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McAleese J, Drinkwater K. Service Improvements and Workload Increases: Royal College of Radiologists (RCR) Re-Audit of Curative Intent Radiotherapy for Non-Small Cell Lung Cancer (NSCLC). Clin Oncol (R Coll Radiol) 2024; 36:e128-e136. [PMID: 38616447 DOI: 10.1016/j.clon.2024.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/13/2024] [Accepted: 03/13/2024] [Indexed: 04/16/2024]
Abstract
AIMS The Royal College of Radiologists (RCR) audit of radical radiotherapy (RR) for patients with non-small cell lung cancer (NSCLC) in 2013 concluded that there was under-treatment compared to international comparators and marked variability between cancer networks. Elderly patients were less likely to receive guideline recommended treatments. Access to technological developments was low. Various national and local interventions have since taken place. This study aims to re-assess national practice. MATERIALS AND METHODS Radiotherapy departments completed one questionnaire for each patient started on RR for 4 weeks in January 2023. RESULTS Ninety-three percent of centres returned data on 295 patients. RR has increased 70% since 2013 but patients on average wait 20% longer to start treatment (p = 0.02). Staging investigations were often outside a desirable timeframe (79% of PET/CT scans). Advanced planning techniques are used more frequently: 4-dimensional planning increased from 33% to 90% (P < 0.001), cone beam imaging from 67% to 97% (p < 0.001) and colleague led peer review increased from 41% to 73% (P < 0.001). CONCLUSION There have been significant improvements in care. There has been a considerable increase in clinical oncology workload with evidence of stress on the system that requires additional resourcing.
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Affiliation(s)
- J McAleese
- Northern Ireland Cancer Centre, Belfast, United Kingdom; Queens University, Belfast, United Kingdom; Royal College of Radiologists, United Kingdom
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Corral J, Borras JM, Lievens Y. Utilisation of radiotherapy in lung cancer: A scoping narrative literature review with a focus on the introduction of evidence-based therapeutic approaches in Europe. Clin Transl Radiat Oncol 2024; 45:100717. [PMID: 38226026 PMCID: PMC10788411 DOI: 10.1016/j.ctro.2023.100717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 12/16/2023] [Indexed: 01/17/2024] Open
Abstract
Background and purpose The aim of this study was to review the published studies on the utilisation of radiotherapy in lung cancer (both small and non-small cell lung cancer, SCLC and NSCLC) patients in European countries with a population-based perspective. Material and methods A literature search since January 2000 until December 2022 was carried out. Only English-published papers were included, and only European data was considered. PRISMA guidelines were followed. A scoping narrative review was undertaken due to the hetereogeneity of the published papers. Results 38 papers were included in the analysis, with the majority from the Netherlands (52.6%) and the UK (18.4%). Large variability is observed in the reported radiotherapy utilisation, around 40% for NSCLC in general and between 26 and 42% in stage I NSCLC. Stereotactic body radiotherapy (SBRT) shows a wide range of utilisation across countries and over time, from 8 to 63%. Similary, in stage III lung cancer, chemoradiotherapy (CRT) utilisation varied considerably (11-70%). Eleven studies compared radiotherapy utilisation between older and younger age-groups, showing that younger patients receive more CRT, while the opposite applies for SBRT. An widespreadlack of data on relevant covariates such as comorbidty and health-services related variables is observed. Conclusion The actual utilisation of radiotherapy for lung cancer reported in patterns-of-care studies (POCs) is notably lower than the evidence-based optimal utilisation. Important variability is observed by country, time period, stage at diagnosis and age. A wider use of POCs should be promoted to improve our knowledge on the actual application of evidence-based treatment recommendations.
