, Sela I, Yellin B, Lahav C, Raveh S, Reiner-Benaim A, Reinmuth N, Nechushtan H, Farrugia D, Bustinza-Linares E, Lou Y, Leibowitz R, Kamer I, Zer Kuch A, Moskovitz M, Levy-Barda A, Koch I, Lotem M, Katzenelson R, Agbarya A, Price G, Cheley H, Abu-Amna M, Geldart T, Gottfried M, Tepper E, Polychronis A, Wolf I, Dicker AP, Carbone DP, Gandara DR. Plasma Proteome-Based Test for First-Line Treatment Selection in Metastatic Non-Small Cell Lung Cancer. JCO Precis Oncol 2024; 8:e2300555. [PMID: 38513170 PMCID: PMC10965206 DOI: 10.1200/po.23.00555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/15/2023] [Accepted: 01/25/2024] [Indexed: 03/23/2024] Open
Abstract
PURPOSE Current guidelines for the management of metastatic non-small cell lung cancer (NSCLC) without driver mutations recommend checkpoint immunotherapy with PD-1/PD-L1 inhibitors, either alone or in combination with chemotherapy. This approach fails to account for individual patient variability and host immune factors and often results in less-than-ideal outcomes. To address the limitations of the current guidelines, we developed and subsequently blindly validated a machine learning algorithm using pretreatment plasma proteomic profiles for personalized treatment decisions. PATIENTS AND METHODS We conducted a multicenter observational trial (ClinicalTrials.gov identifier: NCT04056247) of patients undergoing PD-1/PD-L1 inhibitor-based therapy (n = 540) and an additional patient cohort receiving chemotherapy (n = 85) who consented to pretreatment plasma and clinical data collection. Plasma proteome profiling was performed using SomaScan Assay v4.1. RESULTS Our test demonstrates a strong association between model output and clinical benefit (CB) from PD-1/PD-L1 inhibitor-based treatments, evidenced by high concordance between predicted and observed CB (R2 = 0.98, P < .001). The test categorizes patients as either PROphet-positive or PROphet-negative and further stratifies patient outcomes beyond PD-L1 expression levels. The test successfully differentiates between PROphet-negative patients exhibiting high tumor PD-L1 levels (≥50%) who have enhanced overall survival when treated with a combination of immunotherapy and chemotherapy compared with immunotherapy alone (hazard ratio [HR], 0.23 [95% CI, 0.1 to 0.51], P = .0003). By contrast, PROphet-positive patients show comparable outcomes when treated with immunotherapy alone or in combination with chemotherapy (HR, 0.78 [95% CI, 0.42 to 1.44], P = .424). CONCLUSION Plasma proteome-based testing of individual patients, in combination with standard PD-L1 testing, distinguishes patient subsets with distinct differences in outcomes from PD-1/PD-L1 inhibitor-based therapies. These data suggest that this approach can improve the precision of first-line treatment for metastatic NSCLC.
Collapse
Affiliation(s)
- Petros Christopoulos
- Department of Thoracic Oncology, Thoraxklinik at Heidelberg University Hospital and National Center for Tumor Diseases, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | | | | | | | - Igor Puzanov
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY
- The Roswell Park Comprehensive Cancer Center Data Bank and BioRepository
| | - Jair Bar
- Institute of Oncology, Chaim Sheba Medical Center, Tel Hashomer, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | | | | | | | | | | | - Anat Reiner-Benaim
- Department of Epidemiology, Biostatistics and Community Health Sciences, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Niels Reinmuth
- Asklepios Kliniken GmbH, Asklepios Fachkliniken Muenchen, Gauting, Germany
- The German Center for Lung Research (DZL), Munich-Gauting, Germany
| | - Hovav Nechushtan
- Oncology Laboratory, Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | | | | | - Yanyan Lou
- Division of Hematology and Oncology, Mayo Clinic School of Medicine, Jacksonville, FL
| | - Raya Leibowitz
- Shamir Medical Center, Oncology Institute, Zerifin, Israel
| | - Iris Kamer
- Institute of Oncology, Chaim Sheba Medical Center, Tel Hashomer, Israel
| | - Alona Zer Kuch
- Department of Oncology, Rambam Medical Center, Haifa, Israel
| | - Mor Moskovitz
- Thoracic Cancer Service, Davidoff Cancer Center, Beilinson, Petah Tikva, Israel
| | - Adva Levy-Barda
- Biobank, Department of Pathology, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel
| | - Ina Koch
- Asklepios Kliniken GmbH, Asklepios Fachkliniken Muenchen, Gauting, Germany
| | - Michal Lotem
- Center for Melanoma and Cancer Immunotherapy, Hadassah Hebrew University Medical Center, Sharett Institute of Oncology, Jerusalem, Israel
| | | | - Abed Agbarya
- Institute of Oncology, Bnai Zion Medical Center, Haifa, Israel
| | - Gillian Price
- Department of Medical Oncology, Aberdeen Royal Infirmary NHS Grampian, Aberdeen, United Kingdom
| | | | - Mahmoud Abu-Amna
- Oncology & Hematology Division, Cancer Center, Emek Medical Center, Afula, Israel
| | | | - Maya Gottfried
- Department of Oncology, Meir Medical Center, Kfar-Saba, Israel
| | - Ella Tepper
- Department of Oncology, Assuta Hospital, Tel Aviv, Israel
| | | | - Ido Wolf
- Division of Oncology, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel
| | | | - David P. Carbone
- Comprehensive Cancer Center, Ohio State University, Columbus, OH
| | - David R. Gandara
- Division of Hematology and Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, CA
| |
Collapse
|
3
|
Sadlon A, Takousis P, Evangelou E, Prokopenko I, Alexopoulos P, Udeh-Momoh CM, Price G, Middleton L, Perneczky R. Association of Blood MicroRNA Expression and Polymorphisms with Cognitive and Biomarker Changes in Older Adults. J Prev Alzheimers Dis 2024; 11:230-240. [PMID: 38230736 PMCID: PMC10994991 DOI: 10.14283/jpad.2023.99] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 04/26/2023] [Accepted: 07/13/2023] [Indexed: 01/18/2024]
Abstract
BACKGROUND Identifying individuals before the onset of overt symptoms is key in the prevention of Alzheimer's disease (AD). OBJECTIVES Investigate the use of miRNA as early blood-biomarker of cognitive decline in older adults. DESIGN Cross-sectional. SETTING Two observational cohorts (CHARIOT-PRO, Alzheimer's Disease Neuroimaging Initiative (ADNI)). PARTICIPANTS 830 individuals without overt clinical symptoms from CHARIOT-PRO and 812 individuals from ADNI. MEASUREMENTS qPCR analysis of a prioritised set of 38 miRNAs in the blood of individuals from CHARIOT-PRO, followed by a brain-specific functional enrichment analysis for the significant miRNAs. In ADNI, genetic association analysis for polymorphisms within the significant miRNAs' genes and CSF levels of phosphorylated-tau, total-tau, amyloid-β42, soluble-TREM2 and BACE1 activity using whole genome sequencing data. Post-hoc analysis using multi-omics datasets. RESULTS Six miRNAs (hsa-miR-128-3p, hsa-miR-144-5p, hsa-miR-146a-5p, hsa-miR-26a-5p, hsa-miR-29c-3p and hsa-miR-363-3p) were downregulated in the blood of individuals with low cognitive performance on the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The pathway enrichment analysis indicated involvement of apoptosis and inflammation, relevant in early AD stages. Polymorphisms within genes encoding for hsa-miR-29c-3p and hsa-miR-146a-5p were associated with CSF levels of amyloid-β42, soluble-TREM2 and BACE1 activity, and 21 variants were eQTL for hippocampal MIR29C expression. CONCLUSIONS six miRNAs may serve as potential blood biomarker of subclinical cognitive deficits in AD. Polymorphisms within these miRNAs suggest a possible interplay between the amyloid cascade and microglial activation at preclinical stages of AD.
Collapse
Affiliation(s)
- A Sadlon
- Prof. Dr. Robert Perneczky, Division of Mental Health of Older Adults, Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Nußbaumstr. 7, 80336 Munich, Germany, Tel.: +49 89 4400 55772, Fax: +49 89 4400-55448,
| | | | | | | | | | | | | | | | | |
Collapse
|
4
|
Fornacon-Wood I, Banfill K, Ahmad S, Britten A, Carson C, Dorey N, Hatton M, Hiley C, Thippu Jayaprakash K, Jegannathen A, Kidd AC, Koh P, Panakis N, Peedell C, Peters A, Pope A, Powell C, Stilwell C, Thomas B, Toy E, Wicks K, Wood V, Yahya S, Price G, Faivre-Finn C. Impact of the COVID-19 Pandemic on Outcomes for Patients with Lung Cancer Receiving Curative-intent Radiotherapy in the UK. Clin Oncol (R Coll Radiol) 2023; 35:e593-e600. [PMID: 37507280 DOI: 10.1016/j.clon.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 03/17/2023] [Revised: 06/13/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023]
Abstract
AIMS Previous work found that during the first wave of the COVID-19 pandemic, 34% of patients with lung cancer treated with curative-intent radiotherapy in the UK had a change to their centre's usual standard of care treatment (Banfill et al. Clin Oncol 2022;34:19-27). We present the impact of these changes on patient outcomes. MATERIALS AND METHODS The COVID-RT Lung database was a prospective multicentre UK cohort study including patients with stage I-III lung cancer referred for and/or treated with radical radiotherapy between April and October 2020. Data were collected on patient demographics, radiotherapy and systemic treatments, toxicity, relapse and death. Multivariable Cox and logistic regression were used to assess the impact of having a change to radiotherapy on survival, distant relapse and grade ≥3 acute toxicity. The impact of omitting chemotherapy on survival and relapse was assessed using multivariable Cox regression. RESULTS Patient and follow-up forms were available for 1280 patients. Seven hundred and sixty-five (59.8%) patients were aged over 70 years and 603 (47.1%) were female. The median follow-up was 213 days (119, 376). Patients with stage I-II non-small cell lung cancer (NSCLC) who had a change to their radiotherapy had no significant increase in distant relapse (P = 0.859) or death (P = 0.884); however, they did have increased odds of grade ≥3 acute toxicity (P = 0.0348). Patients with stage III NSCLC who had a change to their radiotherapy had no significant increase in distant relapse (P = 0.216) or death (P = 0.789); however, they did have increased odds of grade ≥3 acute toxicity (P < 0.001). Patients with stage III NSCLC who had their chemotherapy omitted had no significant increase in distant relapse (P = 0.0827) or death (P = 0.0661). CONCLUSION This study suggests that changes to radiotherapy and chemotherapy made in response to the COVID-19 pandemic did not significantly affect distant relapse or survival. Changes to radiotherapy, namely increased hypofractionation, led to increased odds of grade ≥3 acute toxicity. These results are important, as hypofractionated treatments can help to reduce hospital attendances in the context of potential future emergency situations.
