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Zalis M, Viana Veloso GG, Aguiar Jr. PN, Gimenes N, Reis MX, Matsas S, Ferreira CG. Next-generation sequencing impact on cancer care: applications, challenges, and future directions. Front Genet 2024; 15:1420190. [PMID: 39045325 PMCID: PMC11263191 DOI: 10.3389/fgene.2024.1420190] [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: 04/19/2024] [Accepted: 06/13/2024] [Indexed: 07/25/2024] Open
Abstract
Fundamentally precision oncology illustrates the path in which molecular profiling of tumors can illuminate their biological behavior, diversity, and likely outcomes by identifying distinct genetic mutations, protein levels, and other biomarkers that underpin cancer progression. Next-generation sequencing became an indispensable diagnostic tool for diagnosis and treatment guidance in current clinical practice. Nowadays, tissue analysis benefits from further support through methods like comprehensive genomic profiling and liquid biopsies. However, precision medicine in the field of oncology presents specific hurdles, such as the cost-benefit balance and widespread accessibility, particularly in countries with low- and middle-income. A key issue is how to effectively extend next-generation sequencing to all cancer patients, thus empowering treatment decision-making. Concerns also extend to the quality and preservation of tissue samples, as well as the evaluation of health technologies. Moreover, as technology advances, novel next-generation sequencing assessments are being developed, including the study of Fragmentomics. Therefore, our objective was to delineate the primary uses of next-generation sequencing, discussing its' applications, limitations, and prospective paths forward in Oncology.
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Affiliation(s)
- Mariano Zalis
- Oncoclínicas&Co/MedSir, Rio de Janeiro, Brazil
- Medical School of the Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gilson Gabriel Viana Veloso
- Oncoclínicas&Co/MedSir, Rio de Janeiro, Brazil
- Santa Casa de Misericórdia de Belo Horizonte, Belo Horizonte, Brazil
| | | | | | | | - Silvio Matsas
- Centro de Estudos e Pesquisas de Hematologia e Oncologia (CEPHO), Sao Paulo, Brazil
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Amaral Duarte F, Aguiar Junior PN, Dienstmann R, Ferreira CG. Precision medicine in Thoracic Oncology: understanding disparities to tackle inequities in access. Expert Rev Pharmacoecon Outcomes Res 2023; 23:981-987. [PMID: 37750550 DOI: 10.1080/14737167.2023.2260563] [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: 05/16/2023] [Accepted: 09/12/2023] [Indexed: 09/27/2023]
Abstract
INTRODUCTION Precision medicine is defined as personalized interventions fitted to patients' or tumors' characteristics. Patients diagnosed with different neoplasms have benefited from a personalized therapeutic approach in terms of response and survival. However, several challenges must be addressed for precision oncology to become a global reality. Access to genomic testing that allows biomarker identification is a main issue. AREAS COVERED A nonsystematic literature review about inequities in access to molecular genetic testing, focusing on lung cancer as the prominent example, was performed by a group of expert clinical oncologists. EXPERT OPINION Access to molecular tests and their matched treatments differ between regions of the world and even among diverse populations in the same country. Socioeconomic characteristics are often strongly correlated with this disparity. Furthermore, although the cost is a determinant factor for inequality, other issues have been recognized. Advances in the education of healthcare professionals, patient advocacy initiatives, building local laboratory workstreams, and promoting favorable regulatory environment are vital factors in promoting equal access.
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Affiliation(s)
| | - Pedro Nazareth Aguiar Junior
- Department of Clinical Oncology, Grupo Oncoclínicas, São Paulo, SP, Brazil
- Department of Clinical Oncology, Faculdade de Medicina do ABC, Santo André, SP, Brazil
| | - Rodrigo Dienstmann
- Department of Clinical Oncology, Grupo Oncoclínicas, São Paulo, SP, Brazil
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Simons MJHG, Uyl-de Groot CA, Retèl VP, Mankor JM, Ramaekers BLT, Joore MA, van Harten WH. Cost-Effectiveness and Budget Impact of Future Developments With Whole-Genome Sequencing for Patients With Lung Cancer. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:71-80. [PMID: 35973926 DOI: 10.1016/j.jval.2022.07.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 06/19/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVES This study aimed to investigate the cost-effectiveness, budget impact (BI), and impact of uncertainty of future developments concerning whole-genome sequencing (WGS) as a clinical diagnostic test compared with standard of care (SoC) in patients with locally advanced and metastatic non-small cell lung cancer. METHODS A total of 3 likely scenarios to take place within 5 years (according to experts) were simulated using a previously developed, peer reviewed, and published decision model. The scenarios concerned "WGS results used for treatment selection" (scenario 1), "WGS-based biomarker for immunotherapy" (scenario 2), and "off-label drug approval for WGS results" (scenario 3). Two diagnostic strategies of the original model, "SoC" and "WGS as a diagnostic test" (base model), were used to compare our scenarios with. Outcomes were reported for the base model, all scenarios separately, combined (combined unweighted), and weighted by likelihood (combined weighted). Cost-effectiveness, BI, and value of information analyses were performed for WGS compared with SoC. RESULTS Total costs and quality-adjusted life-years for SoC in metastatic non-small cell lung cancer were €149 698 and 1.235. Incremental outcomes of WGS were €1529/0.002(base model), -€222/0.020(scenario 1), -€2576/0.023(scenario 2), €388/0.024(scenario 3), -€5041/0.060(combined unweighted), and -€1715/0.029(combined weighted). The annual BI for adopting WGS for this population in The Netherlands ranged between €682 million (combined unweighted) and €714 million (base model). The consequences of uncertainty amounted to €3.4 million for all scenarios (combined weighted) and to €699 000 for the diagnostic yield of WGS alone (combined weighted). CONCLUSIONS Our findings suggest that it is likely for WGS to become cost-effective within the near future if it identifies more patients with actionable targets and show the impact of uncertainty regarding its diagnostic yield. Modeling future scenarios can be useful to consider early adoption of WGS while timely anticipating on unforeseen developments before final conclusions are reached.
