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Bourke M, McInerney-Leo A, Steinberg J, Boughtwood T, Milch V, Ross AL, Ambrosino E, Dalziel K, Franchini F, Huang L, Peters R, Gonzalez FS, Goranitis I. The Cost Effectiveness of Genomic Medicine in Cancer Control: A Systematic Literature Review. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2025; 23:359-393. [PMID: 40172779 PMCID: PMC12053027 DOI: 10.1007/s40258-025-00949-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/19/2025] [Indexed: 04/04/2025]
Abstract
BACKGROUND AND OBJECTIVE Genomic medicine offers an unprecedented opportunity to improve cancer outcomes through prevention, early detection and precision therapy. Health policy makers worldwide are developing strategies to embed genomic medicine in routine cancer care. Successful translation of genomic medicine, however, remains slow. This systematic review aims to identify and synthesise published evidence on the cost effectiveness of genomic medicine in cancer control. The insights could support efforts to accelerate access to cost-effective applications of human genomics. METHODS The study protocol was registered with PROSPERO (CRD42024480842), and the review was conducted in line with Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) Guidelines. The search was run in four databases: MEDLINE, Embase, CINAHL and EconLit. Full economic evaluations of genomic technologies at any stage of cancer care, and published after 2018 and in English, were included for data extraction. RESULTS The review identified 137 articles that met the inclusion criteria. Most economic evaluations focused on the prevention and early detection stage (n = 44; 32%), the treatment stage (n = 36; 26%), and managing relapsed, refractory or progressive disease (n = 51, 37%). Convergent cost-effectiveness evidence was identified for the prevention and early detection of breast and ovarian cancer, and for colorectal and endometrial cancers. For cancer treatment, the use of genomic testing for guiding therapy was highly likely to be cost effective for breast and blood cancers. Studies reported that genomic medicine was cost effective for advanced and metastatic non-small cell lung cancer. There was insufficient or mixed evidence regarding the cost effectiveness of genomic medicine in the management of other cancers. CONCLUSIONS This review mapped out the cost-effectiveness evidence of genomic medicine across the cancer care continuum. Gaps in the literature mean that potentially cost-effective uses of genomic medicine in cancer control, for example rare cancers or cancers of unknown primary, may be being overlooked. Evidence on the value of information and budget impact are critical, and advancements in methods to include distributional effects, system capacity and consumer preferences will be valuable. Expanding the current cost-effectiveness evidence base is essential to enable the sustainable and equitable translation of genomic medicine.
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Affiliation(s)
- Mackenzie Bourke
- Economics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3053, Australia
| | - Aideen McInerney-Leo
- Frazer Institute, Dermatology Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Julia Steinberg
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Tiffany Boughtwood
- Australian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Vivienne Milch
- Cancer Australia, Sydney, NSW, Australia
- Caring Futures Institute, Flinders University, Adelaide, SA, Australia
| | - Anna Laura Ross
- Science Division, World Health Organization, Geneva, Switzerland
| | - Elena Ambrosino
- Science Division, World Health Organization, Geneva, Switzerland
| | - Kim Dalziel
- Child Health Economics Unit, School of Population and Global Health, Centre for Health Policy, University of Melbourne, MelbourneMelbourne, VIC, Australia
| | - Fanny Franchini
- Faculty of Medicine, Dentistry and Health Sciences, Cancer Health Services Research, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Li Huang
- Child Health Economics Unit, School of Population and Global Health, Centre for Health Policy, University of Melbourne, MelbourneMelbourne, VIC, Australia
| | - Riccarda Peters
- Economics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3053, Australia
| | - Francisco Santos Gonzalez
- Economics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3053, Australia
| | - Ilias Goranitis
- Economics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Melbourne, VIC, 3053, Australia.