Collapse
Affiliation(s)
| | - K Banfill
- University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - S Ahmad
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - A Britten
- Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
| | - C Carson
- The Northern Ireland Cancer Centre, Belfast, UK
| | - N Dorey
- Torbay and South Devon NHS Foundation Trust, Torquay, UK
| | - M Hatton
- Weston Park Hospital, Sheffield, UK
| | - C Hiley
- University College London Hospitals, London, UK
| | - K Thippu Jayaprakash
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - A Jegannathen
- University Hospitals North Midlands, Stoke on Trent, UK
| | | | - P Koh
- Royal Wolverhampton NHS Trust, Wolverhampton, UK
| | - N Panakis
- Oxford University Hospitals NHS Trust, Oxford, UK
| | - C Peedell
- The James Cook University Hospital, Middlesborough, UK
| | - A Peters
- Beatson West of Scotland Cancer Centre, Glasgow, UK
| | - A Pope
- Clatterbridge Cancer Centre, Liverpool, UK
| | - C Powell
- Velindre Cancer Centre, Cardiff, UK
| | | | - B Thomas
- Swansea Bay University Hospital, Swansea, UK
| | - E Toy
- Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - K Wicks
- University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - V Wood
- University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - S Yahya
- University Hospitals Birmingham, Birmingham, UK
| | - G Price
- University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| | - C Faivre-Finn
- University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| |
Collapse
|
5
|
Gaito S, France AK, Aznar M, Crellin A, Indelicato DJ, Kirkby K, Pan S, Whitfield G, Price G, Sitch P, Smith E. Equity of Access to Proton Beam Therapy in England: A National NHS analysis. Int J Radiat Oncol Biol Phys 2023; 117:e19. [PMID: 37784822 DOI: 10.1016/j.ijrobp.2023.06.688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Policies to improve population health have often focused on equitable access to health services. While new technologies have an enormous potential in improving health outcomes, they may not always be equally accessible across diverse geographical areas and socio-economic backgrounds. Between 2008 and 2018, 1352 patients with eligible indications for Proton Beam Therapy (PBT) were treated overseas within the NHS Proton Overseas Programme (POP) and 947 patients have been treated at the Christie since the National NHS PBT service started in December 2018. The 8 most common PBT cancer indications cover more than 80% of the referrals and referral rates depend on several factors. Aim of this study is to evaluate equity of access to PBT throughout the country and how this has changed since the national PBT service inception. MATERIALS/METHODS Incidence data were available for 7/8 of the most common PBT cancer indications. These data were provided by the National Disease Registration Service (NDRS) by diagnosis, age group and by the 7 NHS regions in England. The incidence data referred to the time period 2013-2019. The first national NHS PBT center started accepting referrals in October 2018, therefore this time period was split in pre-NHS PBT (1/1/13-30/9/18) and post-NHS PBT (1/10/18-31/12/19). Demographics and clinical characteristics of patients referred for PBT were extracted from the national NHS PBT registry for matching clinical diagnoses and time period. The ratio between the referred (observed) and newly diagnosed (expected) patients is the Proton Utilization Proportion (PUP), which tracks the proportion of eligible patients using the technology. RESULTS For the 7 common PBT indications examined, the total number of newly diagnosed patients was 2134 in the pre-NHS PBT period and 461 in the post-NHS PBT period. The (accepted) referrals were 587 and 300 in the pre-and post-NHS PBT period, respectively. An increase in the PUP between the pre-NHS PBT and the post-NHS PBT is noted for any diagnostic category, age group and NHS region. The most noticeable increase is noticed for Medulloblastoma, which became a commissioned indication for PBT only in 2016.The PUP in England increased post-NHS PBT by 137% overall. Of note, post-NHS PBT, 99% of the patients aged 0-15 with these 7 common indications for PBT were referred and treated with PBT. CONCLUSION Promoting equality of access to cutting-edge radiotherapy technologies is at the heart of NHS England's values. Throughout the development of the policies and processes related to PBT access in the UK, the NHS has given regard to the need to reduce geographical variation which may contribute to health inequalities. The PUP has increased since the opening of a National PBT service in England, which uses a central web-based Proton Referral Pathway managed by a National Proton Office. Further analysis will follow to examine whether socio-economic or geographical barriers exist within each region.
Collapse
Affiliation(s)
- S Gaito
- The Christie NHS Foundation Trust, Manchester, United Kingdom; The University of Manchester, Manchester, United Kingdom
| | - A K France
- The Christie NHS Foundation Trust, Proton Clinical Outcomes Unit, Manchester, United Kingdom
| | - M Aznar
- The University of Manchester, Manchester, United Kingdom
| | - A Crellin
- The University of Manchester, Manchester, United Kingdom; NHS England, London, United Kingdom
| | - D J Indelicato
- Department of Radiation Oncology, University of Florida College of Medicine, Jacksonville, FL
| | - K Kirkby
- The Christie NHS Foundation Trust, Manchester, United Kingdom; The University of Manchester, Manchester, United Kingdom
| | - S Pan
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - G Whitfield
- The Christie NHS Foundation Trust, Manchester, United Kingdom; The University of Manchester, Manchester, United Kingdom
| | - G Price
- The University of Manchester, Manchester, United Kingdom
| | - P Sitch
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - E Smith
- The Christie NHS Foundation Trust, Manchester, United Kingdom; The University of Manchester, Manchester, United Kingdom
| |
Collapse
|
6
|
Swinton M, Dubec M, McHugh D, Biglin E, Sanchez DF, Oliveira P, Price G, McWilliam A, van Herk M, Hoskin P, Buckley DL, Hudson A, Bristow RG, Choudhury A. Validation of Hypoxia Detection Sequences on the MR Linac. Int J Radiat Oncol Biol Phys 2023; 117:e723-e724. [PMID: 37786109 DOI: 10.1016/j.ijrobp.2023.06.2234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Magnetic resonance linear accelerator (MRL) systems permit acquisition of novel imaging at the time of radiotherapy. A validated MR hypoxia imaging biomarker could select patients for adaptive radiotherapy with hypoxia modification or dose escalation. The aims of this study were (1) to develop a protocol for quantitative hypoxia sensitive MRI (2) to validate these in prostate cancer (PCa) against pimonidazole-stained prostatectomy sections. MATERIALS/METHODS Blood oxygen level dependent (BOLD), intravoxel incoherent motion (IVIM), oxygen-enhanced (OE) and dynamic contrast enhanced (DCE) MRI were used. Sequences were developed on a diagnostic 1.5 T MR (MRD) and MRL with healthy volunteers and PCa patients. The Hyprogen trial includes men with localized PCa scheduled for prostatectomy. Imaging is acquired twice prior to surgery and oral pimonidazole is taken 8-16 hours before surgery. Whole prostate (WP) and dominant prostatic lesion (DIL) were outlined on T2-weighted (T2W) images and a 'normal prostate' (NP) volume created by subtracting DIL from WP. Contours were applied to parametric maps from the quantitative MRI, with median and IQR extracted. Patient-specific 3D-printed prostate molds were created from WP volumes and used to guide prostate whole organ dissection. RESULTS Three of 20 patients recruited to date. MRI data were acquired successfully. A personalized prostate mold was produced for each patient and facilitated dissection of the prostatectomy specimen in a matching plane to MRI to validate hypoxia detection of the MR protocol. Correlation with pimonidazole staining is underway. Imaging parameter median values for NP and DIL acquired on MRD and MRL for the first patient are shown (Table 1). The expected differences between NP and DIL for T1 and D are seen and median values for T2* are consistent with reported values in the literature. CONCLUSION The MR hypoxia protocol can be acquired safely and is well-tolerated on the MRL. Once validated against pimonidazole staining adaptive radiotherapy protocols will be developed to use this information.
Collapse
Affiliation(s)
- M Swinton
- Christie Hospital, Manchester, United Kingdom
| | - M Dubec
- University of Manchester, Manchester, United Kingdom
| | - D McHugh
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - E Biglin
- University of Manchester, Manchester, United Kingdom
| | - D F Sanchez
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - P Oliveira
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - G Price
- The University of Manchester, Manchester, United Kingdom
| | - A McWilliam
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - M van Herk
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - P Hoskin
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - D L Buckley
- Biomedical Imaging, University of Leeds, Leeds, United Kingdom
| | - A Hudson
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - R G Bristow
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - A Choudhury
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK, Manchester, United Kingdom
| |
Collapse
|
7
|
Gaffney J, Ramzan A, Dinizulu T, Onamusi DO, Motamedi-Ghahfarokhi G, Mistry H, Price G, Garcez K, Hughes C, Thomson DD, Lee LW, Jain Y, Price JM, McPartlin A. Temporal Incidence and Patterns of Distant Failure for Human Papillomavirus (HPV) Related Oropharyngeal Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e582-e583. [PMID: 37785768 DOI: 10.1016/j.ijrobp.2023.06.2518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) HPV related oropharyngeal cancer (HPV-OPC) enjoys improved treatment outcomes relative to non-HPV related disease but suffers from similar rates of distant metastases (DM) following treatment. Emerging data supports radical intent therapy for oligometastatic relapsed HPV-OPC, suggesting early diagnosis of DM may be beneficial to outcome. We assess temporal patterns in distance relapse to investigate rationalization of post treatment imaging. MATERIALS/METHODS A retrospective single center cohort study was carried out of consecutive HPV-OPC treated with radical intent (chemo)radiotherapy ((CT)RT) between 2011 and 2020. Electronic records were reviewed to identify location and timing of development of DM. Oligometastatic (OM) state was defined as = 5 metastasis in one system. RESULTS A total of 793 HPV-OPC patients were identified with median follow-up 3.15 years (range 0.2-8.9). The median time to recurrence was 15.1 months (range: 2.6-63 months). 87% of DM occurred in the first two years after treatment. Pattern of failure by stage are shown in table 1. Indications for scans performed identifying DM alone were symptoms (66%), follow-up imaging based on previous radiological findings (15%), disease response assessment imaging (15%), and incidental findings (4%). Sites of distant metastasis were lung (64%), thoracic nodes (36.5%), bone (27%), visceral (23%), brain (4%) and skin (2%). The sites of visceral metastasis involvement included liver (92%), Adrenal (18%), kidney (18%), and spleen (9%). Treatment offered to patients with OM alone was best supportive care (46%), palliative chemotherapy (15.4%), palliative RT (23%), immunotherapy (8%), and one patient lost to follow up (8%). SBRT was not available during time period. Median survival following diagnosis was 17.5 months (range 4.4-85.4 months). CONCLUSION Despite no routine imaging beyond initial treatment response assessment, we identify a small minority of HPV OPC patients with OM recurrence that is associated with better outcome and occasional long-term cure from aggressive therapy. The majority (69%) of DM occur in the thorax/upper abdomen of patients in the first two years post treatment. This finding supports the potential utility of regular imaging of thorax/upper abdomen during early follow.
Collapse
Affiliation(s)
- J Gaffney
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - A Ramzan
- Department of Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - T Dinizulu
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - D O Onamusi
- The University of Manchester, Manchester, United Kingdom
| | | | - H Mistry
- The University of Manchester, Manchester, United Kingdom
| | - G Price
- The Christie NHS Foundation Trust, Manchester, United Kingdom; The University of Manchester, Manchester, United Kingdom
| | - K Garcez
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - C Hughes
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - D D Thomson
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - L W Lee
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Y Jain
- Department of Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - J M Price
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - A McPartlin
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| |
Collapse
|
8
|
Frankell AM, Dietzen M, Al Bakir M, Lim EL, Karasaki T, Ward S, Veeriah S, Colliver E, Huebner A, Bunkum A, Hill MS, Grigoriadis K, Moore DA, Black JRM, Liu WK, Thol K, Pich O, Watkins TBK, Naceur-Lombardelli C, Cook DE, Salgado R, Wilson GA, Bailey C, Angelova M, Bentham R, Martínez-Ruiz C, Abbosh C, Nicholson AG, Le Quesne J, Biswas D, Rosenthal R, Puttick C, Hessey S, Lee C, Prymas P, Toncheva A, Smith J, Xing W, Nicod J, Price G, Kerr KM, Naidu B, Middleton G, Blyth KG, Fennell DA, Forster MD, Lee SM, Falzon M, Hewish M, Shackcloth MJ, Lim E, Benafif S, Russell P, Boleti E, Krebs MG, Lester JF, Papadatos-Pastos D, Ahmad T, Thakrar RM, Lawrence D, Navani N, Janes SM, Dive C, Blackhall FH, Summers Y, Cave J, Marafioti T, Herrero J, Quezada SA, Peggs KS, Schwarz RF, Van Loo P, Miedema DM, Birkbak NJ, Hiley CT, Hackshaw A, Zaccaria S, Jamal-Hanjani M, McGranahan N, Swanton C. The evolution of lung cancer and impact of subclonal selection in TRACERx. Nature 2023; 616:525-533. [PMID: 37046096 PMCID: PMC10115649 DOI: 10.1038/s41586-023-05783-5] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 02/02/2023] [Indexed: 04/14/2023]
Abstract
Lung cancer is the leading cause of cancer-associated mortality worldwide1. Here we analysed 1,644 tumour regions sampled at surgery or during follow-up from the first 421 patients with non-small cell lung cancer prospectively enrolled into the TRACERx study. This project aims to decipher lung cancer evolution and address the primary study endpoint: determining the relationship between intratumour heterogeneity and clinical outcome. In lung adenocarcinoma, mutations in 22 out of 40 common cancer genes were under significant subclonal selection, including classical tumour initiators such as TP53 and KRAS. We defined evolutionary dependencies between drivers, mutational processes and whole genome doubling (WGD) events. Despite patients having a history of smoking, 8% of lung adenocarcinomas lacked evidence of tobacco-induced mutagenesis. These tumours also had similar detection rates for EGFR mutations and for RET, ROS1, ALK and MET oncogenic isoforms compared with tumours in never-smokers, which suggests that they have a similar aetiology and pathogenesis. Large subclonal expansions were associated with positive subclonal selection. Patients with tumours harbouring recent subclonal expansions, on the terminus of a phylogenetic branch, had significantly shorter disease-free survival. Subclonal WGD was detected in 19% of tumours, and 10% of tumours harboured multiple subclonal WGDs in parallel. Subclonal, but not truncal, WGD was associated with shorter disease-free survival. Copy number heterogeneity was associated with extrathoracic relapse within 1 year after surgery. These data demonstrate the importance of clonal expansion, WGD and copy number instability in determining the timing and patterns of relapse in non-small cell lung cancer and provide a comprehensive clinical cancer evolutionary data resource.