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Affiliation(s)
- Julieta Corral
- Catalonian Cancer Plan, Department of Health, Barcelona, Spain
- Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet, Barcelona, Spain
| | - Josep M. Borras
- Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet, Barcelona, Spain
- Department of Clinical Sciences, University of Barcelona, Spain
| | - Yolande Lievens
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
- Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
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Salem A, Franks K, Greystoke A, Hanna GG, Harrow S, Hatton M, Hiley C, McDonald F, Faivre-Finn C. Unaccounted Confounders Limit the Ability to Draw Conclusions From Big Data Analysis Comparing Radiotherapy Fractionation Regimens in NSCLC. J Thorac Oncol 2022; 17:e55-e56. [PMID: 35623677 DOI: 10.1016/j.jtho.2022.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 02/14/2022] [Indexed: 11/21/2022]
Affiliation(s)
- Ahmed Salem
- Department of Basic Medical Sciences, Hashemite University, Zarqa, Jordan; Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
| | - Kevin Franks
- Leeds Cancer Centre, St. James's University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Alastair Greystoke
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Gerard G Hanna
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland
| | | | - Matthew Hatton
- Department of Clinical Oncology, Weston Park Hospital, Sheffield, United Kingdom
| | - Crispin Hiley
- Research Department of Oncology, University College London, London, United Kingdom
| | - Fiona McDonald
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Corinne Faivre-Finn
- Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom; Department Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
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Brada M, Forbes H, Ashley S, Fenwick J. Robust Comprehensive Dataset Provides Pause for Thought. J Thorac Oncol 2022; 17:e56-e57. [PMID: 35623678 DOI: 10.1016/j.jtho.2022.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 03/31/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Michael Brada
- Department of Radiation Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust Wirral, United Kingdom.
| | - Helen Forbes
- Department of Radiation Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust Wirral, United Kingdom
| | - Susan Ashley
- Department of Radiation Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust Wirral, United Kingdom
| | - John Fenwick
- Department of Radiation Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust Wirral, United Kingdom
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Brada M, Forbes H, Ashley S, Fenwick J. Improving Outcomes in NSCLC: Optimum Dose Fractionation in Radical Radiotherapy Matters. J Thorac Oncol 2022; 17:532-543. [PMID: 35092841 DOI: 10.1016/j.jtho.2022.01.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION We analyzed a comprehensive national radiotherapy data set to compare outcomes of the most frequently used moderate hypofractionation regimen (55 Gy in 20 fractions) and conventional fractionation regimen (60-66 Gy in 30-33 fractions). METHODS A total of 169,863 cases of NSCLC registered in England from January 2012 to December 2016 obtained from the Public Health England were divided into cohort 1 (training set) diagnosed in 2012 to 2013 and cohort 2 (validation set) diagnosed in 2014 to 2016. Radiotherapy data were obtained from the National Radiotherapy Dataset and linked by National Health Service number to survival data from the Office of National Statistics and Hospital Episode Statistics, from which surgical data and Charlson comorbidity index were obtained. Of 73,186 patients with stages I to III NSCLC, 12,898 received radical fractionated radiotherapy (cohort 1-4894; cohort 2-8004). The proportional hazards model was used to investigate overall survival from time of diagnosis. Survival was adjusted for the prognostic factors of age, sex, stage of disease, comorbidity, other radical treatments, and adjuvant chemotherapy, and the difference between the treatment schedules was summarized by hazard ratio (HR) and 95% confidence interval. The significance of any difference was evaluated by the log likelihood test. RESULTS Of patients with stages I to III NSCLC, 17% to 18% received radical fractionated radiotherapy. After adjustment for independent prognostic factors of age, stage, comorbidity, and other radical and adjuvant treatments, patients in cohort 1 treated with the 2.75 Gy per fraction regimen had a median survival of 25 months compared with 29 months for patients treated with the 2 Gy per fraction regimen (HR = 1.16, p = 0.001). Similarly, in cohort 2, the respective median survival values were 25 and 28 months (HR = 1.10, p = 0.02). CONCLUSIONS Big data analysis of a comprehensive national cohort of patients with NSCLC treated in England suggests that compared with a 4-week regimen of 55 Gy in 20 fractions, a 6-week regimen of conventional daily fractionation to a dose of 60 to 66 Gy at 2 Gy per fraction is associated with a survival benefit. Within the limitations of the retrospective big data analysis with potential selection bias and in the absence of randomized trials, the results suggest that conventional fractionation regimens should remain the standard of care.
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Affiliation(s)
- Michael Brada
- Department of Radiation Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust, Wirral, United Kingdom; Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom.
| | - Helen Forbes
- Department of Radiation Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust, Wirral, United Kingdom; National Clinical Analysis and Specialised Applications Team (NATCANSAT), The Clatterbridge Cancer Centre NHS Foundation Trust, Wirral, United Kingdom
| | - Susan Ashley
- Department of Radiation Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust, Wirral, United Kingdom
| | - John Fenwick
- Department of Radiation Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust, Wirral, United Kingdom; Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
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Ghandourh W, Holloway L, Batumalai V, Chlap P, Field M, Jacob S. Optimal and actual rates of Stereotactic Ablative Body Radiotherapy (SABR) utilisation for primary lung cancer in Australia. Clin Transl Radiat Oncol 2022; 34:7-14. [PMID: 35282142 PMCID: PMC8907547 DOI: 10.1016/j.ctro.2022.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 03/01/2022] [Indexed: 12/02/2022] Open
Abstract
Stereotactic Ablative Body Radiotherapy (SABR) plays a major role in the management of early-stage non-small cell lung cancer (NSCLC). An evidence-based model is developed to estimate optimal rates of lung SABR utilisation within the Australian population. Optimal utilisation rates are compared against actual utilisation rates to evaluate service provision.