- Australian Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
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Mirza M, Goerke L, Anderson A, Wilsdon T. Assessing the Cost-Effectiveness of Next-Generation Sequencing as a Biomarker Testing Approach in Oncology and Policy Implications: A Literature Review. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2024; 27:1300-1309. [PMID: 38729563 DOI: 10.1016/j.jval.2024.04.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/21/2024] [Accepted: 04/22/2024] [Indexed: 05/12/2024]
Abstract
OBJECTIVE A key hurdle in broader next-generation sequencing (NGS) biomarker testing access in oncology is the ongoing debate on NGS's cost-effectiveness. We conducted a systematic review of existing evidence of the costs of NGS as a biomarker testing strategy in oncology and developed policy suggestions. METHODS We searched multiple databases for studies reporting cost comparisons and cost-effectiveness of NGS across oncology indications and geographies between 2017 and 2022, inclusive. Inclusion criteria were established based on indication and type of cost-effectiveness analysis provided. We validated analyses and policy recommendations with 5 payer/policy maker interviews in the United States, Europe, and United Kingdom. RESULTS Of the 634 identified studies, 29 met inclusion criteria, spanning 12 countries and 6 indications. Cost comparisons of NGS were evaluated using 3 methodologies: (1) comparison of direct testing costs, (2) comparison of holistic testing costs, and (3) comparison of long-term patient outcomes and costs. Targeted panel testing (2-52 genes) was considered cost-effective when 4+ genes were assessed, and larger panels (hundreds of genes) were generally not cost-effective. Holistic analysis demonstrated that NGS reduces turnaround time, healthcare staff requirements, number of hospital visits, and hospital costs. Finally, studies evaluating NGS testing including the cost of targeted therapies generally found the incremental cost-effectiveness ratio to be above common thresholds but highlighted valuable patient benefits. CONCLUSIONS Current literature supports NGS's cost-effectiveness as an oncology biomarker testing strategy under specific conditions. These findings underscore the need to develop policies to support holistic assessment of NGS to ensure appropriate reimbursement and access.
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Affiliation(s)
- Myriam Mirza
- Charles River Associates, Palais Leopold, Munich, Germany.
| | - Lutz Goerke
- Charles River Associates, Palais Leopold, Munich, Germany
| | | | - Tim Wilsdon
- Charles River Associates, London, England, UK
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Amundsen EK, Ihle-Hansen H, Kraglund KL, Hagberg G. Acute ischemic stroke and measurement of apixaban and rivaroxaban: an observational cohort implementation study. Res Pract Thromb Haemost 2024; 8:102307. [PMID: 38314168 PMCID: PMC10837088 DOI: 10.1016/j.rpth.2023.102307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 02/06/2024] Open
Abstract
Background Treatment with intravenous thrombolysis for acute ischemic stroke is contraindicated with intake of apixaban/rivaroxaban in the last 48 hours. Recent European Stroke Organization guidelines suggest that thrombolysis can be considered if anti-factor Xa activity (AFXa) is <0.5 × 103 IU/L with low-molecular-weight (LMWH) or unfractionated heparin (UFH) calibrated assays. Some centers also use apixaban/rivaroxaban-calibrated AFXa assays to identify patients with low drug concentrations. Objectives To prospectively evaluate the first year of implementation of drug-calibrated AFXa assays at our center with 2500 yearly admittances with suspected stroke. Methods Samples were analyzed on Sysmex CS-5100 instruments with Innovance anti-Xa reagents. Thrombolysis could be considered with drug concentrations <25 μg/L. Patients were registered in an institutionally approved quality register. Outcomes included (1) the number of patients receiving thrombolysis after drug measurement, (2) turn-around time for drug concentration measurements, and (3) sensitivity of LMWH/UFH AFXa to apixaban and rivaroxaban. Results Apixaban or rivaroxaban was measured in 148 samples, and 4 patients who previously would have been ineligible for thrombolysis were treated with thrombolysis. In total, thrombolysis was administered in 123 patient episodes in the study period. The median turn-around time for the drug measurements was 38 minutes. Apixaban concentrations of 25 μg/L and 50 μg/L corresponded to LMWH/UFH AFXa of 0.13 and 0.27 × 103 IU/L, respectively. There were too few rivaroxaban results for regression analysis. Conclusion Implementation of apixaban and rivaroxaban measurements led to a small increase in the number of patients receiving thrombolysis. Excluding significant concentrations of apixaban or rivaroxaban using LMWH/UFH AFXa may be feasible.