Collapse
Affiliation(s)
- Alexander M Frankell
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Michelle Dietzen
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Maise Al Bakir
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Emilia L Lim
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Takahiro Karasaki
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
| | - Sophia Ward
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Selvaraju Veeriah
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Emma Colliver
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Ariana Huebner
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Abigail Bunkum
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Mark S Hill
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Kristiana Grigoriadis
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - David A Moore
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Cellular Pathology, University College London Hospitals, London, UK
| | - James R M Black
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Wing Kin Liu
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
| | - Kerstin Thol
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Oriol Pich
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Thomas B K Watkins
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | | | - Daniel E Cook
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Roberto Salgado
- Department of Pathology, ZAS Hospitals, Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Gareth A Wilson
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Chris Bailey
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Mihaela Angelova
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Robert Bentham
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Carlos Martínez-Ruiz
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Christopher Abbosh
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Andrew G Nicholson
- Department of Histopathology, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - John Le Quesne
- Cancer Research UK Beatson Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
- Pathology Department, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - Dhruva Biswas
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Bill Lyons Informatics Centre, University College London Cancer Institute, London, UK
| | - Rachel Rosenthal
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Clare Puttick
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Sonya Hessey
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Claudia Lee
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Division of Medicine, University College London, London, UK
| | - Paulina Prymas
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Antonia Toncheva
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Jon Smith
- Scientific Computing, The Francis Crick Institute, London, UK
| | - Wei Xing
- Scientific Computing, The Francis Crick Institute, London, UK
| | - Jerome Nicod
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Gillian Price
- Department of Medical Oncology, Aberdeen Royal Infirmary NHS Grampian, Aberdeen, UK
- University of Aberdeen, Aberdeen, UK
| | - Keith M Kerr
- University of Aberdeen, Aberdeen, UK
- Department of Pathology, Aberdeen Royal Infirmary NHS Grampian, Aberdeen, UK
| | - Babu Naidu
- Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- University Hospital Birmingham NHS Foundation Trust, Birmingham, UK
| | - Gary Middleton
- University Hospital Birmingham NHS Foundation Trust, Birmingham, UK
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Kevin G Blyth
- Cancer Research UK Beatson Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK
| | - Dean A Fennell
- University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Martin D Forster
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Siow Ming Lee
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Mary Falzon
- Department of Cellular Pathology, University College London Hospitals, London, UK
| | - Madeleine Hewish
- Royal Surrey Hospital, Royal Surrey Hospitals NHS Foundation Trust, Guilford, UK
- University of Surrey, Guilford, UK
| | | | - Eric Lim
- Academic Division of Thoracic Surgery, Imperial College London, London, UK
- Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Sarah Benafif
- Department of Oncology, University College London Hospitals, London, UK
| | - Peter Russell
- Princess Alexandra Hospital, The Princess Alexandra Hospital NHS Trust, Harlow, UK
| | - Ekaterini Boleti
- Royal Free Hospital, Royal Free London NHS Foundation Trust, London, UK
| | - Matthew G Krebs
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Jason F Lester
- Singleton Hospital, Swansea Bay University Health Board, Swansea, UK
| | | | - Tanya Ahmad
- Department of Oncology, University College London Hospitals, London, UK
| | - Ricky M Thakrar
- Department of Thoracic Medicine, University College London Hospitals, London, UK
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - David Lawrence
- Department of Thoracic Surgery, University College London Hospital NHS Trust, London, UK
| | - Neal Navani
- Department of Thoracic Medicine, University College London Hospitals, London, UK
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Sam M Janes
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Caroline Dive
- Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University of Manchester, Manchester, UK
| | - Fiona H Blackhall
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Yvonne Summers
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Judith Cave
- Department of Oncology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Teresa Marafioti
- Department of Cellular Pathology, University College London Hospitals, London, UK
| | - Javier Herrero
- Bill Lyons Informatics Centre, University College London Cancer Institute, London, UK
| | - Sergio A Quezada
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Immune Regulation and Tumour Immunotherapy Group, Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Karl S Peggs
- Department of Haematology, University College London Hospitals, London, UK
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Roland F Schwarz
- Institute for Computational Cancer Biology, Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany
| | - Peter Van Loo
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Daniël M Miedema
- LEXOR, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam and Amsterdam Gastroenterology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Nicolai J Birkbak
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Crispin T Hiley
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Allan Hackshaw
- Cancer Research UK and UCL Cancer Trials Centre, London, UK
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK.
- Department of Oncology, University College London Hospitals, London, UK.
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Department of Oncology, University College London Hospitals, London, UK.
| |
Collapse
|
9
|
Al Bakir M, Huebner A, Martínez-Ruiz C, Grigoriadis K, Watkins TBK, Pich O, Moore DA, Veeriah S, Ward S, Laycock J, Johnson D, Rowan A, Razaq M, Akther M, Naceur-Lombardelli C, Prymas P, Toncheva A, Hessey S, Dietzen M, Colliver E, Frankell AM, Bunkum A, Lim EL, Karasaki T, Abbosh C, Hiley CT, Hill MS, Cook DE, Wilson GA, Salgado R, Nye E, Stone RK, Fennell DA, Price G, Kerr KM, Naidu B, Middleton G, Summers Y, Lindsay CR, Blackhall FH, Cave J, Blyth KG, Nair A, Ahmed A, Taylor MN, Procter AJ, Falzon M, Lawrence D, Navani N, Thakrar RM, Janes SM, Papadatos-Pastos D, Forster MD, Lee SM, Ahmad T, Quezada SA, Peggs KS, Van Loo P, Dive C, Hackshaw A, Birkbak NJ, Zaccaria S, Jamal-Hanjani M, McGranahan N, Swanton C. The evolution of non-small cell lung cancer metastases in TRACERx. Nature 2023; 616:534-542. [PMID: 37046095 PMCID: PMC10115651 DOI: 10.1038/s41586-023-05729-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [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: 10/21/2021] [Accepted: 01/12/2023] [Indexed: 04/14/2023]
Abstract
Metastatic disease is responsible for the majority of cancer-related deaths1. We report the longitudinal evolutionary analysis of 126 non-small cell lung cancer (NSCLC) tumours from 421 prospectively recruited patients in TRACERx who developed metastatic disease, compared with a control cohort of 144 non-metastatic tumours. In 25% of cases, metastases diverged early, before the last clonal sweep in the primary tumour, and early divergence was enriched for patients who were smokers at the time of initial diagnosis. Simulations suggested that early metastatic divergence more frequently occurred at smaller tumour diameters (less than 8 mm). Single-region primary tumour sampling resulted in 83% of late divergence cases being misclassified as early, highlighting the importance of extensive primary tumour sampling. Polyclonal dissemination, which was associated with extrathoracic disease recurrence, was found in 32% of cases. Primary lymph node disease contributed to metastatic relapse in less than 20% of cases, representing a hallmark of metastatic potential rather than a route to subsequent recurrences/disease progression. Metastasis-seeding subclones exhibited subclonal expansions within primary tumours, probably reflecting positive selection. Our findings highlight the importance of selection in metastatic clone evolution within untreated primary tumours, the distinction between monoclonal versus polyclonal seeding in dictating site of recurrence, the limitations of current radiological screening approaches for early diverging tumours and the need to develop strategies to target metastasis-seeding subclones before relapse.
Collapse
Affiliation(s)
- Maise Al Bakir
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Ariana Huebner
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Carlos Martínez-Ruiz
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Kristiana Grigoriadis
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Thomas B K Watkins
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Oriol Pich
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - David A Moore
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Cellular Pathology, University College London Hospitals, London, UK
| | - Selvaraju Veeriah
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Sophia Ward
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Joanne Laycock
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Diana Johnson
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Andrew Rowan
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Maryam Razaq
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Mita Akther
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | | | - Paulina Prymas
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Antonia Toncheva
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Sonya Hessey
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Michelle Dietzen
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Emma Colliver
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Alexander M Frankell
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Abigail Bunkum
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Emilia L Lim
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Takahiro Karasaki
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
| | - Christopher Abbosh
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Crispin T Hiley
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Mark S Hill
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Daniel E Cook
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Gareth A Wilson
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Roberto Salgado
- Department of Pathology, ZAS Hospitals, Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Emma Nye
- Experimental Histopathology, The Francis Crick Institute, London, UK
| | | | - Dean A Fennell
- University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Gillian Price
- Department of Medical Oncology, Aberdeen Royal Infirmary NHS Grampian, Aberdeen, UK
- University of Aberdeen, Aberdeen, UK
| | - Keith M Kerr
- University of Aberdeen, Aberdeen, UK
- Department of Pathology, Aberdeen Royal Infirmary NHS Grampian, Aberdeen, UK
| | - Babu Naidu
- Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Gary Middleton
- University Hospital Birmingham NHS Foundation Trust, Birmingham, UK
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Yvonne Summers
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Colin R Lindsay
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Fiona H Blackhall
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Judith Cave
- Department of Oncology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Kevin G Blyth
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
- Cancer Research UK Beatson Institute, Glasgow, UK
- Queen Elizabeth University Hospital, Glasgow, UK
| | - Arjun Nair
- Department of Radiology, University College London Hospitals, London, UK
- UCL Respiratory, Department of Medicine, University College London, London, UK
| | - Asia Ahmed
- Department of Radiology, University College London Hospitals, London, UK
| | - Magali N Taylor
- Department of Radiology, University College London Hospitals, London, UK
| | | | - Mary Falzon
- Department of Cellular Pathology, University College London Hospitals, London, UK
| | - David Lawrence
- Department of Thoracic Surgery, University College London Hospital NHS Trust, London, UK
| | - Neal Navani
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
- Department of Thoracic Medicine, University College London Hospitals, London, UK
| | - Ricky M Thakrar
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
- Department of Thoracic Medicine, University College London Hospitals, London, UK
| | - Sam M Janes
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | | | - Martin D Forster
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Siow Ming Lee
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Tanya Ahmad
- Department of Oncology, University College London Hospitals, London, UK
| | - Sergio A Quezada
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Immune Regulation and Tumour Immunotherapy Group, Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Karl S Peggs
- Department of Haematology, University College London Hospitals, London, UK
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Peter Van Loo
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Caroline Dive
- Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University of Manchester, Manchester, UK
| | - Allan Hackshaw
- Cancer Research UK & UCL Cancer Trials Centre, London, UK
| | - Nicolai J Birkbak
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK.
- Department of Oncology, University College London Hospitals, London, UK.