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Affiliation(s)
- 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, Maastricht University, Maastricht, The Netherlands
| | - Carin A Uyl-de Groot
- Erasmus School of Health Policy and Management/Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Valesca P Retèl
- Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute-Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands; Department of Health Technology and Services Research, University of Twente, Enschede, The Netherlands
| | - Joanne M Mankor
- Department of Pulmonary Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Bram L T Ramaekers
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, The Netherlands; Care And Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Manuela A Joore
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, The Netherlands; Care And Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
| | - Wim H van Harten
- Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute-Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands; Department of Health Technology and Services Research, University of Twente, Enschede, The Netherlands
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Conrads-Frank A, Schnell-Inderst P, Neusser S, Hallsson LR, Stojkov I, Siebert S, Kühne F, Jahn B, Siebert U, Sroczynski G. Decision-analytic modeling for early health technology assessment of medical devices - a scoping review. GERMAN MEDICAL SCIENCE : GMS E-JOURNAL 2022; 20:Doc11. [PMID: 36742459 PMCID: PMC9869403 DOI: 10.3205/000313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Indexed: 02/07/2023]
Abstract
Objective The goal of this review was to identify decision-analytic modeling studies in early health technology assessments (HTA) of high-risk medical devices, published over the last three years, and to provide a systematic overview of model purposes and characteristics. Additionally, the aim was to describe recent developments in modeling techniques. Methods For this scoping review, we performed a systematic literature search in PubMed and Embase including studies published in English or German. The search code consisted of terms describing early health technology assessment and terms for decision-analytic models. In abstract and full-text screening, studies were excluded that were not modeling studies for a high-risk medical device or an in-vitro diagnostic test. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram was used to report on the search and exclusion of studies. For all included studies, study purpose, framework and model characteristics were extracted and reported in systematic evidence tables and a narrative summary. Results Out of 206 identified studies, 19 studies were included in the review. Studies were either conducted for hypothetical devices or for existing devices after they were already available on the market. No study extrapolated technical data from early development stages to estimate potential value of devices in development. All studies except one included cost as an outcome. Two studies were budget impact analyses. Most studies aimed at adoption and reimbursement decisions. The majority of studies were on in-vitro diagnostic tests for personalized and targeted medicine. A timed automata model, to our knowledge a model type new to HTA, was tested by one study. It describes the agents in a clinical pathway in separate models and, by allowing for interaction between the models, can reflect complex individual clinical pathways and dynamic system interactions. Not all sources of uncertainty for in-vitro tests were explicitly modeled. Elicitation of expert knowledge and judgement was used for substitution of missing empirical data. Analysis of uncertainty was the most valuable strength of decision-analytic models in early HTA, but no model applied sensitivity analysis to optimize the test positivity cutoff with regard to the benefit-harm balance or cost-effectiveness. Value-of-information analysis was rarely performed. No information was found on the use of causal inference methods for estimation of effect parameters from observational data. Conclusion Our review provides an overview of the purposes and model characteristics of nineteen recent early evaluation studies on medical devices. The review shows the growing importance of personalized interventions and confirms previously published recommendations for careful modeling of uncertainties surrounding diagnostic devices and for increased use of value-of-information analysis. Timed automata may be a model type worth exploring further in HTA. In addition, we recommend to extend the application of sensitivity analysis to optimize positivity criteria for in-vitro tests with regard to benefit-harm or cost-effectiveness. We emphasize the importance of causal inference methods when estimating effect parameters from observational data.
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Affiliation(s)
- Annette Conrads-Frank
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Hall i. T., Austria
| | - Petra Schnell-Inderst
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Hall i. T., Austria
| | - Silke Neusser
- Alfried Krupp von Bohlen and Halbach Foundation Endowed Chair for Medicine Management, University of Duisburg-Essen, Essen, Germany
| | - Lára R. Hallsson
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Hall i. T., Austria
| | - Igor Stojkov
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Hall i. T., Austria
| | - Silke Siebert
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Hall i. T., Austria
| | - Felicitas Kühne
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Hall i. T., Austria
| | - Beate Jahn
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Hall i. T., Austria
| | - Uwe Siebert
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Hall i. T., Austria,Center for Health Decision Science, Departments of Epidemiology and Health Policy & Management, Harvard T. H. Chan School of Public Health, Boston, MA, USA,Institute for Technology Assessment and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA,Division of Health Technology Assessment, ONCOTYROL – Center for Personalized Cancer Medicine, Innsbruck, Austria,*To whom correspondence should be addressed: Uwe Siebert, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Eduard-Wallnoefer-Zentrum 1, 6060 Hall i. T., Austria, Phone: +43 50 8648-3930, Twitter: @UweSiebert9, Linkedin: uwe-siebert9, E-mail:
| | - Gabi Sroczynski
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL – University for Health Sciences and Technology, Hall i. T., Austria
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Aide N, Weyts K, Lasnon C. Prediction of the Presence of Targetable Molecular Alteration(s) with Clinico-Metabolic 18 F-FDG PET Radiomics in Non-Asian Lung Adenocarcinoma Patients. Diagnostics (Basel) 2022; 12:diagnostics12102448. [PMID: 36292136 PMCID: PMC9601118 DOI: 10.3390/diagnostics12102448] [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: 09/12/2022] [Revised: 09/30/2022] [Accepted: 10/07/2022] [Indexed: 11/16/2022] Open
Abstract
This study aimed to investigate if combining clinical characteristics with pre-therapeutic 18 F-fluorodeoxyglucose (18 F-FDG) positron emission tomography (PET) radiomics could predict the presence of molecular alteration(s) in key molecular targets in lung adenocarcinoma. This non-interventional monocentric study included patients with newly diagnosed lung adenocarcinoma referred for baseline PET who had tumour molecular analyses. The data were randomly split into training and test datasets. LASSO regression with 100-fold cross-validation was performed, including sex, age, smoking history, AJCC cancer stage and 31 PET variables. In total, 109 patients were analysed, and it was found that 63 (57.8%) patients had at least one molecular alteration. Using the training dataset (n = 87), the model included 10 variables, namely age, sex, smoking history, AJCC stage, excessKustosis_HISTO, sphericity_SHAPE, variance_GLCM, correlation_GLCM, LZE_GLZLM, and GLNU_GLZLM. The ROC analysis for molecular alteration prediction using this model found an AUC equal to 0.866 (p < 0.0001). A cut-off value set to 0.48 led to a sensitivity of 90.6% and a positive likelihood ratio (LR+) value equal to 2.4. After application of this cut-off value in the unseen test dataset of patients (n = 22), the test presented a sensitivity equal to 90.0% and an LR+ value of 1.35. A clinico-metabolic 18 F-FDG PET phenotype allows the detection of key molecular target alterations with high sensitivity and negative predictive value. Hence, it opens the way to the selection of patients for molecular analysis.
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Affiliation(s)
- Nicolas Aide
- UNICAEN, INSERM 1086 ANTICIPE, Normandy University, 14000 Caen, France
| | - Kathleen Weyts
- Nuclear Medicine Department, Comprehensive Cancer Centre F. Baclesse, UNICANCER, 14000 Caen, France
| | - Charline Lasnon
- UNICAEN, INSERM 1086 ANTICIPE, Normandy University, 14000 Caen, France
- Nuclear Medicine Department, Comprehensive Cancer Centre F. Baclesse, UNICANCER, 14000 Caen, France
- Correspondence: ; Tel.: +33-261-455-268; Fax: +33-231-455-101
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Puccini A, Seeber A, Berger MD. Biomarkers in Metastatic Colorectal Cancer: Status Quo and Future Perspective. Cancers (Basel) 2022; 14:4828. [PMID: 36230751 PMCID: PMC9564318 DOI: 10.3390/cancers14194828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/20/2022] [Accepted: 09/28/2022] [Indexed: 11/16/2022] Open
Abstract
Colorectal cancer (CRC) is the third most frequent cancer worldwide, and its incidence is steadily increasing. During the last two decades, a tremendous improvement in outcome has been achieved, mainly due to the introduction of novel drugs, targeted treatment, immune checkpoint inhibitors (CPIs) and biomarker-driven patient selection. Moreover, progress in molecular diagnostics but also improvement in surgical techniques and local ablative treatments significantly contributed to this success. However, novel therapeutic approaches are needed to further improve outcome in patients diagnosed with metastatic CRC. Besides the established biomarkers for mCRC, such as microsatellite instability (MSI) or mismatch repair deficiency (dMMR), RAS/BRAF, sidedness and HER2 amplification, new biomarkers have to be identified to better select patients who derive the most benefit from a specific treatment. In this review, we provide an overview about therapeutic relevant and established biomarkers but also shed light on potential promising markers that may help us to better tailor therapy to the individual mCRC patient in the near future.