Background and purpose Radiotherapy utilisation rates considerably vary across different countries and service providers, highlighting the need to establish reliable benchmarks against which utilisation rates can be assessed. Here, optimal utilisation rates of Stereotactic Ablative Body Radiotherapy (SABR) for lung cancer are estimated and compared against actual utilisation rates to identify potential shortfalls in service provision. Materials and Methods An evidence-based optimal utilisation model was constructed after reviewing practice guidelines and identifying indications for lung SABR based on the best available evidence. The proportions of patients likely to develop each indication were obtained, whenever possible, from Australian population-based studies. Sensitivity analysis was performed to account for variations in epidemiological data. Practice pattern studies were reviewed to obtain actual utilisation rates. Results A total of 6% of all lung cancer patients were estimated to optimally require SABR at least once during the course of their illness (95% CI: 4–6%). Optimal utilisation rates were estimated to be 32% for stage I and 10% for stage II NSCLC. Actual utilisation rates for stage I NSCLC varied between 6 and 20%. For patients with inoperable stage I, 27–74% received SABR compared to the estimated optimal rate of 82%. Conclusion The estimated optimal SABR utilisation rates for lung cancer can serve as useful benchmarks to highlight gaps in service delivery and help plan for more adequate and efficient provision of care. The model can be easily modified to determine optimal utilisation rates in other populations or updated to reflect any changes in practice guidelines or epidemiological data.
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Identification and Prognostic Value Exploration of Radiotherapy Sensitivity-Associated Genes in Non-Small-Cell Lung Cancer. BIOMED RESEARCH INTERNATIONAL 2021; 2021:5963868. [PMID: 34518802 PMCID: PMC8433590 DOI: 10.1155/2021/5963868] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/16/2021] [Accepted: 08/17/2021] [Indexed: 11/30/2022]
Abstract
Background Non-small-cell lung cancer (NSCLC) is a prevalent malignancy with high mortality and poor prognosis. The radiotherapy is one of the most common treatments of NSCLC, and the radiotherapy sensitivity of patients could affect the individual prognosis of NSCLC. However, the prognostic signatures related to radiotherapy response still remain limited. Here, we explored the radiosensitivity-associated genes and constructed the prognostically predictive model of NSCLC cases. Methods The NSCLC samples with radiotherapy records were obtained from The Cancer Genome Atlas database, and the mRNA expression profiles of NSCLC patients from the GSE30219 and GSE31210 datasets were obtained from the Gene Expression Omnibus database. The Weighted Gene Coexpression Network Analysis (WGCNA), univariate, least absolute shrinkage and selection operator (LASSO), multivariate Cox regression analysis, and nomogram were conducted to identify and validate the radiotherapy sensitivity-related signature. Results WGCNA revealed that 365 genes were significantly correlated with radiotherapy response. LASSO Cox regression analysis identified 8 genes, including FOLR3, SLC6A11, ALPP, IGFN1, KCNJ12, RPS4XP22, HIST1H2BH, and BLACAT1. The overall survival (OS) of the low-risk group was better than that of the high-risk group separated by the Risk Score based on these 8 genes for the NSCLC patients. Furthermore, the immune infiltration analysis showed that monocytes and activated memory CD4 T cells had different relative proportions in the low-risk group compared with the high-risk group. The Risk Score was correlated with immune checkpoints, including CTLA4, PDL1, LAG3, and TIGIT. Conclusion We identified 365 genes potentially correlated with the radiotherapy response of NSCLC patients. The Risk Score model based on the identified 8 genes can predict the prognosis of NSCLC patients.