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
- Department of Oncology, University College London Hospitals, London, UK.
| |
Collapse
|
10
|
Price G, Devaney S, French DP, Holley R, Holm S, Kontopantelis E, McWilliam A, Payne K, Proudlove N, Sanders C, Willans R, van Staa T, Hamrang L, Turner B, Parsons S, Faivre-Finn C. Can Real-world Data and Rapid Learning Drive Improvements in Lung Cancer Survival? The RAPID-RT Study. Clin Oncol (R Coll Radiol) 2022; 34:407-410. [PMID: 35000827 DOI: 10.1016/j.clon.2021.12.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 11/29/2021] [Accepted: 12/21/2021] [Indexed: 11/25/2022]
Affiliation(s)
- G Price
- The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, The University of Manchester, The Christie NHS Foundation Trust, Manchester, UK.
| | - S Devaney
- Centre for Social Ethics and Policy, The University of Manchester, Manchester, UK
| | - D P French
- Manchester Centre of Health Psychology, The University of Manchester, Manchester, UK
| | - R Holley
- Division of Cancer Sciences, The University of Manchester, The Christie NHS Foundation Trust, Manchester, UK
| | - S Holm
- Centre for Social Ethics and Policy, The University of Manchester, Manchester, UK
| | - E Kontopantelis
- Centre for Health Services Research, Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, UK
| | - A McWilliam
- The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, The University of Manchester, The Christie NHS Foundation Trust, Manchester, UK
| | - K Payne
- Manchester Centre for Health Economics, Health Sciences Research Group, The University of Manchester, Manchester, UK
| | - N Proudlove
- Alliance Manchester Business School, The University of Manchester, Manchester, UK
| | - C Sanders
- NIHR Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK
| | - R Willans
- Data Analytics Unit, National Institute for Health and Care Excellence, Manchester, UK
| | - T van Staa
- Centre for Health Informatics & Health Data Research UK North, Division of Informatics, Imaging and Data Science, School of Health Sciences, The University of Manchester, Manchester, UK
| | - L Hamrang
- RAPID-RT PPI Advisory Group, Manchester, UK
| | - B Turner
- RAPID-RT PPI Advisory Group, Manchester, UK
| | | | - C Faivre-Finn
- The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, The University of Manchester, The Christie NHS Foundation Trust, Manchester, UK
| |
Collapse
|
11
|
Gaito S, Hwang E, France A, Whitfield G, Pan S, Price G, Aznar M, Crellin A, Indelicato D, Smith E. MO-0883 Proton Beam Therapy for Central Nervous System tumours: outcomes from the Proton Overseas Programme. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02449-5] [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: 10/18/2022]
|
12
|
Hansen C, Field M, Price G, Sarup N, Zukauskaite R, Johansen J, Eriksen J, Aly F, McPartlin A, Holloway L, Thwaites D, Brink C. OC-0754 TRIPOD level-4 validation for a larynx cancer survival model using distributed learning. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02660-3] [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: 11/30/2022]
|
13
|
Salem A, Abravan A, Sandhu L, Faivre-Finn C, Abutaleb M, Crockett C, Price G. PD-0671 Impact of FDG PET in small-cell lung cancer patients treated with curative intent chemoradiotherapy. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02918-8] [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: 10/18/2022]
|
14
|
Thiong'o C, McWilliam A, Price G, Davey A, Green A. PO-1781 Radiomic features are minimally repeatable in test-retest MR images of cervical cancer. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03745-8] [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: 10/18/2022]
|
15
|
Price G. SP-0981 How to design clinical trials which assess the advantage of new technologies. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)04088-9] [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: 11/30/2022]
|
16
|
Ware J, Boughton CK, Allen JM, Wilinska ME, Tauschmann M, Denvir L, Thankamony A, Campbell FM, Wadwa RP, Buckingham BA, Davis N, DiMeglio LA, Mauras N, Besser REJ, Ghatak A, Weinzimer SA, Hood KK, Fox DS, Kanapka L, Kollman C, Sibayan J, Beck RW, Hovorka R, Hovorka R, Acerini CL, Thankamony A, Allen JM, Boughton CK, Dovc K, Dunger DB, Ware J, Musolino G, Tauschmann M, Wilinska ME, Hayes JF, Hartnell S, Slegtenhorst S, Ruan Y, Haydock M, Mangat J, Denvir L, Kanthagnany SK, Law J, Randell T, Sachdev P, Saxton M, Coupe A, Stafford S, Ball A, Keeton R, Cresswell R, Crate L, Cripps H, Fazackerley H, Looby L, Navarra H, Saddington C, Smith V, Verhoeven V, Bratt S, Khan N, Moyes L, Sandhu K, West C, Wadwa RP, Alonso G, Forlenza G, Slover R, Towers L, Berget C, Coakley A, Escobar E, Jost E, Lange S, Messer L, Thivener K, Campbell FM, Yong J, Metcalfe E, Allen M, Ambler S, Waheed S, Exall J, Tulip J, Buckingham BA, Ekhlaspour L, Maahs D, Norlander L, Jacobson T, Twon M, Weir C, Leverenz B, Keller J, Davis N, Kumaran A, Trevelyan N, Dewar H, Price G, Crouch G, Ensom R, Haskell L, Lueddeke LM, Mauras N, Benson M, Bird K, Englert K, Permuy J, Ponthieux K, Marrero-Hernandez J, DiMeglio LA, Ismail H, Jolivette H, Sanchez J, Woerner S, Kirchner M, Mullen M, Tebbe M, Besser REJ, Basu S, London R, Makaya T, Ryan F, Megson C, Bowen-Morris J, Haest J, Law R, Stamford I, Ghatak A, Deakin M, Phelan K, Thornborough K, Shakeshaft J, Weinzimer SA, Cengiz E, Sherr JL, Van Name M, Weyman K, Carria L, Steffen A, Zgorski M, Sibayan J, Beck RW, Borgman S, Davis J, Rusnak J, Hellman A, Cheng P, Kanapka L, Kollman C, McCarthy C, Chalasani S, Hood KK, Hanes S, Viana J, Lanning M, Fox DS, Arreaza-Rubin G, Eggerman T, Green N, Janicek R, Gabrielson D, Belle SH, Castle J, Green J, Legault L, Willi SM, Wysham C. Cambridge hybrid closed-loop algorithm in children and adolescents with type 1 diabetes: a multicentre 6-month randomised controlled trial. Lancet Digit Health 2022; 4:e245-e255. [PMID: 35272971 DOI: 10.1016/s2589-7500(22)00020-6] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 12/10/2021] [Accepted: 01/25/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Closed-loop insulin delivery systems have the potential to address suboptimal glucose control in children and adolescents with type 1 diabetes. We compared safety and efficacy of the Cambridge hybrid closed-loop algorithm with usual care over 6 months in this population. METHODS In a multicentre, multinational, parallel randomised controlled trial, participants aged 6-18 years using insulin pump therapy were recruited at seven UK and five US paediatric diabetes centres. Key inclusion criteria were diagnosis of type 1 diabetes for at least 12 months, insulin pump therapy for at least 3 months, and screening HbA1c levels between 53 and 86 mmol/mol (7·0-10·0%). Using block randomisation and central randomisation software, we randomly assigned participants to either closed-loop insulin delivery (closed-loop group) or to usual care with insulin pump therapy (control group) for 6 months. Randomisation was stratified at each centre by local baseline HbA1c. The Cambridge closed-loop algorithm running on a smartphone was used with either (1) a modified Medtronic 640G pump, Medtronic Guardian 3 sensor, and Medtronic prototype phone enclosure (FlorenceM configuration), or (2) a Sooil Dana RS pump and Dexcom G6 sensor (CamAPS FX configuration). The primary endpoint was change in HbA1c at 6 months combining data from both configurations. The primary analysis was done in all randomised patients (intention to treat). Trial registration ClinicalTrials.gov, NCT02925299. FINDINGS Of 147 people initially screened, 133 participants (mean age 13·0 years [SD 2·8]; 57% female, 43% male) were randomly assigned to either the closed-loop group (n=65) or the control group (n=68). Mean baseline HbA1c was 8·2% (SD 0·7) in the closed-loop group and 8·3% (0·7) in the control group. At 6 months, HbA1c was lower in the closed-loop group than in the control group (between-group difference -3·5 mmol/mol (95% CI -6·5 to -0·5 [-0·32 percentage points, -0·59 to -0·04]; p=0·023). Closed-loop usage was low with FlorenceM due to failing phone enclosures (median 40% [IQR 26-53]), but consistently high with CamAPS FX (93% [88-96]), impacting efficacy. A total of 155 adverse events occurred after randomisation (67 in the closed-loop group, 88 in the control group), including seven severe hypoglycaemia events (four in the closed-loop group, three in the control group), two diabetic ketoacidosis events (both in the closed-loop group), and two non-treatment-related serious adverse events. There were 23 reportable hyperglycaemia events (11 in the closed-loop group, 12 in the control group), which did not meet criteria for diabetic ketoacidosis. INTERPRETATION The Cambridge hybrid closed-loop algorithm had an acceptable safety profile, and improved glycaemic control in children and adolescents with type 1 diabetes. To ensure optimal efficacy of the closed-loop system, usage needs to be consistently high, as demonstrated with CamAPS FX. FUNDING National Institute of Diabetes and Digestive and Kidney Diseases.
Collapse
|
17
|
Nicholas O, Kirby S, Foyle S, Price G, Capreros E, Pudney D, Pritchard A, Breeze-Jones L, Philips B, Banner R. Optimising the Single Fraction (1#) Radiotherapy (RT) Pathway for Metastatic Spinal Cord Compression (MSCC). Clin Oncol (R Coll Radiol) 2022. [DOI: 10.1016/j.clon.2022.01.028] [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: 11/03/2022]
|
18
|
Abravan A, Salem A, Price G, Faivre-Finn C, van Herk M. Effect of systemic inflammation biomarkers on overall survival after lung cancer radiotherapy: a single-center large-cohort study. Acta Oncol 2022; 61:163-171. [PMID: 34979860 DOI: 10.1080/0284186x.2021.2022201] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [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: 06/27/2021] [Accepted: 10/18/2021] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Recent studies suggest that immune-related cells can be recruited for anti-tumor functions as well as tumor progression and the interplay between systemic inflammation and local immune response may play a major role in the development and progression of various cancers including lung cancer. Inflammatory markers, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) can be used as surrogate biomarkers of host immune status. In this work, associations between neutrophils, lymphocytes, platelets, NLR, PLR, SII and overall survival (OS) are investigated in two cohorts of non-small cell lung cancer (NSCLC) patients treated with fractionated radiotherapy (RT) and stereotactic body radiation therapy (SBRT) and a cohort of small cell lung cancer (SCLC) patients treated with fractionated RT. MATERIAL AND METHODS Data from 2513 lung cancer patients were retrospectively analyzed. Baseline NLR, PLR, and SII (NLR × platelet count) were calculated from full blood test prior to RT initiation. Cox proportional hazards regression analyses were used to evaluate the association between systemic inflammation markers and known clinical factors with OS. RESULTS The two-year OS was 42%, 63%, and 62% in the NSCLC fractionated RT, SBRT, and SCLC cohort. NLR (per 1 unit: hazard ratio [HR]: 1.04, p < 0.05) and SII (per 100 × 109/L: HR: 1.01, p < 0.05) remained the strongest independent factors of OS in multivariable Cox analyses, correcting for clinical factors in early-stage and locally advanced NSCLC and SCLC patients treated with RT. DISCUSSION This single-center large-cohort study suggests that baseline NLR and SII are independent prognostic biomarkers associated with OS in locally advanced and early-stage NSCLC patients treated with either curative-intent fractionated RT or SBRT and SCLC patients treated with curative-intent fractionated RT. External validation is warranted to evaluate the utility of these biomarkers for patients' stratification and adapting new treatment approaches.
Collapse
Affiliation(s)
- A Abravan
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK
| | - A Salem
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK
| | - G Price
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK
| | - C Faivre-Finn
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK
| | - M van Herk
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
- Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK
| |
Collapse
|
19
|
Craddock M, Crockett C, McWilliam A, Price G, Sperrin M, van der Veer SN, Faivre-Finn C. Evaluation of Prognostic and Predictive Models in the Oncology Clinic. Clin Oncol (R Coll Radiol) 2022; 34:102-113. [PMID: 34922799 DOI: 10.1016/j.clon.2021.11.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 09/03/2021] [Revised: 11/19/2021] [Accepted: 11/25/2021] [Indexed: 12/13/2022]
Abstract
Predictive and prognostic models hold great potential to support clinical decision making in oncology and could ultimately facilitate a paradigm shift to a more personalised form of treatment. While a large number of models relevant to the field of oncology have been developed, few have been translated into clinical use and assessment of clinical utility is not currently considered a routine part of model development. In this narrative review of the clinical evaluation of prediction models in oncology, we propose a high-level process diagram for the life cycle of a clinical model, encompassing model commissioning, clinical implementation and ongoing quality assurance, which aims to bridge the gap between model development and clinical implementation.