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Affiliation(s)
- Alberto Puccini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), School of Medicine, University of Genoa, 16132 Genoa, Italy
| | - Andreas Seeber
- Department of Hematology and Oncology, Comprehensive Cancer Center Innsbruck, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Martin D Berger
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
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Cross B, Turner R, Pirmohamed M. Polygenic risk scores: An overview from bench to bedside for personalised medicine. Front Genet 2022; 13:1000667. [PMID: 36437929 PMCID: PMC9692112 DOI: 10.3389/fgene.2022.1000667] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 10/24/2022] [Indexed: 11/13/2022] Open
Abstract
Since the first polygenic risk score (PRS) in 2007, research in this area has progressed significantly. The increasing number of SNPs that have been identified by large scale GWAS analyses has fuelled the development of a myriad of PRSs for a wide variety of diseases and, more recently, to PRSs that potentially identify differential response to specific drugs. PRSs constitute a composite genomic biomarker and potential applications for PRSs in clinical practice encompass risk prediction and disease screening, early diagnosis, prognostication, and drug stratification to improve efficacy or reduce adverse drug reactions. Nevertheless, to our knowledge, no PRSs have yet been adopted into routine clinical practice. Beyond the technical considerations of PRS development, the major challenges that face PRSs include demonstrating clinical utility and circumnavigating the implementation of novel genomic technologies at scale into stretched healthcare systems. In this review, we discuss progress in developing disease susceptibility PRSs across multiple medical specialties, development of pharmacogenomic PRSs, and future directions for the field.
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Affiliation(s)
- Benjamin Cross
- The Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Richard Turner
- The Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Munir Pirmohamed
- The Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, United Kingdom
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Biomarker Testing in Older Patients Treated for an Advanced or Metastatic Non-Squamous Non-Small-Cell Lung Cancer: The French ESME Real-Life Multicenter Cohort Experience. Cancers (Basel) 2021; 14:cancers14010092. [PMID: 35008257 PMCID: PMC8750267 DOI: 10.3390/cancers14010092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/18/2021] [Accepted: 12/21/2021] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Genomic and immunologic tumor biomarker testing has dramatically changed the prognosis of patients treated for advanced/metastatic non-squamous non-small-cell lung cancer (aNSCLC). In older patients, targeted therapy and immunotherapy appear attractive considering better tolerance and increased survival. However, it remains unclear whether they have access to biomarker testing techniques in the same proportion as younger patients. The aim of our retrospective study was to compare the proportion of biomarker testing performed in non-squamous aNSCLC at diagnosis between patients aged ≥70 years old and their younger counterparts. There was no significant difference between the two age groups in terms of frequency of biomarker testing. Among old patients tested, 22% of them presented an EGFR mutation. Biomarker testing is a crucial diagnostic tool for older patients with aNSCLC in whom the newer anti-EGFR agents have shown clear benefits. Abstract Background: Genomic and immunologic tumor biomarker testing has dramatically changed the prognosis of patients, particularly those treated for advanced/metastatic non-squamous non-small-cell lung cancer (aNSCLC) when access to targeted agents is available. It remains unclear whether older patients have access to therapy-predictive biomarker testing techniques in the same proportion as younger patients. This study aims to compare the proportion of biomarker testing performed in non-squamous aNSCLC at diagnosis between patients aged ≥70 years old and their younger counterparts. Methods: We conducted a retrospective analysis using the Epidemio-Strategy and Medical Economics (ESME) Advanced or Metastatic Lung Cancer Data Platform, a French multicenter real-life database. All patients with non-squamous aNSCLC diagnosed between 2015 and 2018 were selected. Biomarker testing corresponded to at least one molecular alteration and/or PD-L1 testing performed within 1 month before or 3 months after the aNSCLC diagnosis. Results: In total, 2848 patients aged ≥70 years and 6900 patients aged <70 years were included. Most patients were male. The proportion of current smokers at diagnosis was higher in the <70 years group (42% vs. 17%, p < 0.0001). There was no significant difference in the proportion of biomarker testing performed between the two groups (63% vs. 65%, p = 0.15). EGFR mutations were significantly more common in the older group (22% vs. 12%, p < 0.0001) and KRAS mutations significantly more frequent in the younger group (39% vs. 31% p < 0.0001). The distribution of other driver mutations (ALK, ROS1, BRAF V600E, HER2, and MET) was similar across age. In the multivariable analysis, factors independently associated with biomarker testing were gender, smoking status, history of COPD, stage at primary diagnosis, and histological type. Conclusions: Age is not a barrier to biomarker testing in patients with aNSCLC.
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Henderson R, Keeling P, French D, Smart D, Sullivan R, Lawler M. Cost-effectiveness of precision diagnostic testing for precision medicine approaches against non-small-cell lung cancer: A systematic review. Mol Oncol 2021; 15:2672-2687. [PMID: 34110679 PMCID: PMC8486593 DOI: 10.1002/1878-0261.13038] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 05/10/2021] [Accepted: 06/09/2021] [Indexed: 11/11/2022] Open
Abstract
Precision diagnostic testing (PDT) employs appropriate biomarkers to identify cancer patients that may optimally respond to precision medicine (PM) approaches, such as treatments with targeted agents and immuno-oncology drugs. To date, there are no published systematic appraisals evaluating the cost-effectiveness of PDT in non-small-cell lung cancer (NSCLC). To address this gap, we conducted Preferred Reporting Items for Systematic Reviews and Meta-Analyses searches for the years 2009-2019. Consolidated Health Economic Evaluation Reporting Standards were employed to screen, assess and extract data. Employing base costs, life years gained or quality-adjusted life years, as well as willingness-to-pay (WTP) threshold for each country, net monetary benefit was calculated to determine cost-effectiveness of each intervention. Thirty-seven studies (50%) were included for analysis; a further 37 (50%) were excluded, having failed population-, intervention-, comparator-, outcomes- and study-design criteria. Within the 37 studies included, we defined 64 scenarios. Eleven scenarios compared PDT-guided PM with non-guided therapy [epidermal growth factor receptor (EGFR), n = 5; programmed death-ligand 1 (PD-L1), n = 6]. Twenty-eight scenarios compared PDT-guided PM with chemotherapy alone (anaplastic lymphoma kinase, n = 3; EGFR, n = 17; PD-L1, n = 8). Twenty-five scenarios compared PDT-guided PM with chemotherapy alone, while varying the PDT approach. Thirty-four scenarios (53%) were cost-effective, 28 (44%) were not cost-effective, and two were marginal, dependent on their country's WTP threshold. When PDT-guided therapy was compared with a therapy-for-all patients approach, all scenarios (100%) proved cost-effective. Seven of 37 studies had been structured appropriately to assess PDT-PM cost-effectiveness. Within these seven studies, all evaluated scenarios were cost-effective. However, 81% of studies had been poorly designed. Our systematic analysis implies that more robust health economic evaluation could help identify additional approaches towards PDT cost-effectiveness, underpinning value-based care and enhanced outcomes for patients with NSCLC.