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Coutinho AJ, Costa Lima SA, Afonso CMM, Reis S. Mucoadhesive and pH responsive fucoidan-chitosan nanoparticles for the oral delivery of methotrexate. Int J Biol Macromol 2020; 158:180-188. [PMID: 32360466 DOI: 10.1016/j.ijbiomac.2020.04.233] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 04/24/2020] [Accepted: 04/26/2020] [Indexed: 12/24/2022]
Abstract
Considering the potential of mucoadhesive properties of nanoparticles in oral delivery, this work describes the preparation and characterization of fucoidan/chitosan nanoparticles loaded with methotrexate (MTX) intended to lung cancer therapy. The nanoparticles were produced and characterized in terms of size, surface charge, entrapment efficiency, and morphology. The size of the developed nanoparticles was around 300 nm, the zeta potential value was negative (ca. -30 mV), revealing a low tendency to aggregate. The self-assembled fucoidan/chitosan nanoparticles were stable at acidic pH (1.6-5.2), without disintegration under pH 6-7.4, revealing resistance through the gastrointestinal tract, and were found to be mucoadhesive suggesting ability to enhance drug oral bioavailability. Lung cancer cells quickly internalized the developed nanoparticles. Moreover, MTX-loaded fucoidan/chitosan nanoparticles up to 245 μg mL-1 in polymer equivalent to 23.5 μg mL-1 of MTX were safe towards fibroblasts but hampered lung cancer cell proliferation mediated by an apoptotic process. MTX-loaded nanoparticles were 7-fold more effective in inhibiting lung cancer cells proliferation than the free drug, showing the potential of fucoidan-chitosan nanoparticles to improve the cytotoxicity of free methotrexate on A549 lung cancer cells. These results also demonstrate that fucoidan/chitosan nanoparticles may provide a suitable platform for poor-water soluble compounds' oral delivery.
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Affiliation(s)
- Ana J Coutinho
- LAQV, REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Portugal, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Sofia A Costa Lima
- LAQV, REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Portugal, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Carlos M M Afonso
- Laboratory of Organic and Pharmaceutical Chemistry, Department of Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), Edifício do Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos s/n, 4050-208 Matosinhos, Porto, Portugal
| | - Salette Reis
- LAQV, REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Portugal, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal.
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Liu W, Liu A, Chan J, Boldt RG, Munoz-Schuffenegger P, Louie AV. What is the optimal radiotherapy utilization rate for lung cancer?-a systematic review. Transl Lung Cancer Res 2019; 8:S163-S171. [PMID: 31673521 DOI: 10.21037/tlcr.2019.08.12] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Lung cancer is a major cause of morbidity and mortality globally. Although radiotherapy (RT) may be beneficial in the radical and/or palliative management of many lung cancer patients, it is underutilized worldwide. Population-level development of RT resources requires estimates of optimal radiotherapy utilization rates (ORUR) and actual radiotherapy utilization rate (ARUR). A systematic review of PubMed database for English-language articles from January 2009 to January 2019 was performed. Keywords included utilization, underutilization, demand, epidemiologic, benchmark, RT and cancer. Data abstracted included: study population, diagnosis, stage, year of diagnosis, timing of RT, intent of RT, ARUR, and ORUR. Eligible studies provided ARUR or ORUR for lung cancer, small cell lung cancer (SCLC), or non-small cell lung cancer (NSCLC). Included ARUR were based on at least 1,000 patients who were diagnosed or treated in 2009 or later. Included ORUR were based on evidence review or ARUR in 2009 or later. The initial search strategy yielded 1,627 unique abstracts. After review, 105 articles were determined appropriate for full-text review. From these, a final set of 21 articles met all inclusion criteria. In eight papers, ORUR was estimated. Estimated lifetime ORUR ranged from 61% to 82%. Methods for estimation included the evidence-based guideline model, Malthus model, and criterion-based benchmarking (CBB) model. The majority of estimates (6/8) used the evidence-based guideline model. Fifteen papers provided ARUR on lung cancer, inclusive of SCLC and NSCLC. ARUR within 9 months to 1 year of diagnosis ranged from 39% to 46%. Lifetime ARUR was an estimated 52% in Ontario, Canada. Palliative intent ARUR ranged from 12% in Central Poland to 46% in Ontario, Canada. RT is underutilized for lung cancer globally, and there is wide geographical variation in the level of underutilization.
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Affiliation(s)
- Wei Liu
- Division of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Alissa Liu
- McMaster University, Hamilton, Ontario, Canada
| | - Jessica Chan
- Division of Radiation Oncology, The Ottawa Hospital and the University of Ottawa, Ottawa, Ontario, Canada
| | - R Gabriel Boldt
- Division of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Pablo Munoz-Schuffenegger
- Departamento de Hematologia-Oncologia, Pontificia Universidad Catolica de Chile, Santiago, Región Metropolitana, Chile
| | - Alexander V Louie
- Division of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada.,Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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