1
|
van Schaik LF, Engelhardt EG, Wilthagen EA, Steeghs N, Fernández Coves A, Joore MA, van Harten WH, Retèl VP. Factors for a broad technology assessment of comprehensive genomic profiling in advanced cancer, a systematic review. Crit Rev Oncol Hematol 2024; 202:104441. [PMID: 39002790 DOI: 10.1016/j.critrevonc.2024.104441] [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: 04/15/2024] [Revised: 06/12/2024] [Accepted: 07/06/2024] [Indexed: 07/15/2024] Open
Abstract
Comprehensive Genomic Profiling (CGP) allows for the identification of many targets. Reimbursement decision-making is, however, challenging because besides the health benefits of on-label treatments and costs, other factors related to diagnostic and treatment pathways may also play a role. The aim of this study was to identify which other factors are relevant for the technology assessment of CGP and to summarize the available evidence for these factors. After a scoping search and two expert sessions, five factors were identified: feasibility, test journey, wider implications of diagnostic results, organisation of laboratories, and "scientific spillover". Subsequently, a systematic search identified 83 studies collecting mainly evidence for the factors "test journey" and "wider implications of diagnostic results". Its nature was, however, of limited value for decision-making. We recommend the use of comparative strategies, uniformity in outcome definitions, and the inclusion of a comprehensive set of factors in future evidence generation.
Collapse
Affiliation(s)
- L F van Schaik
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, P.O. Box 90103, Amsterdam 1006 BE, the Netherlands; Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands.
| | - E G Engelhardt
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, P.O. Box 90103, Amsterdam 1006 BE, the Netherlands.
| | - E A Wilthagen
- Scientific Information Service, Netherlands Cancer Institute, Antoni van Leeuwenhoek, Plesmanlaan 121, Amsterdam CX 1066, the Netherlands.
| | - N Steeghs
- Department of Medical Oncology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam CX 1066, the Netherlands.
| | - A Fernández Coves
- Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), P. Debyelaan 25, Oxford Building, P.O. Box 5800a, Maastricht, Limburg, the Netherlands; Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
| | - M A Joore
- Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), P. Debyelaan 25, Oxford Building, P.O. Box 5800a, Maastricht, Limburg, the Netherlands; Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
| | - W H van Harten
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, P.O. Box 90103, Amsterdam 1006 BE, the Netherlands; Department of Health Technology and Services Research, University of Twente, Enschede, the Netherlands.
| | - V P Retèl
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, P.O. Box 90103, Amsterdam 1006 BE, the Netherlands; Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands.
| |
Collapse
|
2
|
Watkins JA, Trotman J, Tadross JA, Harrington J, Hatcher H, Horan G, Prewett S, Wong HH, McDonald S, Tarpey P, Roberts T, Su J, Tischkowitz M, Armstrong R, Amary F, Sosinsky A. Introduction and impact of routine whole genome sequencing in the diagnosis and management of sarcoma. Br J Cancer 2024:10.1038/s41416-024-02721-8. [PMID: 38997407 DOI: 10.1038/s41416-024-02721-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/26/2024] [Accepted: 05/10/2024] [Indexed: 07/14/2024] Open
Abstract
BACKGROUND Sarcomas are diverse neoplasms with highly variable histological appearances in which diagnosis is often challenging and management options for metastatic/unresectable disease limited. Many sarcomas have distinctive molecular alterations, but the range of alterations is large, variable in type and rapidly increasing, meaning that testing by limited panels is unable to capture the broad spectrum of clinically pertinent genomic drivers required. Paired whole genome sequencing (WGS) in contrast allows comprehensive assessment of small variants, copy number and structural variants along with mutational signature analysis and germline testing. METHODS Introduction of WGS as a diagnostic standard for all eligible patients with known or suspected soft tissue sarcoma over a 2-year period at a soft tissue sarcoma treatment centre. RESULTS WGS resulted in a refinement in the diagnosis in 37% of cases, identification of a target for personalised therapy in 33% of cases, and a germline alteration in 4% of cases. CONCLUSION Introduction of WGS poses logistical and training challenges, but offers significant benefits to this group of patients.