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Affiliation(s)
| | | | - Declan French
- Queen’s Management SchoolQueen’s University BelfastUK
| | | | - Richard Sullivan
- Institute of Cancer PolicyKing’s College London & King’s Health Partners Comprehensive Cancer CentreUK
| | - Mark Lawler
- Patrick G. Johnston Centre for Cancer ResearchQueen’s University BelfastUK
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Stenzinger A, Edsjö A, Ploeger C, Friedman M, Fröhling S, Wirta V, Seufferlein T, Botling J, Duyster J, Akhras M, Thimme R, Fioretos T, Bitzer M, Cavelier L, Schirmacher P, Malek N, Rosenquist R. Trailblazing precision medicine in Europe: A joint view by Genomic Medicine Sweden and the Centers for Personalized Medicine, ZPM, in Germany. Semin Cancer Biol 2021; 84:242-254. [PMID: 34033893 DOI: 10.1016/j.semcancer.2021.05.026] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 05/18/2021] [Indexed: 12/13/2022]
Abstract
Over the last decades, rapid technological and scientific advances have led to a merge of molecular sciences and clinical medicine, resulting in a better understanding of disease mechanisms and the development of novel therapies that exploit specific molecular lesions or profiles driving disease. Precision oncology is here used as an example, illustrating the potential of precision/personalized medicine that also holds great promise in other medical fields. Real-world implementation can only be achieved by dedicated healthcare connected centers which amass and build up interdisciplinary expertise reflecting the complexity of precision medicine. Networks of such centers are ideally suited for a nation-wide outreach offering access to precision medicine to patients independent of their place of residence. Two of these multicentric initiatives, Genomic Medicine Sweden (GMS) and the Centers for Personalized Medicine (ZPM) initiative in Germany have teamed up to present and share their views on core concepts, potentials, challenges, and future developments in precision medicine. Together with other initiatives worldwide, GMS and ZPM aim at providing a robust and sustainable framework, covering all components from technology development to clinical trials, ethical and legal aspects as well as involvement of all relevant stakeholders, including patients and policymakers in the field.
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Affiliation(s)
- Albrecht Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany; Centers for Personalized Medicine (ZPM) Baden-Wuerttemberg, Germany.
| | - Anders Edsjö
- Department of Clinical Genetics and Pathology, Office for Medical Services, Region Skåne, Lund, Sweden; Genomic Medicine Sweden (GMS), Sweden.
| | - Carolin Ploeger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany; Centers for Personalized Medicine (ZPM) Baden-Wuerttemberg, Germany
| | - Mikaela Friedman
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Genomic Medicine Sweden (GMS), Sweden
| | - Stefan Fröhling
- Department of Translational Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany; Centers for Personalized Medicine (ZPM) Baden-Wuerttemberg, Germany
| | - Valtteri Wirta
- Department of Microbiology, Tumor and Cell Biology, Clinical Genomics Facility, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden; Genomic Medicine Sweden (GMS), Sweden
| | - Thomas Seufferlein
- Department of Internal Medicine I, University of Ulm, Ulm, Germany; Centers for Personalized Medicine (ZPM) Baden-Wuerttemberg, Germany
| | - Johan Botling
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Genomic Medicine Sweden (GMS), Sweden
| | - Justus Duyster
- Department of Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany; Centers for Personalized Medicine (ZPM) Baden-Wuerttemberg, Germany
| | - Michael Akhras
- Department of Microbiology, Tumor and Cell Biology, Clinical Genomics Facility, Science for Life Laboratory, Karolinska Institutet, Solna, Sweden; Genomic Medicine Sweden (GMS), Sweden
| | - Robert Thimme
- Department of Medicine II, University Medical Center, Freiburg, Germany; Centers for Personalized Medicine (ZPM) Baden-Wuerttemberg, Germany
| | - Thoas Fioretos
- Department of Laboratory Medicine, Division of Clinical Genetics, Lund University, Lund, Sweden; Genomic Medicine Sweden (GMS), Sweden
| | - Michael Bitzer
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany; Centers for Personalized Medicine (ZPM) Baden-Wuerttemberg, Germany
| | - Lucia Cavelier
- Medical Genetics and Genomics, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Genomic Medicine Sweden (GMS), Sweden
| | - Peter Schirmacher
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany; Centers for Personalized Medicine (ZPM) Baden-Wuerttemberg, Germany
| | - Nisar Malek
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany; Centers for Personalized Medicine (ZPM) Baden-Wuerttemberg, Germany
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden; Genomic Medicine Sweden (GMS), Sweden
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11
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Seoighe C, Bracken AP, Buckley P, Doran P, Green R, Healy S, Kavanagh D, Kenny E, Lawler M, Lowery M, Morris D, Morrissey D, O'Byrne JJ, Shields D, Smith O, Steward CA, Sweeney B, Kolch W. The future of genomics in Ireland - focus on genomics for health. HRB Open Res 2020; 3:89. [PMID: 33855271 PMCID: PMC7993626 DOI: 10.12688/hrbopenres.13187.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/30/2020] [Indexed: 12/15/2022] Open
Abstract
Genomics is revolutionizing biomedical research, medicine and healthcare globally in academic, public and industry sectors alike. Concrete examples around the world show that huge benefits for patients, society and economy can be accrued through effective and responsible genomic research and clinical applications. Unfortunately, Ireland has fallen behind and needs to act now in order to catch up. Here, we identify key issues that have resulted in Ireland lagging behind, describe how genomics can benefit Ireland and its people and outline the measures needed to make genomics work for Ireland and Irish patients. There is now an urgent need for a national genomics strategy that enables an effective, collaborative, responsible, well-regulated, and patient centred environment where genome research and clinical genomics can thrive. We present eight recommendations that could be the pillars of a national genomics health strategy.