Collapse
Affiliation(s)
- M Craddock
- University of Manchester, Radiotherapy Related Research Group, Division of Cancer Sciences, School of Medical Sciences, Manchester, UK.
| | - C Crockett
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK
| | - A McWilliam
- University of Manchester, Radiotherapy Related Research Group, Division of Cancer Sciences, School of Medical Sciences, Manchester, UK
| | - G Price
- University of Manchester, Radiotherapy Related Research Group, Division of Cancer Sciences, School of Medical Sciences, Manchester, UK
| | - M Sperrin
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - S N van der Veer
- Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - C Faivre-Finn
- University of Manchester, Radiotherapy Related Research Group, Division of Cancer Sciences, School of Medical Sciences, Manchester, UK; Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK
| |
Collapse
|
20
|
Clough A, Sanders J, Banfill K, Faivre-Finn C, Price G, Eccles CL, Aznar MC, Van Herk M. A novel use for routine CBCT imaging during radiotherapy to detect COVID-19. Radiography (Lond) 2022; 28:17-23. [PMID: 34332857 PMCID: PMC8299223 DOI: 10.1016/j.radi.2021.07.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 03/02/2021] [Revised: 06/21/2021] [Accepted: 07/11/2021] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Thoracic CT is a useful tool in the early diagnosis of patients with COVID-19. Typical appearances include patchy ground glass shadowing. Thoracic radiotherapy uses daily cone beam CT imaging (CBCT) to check for changes in patient positioning and anatomy prior to treatment through a qualitative assessment of lung appearance by radiographers. Observation of changes related to COVID-19 infection during this process may facilitate earlier testing improving patient management and staff protection. METHODS A tool was developed to create overview reports for all CBCTs for each patient throughout their treatment. Reports contain coronal maximum intensity projection (MIP's) of all CBCTs and plots of lung density over time. A single therapeutic radiographer undertook a blinded off-line audit that reviewed 150 patient datasets for tool optimisation in which medical notes were compared to image findings. This cohort included 75 patients treated during the pandemic and 75 patients treated between 2014 and 2017. The process was repeated retrospectively on a subset of the 285 thoracic radiotherapy patients treated between January-June 2020 to assess the efficiency of the tool and process. RESULTS Three patients in the n = 150 optimisation cohort had confirmed COVID-19 infections during their radiotherapy. Two of these were detected by the reported image assessment process. The third case was not detected on CBCT due to minimal density changes in the visible part of the lungs. Within the retrospective cohort four patients had confirmed COVID-19 based on RT-PCR tests, three of which were retrospectively detected by the reported process. CONCLUSION The preliminary results indicate that the presence of COVID-19 can be detected on CBCT by therapeutic radiographers. IMPLICATIONS FOR PRACTICE This process has now been extended to clinical service with daily assessments of all thoracic CBCTs. Changes noted are referred for oncologist review.
Collapse
Affiliation(s)
- A Clough
- The Christie NHSFT, Manchester, United Kingdom.
| | - J Sanders
- The Christie NHSFT, Manchester, United Kingdom
| | - K Banfill
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - C Faivre-Finn
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - G Price
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - C L Eccles
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - M C Aznar
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - M Van Herk
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| |
Collapse
|
21
|
Price G, Udeh-Momoh C, Kivipelto M, Middleton LT. Editorial: Dementia Prevention: A Global Challenge in Urgent Need of Solutions. J Prev Alzheimers Dis 2022; 9:1-2. [PMID: 35098967 DOI: 10.14283/jpad.2022.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- G Price
- Prof. Lefkos Middleton, Ageing Epidemiology Research Unit, School of Public Health, Faculty of Medicine, Imperial College London, London W6 8RP, UK. E-mail: ; Tel: +44 20 3311 0216; Fax: +44 20 3311 0216
| | | | | | | |
Collapse
|
22
|
Zheng B, Su B, Udeh-Momoh C, Price G, Tzoulaki I, Vamos EP, Majeed A, Riboli E, Ahmadi-Abhari S, Middleton LT. Associations of Cardiovascular and Non-Cardiovascular Comorbidities with Dementia Risk in Patients with Diabetes: Results from a Large UK Cohort Study. J Prev Alzheimers Dis 2022; 9:86-91. [PMID: 35098977 DOI: 10.14283/jpad.2022.8] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND Type 2 diabetes (T2D) is an established risk factor for dementia. However, it remains unclear whether the presence of comorbidities could further increase dementia risk in diabetes patients. OBJECTIVES To examine the associations between cardiovascular and non-cardiovascular comorbidities and dementia risk in T2D patients. DESIGN Population-based cohort study. SETTING The UK Clinical Practice Research Datalink (CPRD). PARTICIPANTS 489,205 T2D patients aged over 50 years in the UK CPRD. MEASUREMENTS Major cardiovascular and non-cardiovascular comorbidities were extracted as time-varying exposure variables. The outcome event was dementia incidence based on dementia diagnosis or dementia-specific drug prescription. RESULTS During a median of six years follow-up, 33,773 (6.9%) incident dementia cases were observed. Time-varying Cox regressions showed T2D patients with stroke, peripheral vascular disease, atrial fibrillation, heart failure or hypertension were at higher risk of dementia compared to those without such comorbidities (HR [95% CI] = 1.64 [1.59-1.68], 1.37 [1.34-1.41], 1.26 [1.22-1.30], 1.15 [1.11-1.20] or 1.10 [1.03-1.18], respectively). Presence of chronic obstructive pulmonary disease or chronic kidney disease was also associated with increased dementia risk (HR [95% CI] = 1.05 [1.01-1.10] or 1.11 [1.07-1.14]). CONCLUSIONS A range of cardiovascular and non-cardiovascular comorbidities were associated with further increases of dementia risk in T2D patients. Prevention and effective management of these comorbidities may play a significant role in maintaining cognitive health in T2D patients.
Collapse
Affiliation(s)
- B Zheng
- Prof. Lefkos Middleton, Ageing Epidemiology Research Unit, School of Public Health, Faculty of Medicine, Imperial College London, London W6 8RP, UK. E-mail: ; Tel: +44 20 3311 0216; Fax: +44 20 3311 0216
| | | | | | | | | | | | | | | | | | | |
Collapse
|
23
|
Banfill K, Croxford W, Fornacon-Wood I, Wicks K, Ahmad S, Britten A, Carson C, Dorey N, Hatton M, Hiley C, Thippu Jayaprakash K, Jegannathen A, Koh P, Panakis N, Peedell C, Pope A, Powell C, Stilwell C, Thomas B, Toy E, Wood V, Yahya S, Zhou SY, Price G, Faivre-Finn C. Changes in the Management of Patients having Radical Radiotherapy for Lung Cancer during the First Wave of the COVID-19 Pandemic in the UK. Clin Oncol (R Coll Radiol) 2022; 34:19-27. [PMID: 34763964 PMCID: PMC8552552 DOI: 10.1016/j.clon.2021.10.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 07/16/2021] [Revised: 09/15/2021] [Accepted: 10/18/2021] [Indexed: 12/12/2022]
Abstract
AIMS In response to the COVID-19 pandemic, guidelines on reduced fractionation for patients treated with curative-intent radiotherapy were published, aimed at reducing the number of hospital attendances and potential exposure of vulnerable patients to minimise the risk of COVID-19 infection. We describe the changes that took place in the management of patients with stage I-III lung cancer from April to October 2020. MATERIALS AND METHODS Lung Radiotherapy during the COVID-19 Pandemic (COVID-RT Lung) is a prospective multicentre UK cohort study. The inclusion criteria were: patients with stage I-III lung cancer referred for and/or treated with radical radiotherapy between 2nd April and 2nd October 2020. Patients who had had a change in their management and those who continued with standard management were included. Data on demographics, COVID-19 diagnosis, diagnostic work-up, radiotherapy and systemic treatment were collected and reported as counts and percentages. Patient characteristics associated with a change in treatment were analysed using multivariable binary logistic regression. RESULTS In total, 1553 patients were included (median age 72 years, 49% female); 93 (12%) had a change to their diagnostic investigation and 528 (34%) had a change to their treatment from their centre's standard of care as a result of the COVID-19 pandemic. Age ≥70 years, male gender and stage III disease were associated with a change in treatment on multivariable analysis. Patients who had their treatment changed had a median of 15 fractions of radiotherapy compared with a median of 20 fractions in those who did not have their treatment changed. Low rates of COVID-19 infection were seen during or after radiotherapy, with only 21 patients (1.4%) developing the disease. CONCLUSIONS The COVID-19 pandemic resulted in changes to patient treatment in line with national recommendations. The main change was an increase in hypofractionation. Further work is ongoing to analyse the impact of these changes on patient outcomes.
Collapse
Affiliation(s)
- K Banfill
- The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK.
| | - W Croxford
- The Christie NHS Foundation Trust, Manchester, UK
| | | | - K Wicks
- The University of Manchester, Manchester, UK
| | - S Ahmad
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - A Britten
- Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
| | - C Carson
- The Northern Ireland Cancer Centre, Belfast, UK
| | - N Dorey
- Torbay and South Devon NHS Foundation Trust, Torquay, UK
| | - M Hatton
- Weston Park Hospital, Sheffield, UK
| | - C Hiley
- University College London Hospitals, London, UK
| | - K Thippu Jayaprakash
- Oncology Centre, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - A Jegannathen
- University Hospitals North Midlands, Stoke-on-Trent, UK
| | - P Koh
- Royal Wolverhampton NHS Trust, Wolverhampton, UK
| | - N Panakis
- Oxford Universities NHS Trust, Oxford, UK
| | - C Peedell
- The James Cook University Hospital, Middlesbrough, UK
| | - A Pope
- Clatterbridge Cancer Centre, Bebington, UK
| | - C Powell
- Velindre Cancer Centre, Cardiff, UK
| | | | - B Thomas
- Swansea Bay University Hospital, Swansea, UK
| | - E Toy
- Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - V Wood
- University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - S Yahya
- University Hospitals Birmingham, Birmingham, UK
| | - S Y Zhou
- Beatson West of Scotland Cancer Centre, Glasgow, UK
| | - G Price
- The University of Manchester, Manchester, UK
| | - C Faivre-Finn
- The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK
| |
Collapse
|
24
|
Brown S, Beasley M, Aznar MC, Belderbos J, Chuter R, Cobben D, Faivre-Finn C, Franks K, Henry A, Murray L, Price G, van Herk M. The Impact of Intra-thoracic Anatomical Changes upon the Delivery of Lung Stereotactic Ablative Radiotherapy. Clin Oncol (R Coll Radiol) 2021; 33:e413-e421. [PMID: 34001380 DOI: 10.1016/j.clon.2021.04.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 01/23/2021] [Revised: 03/29/2021] [Accepted: 04/21/2021] [Indexed: 12/25/2022]
Abstract
AIMS So far, the impact of intra-thoracic anatomical changes (ITACs) on patients treated with stereotactic ablative radiotherapy (SABR) for early-stage non-small cell lung cancer is unknown. Studying these is important, as ITACs have the potential to impact the workflow and reduce treatment quality. The aim of this study was to assess and categorise ITACs, as detected on cone beam computed tomography scans (CBCT), and their subsequent impact upon treatment in lung cancer patients treated with SABR. MATERIALS AND METHODS CBCTs from 100 patients treated with SABR for early non-small cell lung cancer were retrospectively reviewed. The presence of the following ITACs was assessed: atelectasis, infiltrative change, pleural effusion, baseline shift and gross tumour volume (GTV) increase and decrease. ITACs were graded using a traffic light protocol. This was adapted from a tool previously developed to assesses potential target undercoverage or organ at risk overdose. The frequency of physics or clinician review was noted. A linear mixed effects model was used to assess the relationship between ITAC grade and set-up time (time from first CBCT to beam delivery). RESULTS ITACs were observed in 22% of patients. Twenty-one per cent of these were categorised as 'red', implying a risk of underdosage to the GTV. Most were 'yellow' (51%), indicating little impact upon planning target volume coverage of the GTV. Physics or clinician review was required in 10% of all treatment fractions overall. Three patients needed their treatment replanned. The mixed effect model analysis showed that ITACs cause a significant prolongation of set-up time (Χ2(3) = 9.22, P = 0.02). CONCLUSION Most ITACs were minor, but associated with unplanned physics or clinician review, representing a potentially significant resource burden. ITACs also had a significant impact upon set-up time, with consequences for the wider workflow and intra-fraction motion. Detailed guidance on the management of ITACs is needed to provide support for therapeutic radiographers delivering lung SABR.