Collapse
Affiliation(s)
- James A Watkins
- East Genomics Laboratory Hub, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
| | - Jamie Trotman
- East Genomics Laboratory Hub, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - John A Tadross
- East Genomics Laboratory Hub, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- MRC Metabolic Diseases Unit, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Jennifer Harrington
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Helen Hatcher
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Gail Horan
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Sarah Prewett
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Han H Wong
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Sarah McDonald
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Patrick Tarpey
- East Genomics Laboratory Hub, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Thomas Roberts
- East Genomics Laboratory Hub, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jing Su
- East Genomics Laboratory Hub, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Marc Tischkowitz
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Ruth Armstrong
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Fernanda Amary
- Department of Histopathology, Royal National Orthopaedic Hospital, Stanmore, UK
| | | |
Collapse
|
3
|
Schramm W, Hollenbenders Y, Kurscheidt M. Explorative cost-effectiveness analysis of colorectal cancer recurrence detection with next-generation sequencing liquid biopsy in Spain, France, and Germany. Therap Adv Gastroenterol 2024; 17:17562848241248246. [PMID: 38737912 PMCID: PMC11088292 DOI: 10.1177/17562848241248246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 04/02/2024] [Indexed: 05/14/2024] Open
Abstract
Background Next-generation sequencing liquid biopsy (NGS-LB) for colorectal cancer (CRC) detection and surveillance remains an expensive technology as economies of scale have not yet been realized. Nevertheless, the cost of sequencing has decreased while sensitivity has increased, raising the question of whether cost-effectiveness (CE) has already been achieved from the perspective of European healthcare systems. Objectives This health economic (HE) modeling study explores the CE of NGS-LB for CRC based on direct treatment costs compared to standard care without liquid biopsy in Spain, France, and Germany. Methods A structured literature search was used to collect evidence from 2009 to 2020 on the stage-dependent quality of life (quality-adjusted life-years, QALY), efficacy, and total direct treatment costs (TDC) of NGS-LB. A decision-analytic Markov model was developed. Over the remaining lifetime, cumulative life expectancy (LE), TDC, and QALYs were calculated for 60-year-old men and women in CRC stage III with different assumed effects of NGS-LB of 1% or 3% on improved survival and reduced stage progression, respectively. Results The use of NGS-LB increases LE by 0.19 years in Spanish men (France: 0.19 years, Germany: 0.13 years) and by 0.21 years in Spanish women (France: 0.21 years, Germany: 0.14 years), respectively. The 3% discounted cost per QALY gained was 35,571.95 € for Spanish men (France: 31,705.15 €, Germany: 37,537.68 €) and 35,435.71 € for Spanish women (France: 31,295.57 €, Germany: 38,137.08 €) in the scenario with 3% improved survival and reduced disease progression. Compared to the other two countries, Germany has by far the highest TDC, which can amount to >80k euros in the last treatment year. Conclusion In this explorative HE modeling study, NGS-LB achieves generally accepted CE levels in CRC treatment from the health system perspective in three major European economies under assumptions of small improvements in cancer recurrence and survival. Confirmation of these findings through clinical trials is encouraged.
Collapse
Affiliation(s)
- Wendelin Schramm
- GECKO Institute for Medicine, Informatics and Economics, Hochschule Heilbronn, Max-Planck Str. 39, Heilbronn 74081, Germany
| | | | | |
Collapse
|
4
|
Mfumbilwa ZA, Simons MJHG, Ramaekers B, Retèl VP, Mankor JM, Groen HJM, Aerts JGJV, Joore M, Wilschut JA, Coupé VMH. Exploring the Cost Effectiveness of a Whole-Genome Sequencing-Based Biomarker for Treatment Selection in Patients with Advanced Lung Cancer Ineligible for Targeted Therapy. PHARMACOECONOMICS 2024; 42:419-434. [PMID: 38194023 PMCID: PMC10937799 DOI: 10.1007/s40273-023-01344-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: 12/06/2023] [Indexed: 01/10/2024]
Abstract
OBJECTIVE We aimed to perform an early cost-effectiveness analysis of using a whole-genome sequencing-based tumor mutation burden (WGS-TMB), instead of programmed death-ligand 1 (PD-L1), for immunotherapy treatment selection in patients with non-squamous advanced/metastatic non-small cell lung cancer ineligible for targeted therapy, from a Dutch healthcare perspective. METHODS A decision-model simulating individual patients with metastatic non-small cell lung cancer was used to evaluate diagnostic strategies to select first-line immunotherapy only or the immunotherapy plus chemotherapy combination. Treatment was selected using PD-L1 [A, current practice], WGS-TMB [B], and both PD-L1 and WGS-TMB [C]. Strategies D, E, and F take into account a patient's disease burden, in addition to PD-L1, WGS-TMB, and both PD-L1 and WGS-TMB, respectively. Disease burden was defined as a fast-growing tumor, a high number of metastases, and/or weight loss. A threshold of 10 mutations per mega-base was used to classify patients into TMB-high and TMB-low groups. Outcomes were discounted quality-adjusted life-years (QALYs) and healthcare costs measured from the start of first-line treatment to death. Healthcare costs includes drug acquisition, follow-up costs, and molecular diagnostic tests (i.e., standard diagnostic techniques and/or WGS for strategies involving TMB). Results were reported using the net monetary benefit at a willingness-to-pay threshold of €80,000/QALY. Additional scenario and threshold analyses were performed. RESULTS Strategy B had the lowest QALYs (1.84) and lowest healthcare costs (€120,800). The highest QALYs and healthcare costs were 2.00 and €140,400 in strategy F. In the base-case analysis, strategy A was cost effective with the highest net monetary benefit (€27,300), followed by strategy B (€26,700). Strategy B was cost effective when the cost of WGS testing was decreased by at least 24% or when immunotherapy results in an additional 0.5 year of life gained or more for TMB high compared with TMB low. Strategies C and F, which combined TMB and PD-L1 had the highest net monetary benefit (≥ €76,900) when the cost of WGS testing, immunotherapy, and chemotherapy acquisition were simultaneously reduced by at least 47%, 39%, and 43%, respectively. Furthermore, strategy C resulted in the highest net monetary benefit (≥ €39,900) in a scenario where patients with both PD-L1 low and TMB low were treated with chemotherapy instead of immunotherapy plus chemotherapy. CONCLUSIONS The use of WGS-TMB is not cost effective compared to PD-L1 for immunotherapy treatment selection in non-squamous metastatic non-small cell lung cancer in the Netherlands. WGS-TMB could become cost effective provided there is a reduction in the cost of WGS testing or there is an increase in the predictive value of WGS-TMB for immunotherapy effectiveness. Alternatively, a combination strategy of PD-L1 testing with WGS-TMB would be cost effective if used to support the choice to withhold immunotherapy in patients with a low expected benefit of immunotherapy.