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Affiliation(s)
- Cathal Seoighe
- National University of Ireland Galway, Galway, H91 TK33, Ireland
| | | | | | - Peter Doran
- University College Dublin, Dublin, 4, Ireland
- Mater Misericordiae University Hospital, Dublin, 7, Ireland
| | - Robert Green
- Brigham Health, Broad Institute, Ariadne Labs, Harvard Medical School, Boston, MA, 02115, USA
| | - Sandra Healy
- National University of Ireland Galway, Galway, H91 TK33, Ireland
| | - David Kavanagh
- Genuity Science (Ireland) Ltd., Dublin, D18 K7W4, Ireland
| | - Elaine Kenny
- Trinity College Dublin, Dublin, 2, Ireland
- ELDA Biotech, Trinity Translational Medicine Institute, St James's Hospital, Dublin, D08 W9RT, Ireland
| | - Mark Lawler
- Queen's University Belfast, Belfast, Northern Ireland, BT7 1NN, Ireland
| | - Maeve Lowery
- Trinity College Dublin, Dublin, 2, Ireland
- Saint James' Hospital, Dublin, D08 NHY1, Ireland
| | - Derek Morris
- National University of Ireland Galway, Galway, H91 TK33, Ireland
| | - Darrin Morrissey
- National Institute for Bioprocessing Research and Training, Blackrock, A94 X099, Ireland
| | | | | | - Owen Smith
- University College Dublin, Dublin, 4, Ireland
- Children’s Health Ireland, Crumlin, Dublin, D12 N512, Ireland
| | | | | | - Walter Kolch
- National University of Ireland Galway, Galway, H91 TK33, Ireland
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12
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Johnston KM, Sheffield BS, Yip S, Lakzadeh P, Qian C, Nam J. Costs of in-house genomic profiling and implications for economic evaluation: a case example of non-small cell lung cancer (NSCLC). J Med Econ 2020; 23:1123-1129. [PMID: 32597288 DOI: 10.1080/13696998.2020.1789152] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES Genomic profiling in oncology is vital for determining eligible patients for mutation-specific targeted therapies. Use of commercial genomic testing has the potential to improve patient outcomes. Economic evaluations of in-house genomic profiling typically only include material costs while external commercial services include many other factors. Using non-small cell lung cancer (NSCLC) as an example, this study sought to characterize the unique challenges of costing testing services and their impact on results of economic evaluations. METHODS Structured interviews with Canadian oncologists, pathologists, and laboratory directors were conducted to identify material and non-material costs associated with genomic-testing laboratories to allow estimation of a more complete cost of in-house testing, with NSCLC cost-per-test calculated using annual operational costs and NSCLC-specific testing volume. A health and budget impact model of in-house versus external commercial profiling services was used to compare the impact of non-material costs on results. RESULTS In-house testing costs, limited to materials, was $133/single-gene test and $1,400/panel. For a laboratory running 1,300 in-house tests/year, total annual non-material costs included equipment maintenance ($6,842), labor ($502,313; technicians, administrative, and medical staff), shipping/reporting and software updates ($146,050), for an additional $519/test. The combined cost of $652/single-gene and $1,919/panel was compared to a cost of $6,194 for a commercial external test. Based on current Canadian testing patterns and anticipated utilization of external testing, inclusion of in-house non-material costs reduced the estimated 3-year budget impact by 12%. CONCLUSION When conducting economic evaluation to assess the value of introducing external tests, it is critical that non-material costs of standard testing strategies be measured and incorporated.
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Affiliation(s)
- Karissa M Johnston
- Broadstreet Health Economics and Outcomes Research, HEOR, Vancouver, Canada
| | | | - Stephen Yip
- Department of Pathology, BC Cancer, Vancouver, Canada
| | - Pardis Lakzadeh
- Broadstreet Health Economics and Outcomes Research, HEOR, Vancouver, Canada
| | - Christina Qian
- Broadstreet Health Economics and Outcomes Research, HEOR, Vancouver, Canada
| | - Julian Nam
- Hoffmann-La Roche Limited, Mississauga, Canada
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13
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Schluckebier L, Caetano R, Garay OU, Montenegro GT, Custodio M, Aran V, Gil Ferreira C. Cost-effectiveness analysis comparing companion diagnostic tests for EGFR, ALK, and ROS1 versus next-generation sequencing (NGS) in advanced adenocarcinoma lung cancer patients. BMC Cancer 2020; 20:875. [PMID: 32928143 PMCID: PMC7489015 DOI: 10.1186/s12885-020-07240-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 07/30/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The treatment of choice for advanced non-small cell lung cancer is selected according to the presence of specific alterations. Patients should undergo molecular testing for relevant modifications and the mutational status of EGFR and translocation of ALK and ROS1 are commonly tested to offer the best intervention. In addition, the tests costs should also be taken in consideration. Therefore, this work was performed in order to evaluate the cost-effectiveness of a unique exam using NGS (next generation sequencing) versus other routinely used tests which involve RT-PCR and FISH. METHODS The target population was NSCLC, adenocarcinoma, and candidates to first-line therapy. Two strategies were undertaken, strategy 1 corresponded to sequential tests with EGFR RT-PCR, then FISH for ALK and ROS1. Strategy 2 differed from 1 in that ALK and ROS1 translocation testing were performed simultaneously by FISH. Strategy 3 considered single test next-generation sequencing, a platform that includes EGFR, ALK and ROS1 genes. A decision tree analysis was used to model genetic testing options. From the test results, a microsimulation model was nested to estimate survival outcomes and costs of therapeutic options. RESULTS The use of NGS added 24% extra true cases as well as extra costs attributed to the molecular testing. The ICER comparing NGS with sequential tests was US$ 3479.11/correct case detected. The NGS improved a slight gain in life years and QALYs. CONCLUSION Our results indicated that, although precise, the molecular diagnosis by NGS of patients with advanced stage NSCLC adenocarcinoma histology was not cost-effective in terms of quality-adjusted life years from the perspective of the Brazilian supplementary health system.
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Affiliation(s)
| | - Rosangela Caetano
- Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Osvaldo Ulises Garay
- Instituto de Efectividad Clinica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina
- Roche Diagnóstica, Buenos Aires, Argentina
| | | | | | - Veronica Aran
- Fundação do Câncer, 212 - Centro, Rio de janeiro, 20231-048, Brazil.
- Instituto Estadual do Cérebro Paulo Niemeyer, R. do Rezende, 156 - Centro, Rio de Janeiro, 20231-092, Brazil.
| | - Carlos Gil Ferreira
- Fundação do Câncer, 212 - Centro, Rio de janeiro, 20231-048, Brazil
- Oncoclínicas, Rio de Janeiro, Brazil
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14
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Banerjee S, Kumar A, Lopez N, Zhao B, Tang CM, Yebra M, Yoon H, Murphy JD, Sicklick JK. Cost-effectiveness Analysis of Genetic Testing and Tailored First-Line Therapy for Patients With Metastatic Gastrointestinal Stromal Tumors. JAMA Netw Open 2020; 3:e2013565. [PMID: 32986105 PMCID: PMC7522695 DOI: 10.1001/jamanetworkopen.2020.13565] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
IMPORTANCE Gastrointestinal stromal tumor (GIST) is frequently driven by oncogenic KIT variations. Imatinib targeting of KIT marked a new era in GIST treatment and ushered in precision oncological treatment for all solid malignant neoplasms. However, studies on the molecular biological traits of GIST have found that tumors respond differentially to imatinib dosage based on the KIT exon with variation. Despite this knowledge, few patients undergo genetic testing at diagnosis, and empirical imatinib therapy remains routine. Barriers to genetic profiling include concerns about the cost and utility of testing. OBJECTIVE To determine whether targeted gene testing (TGT) is a cost-effective diagnostic for patients with metastatic GIST from the US payer perspective. DESIGN, SETTING, AND PARTICIPANTS This economic evaluation developed a Markov model to compare the cost-effectiveness of TGT and tailored first-line therapy compared with empirical imatinib therapy among patients with a new diagnosis of metastatic GIST. The main health outcome, quality-adjusted life years (QALYs), and costs were obtained from the literature, and transitional probabilities were modeled from disease progression and survival estimates from randomized clinical trials of patients with metastatic GIST. Data analyses were conducted October 2019 to January 2020. EXPOSURE TGT and tailored first-line therapy. MAIN OUTCOMES AND MEASURES The primary outcome was QALYs and cost. Cost-effectiveness was defined using an incremental cost-effectiveness ratio, with an incremental cost-effectiveness ratio less than $100 000/QALY considered cost-effective. One-way and probabilistic sensitivity analyses were conducted to assess model stability. RESULTS Therapy directed by TGT was associated with an increase of 0.10 QALYs at a cost of $9513 compared with the empirical imatinib approach, leading to an incremental cost-effectiveness ratio of $92 100. These findings were sensitive to the costs of TGT, drugs, and health utility model inputs. Therapy directed by TGT remained cost-effective for genetic testing costs up to $3730. Probabilistic sensitivity analysis found that TGT-directed therapy was considered cost-effective 70% of the time. CONCLUSIONS AND RELEVANCE These findings suggest that using genetic testing to match treatment of KIT variations to imatinib dosing is a cost-effective approach compared with empirical imatinib.