Collapse
Affiliation(s)
- S Brown
- Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK; Gloucestershire Oncology Centre, Gloucestershire Hospitals NHS Foundation Trust, Cheltenham, UK.
| | - M Beasley
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - M C Aznar
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - J Belderbos
- Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - R Chuter
- Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - D Cobben
- Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - C Faivre-Finn
- Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - K Franks
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - A Henry
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK; Leeds Institute of Medical Research, University of Leeds, Leeds, UK
| | - L Murray
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK; Leeds Institute of Medical Research, University of Leeds, Leeds, UK
| | - G Price
- Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - M van Herk
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| |
Collapse
|
25
|
Davie A, Cuyun Carter G, Rider A, Bailey A, Lewis K, Price G, Ostojic H, Ringeisen F, Pivot X. Real-world clinical profile, treatment patterns and patient-reported outcomes in a subset of HR+/HER2- advanced breast cancer patients with poor prognostic factors: data from an international study. ESMO Open 2021; 6:100226. [PMID: 34371379 PMCID: PMC8358418 DOI: 10.1016/j.esmoop.2021.100226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/02/2021] [Accepted: 07/06/2021] [Indexed: 11/15/2022] Open
Abstract
Background Patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2−) advanced breast cancer (ABC) and disease-related poor prognostic factors are not well characterized. We aimed to describe patient demographics, disease characteristics, treatment patterns and patient-reported outcomes in a subset of HR+/HER2− ABC patients with these factors [at the time when cyclin-dependent kinase (CDK) 4 and 6 inhibitors were being introduced] and understand how these factors informed treatment decisions at the time of the survey. Methods Real-world data were derived from a large, multinational, point-in-time survey of oncologists and their consulting patients with HR+/HER2− ABC in the EU5 and USA over March-June 2017, at the start of the changing treatment landscape. Analysis focused on four poor prognostic factors: visceral metastases, liver metastases (subset of visceral metastases), progesterone receptor-negative status and high tumor grade. Results In total, 2259 patients with HR+/HER2− ABC had records eligible for this analysis. At least one poor prognostic factor was present in 63% of patients (most common visceral metastases; least common progesterone receptor-negative status), with varying degrees of overlap between factors. For physician-reported outcomes, pain increased, whereas performance status and activities of daily living declined with presence of poor prognostic factors, especially liver metastases. No clear trends were observed for patient-reported outcomes. Treatment with combined endocrine therapy plus CDK4 and 6 inhibitors was infrequent, as these agents were entering the market. Conclusions More than 60% of the HR+/HER2− ABC Adelphi Real World Disease Specific Programme™ sample had ≥1 disease-related poor prognostic factor, and patients appeared to be heterogeneous regarding occurrence and distribution of these factors. These patients typically have increased pain and reduced performance status, highlighting the importance of implementing effective therapy with CDK4 and 6 inhibitors. Future studies could inform how the treatment landscape has evolved over time with respect to patients with poor prognostic factors. Some 63% of HR+/HER2− ABC patients in this sample had ≥1 disease-related factors more likely to confer a poorer prognosis Patients with these factors typically had increased pain and reduced performance status Chemotherapy was prescribed more frequently in patients with poor prognostic factors Introduction of CDK4 and 6 inhibitors saw more patients with poor prognostic factors receive endocrine therapy-based regimens This study is a baseline to understand the impact of these new treatments on prognosis and aggressive disease
Collapse
Affiliation(s)
- A Davie
- Eli Lilly and Co. Ltd, Windlesham, UK
| | | | - A Rider
- Adelphi Real World, Bollington, Macclesfield, UK
| | - A Bailey
- Adelphi Real World, Bollington, Macclesfield, UK
| | - K Lewis
- Adelphi Real World, Bollington, Macclesfield, UK.
| | - G Price
- Eli Lilly and Co, Indianapolis, USA
| | | | | | - X Pivot
- Paul Strauss Cancer Center, Strasbourg, France
| |
Collapse
|
26
|
McWilliam A, Abravan A, Banfill K, Price G, Faivre-Finn C, van Herk M. PH-0275 Estimating the casual effect of reducing dose to cardiac structures in lung cancer radiotherapy. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07290-x] [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: 10/20/2022]
|
27
|
Price J, Fornacon-Wood I, Thomson D, Lee L, Sykes A, Garcez K, Price G, McPartlin A. PO-1001 The effect of switching to carboplatin chemo-RT for cycle 2 in cisplatin-ineligible HNSCC patients. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07452-1] [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: 10/20/2022]
|
28
|
Fornacon-Wood I, Mistry H, Johnson-Hart C, O’Connor J, Faivre-Finn C, Price G. PD-0776 A Bayesian approach to evaluate the impact of change in IGRT protocol using real world data. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07055-9] [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: 11/30/2022]
|
29
|
Craddock M, Nestle U, Schimek-Jasch T, Kremp S, Lenz S, Price G, Salem A, Faivre-Finn C, van Herk M, McWilliam A. OC-0190 Validation of the impact of heart base dose on survival in NSCLC patients from the PET-Plan Trial. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)06805-5] [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: 11/29/2022]
|
30
|
croxford W, Banfill K, Fornacon-Wood I, Britten A, Carson C, Hatton M, Thippu Jayaprakash K, Jegannathen A, Keng Koh P, Panakis N, Peedell C, Pope A, Powell C, Stilwell C, Thomas B, Wood V, Yun Zhou S, Price G, Faivre-Finn C. PO-1198 Changes in radical radiotherapy for lung cancer patients in the UK during the COVID-19 pandemic. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07649-0] [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: 10/20/2022]
|
31
|
Sage J, Looney P, Chuter R, Price G, Boukerroui D, Balfour D, Whitehurst P, Gooding M. PO-1676 Validating CBCT to CT registration QC using an AI generated dataset. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)08127-5] [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: 10/20/2022]
|
32
|
Atkin C, Crosby B, Dunn K, Price G, Marston E, Crawford C, O’Hara M, Morgan C, Levermore M, Gallier S, Modhwadia S, Attwood J, Perks S, Denniston AK, Gkoutos G, Dormer R, Rosser A, Ignatowicz A, Fanning H, Sapey E. Perceptions of anonymised data use and awareness of the NHS data opt-out amongst patients, carers and healthcare staff. Res Involv Engagem 2021; 7:40. [PMID: 34127076 PMCID: PMC8201435 DOI: 10.1186/s40900-021-00281-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 05/10/2021] [Indexed: 05/29/2023]
Abstract
BACKGROUND England operates a National Data Opt-Out (NDOO) for the secondary use of confidential health data for research and planning. We hypothesised that public awareness and support for the secondary use of health data and the NDOO would vary by participant demography and healthcare experience. We explored patient/public awareness and perceptions of secondary data use, grouping potential researchers into National Health Service (NHS), academia or commercial. We assessed awareness of the NDOO system amongst patients, carers, healthcare staff and the public. We co-developed recommendations to consider when sharing unconsented health data for research. METHODS A patient and public engagement program, co-created and including patient and public workshops, questionnaires and discussion groups regarding anonymised health data use. RESULTS There were 350 participants in total. Central concerns for health data use included unauthorised data re-use, the potential for discrimination and data sharing without patient benefit. 94% of respondents were happy for their data to be used for NHS research, 85% for academic research and 68% by health companies, but less than 50% for non-healthcare companies and opinions varied with demography and participant group. Questionnaires showed that knowledge of the NDOO was low, with 32% of all respondents, 53% of all NHS staff and 29% of all patients aware of the NDOO. Recommendations to guide unconsented secondary health data use included that health data use should benefit patients; data sharing decisions should involve patients/public. That data should remain in close proximity to health services with the principles of data minimisation applied. Further, that there should be transparency in secondary health data use, including publicly available lists of projects, summaries and benefits. Finally, organisations involved in data access decisions should participate in programmes to increase knowledge of the NDOO, to ensure public members were making informed choices about their own data. CONCLUSION The majority of participants in this study reported that the use of healthcare data for secondary purposes was acceptable when accessed by NHS. Academic and health-focused companies. However, awareness was limited, including of the NDOO. Further development of publicly-agreed recommendations for secondary health data use may improve both awareness and confidence in secondary health data use.
Collapse
Affiliation(s)
- C. Atkin
- PIONEER Hub in Acute Care, Institute of Inflammation and Ageing, University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - B. Crosby
- PIONEER HDR-UK Data Hub in Acute Care, Institute of Inflammation and Ageing, University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - K. Dunn
- HDR-UK Midlands Physical Site, University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - G. Price
- Patient Involvement and Engagement Lead, PIONEER, London, UK
| | - E. Marston
- Research Support Services, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK
| | - C. Crawford
- Research and Development, University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - M. O’Hara
- University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - C. Morgan
- Public author, B15 2GW Birmingham, UK
| | - M. Levermore
- Medical Devices Technology International Limited (MDTi), The KaCe Building, Victoria Passage, Wolverhampton, West Midlands WV1 4LG UK
- Health, Education and Life Sciences, Birmingham City University, Birmingham, West Midlands UK
| | - S. Gallier
- Technical Director, PIONEER HDR-UK Data Hub in Acute Care, Institute of Inflammation and Ageing, University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - S. Modhwadia
- PIONEER HDR-UK Data Hub in Acute Care, University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - J. Attwood
- Informatics, University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - S. Perks
- Informatics, University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - A. K. Denniston
- Director of INSIGHT - the Health Data Research Hub for Eye Health, University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW UK
- Centre for Regulatory Science and Innovation, Birmingham Health Partners, Birmingham, B15 2GW UK
- NIHR Biomedical Research Centre (Moorfields Eye Hospital NHS Foundation Trust and University College London), Birmingham, UK
| | - G. Gkoutos
- Alan Turing Institute, HDR-UK Associated Researcher, Institute of Cancer and Genomic Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - R. Dormer
- Insignia Medical Systems Limited, Paterson House, Hatch Warren Lane, Basingstoke, Hampshire, RG22 4RA UK
| | - A. Rosser
- West Midlands Ambulance Service Foundation Trust, Millennium Point, Waterfront Business Park, Waterfront Way, Brierley Hill, West Midlands, DY5 1LX UK
| | - A. Ignatowicz
- Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK
| | - H. Fanning
- Research and Development, University Hospital Birmingham NHS Foundation Trust, University of Birmingham, Edgbaston, Birmingham, B15 2GW UK
| | - E. Sapey
- PIONEER, HDR-UK Health Data Research Hub in Acute Care, Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, B15 2GW UK
- Department of Acute Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2GW UK
- NIHR CRF, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2GW UK
| | | |
Collapse
|
33
|
Gohil K, Al-Himdani S, Walkden A, Price G. 387 Plastic Surgery Workload During The COVID-19 Pandemic. Br J Surg 2021. [PMCID: PMC8135708 DOI: 10.1093/bjs/znab134.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Introduction COVID-19 has been a formidable opponent to every aspect of the NHS. A comparative study examined referral workload at a regional Plastic Surgery Unit, Major Trauma Centre & Burns Facility during the initial stages of the lockdown period. Lessons learnt can then help prepare for the future. Method From initial lockdown (24/03/2020), all Plastic Surgery referrals were documented for 28 days. This data was compared to the same period in 2019. Demographics, diagnosis, mechanism of injury and time to presentation and surgery were noted. Results A total of 525 patients were managed, with a 48% reduction in referrals during lockdown. Hand trauma referrals reduced by 16% but increases in deliberate self-harm (100%), DIY injury (75%), lower limb trauma (250%) and burns (64%) were seen. Fewer work and school related injuries were managed in keeping with lockdown rules. Notably, access to surgical management did not alter. Conclusions The COVID-19 pandemic significantly affected the workload of our service. Social behaviours and psychological impact were common contributing factors. As Plastic Surgeons this should be acknowledged and consideration of optimising mental health services and health education should be prioritised for the future.
Collapse
Affiliation(s)
- K Gohil
- Derriford Hospital, Plymouth, United Kingdom
| | | | - A Walkden
- Derriford Hospital, Plymouth, United Kingdom
| | - G Price
- Derriford Hospital, Plymouth, United Kingdom
| |
Collapse
|
34
|
Hague C, McPartlin A, Lee LW, Hughes C, Mullan D, Beasley W, Green A, Price G, Whitehurst P, Slevin N, van Herk M, West C, Chuter R. An evaluation of MR based deep learning auto-contouring for planning head and neck radiotherapy. Radiother Oncol 2021; 158:112-117. [PMID: 33636229 DOI: 10.1016/j.radonc.2021.02.018] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [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: 10/15/2020] [Revised: 02/02/2021] [Accepted: 02/15/2021] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Auto contouring models help consistently define volumes and reduce clinical workload. This study aimed to evaluate the cross acquisition of a Magnetic Resonance (MR) deep learning auto contouring model for organ at risk (OAR) delineation in head and neck radiotherapy. METHODS Two auto contouring models were evaluated using deep learning contouring expert (DLCExpert) for OAR delineation: a CT model (modelCT) and an MR model (modelMRI). Models were trained to generate auto contours for the bilateral parotid glands and submandibular glands. Auto-contours for modelMRI were trained on diagnostic images and tested on 10 diagnostic, 10 MR radiotherapy planning (RTP), eight MR-Linac (MRL) scans and, by modelCT, on 10 CT planning scans. Goodness of fit scores, dice similarity coefficient (DSC) and distance to agreement (DTA) were calculated for comparison. RESULTS ModelMRI contours improved the mean DSC and DTA compared with manual contours for the bilateral parotid glands and submandibular glands on the diagnostic and RTP MRs compared with the MRL sequence. There were statistically significant differences seen for modelMRI compared to modelCT for the left parotid (mean DTA 2.3 v 2.8 mm), right parotid (mean DTA 1.9 v 2.7 mm), left submandibular gland (mean DTA 2.2 v 2.4 mm) and right submandibular gland (mean DTA 1.6 v 3.2 mm). CONCLUSION A deep learning MR auto-contouring model shows promise for OAR auto-contouring with statistically improved performance vs a CT based model. Performance is affected by the method of MR acquisition and further work is needed to improve its use with MRL images.