Collapse
Affiliation(s)
- Zakile A Mfumbilwa
- Department of Epidemiology and Data Science, Disease Modelling and Health Care Evaluation, Amsterdam UMC, Location Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
- Department of Mathematics and Statistics, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Martijn J H G Simons
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Bram Ramaekers
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Valesca P Retèl
- Department of Health Technology and Services Research, University of Twente, Enschede, The Netherlands
| | - Joanne M Mankor
- Department of Pulmonary Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Harry J M Groen
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Manuela Joore
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Janneke A Wilschut
- Department of Epidemiology and Data Science, Disease Modelling and Health Care Evaluation, Amsterdam UMC, Location Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| | - Veerle M H Coupé
- Department of Epidemiology and Data Science, Disease Modelling and Health Care Evaluation, Amsterdam UMC, Location Vrije Universiteit Amsterdam, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands.
| |
Collapse
|
5
|
Samsom KG, Bosch LJW, Schipper LJ, Schout D, Roepman P, Boelens MC, Lalezari F, Klompenhouwer EG, de Langen AJ, Buffart TE, van Linder BMH, van Deventer K, van den Burg K, Unmehopa U, Rosenberg EH, Koster R, Hogervorst FBL, van den Berg JG, Riethorst I, Schoenmaker L, van Beek D, de Bruijn E, van der Hoeven JJM, van Snellenberg H, van der Kolk LE, Cuppen E, Voest EE, Meijer GA, Monkhorst K. Optimized whole-genome sequencing workflow for tumor diagnostics in routine pathology practice. Nat Protoc 2024; 19:700-726. [PMID: 38092944 DOI: 10.1038/s41596-023-00933-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/19/2023] [Indexed: 03/10/2024]
Abstract
Two decades after the genomics revolution, oncology is rapidly transforming into a genome-driven discipline, yet routine cancer diagnostics is still mainly microscopy based, except for tumor type-specific predictive molecular tests. Pathology laboratories struggle to quickly validate and adopt biomarkers identified by genomics studies of new targeted therapies. Consequently, clinical implementation of newly approved biomarkers suffers substantial delays, leading to unequal patient access to these therapies. Whole-genome sequencing (WGS) can successfully address these challenges by providing a stable molecular diagnostic platform that allows detection of a multitude of genomic alterations in a single cost-efficient assay and facilitating rapid implementation, as well as by the development of new genomic biomarkers. Recently, the Whole-genome sequencing Implementation in standard Diagnostics for Every cancer patient (WIDE) study demonstrated that WGS is a feasible and clinically valid technique in routine clinical practice with a turnaround time of 11 workdays. As a result, WGS was successfully implemented at the Netherlands Cancer Institute as part of routine diagnostics in January 2021. The success of implementing WGS has relied on adhering to a comprehensive protocol including recording patient information, sample collection, shipment and storage logistics, sequencing data interpretation and reporting, integration into clinical decision-making and data usage. This protocol describes the use of fresh-frozen samples that are necessary for WGS but can be challenging to implement in pathology laboratories accustomed to using formalin-fixed paraffin-embedded samples. In addition, the protocol outlines key considerations to guide uptake of WGS in routine clinical care in hospitals worldwide.
Collapse
Affiliation(s)
- Kris G Samsom
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Linda J W Bosch
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Luuk J Schipper
- Department of Molecular Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Oncode Institute, Office Jaarbeurs Innovation Mile (JIM), Utrecht, the Netherlands
| | - Daoin Schout
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Paul Roepman
- Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands
| | - Mirjam C Boelens
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Ferry Lalezari
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | | | - Adrianus J de Langen
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Tineke E Buffart
- Department of Medical Oncology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Berit M H van Linder
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Kelly van Deventer
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Kay van den Burg
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Unga Unmehopa
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Efraim H Rosenberg
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Roelof Koster
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Frans B L Hogervorst
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - José G van den Berg
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Immy Riethorst
- Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands
| | - Lieke Schoenmaker
- Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands
| | - Daphne van Beek
- Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands
| | - Ewart de Bruijn
- Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands
| | | | | | | | - Edwin Cuppen
- Oncode Institute, Office Jaarbeurs Innovation Mile (JIM), Utrecht, the Netherlands
- Hartwig Medical Foundation, Science Park, Amsterdam, the Netherlands
- Center for Molecular Medicine, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Emile E Voest
- Department of Molecular Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Oncode Institute, Office Jaarbeurs Innovation Mile (JIM), Utrecht, the Netherlands
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Gerrit A Meijer
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Kim Monkhorst
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| |
Collapse
|
6
|
Bayle A, Marino P, Baffert S, Margier J, Bonastre J. [Cost of high-throughput sequencing (NGS) technologies: Literature review and insights]. Bull Cancer 2024; 111:190-198. [PMID: 37852801 DOI: 10.1016/j.bulcan.2023.08.013] [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: 03/21/2023] [Revised: 08/02/2023] [Accepted: 08/28/2023] [Indexed: 10/20/2023]
Abstract
Although high-throughput sequencing technologies (Next-Generation Sequencing [NGS]) are revolutionizing medicine, the estimation of their production cost for pricing/tariffication by health systems raises methodological questions. The objective of this review of cost studies of high-throughput sequencing techniques is to draw lessons for producing robust cost estimates of these techniques. We analyzed, using an eleven item analysis framework, micro-costing studies of high-throughput sequencing technologies (n=17), including two studies conducted in the French context. The factors of variability between the studies that we identified were temporality (early evaluation of the innovation vs. evaluation of a mature technology), the choice of cost evaluation method (scope, micro- vs. gross-costing technique), the choice of production steps observed and the transposability of these studies. The lessons we have learned are that it is necessary to have a comprehensive vision of the sequencing production process by integrating all the steps from the collection of the biological sample to the delivery of the result to the clinician. It is also important to distinguish between what refers to the local context and what refers to the general context, by favouring the use of mixed methods to calculate costs. Finally, sensitivity analyses and periodic re-estimation of the costs of the techniques must be carried out in order to be able to revise the tariffs according to changes linked to the diffusion of the technology and to competition between reagent suppliers.