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Affiliation(s)
- Sudeep Banerjee
- Department of Surgery, Division of Surgical Oncology, University of California, San Diego
- Department of Surgery, University of California, Los Angeles
| | - Abhishek Kumar
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego
| | - Nicole Lopez
- Department of Surgery, Division of Colorectal Surgery, University of California, San Diego
| | - Beiqun Zhao
- Department of Surgery, Division of Surgical Oncology, University of California, San Diego
| | - Chih-Min Tang
- Department of Surgery, Division of Surgical Oncology, University of California, San Diego
| | - Mayra Yebra
- Department of Surgery, Division of Surgical Oncology, University of California, San Diego
| | - Hyunho Yoon
- Department of Surgery, Division of Surgical Oncology, University of California, San Diego
| | - James D. Murphy
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego
| | - Jason K. Sicklick
- Department of Surgery, Division of Surgical Oncology, University of California, San Diego
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15
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Colomer R, Mondejar R, Romero-Laorden N, Alfranca A, Sanchez-Madrid F, Quintela-Fandino M. When should we order a next generation sequencing test in a patient with cancer? EClinicalMedicine 2020; 25:100487. [PMID: 32775973 PMCID: PMC7397394 DOI: 10.1016/j.eclinm.2020.100487] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 07/12/2020] [Accepted: 07/16/2020] [Indexed: 12/31/2022] Open
Abstract
Technical advances in genome sequencing and the implementation of next-generation sequencing (NGS) in clinical oncology have paved the way for individualizing cancer patient therapy based on molecular profiles. When and how to use NGS testing in the clinic is at present an unsolved issue, although new research results provide evidence favoring this approach in some types of advanced cancer. Clinical research is evolving rapidly, from basket and umbrella trials to adaptative design precision oncology clinical studies, and genomic and molecular data often displace the classical clinical validation procedures of biomarkers. In this context, physicians must be aware of the clinical evidence behind these new biomarkers and NGS tests available, in order to use them in the right moment, and with a critical point of view. This review will present the status of currently available targeted drugs that can be effective based on actionable molecular alterations, and the NGS tests that are currently available, offering a practical guide for the application of Clinical Precision Oncology in the real world routine practice.
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Affiliation(s)
- Ramon Colomer
- Departament of Medicine, Universidad Autónoma de Madrid (UAM), Spain
- Medical Oncology Division, Hospital Universitario La Princesa, Madrid, Spain
- Endowed Chair of Personalised Precision Medicine, Universidad Autónoma de Madrid (UAM)-Fundación Instituto Roche, Spain
- Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain
| | - Rebeca Mondejar
- Departament of Medicine, Universidad Autónoma de Madrid (UAM), Spain
- Medical Oncology Division, Hospital Universitario La Princesa, Madrid, Spain
- Endowed Chair of Personalised Precision Medicine, Universidad Autónoma de Madrid (UAM)-Fundación Instituto Roche, Spain
| | - Nuria Romero-Laorden
- Medical Oncology Division, Hospital Universitario La Princesa, Madrid, Spain
- Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain
| | | | - Francisco Sanchez-Madrid
- Departament of Medicine, Universidad Autónoma de Madrid (UAM), Spain
- Endowed Chair of Personalised Precision Medicine, Universidad Autónoma de Madrid (UAM)-Fundación Instituto Roche, Spain
- Immunology Division, Hospital Universitario La Princesa, Madrid, Spain
| | - Miguel Quintela-Fandino
- Departament of Medicine, Universidad Autónoma de Madrid (UAM), Spain
- Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain
- Medical Oncology Division, Hospital Universitario Quirón, Pozuelo de Alarcón – Madrid, Spain
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16
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Genomic profiling in oncology clinical practice. Clin Transl Oncol 2020; 22:1430-1439. [PMID: 31981077 DOI: 10.1007/s12094-020-02296-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 01/08/2020] [Indexed: 02/04/2023]
Abstract
The development of high-throughput technologies such as next-generation sequencing for DNA sequencing together with the decrease in their cost has led to the progressive introduction of genomic profiling in our daily practice in oncology. Nowadays, genomic profiling is part of genetic counseling, cancer diagnosis, molecular characterization, and as a biomarker of prognosis and response to treatment. Furthermore, germline or somatic genomic characterization of the tumor may provide new treatment opportunities for patients with cancer. In this review, we will summarize the clinical applications and limitations of genomic profiling in oncology clinical practice, focusing on next-generation sequencing.
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17
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Vasconcellos VF, Colli LM, Awada A, de Castro Junior G. Precision oncology: as much expectations as limitations. Ecancermedicalscience 2019; 12:ed86. [PMID: 30679954 PMCID: PMC6345072 DOI: 10.3332/ecancer.2018.ed86] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Indexed: 12/12/2022] Open
Abstract
It is encouraging to witness the recent price reduction and expanded access to next generation sequencing platforms, the increasing number of investments and publications on new targets and respective targeted drugs, as well as the worldwide excitement with anti-cancer personalised therapies. This editorial aims to highlight the limitations regarding the small proportion of solid cancers potentially eligible for the use of molecular-based targeted drugs until now. It also covers the expected clinical benefits in refractory patients treated by matched therapies, and detailed cost-effectiveness analysis of the use of DNA sequencing analysis oncology practice in an academic and large-scale community.