Collapse
Affiliation(s)
- C Hague
- Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
| | - A McPartlin
- Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
| | - L W Lee
- Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
| | - C Hughes
- Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
| | - D Mullan
- Department of Radiology, The Christie NHS Foundation Trust, Manchester, UK.
| | - W Beasley
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
| | - A Green
- Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK.
| | - G Price
- Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK.
| | - P Whitehurst
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
| | - N Slevin
- Department of Head and Neck Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK
| | - M van Herk
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK.
| | - C West
- Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK.
| | - R Chuter
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, Faculty of Biology, Medicine and Heath, University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK.
| |
Collapse
|
35
|
Banfill K, Price G, Wicks K, Britten A, Carson C, Hatton M, Jayaprakash KT, Jegannathen A, Lee C, Panakis N, Peedell C, Stilwell C, Pope T, Powell C, Wood V, Zhou S, Faivre-Finn C. 203MO Changes in management for patients with lung cancer treated with radical radiotherapy during the first wave of the COVID-19 pandemic in the UK (COVID-RT Lung). J Thorac Oncol 2021. [PMCID: PMC7997784 DOI: 10.1016/s1556-0864(21)02045-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2022]
|
36
|
Banfill K, Price G, Peedell C, Harland K, Powell C, Panakis N, Jayaprakash KT, Mokhtar D, Hatton M, Faivre-Finn C. P09.17 Changes in the Management of Patients Having Radical Radiotherapy in the UK During the COVID-19 Pandemic (COVID-RT Lung). J Thorac Oncol 2021. [PMCID: PMC7976873 DOI: 10.1016/j.jtho.2021.01.445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/29/2022]
|
37
|
Shortall J, Vasquez Osorio E, Cree A, Song Y, Dubec M, Chuter R, Price G, McWilliam A, Kirkby K, Mackay R, van Herk M. Inter- and intra-fractional stability of rectal gas in pelvic cancer patients during MRIgRT. Med Phys 2021; 48:414-426. [PMID: 33164217 DOI: 10.1002/mp.14586] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 02/19/2020] [Revised: 10/08/2020] [Accepted: 10/31/2020] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Due to the electron return effect (ERE) during magnetic resonance imaging guided radiotherapy (MRIgRT), rectal gas during pelvic treatments can result in hot spots of over-dosage in the rectal wall. Determining the clinical impact of this effect on rectal toxicity requires estimation of the amount and mobility (and stability) of rectal gas during treatment. We therefore investigated the amount of rectal gas and local inter- and intra-fractional changes of rectal gas in pelvic cancer patients. METHODS To estimate the volume of gas present at treatment planning, the rectal gas contents in the planning computed tomography (CT) scans of 124 bladder, 70 cervical and 2180 prostate cancer patients were calculated. To estimate inter- and intra-fractional variations in rectal gas, 174 and 131 T2-w MRIs for six cervical and eleven bladder cancer patients were used. These scans were acquired during four scan-sessions (~20-25 min each) at various time-points. Additionally, 258 T2-w MRIs of the first five prostate cancer patients treated using MRIgRT at our center, acquired during each fraction, were analyzed. Rectums were delineated on all scans. The area of gas within the rectum delineations was identified on each MRI slice using thresholding techniques. The area of gas on each slice of the rectum was used to calculate the inter- and intra-fractional group mean, systematic and random variations along the length of the rectum. The cumulative dose perturbation as a result of the gas was estimated. Two approaches were explored: accounting or not accounting for the gas at the start of the scan-session. RESULTS Intra-fractional variations in rectal gas are small compared to the absolute volume of rectal gas detected for all patient groups. That is, rectal gas is likely to remain stable for periods of 20-25 min. Larger volumes of gas and larger variations in gas volume were observed in bladder cancer patients compared with cervical and prostate cancer patients. For all patients, local cumulative dose perturbations per beam over an entire treatment in the order of 60 % were estimated when gas had not been accounted for in the daily adaption. The calculated dose perturbation over the whole treatment was dramatically reduced in all patients when accounting for the gas in the daily set-up image. CONCLUSION Rectal gas in pelvic cancer patients is likely to remain stable over the course of an MRIgRT fraction, and also likely to reappear in the same location in multiple fractions, and can therefore result in clinically relevant over-dosage in the rectal wall. The over-dosage is reduced when accounting for gas in the daily adaption.
Collapse
Affiliation(s)
- J Shortall
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
| | - E Vasquez Osorio
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
| | - A Cree
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - Y Song
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - M Dubec
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - R Chuter
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - G Price
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - A McWilliam
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - K Kirkby
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - R Mackay
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| | - M van Herk
- Department of Cancer Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Manchester, UK
| |
Collapse
|
38
|
Sandhu L, McWilliam A, Mistry H, Woolf D, Faivre-Finn C, Golby C, Abravan A, Van Herk M, Price G, Salem A. PH-0281: Outcomes of re-irradiation & repeat radiotherapy in NSCLC: A propensity matched analysis. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)00305-4] [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: 11/30/2022]
|
39
|
Johnson-Hart C, Price G, McWilliam A, Abravan A, Faivre-Finn C, Van Herk M. PO-0991: Impact of residual setup errors after image guidance on heart dose in NSCLC patients. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01008-2] [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: 11/25/2022]
|
40
|
Udeh-Momoh C, Price G, Ropacki MT, Ketter N, Andrews T, Arrighi HM, Brashear HR, Robb C, Bassil DT, Cohn M, Curry LK, Su B, Perera D, Giannakopoulou P, Car J, Ward HA, Perneczky R, Novak G, Middleton L. Prospective Evaluation of Cognitive Health and Related Factors in Elderly at Risk for Developing Alzheimer's Dementia: A Longitudinal Cohort Study. J Prev Alzheimers Dis 2020; 6:256-266. [PMID: 31686098 DOI: 10.14283/jpad.2019.31] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND The CHARIOT PRO Main study is a prospective, non-interventional study evaluating cognitive trajectories in participants at the preclinical stage of Alzheimer's disease (AD) classified by risk levels for developing mild cognitive impairment due to AD (MCI-AD). OBJECTIVES The study aimed to characterize factors and markers influencing cognitive and functional progression among individuals at-risk for developing MCI-AD, and examine data for more precise predictors of cognitive change, particularly in relation to APOE ε4 subgroup. DESIGN This single-site study was conducted at the Imperial College London (ICL) in the United Kingdom. Participants 60 to 85 years of age were classified as high, medium (amnestic or non-amnestic) or low risk for developing MCI-AD based on RBANS z-scores. A series of clinical outcome assessments (COAs) on factors influencing baseline cognitive changes were collected in each of the instrument categories of cognition, lifestyle exposure, mood, and sleep. Data collection was planned to occur every 6 months for 48 months, however the median follow-up time was 18.1 months due to early termination of study by the sponsor. RESULTS 987 participants were screened, among them 690 participants were actively followed-up post baseline, of whom 165 (23.9%) were APOE ε4 carriers; with at least one copy of the allele. The mean age was 68.73 years, 94.6% were white, 57.4% were female, and 34.8% had a Family History of Dementia with a somewhat larger percentage in the APOE ε4 carrier group (42.4%) compared to the non-carrier group (32.4%). Over half of the participants were married and 53% had a Bachelor's or higher degree. Most frequently, safety events typical for this population consisted of upper respiratory tract infection (10.4%), falls (5.2%), hypertension (3.5%) and back pain (3.0%). Conclusion (clinical relevance): AD-related measures collected during the CHARIOT PRO Main study will allow identification and evaluation of AD risk factors and markers associated with cognitive performance from the pre-clinical stage. Evaluating the psycho-biological characteristics of these pre-symptomatic individuals in relation to their natural neurocognitive trajectories will enhance current understanding on determinants of the initial signs of cognitive changes linked to AD.
Collapse
Affiliation(s)
- C Udeh-Momoh
- Gerald Novak, MD, Janssen Research and Development, LLC, 1125 Trenton-Harbourton Rd., Titusville, NJ 08560, USA, Tel.:+1 609 730 4416, Fax: +1 908 730 2069,
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
41
|
Peters S, Danson S, Hasan B, Dafni U, Reinmuth N, Majem M, Tournoy KG, Mark MT, Pless M, Cobo M, Rodriguez-Abreu D, Falchero L, Moran T, Ortega Granados AL, Monnet I, Mohorcic K, Sureda BM, Betticher D, Demedts I, Macias JA, Cuffe S, Luciani A, Sanchez JG, Curioni-Fontecedro A, Gautschi O, Price G, Coate L, von Moos R, Zielinski C, Provencio M, Menis J, Ruepp B, Pochesci A, Roschitzki-Voser H, Besse B, Rabaglio M, O'Brien MER, Stahel RA. A Randomized Open-Label Phase III Trial Evaluating the Addition of Denosumab to Standard First-Line Treatment in Advanced NSCLC: The European Thoracic Oncology Platform (ETOP) and European Organisation for Research and Treatment of Cancer (EORTC) SPLENDOUR Trial. J Thorac Oncol 2020; 15:1647-1656. [PMID: 32565388 DOI: 10.1016/j.jtho.2020.06.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/26/2020] [Accepted: 06/07/2020] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Receptor activator of NF-kB ligand stimulates NF-kB-dependent cell signaling and acts as the primary signal for bone resorption. Retrospective analysis of a large trial comparing denosumab versus zoledronic acid in bone metastatic solid tumors suggested significant overall survival (OS) advantage for patients with lung cancer with denosumab (p = 0.01). The randomized open-label phase III SPLENDOUR trial was designed to evaluate whether the addition of denosumab to standard first-line platinum-based doublet chemotherapy improved OS in advanced NSCLC. METHODS Patients with stage IV NSCLC were randomized in a 1:1 ratio to either chemotherapy with or without denosumab (120 mg every 3-4 wks), stratified by the presence of bone metastases (at diagnosis), Eastern Cooperative Oncology Group performance status, histology, and region. To detect an OS increase from 9 to 11.25 months (hazard ratio [HR] = 0.80), 847 OS events were required. The trial closed prematurely owing to decreasing accrual rate. RESULTS A total of 514 patients were randomized, with 509 receiving one or more doses of the assigned treatment (chemotherapy: 252, chemotherapy-denosumab: 257). The median age was 66.1 years, 71% were men, and 59% were former smokers. Bone metastases were identified in 275 patients (53%). Median OS (95% confidence interval [CI]) was 8.7 (7.6-11.0) months in the control arm versus 8.2 (7.5-10.4) months in the chemotherapy-denosumab arm (HR = 0.96; 95% CI: 0.78-1.19; one-sided p = 0.36). For patients with bone metastasis, HR was 1.02 (95% CI: 0.77-1.35), whereas for those without, HR was 0.90 (95% CI: 0.66-1.23). Adverse events grade 3 or greater were observed in 40.9%, 5.2%, 8.7% versus 45.5%, 10.9%, 10.5% of patients. Conditional power for OS benefit was less than or equal to 10%. CONCLUSIONS Denosumab was well-tolerated without unexpected safety concerns. There was no OS improvement for denosumab when added to chemotherapy in the intention-to-treat population and the subgroups with and without bone metastases. Our data do not provide evidence of a clinical benefit for denosumab in patients with NSCLC without bone metastases.