Collapse
Affiliation(s)
- Arnaud Bayle
- Gustave-Roussy, université Paris-Saclay, bureau biostatistique et épidémiologie, Villejuif, France; Inserm, université Paris-Saclay, CESP U1018 Oncostat, labelisé Ligue contre le cancer, Villejuif, France.
| | - Patricia Marino
- Institut Paoli-Calmettes, SESSTIM, équipe CAN-BIOS, Marseille, France
| | | | - Jennifer Margier
- Hospices civils de Lyon, service d'évaluation économique en santé (SEES), Lyon, France
| | - Julia Bonastre
- Gustave-Roussy, université Paris-Saclay, bureau biostatistique et épidémiologie, Villejuif, France; Inserm, université Paris-Saclay, CESP U1018 Oncostat, labelisé Ligue contre le cancer, Villejuif, France
| |
Collapse
|
7
|
Wang Y, Ding Q, Prokopec S, Farncombe KM, Bruce J, Casalino S, McCuaig J, Szybowska M, van Engelen K, Lerner-Ellis J, Pugh TJ, Kim RH. Germline whole genome sequencing in adults with multiple primary tumors. Fam Cancer 2023; 22:513-520. [PMID: 37481477 DOI: 10.1007/s10689-023-00343-2] [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: 01/18/2023] [Accepted: 06/27/2023] [Indexed: 07/24/2023]
Abstract
Multiple primary tumors (MPTs) are a harbinger of hereditary cancer syndromes. Affected individuals often fit genetic testing criteria for a number of hereditary cancer genes and undergo multigene panel testing. Other genomic testing options, such as whole exome (WES) and whole genome sequencing (WGS) are available, but the utility of these genomic approaches as a second-tier test for those with uninformative multigene panel testing has not been explored. Here, we report our germline sequencing results from WGS in 9 patients with MPTs who had non-informative multigene panel testing. Following germline WGS, sequence (agnostic or 735 selected genes) and copy number variant (CNV) analysis was performed according to the American College of Medical Genetics (ACMG) standards and guidelines for interpreting sequence variants and reporting CNVs. In this cohort, WGS, as a second-tier test, did not identify additional pathogenic or likely pathogenic variants in cancer predisposition genes. Although we identified a CHEK2 likely pathogenic variant and a MUTYH pathogenic variant, both were previously identified in the multigene panels and were not explanatory for the presented type of tumors. CNV analysis also failed to identify any pathogenic or likely pathogenic variants in cancer predisposition genes. In summary, after multigene panel testing, WGS did not reveal any additional pathogenic variants in patients with MPTs. Our study, based on a small cohort of patients with MPT, suggests that germline gene panel testing may be sufficient to investigate these cases. Future studies with larger sample sizes may further elucidate the additional utility of WGS in MPTs.
Collapse
Affiliation(s)
- Yiming Wang
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Qiliang Ding
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Stephenie Prokopec
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Kirsten M Farncombe
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Jeffrey Bruce
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Selina Casalino
- Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Jeanna McCuaig
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Marta Szybowska
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Kalene van Engelen
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- London Health Science Centre, London, Canada
- Medical Genetics Program of Southwestern Ontario, London Health Sciences Centre, London, ON, Canada
- Department of Pediatrics, Western University, London, ON, Canada
| | - Jordan Lerner-Ellis
- Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Trevor J Pugh
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Raymond H Kim
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
- Ontario Institute for Cancer Research, Toronto, ON, Canada.
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada.
- Mount Sinai Hospital, Sinai Health System, Toronto, ON, Canada.
- Department of Medicine, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
8
|
Cuppen E, Elemento O, Rosenquist R, Nikic S, IJzerman M, Zaleski ID, Frederix G, Levin LÅ, Mullighan CG, Buettner R, Pugh TJ, Grimmond S, Caldas C, Andre F, Custers I, Campo E, van Snellenberg H, Schuh A, Nakagawa H, von Kalle C, Haferlach T, Fröhling S, Jobanputra V. Implementation of Whole-Genome and Transcriptome Sequencing Into Clinical Cancer Care. JCO Precis Oncol 2022; 6:e2200245. [PMID: 36480778 PMCID: PMC10166391 DOI: 10.1200/po.22.00245] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/30/2022] [Accepted: 09/21/2022] [Indexed: 12/13/2022] Open
Abstract
PURPOSE The combination of whole-genome and transcriptome sequencing (WGTS) is expected to transform diagnosis and treatment for patients with cancer. WGTS is a comprehensive precision diagnostic test that is starting to replace the standard of care for oncology molecular testing in health care systems around the world; however, the implementation and widescale adoption of this best-in-class testing is lacking. METHODS Here, we address the barriers in integrating WGTS for cancer diagnostics and treatment selection and answer questions regarding utility in different cancer types, cost-effectiveness and affordability, and other practical considerations for WGTS implementation. RESULTS We review the current studies implementing WGTS in health care systems and provide a synopsis of the clinical evidence and insights into practical considerations for WGTS implementation. We reflect on regulatory, costs, reimbursement, and incidental findings aspects of this test. CONCLUSION WGTS is an appropriate comprehensive clinical test for many tumor types and can replace multiple, cascade testing approaches currently performed. Decreasing sequencing cost, increasing number of clinically relevant aberrations and discovery of more complex biomarkers of treatment response, should pave the way for health care systems and laboratories in implementing WGTS into clinical practice, to transform diagnosis and treatment for patients with cancer.