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Affiliation(s)
| | - Hege Ihle-Hansen
- Oslo Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway
| | | | - Guri Hagberg
- Oslo Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway
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Christopoulos P, Schlenk R, Kazdal D, Blasi M, Lennerz J, Shah R, Budczies J, Malek N, Fröhling S, Rosenquist R, Schirmacher P, Bozorgmehr F, Kuon J, Reck M, Thomas M, Stenzinger A. Real-world data for precision cancer medicine-A European perspective. Genes Chromosomes Cancer 2023. [PMID: 36852573 DOI: 10.1002/gcc.23135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/14/2023] [Accepted: 02/22/2023] [Indexed: 03/01/2023] Open
Abstract
Leveraging real-world data (RWD) for drug access is necessary to overcome a key challenge of modern precision oncology: tackling numerous low-prevalence oncogenic mutations across cancers. Withholding a potentially active medication in patients with rare mutations for the sake of control chemotherapy or "best" supportive care is neither practicable nor ethically justifiable anymore, particularly as RWD could meanwhile be used instead, according to scientific principles outlined by the US Food and Drug Administration, European Medicines Agency and other stakeholders. However, practical implementation varies, with occasionally opposite recommendations based on the same evidence in different countries. In the face of growing need for precision drugs, more transparency of evaluation, a priori availability of guidance for the academia and industry, as well as a harmonized framework for health technology assessment across the European Union (EU) are imperative. These could in turn trigger infrastructural changes in national and pan-European registries, cancer management guidelines (e.g., frequency of routine radiologic restaging, inclusion of patient-reported outcomes), and the health data space, to ensure conformity with declared standards and facilitate extraction of RWD sets (including patient-level data) suitable for approval and pricing with minimal effort. For an EU-wide unification of precision cancer medicine, collective negotiation of drug supply contracts and funding solidarity would additionally be required to handle the financial burden. According to experience from pivotal European programs, off-label use could potentially also be harmonized across EU-states to accelerate availability of novel drugs, streamline collection of valuable RWD, and mitigate related costs through wider partnerships with pharmaceutical companies.
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Affiliation(s)
- Petros Christopoulos
- Department of Oncology, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany.,Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany.,German Center for Lung Research (DZL), Gießen, Germany.,Centers for Personalized Medicine (ZPM), Germany
| | - Richard Schlenk
- Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany.,NCT Trial Center, National Center of Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Daniel Kazdal
- German Center for Lung Research (DZL), Gießen, Germany.,Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Miriam Blasi
- Department of Oncology, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany
| | - Jochen Lennerz
- Machachussets General Hospital, Harvard University, Boston, USA
| | - Rajiv Shah
- Department of Oncology, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany.,German Center for Lung Research (DZL), Gießen, Germany
| | - Jan Budczies
- Centers for Personalized Medicine (ZPM), Germany.,Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Nisar Malek
- Centers for Personalized Medicine (ZPM), Germany.,Department of Gastroenterology, Tübingen University Hospital, Tübingen, Germany
| | - Stefan Fröhling
- Centers for Personalized Medicine (ZPM), Germany.,Department of Translational Medical Oncology, National Center for Tumor Diseases, Heidelberg, Germany.,German Cancer Consortium (DKTK), Germany
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Peter Schirmacher
- Centers for Personalized Medicine (ZPM), Germany.,Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.,German Cancer Consortium (DKTK), Germany
| | - Farastuk Bozorgmehr
- Department of Oncology, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany.,German Center for Lung Research (DZL), Gießen, Germany
| | - Jonas Kuon
- Department of Oncology, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany.,German Center for Lung Research (DZL), Gießen, Germany.,Department of Oncology, Lungenklinik Löwenstein, Löwenstein, Germany
| | - Martin Reck
- German Center for Lung Research (DZL), Gießen, Germany.,Department of Thoracic Oncology, Lungenclinic Großhansdorf, Großhansdorf, Germany
| | - Michael Thomas
- Department of Oncology, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany.,Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany.,German Center for Lung Research (DZL), Gießen, Germany
| | - Albrecht Stenzinger
- German Center for Lung Research (DZL), Gießen, Germany.,Centers for Personalized Medicine (ZPM), Germany.,Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.,German Cancer Consortium (DKTK), Germany
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