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Affiliation(s)
- Vitor Fiorin Vasconcellos
- Clinical Oncology, Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
| | - Leandro Machado Colli
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ahmad Awada
- Medical Oncology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Gilberto de Castro Junior
- Clinical Oncology, Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
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18
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Phillips KA, Deverka PA, Marshall DA, Wordsworth S, Regier DA, Christensen KD, Buchanan J. Methodological Issues in Assessing the Economic Value of Next-Generation Sequencing Tests: Many Challenges and Not Enough Solutions. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2018; 21:1033-1042. [PMID: 30224106 PMCID: PMC6159915 DOI: 10.1016/j.jval.2018.06.017] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 06/11/2018] [Indexed: 05/05/2023]
Abstract
BACKGROUND Clinical use of next-generation sequencing (NGS) tests has been increasing, but few studies have examined their economic value. Several studies have noted that there are methodological challenges to conducting economic evaluations of NGS tests. OBJECTIVE Our objective was to examine key methodological challenges for conducting economic evaluations of NGS tests, prioritize these challenges for future research, and identify how studies have attempted solutions to address these challenges. METHODS We identified challenges for economic evaluations of NGS tests using prior literature and expert judgment of the co-authors. We used a modified Delphi assessment to prioritize challenges, based on importance and probability of resolution. Using a structured literature review and article extraction we then assessed whether published economic evaluations had addressed these challenges. RESULTS We identified 11 challenges for conducting economic evaluations of NGS tests. The experts identified three challenges as the top priorities for future research: complex model structure, timeframe, and type of analysis and comparators used. Of the 15 published studies included in our literature review, four studies described specific solutions relevant to five of the 11 identified challenges. CONCLUSIONS Major methodological challenges to economic evaluations of NGS tests remain to be addressed. Our results can be used to guide future research and inform decision-makers on how to prioritize research on the economic assessment of NGS tests.
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Affiliation(s)
- Kathryn A Phillips
- Department of Clinical Pharmacy; Center for Translational and Policy Research on Personalized Medicine (TRANSPERS); UCSF Philip R. Lee Institute for Health Policy; and UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
| | | | - Deborah A Marshall
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Sarah Wordsworth
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Dean A Regier
- Cancer Control BC, School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - James Buchanan
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK
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19
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Konopka JF, Lee YY, Su EP, McLawhorn AS. Quality-Adjusted Life Years After Hip and Knee Arthroplasty: Health-Related Quality of Life After 12,782 Joint Replacements. JB JS Open Access 2018; 3:e0007. [PMID: 30533590 PMCID: PMC6242318 DOI: 10.2106/jbjs.oa.18.00007] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Background The quality-adjusted life year (QALY) is the preferred outcome measurement for cost-effectiveness analysis in health care. QALYs measure patient health-related quality of life with use of a value between 0 and 1. Few studies have provided original data delineating QALYs after hip and knee arthroplasty. In the present study, we evaluated patient utility preoperatively and 2 years after total hip arthroplasty, hip resurfacing, revision hip arthroplasty, total knee arthroplasty, unicompartmental knee arthroplasty, and revision knee arthroplasty. Methods A single-hospital joint registry, which enrolled patients from 2007 to 2011, was retrospectively examined for all patients who underwent primary or revision hip or knee arthroplasty and who had preoperative and 2-year postoperative Short Form-36 (SF-36), Short Form-12 (SF-12), or EuroQol 5-Dimension (EQ-5D) scores available. Patient age, body mass index (BMI), sex, American Society of Anesthesiologists (ASA) score, and Charlson Comorbidity Index were recorded. QALYs were determined from the EQ-5D index and the Short Form-6 Dimension (SF-6D) index. Results Five thousand, four hundred and sixty-three patients underwent total hip arthroplasty, with a mean annual increase (and standard deviation) of 0.25 ± 0.2 QALY; 843 patients underwent hip resurfacing, with a mean annual increase of 0.24 ± 0.17 QALY; 5,398 patients underwent primary total knee arthroplasty, with a mean annual increase of 0.17 ± 0.19 QALY; and 240 patients underwent medial unicompartmental knee arthroplasty, with a mean annual increase of 0.16 ± 0.17 QALY. Aseptic revision arthroplasty (440 hips, 323 knees) was associated with a smaller QALY gain than primary arthroplasty. Patient age, BMI, female sex, ASA category, and higher preoperative health-related quality of life were negative predictors for QALY gain after primary arthroplasty. Forty additional hip procedures and 35 additional knee procedures were also analyzed. Conclusions Primary hip and knee arthroplasty, on average, result in substantially increased patient quality of life. Revision hip and knee replacement result in a lower, but still positive, gain in quality of life. However, there is a considerable variation in patient outcomes across all procedures. Our results may be used to improve the certainty of future cost-effectiveness analyses of hip and knee arthroplasty. Level of Evidence Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
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Affiliation(s)
- Joseph F Konopka
- Adult Reconstruction & Joint Replacement Division, The Hospital for Special Surgery, New York, NY
| | - Yuo-Yu Lee
- Adult Reconstruction & Joint Replacement Division, The Hospital for Special Surgery, New York, NY
| | - Edwin P Su
- Adult Reconstruction & Joint Replacement Division, The Hospital for Special Surgery, New York, NY
| | - Alexander S McLawhorn
- Adult Reconstruction & Joint Replacement Division, The Hospital for Special Surgery, New York, NY
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20
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Payne K, Gavan SP, Wright SJ, Thompson AJ. Cost-effectiveness analyses of genetic and genomic diagnostic tests. Nat Rev Genet 2018; 19:235-246. [PMID: 29353875 DOI: 10.1038/nrg.2017.108] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Developments in next-generation sequencing technologies have driven the clinical application of diagnostic tests that interrogate the whole genome, which offer the chance to diagnose rare inherited diseases or inform the targeting of therapies. New genomic diagnostic tests compete with traditional approaches to diagnosis, including the genetic testing of single genes and other clinical strategies, for finite health-care budgets. In this context, decision analytic model-based cost-effectiveness analysis is a useful method to help evaluate the costs versus consequences of introducing new health-care interventions. This Perspective presents key methodological, technical, practical and organizational challenges that must be considered by decision-makers responsible for the allocation of health-care resources to obtain robust and timely information about the relative cost-effectiveness of the increasing numbers of emerging genomic tests.
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Affiliation(s)
- Katherine Payne
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, M13 9PL, UK
| | - Sean P Gavan
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, M13 9PL, UK
| | - Stuart J Wright
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, M13 9PL, UK
| | - Alexander J Thompson
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, M13 9PL, UK
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21
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Asaka S, Yoshizawa A, Saito K, Kobayashi Y, Yamamoto H, Negishi T, Nakata R, Matsuda K, Yamaguchi A, Honda T. Rapid point-of-care testing for epidermal growth factor receptor gene mutations in patients with lung cancer using cell-free DNA from cytology specimen supernatants. Int J Oncol 2018; 52:2110-2118. [PMID: 29620164 DOI: 10.3892/ijo.2018.4334] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 02/16/2018] [Indexed: 11/05/2022] Open
Abstract
Epidermal growth factor receptor (EGFR) mutations are associated with responses to EGFR tyrosine kinase inhibitors (EGFR-TKIs) in non-small-cell lung cancer (NSCLC). Our previous study revealed a rapid point-of-care system for detecting EGFR mutations. This system analyzes cell pellets from cytology specimens using droplet-polymerase chain reaction (d-PCR), and has a reaction time of 10 min. The present study aimed to validate the performance of the EGFR d-PCR assay using cell-free DNA (cfDNA) from supernatants obtained from cytology specimens. Assay results from cfDNA supernatant analyses were compared with those from cell pellets for 90 patients who were clinically diagnosed with, or suspected of having, lung cancer (80 bronchial lavage fluid samples, nine pleural effusion samples and one spinal fluid sample). EGFR mutations were identified in 12 and 15 cases using cfDNA supernatants and cell pellets, respectively. The concordance rates between cfDNA-supernatant and cell‑pellet assay results were 96.7% [kappa coefficient (K)=0.87], 98.9% (K=0.94), 98.9% (K=0.79) and 98.9% (K=0.79) for total EGFR mutations, L858R, E746_A750del and T790M, respectively. All 15 patients with EGFR mutation-positive results, as determined by EGFR d-PCR assay using cfDNA supernatants or cell pellets, also displayed positive results by conventional EGFR assays using tumor tissue or cytology specimens. Notably, EGFR mutations were even detected in five cfDNA supernatants for which the cytological diagnoses of the corresponding cell pellets were 'suspicious for malignancy', 'atypical' or 'negative for malignancy.' In conclusion, this rapid point-of-care system may be considered a promising novel screening method that may enable patients with NSCLC to receive EGFR-TKI therapy more rapidly, whilst also reserving cell pellets for additional morphological and molecular analyses.