Collapse
Affiliation(s)
- Edwin Cuppen
- Hartwig Medical Foundation, Amsterdam, the Netherlands
- Center for Molecular Medicine and Oncode Institute, University Medical Center, Utrecht, the Netherlands
| | - Olivier Elemento
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Hospital, Solna, Sweden
| | - Svetlana Nikic
- Illumina Productos de España, S.L.U., Plaza Pablo Ruiz Picasso, Madrid, Spain
| | - Maarten IJzerman
- Erasmus School of Health Policy & Management, Erasmus University, Rotterdam, the Netherlands
- Centre for Cancer Research, University of Melbourne, Melbourne, Australia
| | - Isabelle Durand Zaleski
- Université de Paris, CRESS, INSERM, INRA, URCEco, AP-HP, Hôpital de l'Hôtel Dieu, Paris, France
| | - Geert Frederix
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, the Netherlands
| | - Lars-Åke Levin
- Department of Health, Medicine and Caring Sciences (HMV), Linköping University, Linköping, Sweden
| | | | | | - Trevor J. Pugh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Sean Grimmond
- Centre for Cancer Research, University of Melbourne, Melbourne, Australia
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute and Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | | | | | - Elias Campo
- Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red, Cáncer (CIBERONC), Madrid, Spain
- Hematopathology Unit, Hospital Clínic of Barcelona, Barcelona, Spain
- University of Barcelona, Barcelona, Spain
| | | | - Anna Schuh
- University of Oxford, Oxford, United Kingdom
| | - Hidewaki Nakagawa
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Christof von Kalle
- Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Clinical Study Center, Berlin, Germany
| | | | - Stefan Fröhling
- Division of Translational Medical Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Vaidehi Jobanputra
- New York Genome Center; Department of Pathology, Columbia University Irving Medical Center, New York, NY
| |
Collapse
|
9
|
Wolff HB, Steeghs EMP, Mfumbilwa ZA, Groen HJM, Adang EM, Willems SM, Grünberg K, Schuuring E, Ligtenberg MJL, Tops BBJ, Coupé VMH. Cost-Effectiveness of Parallel Versus Sequential Testing of Genetic Aberrations for Stage IV Non-Small-Cell Lung Cancer in the Netherlands. JCO Precis Oncol 2022; 6:e2200201. [PMID: 35834758 PMCID: PMC9307305 DOI: 10.1200/po.22.00201] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
PURPOSE A large number of targeted treatment options for stage IV nonsquamous non–small-cell lung cancer with specific genetic aberrations in tumor DNA is available. It is therefore important to optimize diagnostic testing strategies, such that patients receive adequate personalized treatment that improves survival and quality of life. The aim of this study is to assess the efficacy (including diagnostic costs, turnaround time (TAT), unsuccessful tests, percentages of correct findings, therapeutic costs, and therapeutic effectiveness) of parallel next generation sequencing (NGS)–based versus sequential single-gene–based testing strategies routinely used in patients with metastasized non–small-cell lung cancer in the Netherlands. METHODS A diagnostic microsimulation model was developed to simulate 100,000 patients with prevalence of genetic aberrations, extracted from real-world data from the Dutch Pathology Registry. These simulated patients were modeled to undergo different testing strategies composed of multiple tests with different test characteristics including single-gene and panel tests, test accuracy, the probability of an unsuccessful test, and TAT. Diagnostic outcomes were linked to a previously developed treatment model, to predict average long-term survival, quality-adjusted life-years (QALYs), costs, and cost-effectiveness of parallel versus sequential testing. RESULTS NGS-based parallel testing for all actionable genetic aberrations is on average €266 cheaper than single-gene–based sequential testing, and detects additional relevant targetable genetic aberrations in 20.5% of the cases, given a TAT of maximally 2 weeks. Therapeutic costs increased by €8,358, and 0.12 QALYs were gained, leading to an incremental cost-effectiveness ratio of €69,614/QALY for parallel versus sequential testing. CONCLUSION NGS-based parallel testing is diagnostically superior over single-gene–based sequential testing, as it is cheaper and more effective than sequential testing. Parallel testing remains cost-effective with an incremental cost-effectiveness ratio of 69,614 €/QALY upon inclusion of therapeutic costs and long-term outcomes.