Collapse
Affiliation(s)
- Solange Peters
- Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
| | - Sarah Danson
- Department of Oncology and Metabolism & Sheffield Experimental Cancer Medicine Centre, University of Sheffield, Weston Park Hospital, Sheffield, United Kingdom
| | - Baktiar Hasan
- European Organization for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | - Urania Dafni
- School of Health Sciences, National and Kapodistrian University of Athens & Frontier Science Foundation-Hellas, Athens, Greece
| | - Niels Reinmuth
- Asklepios Kliniken GmbH, Asklepios Fachkliniken Muenchen, Gauting, Germany
| | - Margarita Majem
- Department of Medical Oncology, Hospital De La Santa Creu I Sant Pau, Barcelona, Spain; Spanish lung cancer group (Grupo Español de Cancer de Pulmón (GECP)), Barcelona, Spain
| | - Kurt G Tournoy
- Faculty of Medicine and Life Sciences, Ghent University and Onze-Lieve-Vrouwziekenhuis (OLV), Aalst, Belgium
| | - Michael T Mark
- Swiss Group for Clinical Cancer Research (SAKK), Bern, Switzerland; Department of Medical Oncology, Cantonal Hospital Graubuenden, Chur, Switzerland
| | - Miklos Pless
- Swiss Group for Clinical Cancer Research (SAKK), Bern, Switzerland; Department of Medical Oncology and Hematology, Cantonal Hospital Winterthur, Winterthur, Switzerland
| | - Manuel Cobo
- Spanish lung cancer group (Grupo Español de Cancer de Pulmón (GECP)), Barcelona, Spain; Unidad Gestion Intercentros of Medical Oncology. Regional and Virgen de la Victoria University Hospitals (IBIMA), Málaga, Spain
| | - Delvys Rodriguez-Abreu
- Spanish lung cancer group (Grupo Español de Cancer de Pulmón (GECP)), Barcelona, Spain; Complejo Hospitalario Universitario Insular Materno-Infantil de Gran Canaria, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Lionel Falchero
- Department of Pneumology and Thoracic Oncology, Hopital Nord-Ouest, Villefranche-sur-Saône Cedex, France
| | - Teresa Moran
- Spanish lung cancer group (Grupo Español de Cancer de Pulmón (GECP)), Barcelona, Spain; Department of Medical Oncology, Institut Català d'Oncologia (ICO) Badalona, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona (UAB), Badalona Applied Research Group in Oncology (B-ARGO), Barcelona, Spain
| | - Ana Laura Ortega Granados
- Spanish lung cancer group (Grupo Español de Cancer de Pulmón (GECP)), Barcelona, Spain; Department of Medical Oncology, Hospital Universitario de Jaén, Jaén, Spain
| | - Isabelle Monnet
- Department of Pneumology, Centre Hopitalier Intercommunal De Créteil, Créteil, France
| | - Katja Mohorcic
- Department of Medical Oncology, University Clinic Golnik, Golnik, Slovenia
| | - Bartomeu Massutí Sureda
- Spanish lung cancer group (Grupo Español de Cancer de Pulmón (GECP)), Barcelona, Spain; El Instituto de Investigación Sanitaria y Biomédica de Alicante (SABIAL), Hospital Universitario Alicante, Alicante, Spain
| | - Daniel Betticher
- Swiss Group for Clinical Cancer Research (SAKK), Bern, Switzerland; Department of Medical Oncology, Fribourg Cantonal Hospital (HFR), Fribourg, Switzerland
| | - Ingel Demedts
- Department of Pulmonary Diseases, AZ Delta, Roeselare, Belgium
| | - Jose Antionio Macias
- Spanish lung cancer group (Grupo Español de Cancer de Pulmón (GECP)), Barcelona, Spain; Department of Hematology and Oncology, Hospital General Universitario Morales Meseguer, Murcia, Spain
| | - Sinead Cuffe
- Cancer Trials Ireland, Dublin, Ireland; Department of Medical Oncology, St. James's Hospital, Dublin, Ireland
| | - Andrea Luciani
- Department of Medical Oncology, Ospedale San Paolo, Milano, Italy
| | - Jose Garcia Sanchez
- Spanish lung cancer group (Grupo Español de Cancer de Pulmón (GECP)), Barcelona, Spain; Department of Medical Oncology, University Hospital Arnau de Vilanova, Valencia, Spain
| | - Alessandra Curioni-Fontecedro
- Swiss Group for Clinical Cancer Research (SAKK), Bern, Switzerland; Department for Medical Oncology and Hematology, University Hospital Zürich, Zürich, Switzerland
| | - Oliver Gautschi
- Swiss Group for Clinical Cancer Research (SAKK), Bern, Switzerland; Cantonal Hospital Lucerne, Lucern, Switzerland
| | - Gillian Price
- Department of Medical Oncology, Aberdeen Royal Infirmary NHS Grampian, Aberdeen, United Kingdom
| | - Linda Coate
- Cancer Trials Ireland, Dublin, Ireland; Mid-Western Cancer Centre, University Hospital Limerick, Limerick, Ireland
| | - Roger von Moos
- Swiss Group for Clinical Cancer Research (SAKK), Bern, Switzerland; Department of Medical Oncology, Cantonal Hospital Graubuenden, Chur, Switzerland
| | - Christoph Zielinski
- Clinical Division of Oncology, Medical University Vienna, Vienna, Austria; Central European Cooperative Oncology Group, Vienna, Austria
| | - Mariano Provencio
- Spanish lung cancer group (Grupo Español de Cancer de Pulmón (GECP)), Barcelona, Spain; Department of Medical Oncology, Hospital Puerta de Hierro-Majadahonda, Madrid, Spain
| | - Jessica Menis
- European Organization for Research and Treatment of Cancer (EORTC), Brussels, Belgium; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy; Medical Oncology Department, Istituto Oncologico Veneto, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Padova, Italy
| | - Barbara Ruepp
- European Thoracic Oncology Platform (ETOP), Bern, Switzerland
| | - Alessia Pochesci
- European Organization for Research and Treatment of Cancer (EORTC), Brussels, Belgium
| | | | - Benjamin Besse
- European Organization for Research and Treatment of Cancer (EORTC), Brussels, Belgium; Gustave Roussy Cancer Center Villejuif, Paris Saclay University, Orsay, France
| | | | - Mary E R O'Brien
- Department of Medical Oncology, Royal Marsden Hospital, Sutton, United Kingdom
| | - Rolf A Stahel
- Department for Medical Oncology and Hematology, University Hospital Zürich, Zürich, Switzerland
| |
Collapse
|
42
|
Ackermann C, Fornacon-Wood I, Tay R, Manoharan P, Price G, Lindsay C, Faivre-Finn C, Blackhall F, Cobben D. P1.04-44 Radiomics for Predicting Response to First-Line Anti-PD1 Therapy in Advanced NSCLC. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.947] [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: 10/25/2022]
|
43
|
Johnson-Hart C, Price G, Osorio EV, Faivre-Finn C, Van Herk M. OC-0084 Baseline shifts towards the heart after IGRT are linked to overall survival in lung SABR patients. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30504-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
44
|
Osorio EV, McCallum H, Iqbal S, Bedair A, McWilliam A, Price G, Byrne J, Cobben D. EP-1369 Heart delineations based on 3DCT, AVG and MIP scans: are they representative of the total motion? Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)31789-x] [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: 11/27/2022]
|
45
|
Lewis T, Kennedy J, Price G, Mee T, Kirkby K, Kirkby N, Woolf D, Bayman N, Chan C, Coote J, Faivre-Finn C, Harris M, Hudson A, Pemberton L, Salem A, Sheikh H, Mistry H, Cobben D. PO-0775 Palliative lung radiotherapy: audit of prescribing practice and survival analysis. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)31195-8] [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: 11/28/2022]
|
46
|
Deist T, Dankers F, Ojha P, Marshall S, Janssen T, Faivre-Finn C, Masciocchi C, Valentini V, Wang J, Chen J, Zhang Z, Spezi E, Button M, Nuyttens J, Vernhout R, Van Soest J, Jochems A, Monshouwer R, Bussink J, Price G, Lambin P, Dekker A. OC-0544 Distributed learning on 20 000+ lung cancer patients. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30964-8] [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: 11/30/2022]
|
47
|
Salem A, Mistry H, Falk S, Price G, Faivre-Finn C. OC-0062 Development & validation of prognostic and predictive models in limited-stage small-cell lung cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30482-7] [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: 11/26/2022]
|
48
|
Saverno K, Cuyun Carter G, Dufour R, Price G, Li L, DeLuca A, Nash Smyth E, Battiato L, Gable J, Walker MS, Huang YJ, Hannas S, Schwartzberg LS. Abstract P2-08-66: Outcomes among metastatic breast cancer patients with characteristics that confer a less favorable prognosis. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p2-08-66] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Recent advances in the treatment of hormone receptor positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) metastatic breast cancer (MBC) have contributed to increased overall survival (OS). Despite advances, MBC remains incurable and there is a subset of patients with clinical features that are associated with poorer prognosis. This study described the patient characteristics, treatment patterns, and outcomes of a cohort of US patients with HR+, HER2- MBC as a function of various factors associated with poor prognosis, including presence (vs. absence) of liver metastases (LM).
Methods: This retrospective study used US community oncology electronic health record data from the Vector Oncology Data Warehouse. Eligible women who received systemic treatment for MBC, had a diagnosis of MBC in 2008 or later, and had completed at least three Patient Care Monitor (PCM) surveys, (a patient-reported outcomes survey collected as a part of clinical care), were included. OS was measured from the start of the first three regimen-based lines (1L, 2L and 3L) of treatment; patients without evidence of death were censored at the last observed visit. The statistical significance of differences in categorical and continuous variables between LM positive (LM+) and LM negative (LM-) were evaluated with chi-square (X2) tests, and t-tests, respectively. Kaplan-Meier and Cox analyses were applied to evaluate differences in OS by LM status and by line of therapy at the start of MBC treatment (unadjusted for treatment).
Results: A total of 378 women, 98.4% residing in the South and 40.5% African-American, were included; 295 (78.0%) were LM- at the time of diagnosis. Following 1L, approximately 82.8% and 60.8% of patients received 2L and 3L, respectively. Patients with a LM+ status had a lower mean age (mean: 57.2, SD: 13.8 vs. 61.2, 13.1; p=0.016) and a higher percentage had a grade 3 tumor (36.1 vs. 24.7%; p=0.039) compared to patients with LM-status. Table 1 shows the OS results for 1L-3L. For all 3 lines, median OS for LM+ was shorter than the LM- median OS. LM+ patients had a poorer prognosis as they were more likely to have an OS event across 1L-3L compared to LM- patients.
Conclusions: Among this community oncology cohort, median OS in 1L was 14 months shorter in LM+ patients compared to LM- patients. It is important to note that the sample size and selection criteria may limit generalizability of these results. Despite progress in treating women with MBC, treatment options are lacking for patients with less favorable prognosis, including those with LM. Other potential indicators of poor prognosis, such as high tumor grade, are being explored.
Table 1.OS (months) by regimen-based line of therapy Measure Liver Mets (LM+) No Liver Mets (LM-) HR p-value 1L, # of Events/ # of Patients55/83168/295 Median (95% CI)23.9 (15.5-28.6)35.2 (30.1-42.3) <0.0001* Cox Hazard Ratio 1.93<0.0001 2L, # of Events/ # of Patients48/72149/241 Median (95% CI)16.6 (12.0-22.6)24.2 (21.3-29.0) 0.002* Cox Hazard Ratio 1.490.040 3L, # of Events/ # of Patients35/52118/178 Median (95% CI)11.5 (7.0-21.0)17.4 (14.7-20.0) 0.038* Cox Hazard Ratio 1.540.060CI=Confidence Interval; *p-value was derived using log rank test.
Citation Format: Saverno K, Cuyun Carter G, Dufour R, Price G, Li L, DeLuca A, Nash Smyth E, Battiato L, Gable J, Walker MS, Huang Y-J, Hannas S, Schwartzberg LS. Outcomes among metastatic breast cancer patients with characteristics that confer a less favorable prognosis [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P2-08-66.
Collapse
Affiliation(s)
- K Saverno
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - G Cuyun Carter
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - R Dufour
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - G Price
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - L Li
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - A DeLuca
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - E Nash Smyth
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - L Battiato
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - J Gable
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - MS Walker
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - Y-J Huang
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - S Hannas
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| | - LS Schwartzberg
- Eli Lilly and Company, Indianapolis, IN; Vector Oncology, Memphis, TN; West Cancer Center, Germantown, TN
| |
Collapse
|
49
|
Abstract
Tracheal extubation can evoke an equally strong haemodyamic stress response as tracheal intubation. We present a patient with myocardial infarction who repeatedly failed tracheal extubation. He developed acute pulmonary oedema following each attempt at tracheal extubation due to sympathetic overactivity. A change of approach with extubation under propofol sedation followed by continued sympatholysis with dexmedetomidine infusion allowed successful extubation.
Collapse
Affiliation(s)
- A Kulkarni
- Intensive Care Unit, The St. George Hospital, Sydney, New South Wales
| | | | | | | |
Collapse
|
50
|
Lewis T, Kennedy J, Price G, Mee T, Woolf D, Bayman N, Chan C, Coote J, Faivre-Finn C, Harris M, Hudson A, Pemberton L, Salem A, Sheikh H, Mistry H, Cobben D. Palliative lung radiotherapy at the Christie: audit of prescribing practice and survival analysis. Lung Cancer 2019. [DOI: 10.1016/s0169-5002(19)30240-5] [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: 11/28/2022]
|