Collapse
Affiliation(s)
- Henri B Wolff
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU Amsterdam, Amsterdam, the Netherlands
| | - Elisabeth M P Steeghs
- Department of Pathology, Radboudumc, Nijmegen, the Netherlands.,Department of Pathology, Antoni van Leeuwenhoek Hospital, the Netherlands Cancer Institute, Amsterdam, the Netherlands.,Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Zakile A Mfumbilwa
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU Amsterdam, Amsterdam, the Netherlands
| | - Harry J M Groen
- Department of Pulmonary Diseases, University of Groningen and University Medical Center Groningen, Groningen, the Netherlands
| | - Eddy M Adang
- Department of Epidemiology, Biostatistics and HTA, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Stefan M Willems
- Department of Pathology and Medical Biology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,PALGA Foundation, Houten, the Netherlands
| | | | - Ed Schuuring
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marjolijn J L Ligtenberg
- Department of Pathology, Radboudumc, Nijmegen, the Netherlands.,Department of Human Genetics, and Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Bastiaan B J Tops
- Princess Máxima Center for Pediatric Oncology, Bilthoven, the Netherlands
| | - Veerle M H Coupé
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU Amsterdam, Amsterdam, the Netherlands
| |
Collapse
|
10
|
Steeghs EM, Groen HJ, Schuuring E, Aarts MJ, Damhuis RA, Voorham QJ, consortium PATH, Ligtenberg MJ, Grünberg K. Mutation-tailored treatment selection in non-small cell lung cancer patients in daily clinical practice. Lung Cancer 2022; 167:87-97. [DOI: 10.1016/j.lungcan.2022.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 03/28/2022] [Accepted: 04/01/2022] [Indexed: 12/13/2022]
|
11
|
Cell-Free DNA at Diagnosis for Stage IV Non-Small Cell Lung Cancer: Costs, Time to Diagnosis and Clinical Relevance. Cancers (Basel) 2022; 14:cancers14071783. [PMID: 35406555 PMCID: PMC8997553 DOI: 10.3390/cancers14071783] [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: 02/22/2022] [Revised: 03/25/2022] [Accepted: 03/29/2022] [Indexed: 02/01/2023] Open
Abstract
Tissue biopsies can be burdensome and are only effective in 10–30% of patients with metastasized non-small-cell lung cancer (mNSCLC). Next-generation sequencing (NGS) on cell-free DNA (cfDNA) might be an attractive alternative. We evaluated the costs, throughput time, and diagnostic yield of two diagnostic scenarios with tissue and cfDNA for mNSCLC patients, compared to diagnostics based on tissue biopsy alone. Data were retrieved from 209 stage IV NSCLC patients included in 10 hospitals in the Netherlands in the observational Lung cancer Early Molecular Assessment (LEMA) trial. Discrete event simulation was developed to compare three scenarios, using LEMA data as input where possible: (1) diagnostics with “tissue only”; (2) diagnostics with “cfDNA first”, and subsequent tissue biopsy if required (negative for EGFR, BRAF ALK, ROS1); (3) cfDNA if tissue biopsy failed (“tissue first”). Scenario- and probabilistic analyses were performed to quantify uncertainty. In scenario 1, 84% (Credibility Interval [CrI] 70–94%) of the cases had a clinically relevant test result, compared to 93% (CrI 86–98%) in scenario 2, and 93% (CrI 86–99%) in scenario 3. The mean throughput time was 20 days (CrI 17–23) pp in scenario 1, 9 days (CrI 7–11) in scenario 2, and 19 days (CrI 16–22) in scenario 3. Mean costs were €2304 pp (CrI €2067–2507) in scenario 1, compared to €3218 (CrI €3071–3396) for scenario 2, and €2448 (CrI €2382–2506) for scenario 3. Scenarios 2 and 3 led to a reduction in tissue biopsies of 16% and 9%, respectively. In this process-based simulation analysis, the implementation of cfDNA for patients with mNSCLC resulted in faster completion of molecular profiling with more identified targets, with marginal extra costs in scenario 3.
Collapse
|
12
|
van de Ven M, IJzerman M, Retèl V, van Harten W, Koffijberg H. Developing a dynamic simulation model to support the nationwide implementation of whole genome sequencing in lung cancer. BMC Med Res Methodol 2022; 22:83. [PMID: 35350994 PMCID: PMC8962015 DOI: 10.1186/s12874-022-01571-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 03/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND This study shows how dynamic simulation modeling can be applied in the context of the nationwide implementation of Whole Genome Sequencing (WGS) for non-small cell lung cancer (NSCLC) to inform organizational decisions regarding the use of complex and disruptive health technologies and how these decisions affect their potential value. METHODS Using the case of the nationwide implementation of WGS into clinical practice in lung cancer in the Dutch healthcare system, we developed a simulation model to show that including service delivery features across the diagnostic pathway can provide essential insight into the affordability and accessibility of care at the systems level. The model was implemented as a hybrid Agent-Based Model and Discrete-Event Simulation model in AnyLogic and included 78 hospital agents, 7 molecular tumor board agents, 1 WGS facility agent, and 5313 patient agents each year in simulation time. RESULTS The model included patient and provider heterogeneity, including referral patterns, capacity constraints, and diagnostic workflows. Patient preference and adoption by healthcare professionals were also modeled. The model was used to analyze a scenario in which only academic hospitals have implemented WGS. To prevent delays in the diagnostic pathway, the capacity to sequence at least 1600 biopsies yearly should be present. There is a two-fold increase in mean diagnostic pathway duration between no patients referred or all patients referred for further diagnostics. CONCLUSIONS The systems model can complement conventional health economic evaluations to investigate how the organization of the workflow can influence the actual use and impact of WGS. Insufficient capacity to provide WGS and referral patterns can substantially impact the duration of the diagnostic pathway and thus should be considered in the implementation of WGS.
Collapse
Affiliation(s)
- Michiel van de Ven
- University of Twente, Department of Health Technology and Services Research, TechMed Centre, Enschede, the Netherlands
| | - Maarten IJzerman
- University of Twente, Department of Health Technology and Services Research, TechMed Centre, Enschede, the Netherlands.,University of Melbourne, University of Melbourne Centre for Cancer Research (UMCCR), Parkville, Australia.,Peter MacCallum Cancer Centre, Department of Cancer Research, Parkville, Australia.,University of Melbourne, Centre for Health Policy, Parkville, Australia
| | - Valesca Retèl
- University of Twente, Department of Health Technology and Services Research, TechMed Centre, Enschede, the Netherlands.,Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NKI-AVL), Amsterdam, the Netherlands
| | - Wim van Harten
- University of Twente, Department of Health Technology and Services Research, TechMed Centre, Enschede, the Netherlands.,Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital (NKI-AVL), Amsterdam, the Netherlands.,Rijnstate General Hospital, Arnhem, the Netherlands
| | - Hendrik Koffijberg
- University of Twente, Department of Health Technology and Services Research, TechMed Centre, Enschede, the Netherlands.
| |
Collapse
|
13
|
Berglund E, Barbany G, Orsmark-Pietras C, Fogelstrand L, Abrahamsson J, Golovleva I, Hallböök H, Höglund M, Lazarevic V, Levin LÅ, Nordlund J, Norèn-Nyström U, Palle J, Thangavelu T, Palmqvist L, Wirta V, Cavelier L, Fioretos T, Rosenquist R. A Study Protocol for Validation and Implementation of Whole-Genome and -Transcriptome Sequencing as a Comprehensive Precision Diagnostic Test in Acute Leukemias. Front Med (Lausanne) 2022; 9:842507. [PMID: 35402448 PMCID: PMC8987911 DOI: 10.3389/fmed.2022.842507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/17/2022] [Indexed: 12/11/2022] Open
Abstract
Background Whole-genome sequencing (WGS) and whole-transcriptome sequencing (WTS), with the ability to provide comprehensive genomic information, have become the focal point of research interest as novel techniques that can support precision diagnostics in routine clinical care of patients with various cancer types, including hematological malignancies. This national multi-center study, led by Genomic Medicine Sweden, aims to evaluate whether combined application of WGS and WTS (WGTS) is technically feasible and can be implemented as an efficient diagnostic tool in patients with acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). In addition to clinical impact assessment, a health-economic evaluation of such strategy will be performed. Methods and Analysis The study comprises four phases (i.e., retrospective, prospective, real-time validation, and follow-up) including approximately 700 adult and pediatric Swedish AML and ALL patients. Results of WGS for tumor (90×) and normal/germline (30×) samples as well as WTS for tumors only will be compared to current standard of care diagnostics. Primary study endpoints are diagnostic efficiency and improved diagnostic yield. Secondary endpoints are technical and clinical feasibility for routine implementation, clinical utility, and health-economic impact. Discussion Data from this national multi-center study will be used to evaluate clinical performance of the integrated WGTS diagnostic workflow compared with standard of care. The study will also elucidate clinical and health-economic impacts of a combined WGTS strategy when implemented in routine clinical care. Clinical Trial Registration [https://doi.org/10.1186/ISRCTN66987142], identifier [ISRCTN66987142].
Collapse
Affiliation(s)
- Eva Berglund
- Department of Immunology, Genetics and Pathology, Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Gisela Barbany
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Hospital, Solna, Sweden
| | - Christina Orsmark-Pietras
- Department of Clinical Genetics and Pathology, Office for Medical Services, Division of Laboratory Medicine, Lund, Sweden
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
- Clinical Genomics Lund, Science for Life Laboratory, Lund University, Lund, Sweden
| | - Linda Fogelstrand
- Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, Clinical Genomics Gothenburg, Science for Life Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Jonas Abrahamsson
- Clinical Sciences, Queen Silvias Childrens Hospital, Gothenburg, Sweden
| | - Irina Golovleva
- Department of Medical Biosciences, University of Umeå, Umeå, Sweden
| | - Helene Hallböök
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Martin Höglund
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Vladimir Lazarevic
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Lars-Åke Levin
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Jessica Nordlund
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Josefine Palle
- Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
| | - Tharshini Thangavelu
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Lars Palmqvist
- Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, Clinical Genomics Gothenburg, Science for Life Laboratory, University of Gothenburg, Gothenburg, Sweden
| | - Valtteri Wirta
- Department of Microbiology, Tumor and Cell Biology, Clinical Genomics Stockholm, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden
| | - Lucia Cavelier
- Department of Immunology, Genetics and Pathology, Clinical Genomics Uppsala, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Thoas Fioretos
- Department of Clinical Genetics and Pathology, Office for Medical Services, Division of Laboratory Medicine, Lund, Sweden
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
- Clinical Genomics Lund, Science for Life Laboratory, Lund University, Lund, Sweden
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Hospital, Solna, Sweden
- *Correspondence: Richard Rosenquist,
| |
Collapse
|
14
|
Jongeneel G, Greuter MJE, Kunst N, van Erning FN, Koopman M, Medema JP, Vermeulen L, Ijzermans JNM, Vink GR, Punt CJA, Coupé VMH. Early Cost-effectiveness Analysis of Risk-Based Selection Strategies for Adjuvant Treatment in Stage II Colon Cancer: The Potential Value of Prognostic Molecular Markers. Cancer Epidemiol Biomarkers Prev 2021; 30:1726-1734. [PMID: 34162659 DOI: 10.1158/1055-9965.epi-21-0078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 03/28/2021] [Accepted: 06/09/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND To explore the potential value of consensus molecular subtypes (CMS) in stage II colon cancer treatment selection, we carried out an early cost-effectiveness assessment of a CMS-based strategy for adjuvant chemotherapy. METHODS We used a Markov cohort model to evaluate three selection strategies: (i) the Dutch guideline strategy (MSS+pT4), (ii) the mutation-based strategy (MSS plus a BRAF and/or KRAS mutation or MSS plus pT4), and (iii) the CMS-based strategy (CMS4 or pT4). Outcomes were number of colon cancer deaths per 1,000 patients, total discounted costs per patient (pp), and quality-adjusted life-years (QALY) pp. The analyses were conducted from a Dutch societal perspective. The robustness of model predictions was assessed in sensitivity analyses. To evaluate the value of future research, we performed a value of information (VOI) analysis. RESULTS The Dutch guideline strategy resulted in 8.10 QALYs pp and total costs of €23,660 pp. The CMS-based and mutation-based strategies were more effective and more costly, with 8.12 and 8.13 QALYs pp and €24,643 and €24,542 pp, respectively. Assuming a threshold of €50,000/QALY, the mutation-based strategy was considered as the optimal strategy in an incremental analysis. However, the VOI analysis showed substantial decision uncertainty driven by the molecular markers (expected value of partial perfect information: €18M). CONCLUSIONS On the basis of current evidence, our analyses suggest that the mutation-based selection strategy would be the best use of resources. However, the extensive decision uncertainty for the molecular markers does not allow selection of an optimal strategy at present. IMPACT Future research is needed to eliminate decision uncertainty driven by molecular markers.
Collapse
Affiliation(s)
- Gabrielle Jongeneel
- Department of Epidemiology and Data Science, Amsterdam UMC, VU University, Amsterdam, the Netherlands.
| | - Marjolein J E Greuter
- Department of Epidemiology and Data Science, Amsterdam UMC, VU University, Amsterdam, the Netherlands
| | - Natalia Kunst
- Department of Epidemiology and Data Science, Amsterdam UMC, VU University, Amsterdam, the Netherlands.,Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, Massachusetts.,Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale University School of Medicine, New Haven, Connecticut.,Public Health Modeling Unit, Yale University School of Public Health, New Haven, Connecticut
| | - Felice N van Erning
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands
| | - Miriam Koopman
- University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jan P Medema
- Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, Center for Experimental Molecular Medicine (CEMM), Amsterdam, the Netherlands.,Oncode Institute, Amsterdam, the Netherlands
| | - Louis Vermeulen
- Amsterdam UMC, University of Amsterdam, Cancer Center Amsterdam, Center for Experimental Molecular Medicine (CEMM), Amsterdam, the Netherlands.,Oncode Institute, Amsterdam, the Netherlands
| | - Jan N M Ijzermans
- Department of General Surgery, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Geraldine R Vink
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands.,University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Cornelis J A Punt
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
| | - Veerle M H Coupé
- Department of Epidemiology and Data Science, Amsterdam UMC, VU University, Amsterdam, the Netherlands
| |
Collapse
|
15
|
Simons M, Van De Ven M, Coupé V, Joore M, IJzerman M, Koffijberg E, Frederix G, Uyl-De Groot C, Cuppen E, Van Harten W, Retèl V. Early technology assessment of using whole genome sequencing in personalized oncology. Expert Rev Pharmacoecon Outcomes Res 2021; 21:343-351. [PMID: 33910430 DOI: 10.1080/14737167.2021.1917386] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Introduction: Personalized medicine-based treatments in advanced cancer hold the promise to offer substantial health benefits to genetic subgroups, but require efficient biomarker-based patient stratification to match the right treatment and may be expensive. Standard molecular diagnostics are currently very heterogeneous, and tests are often performed sequentially. The alternative to whole genome sequencing (WGS) i.e. simultaneously testing for all relevant DNA-based biomarkers thereby allowing immediate selection of the most optimal therapy, is more costly than current techniques. In the current implementation stage, it is important to explore the added value and cost-effectiveness of using WGS on a patient level and to assess optimal introduction of WGS on the level of the healthcare system.Areas covered: First, an overview of current worldwide initiatives concerning the use of WGS in clinical practice for cancer diagnostics is given. Second, a comprehensive, early health technology assessment (HTA) approach of evaluating WGS in the Netherlands is described, relating to the following aspects: diagnostic value, WGS-based treatment decisions, assessment of long-term health benefits and harms, early cost-effectiveness modeling, nation-wide organization, and Ethical, Legal and Societal Implications.Expert opinion: This study provides evidence to guide further development and implementation of WGS in clinical practice and the healthcare system.
Collapse
Affiliation(s)
- Martijn Simons
- Department of Clinical Epidemiology and Medical Technology Assessment, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Michiel Van De Ven
- Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Veerle Coupé
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Manuela Joore
- Department of Clinical Epidemiology and Medical Technology Assessment, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Maarten IJzerman
- Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands.,University of Melbourne Centre for Cancer Research, Melbourne Australia
| | - Erik Koffijberg
- Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Geert Frederix
- Division of Pharmacoepidemiology and Clinical Pharmacology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Carin Uyl-De Groot
- Erasmus School of Health Policy & Management (ESHPM), Erasmus University, Rotterdam, The Netherlands
| | - Edwin Cuppen
- Center for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht, The Netherlands.,Hartwig Medical Foundation, Amsterdam, The Netherlands
| | - Wim Van Harten
- Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands.,Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute.,Executive Board, Rijnstate General Hospital, Arnhem, The Netherlands
| | - Valesca Retèl
- Health Technology and Services Research Department, Technical Medical Centre, University of Twente, Enschede, The Netherlands.,Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute
| |
Collapse
|