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Affiliation(s)
- Shiho Asaka
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Nagano 390-8621, Japan
| | - Akihiko Yoshizawa
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Nagano 390-8621, Japan
| | - Kazusa Saito
- Shinshu University School of Medicine, Matsumoto, Nagano 390-8621, Japan
| | - Yukihiro Kobayashi
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Nagano 390-8621, Japan
| | - Hiroshi Yamamoto
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Nagano 390-8621, Japan
| | - Tatsuya Negishi
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Nagano 390-8621, Japan
| | - Rie Nakata
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Nagano 390-8621, Japan
| | - Kazuyuki Matsuda
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Nagano 390-8621, Japan
| | - Akemi Yamaguchi
- Technology Development Division, Seiko Epson Corporation, Fujimi, Nagano 399-0293, Japan
| | - Takayuki Honda
- Department of Laboratory Medicine, Shinshu University Hospital, Matsumoto, Nagano 390-8621, Japan
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22
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Gong J, Pan K, Fakih M, Pal S, Salgia R. Value-based genomics. Oncotarget 2018; 9:15792-15815. [PMID: 29644010 PMCID: PMC5884665 DOI: 10.18632/oncotarget.24353] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 01/19/2018] [Indexed: 12/18/2022] Open
Abstract
Advancements in next-generation sequencing have greatly enhanced the development of biomarker-driven cancer therapies. The affordability and availability of next-generation sequencers have allowed for the commercialization of next-generation sequencing platforms that have found widespread use for clinical-decision making and research purposes. Despite the greater availability of tumor molecular profiling by next-generation sequencing at our doorsteps, the achievement of value-based care, or improving patient outcomes while reducing overall costs or risks, in the era of precision oncology remains a looming challenge. In this review, we highlight available data through a pre-established and conceptualized framework for evaluating value-based medicine to assess the cost (efficiency), clinical benefit (effectiveness), and toxicity (safety) of genomic profiling in cancer care. We also provide perspectives on future directions of next-generation sequencing from targeted panels to whole-exome or whole-genome sequencing and describe potential strategies needed to attain value-based genomics.
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Affiliation(s)
- Jun Gong
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, USA
| | - Kathy Pan
- Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Marwan Fakih
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, USA
| | - Sumanta Pal
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA, USA
| | - Ravi Salgia
- Medical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
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23
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Loubière S, Drezet A, Beau-Faller M, Moro-Sibilot D, Friard S, Wislez M, Blons H, Daniel C, Westeel V, Madroszyk A, Léna H, Merle P, Mazières J, Zalcman G, Lacave R, Antoine M, Morin F, Missy P, Barlesi F, Auquier P, Cadranel J. Cost-effectiveness of KRAS, EGFR and ALK testing for decision making in advanced nonsmall cell lung carcinoma: the French IFCT-PREDICT.amm study. Eur Respir J 2018; 51:13993003.01467-2017. [DOI: 10.1183/13993003.01467-2017] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 01/31/2018] [Indexed: 11/05/2022]
Abstract
ALK rearrangement and EGFR/KRAS mutations constitute the primary biomarkers tested to provide targeted or nontargeted therapies in advanced nonsmall cell lung cancer (NSCLC) patients. Our objective was to assess the cost-effectiveness of biomarker testing for NSCLC.Between 2013 and 2014, 843 treatment-naive patients were prospectively recruited at 19 French hospitals into a longitudinal observational cohort study. Two testing strategies were compared, i.e. with “at least one biomarker status known” and “at least KRAS status known”, in addition to “no biomarker testing” as the reference strategy. The Kaplan–Meier approach was employed to assess restricted mean survival time. Direct medical costs incurred by hospitals were estimated with regard to treatment, inpatient care and biomarker testing.Compared with “no biomarker testing”, the “at least one biomarker status known” strategy yielded an incremental cost-effectiveness ratio of EUR13 230 per life-year saved, which decreased to EUR7444 per life-year saved with the “at least KRAS status known” testing strategy. In sensitivity analyses, biomarker testing strategies were less costly and more effective in 41% of iterations.In summary, molecular testing prior to treatment initiation proves to be cost-effective in advanced NSCLC management and may assist decision makers in defining conditions for further implementation of these innovations in general practice.
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24
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Tan O, Shrestha R, Cunich M, Schofield D. Application of next-generation sequencing to improve cancer management: A review of the clinical effectiveness and cost-effectiveness. Clin Genet 2018; 93:533-544. [DOI: 10.1111/cge.13199] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 11/20/2017] [Accepted: 12/14/2017] [Indexed: 01/21/2023]
Affiliation(s)
- O. Tan
- Centre for Economic Impacts of Genomic Medicine, Department of Economics, Faculty of Business & Economics; Macquarie University; Australia
- Faculty of Pharmacy; University of Sydney; Camperdown Australia
| | - R. Shrestha
- Centre for Economic Impacts of Genomic Medicine, Department of Economics, Faculty of Business & Economics; Macquarie University; Australia
- Faculty of Pharmacy; University of Sydney; Camperdown Australia
| | - M. Cunich
- Centre for Economic Impacts of Genomic Medicine, Department of Economics, Faculty of Business & Economics; Macquarie University; Australia
| | - D.J. Schofield
- Centre for Economic Impacts of Genomic Medicine, Department of Economics, Faculty of Business & Economics; Macquarie University; Australia
- Faculty of Pharmacy; University of Sydney; Camperdown Australia
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25
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Albaba H, Lim C, Leighl NB. Economic Considerations in the Use of Novel Targeted Therapies for Lung Cancer: Review of Current Literature. PHARMACOECONOMICS 2017; 35:1195-1209. [PMID: 28861770 DOI: 10.1007/s40273-017-0563-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Lung cancer remains the leading cause of cancer-related death and economic burden worldwide. Despite the heavy toll of lung cancer, multiple new advances have improved patient outcomes, largely through precision medicine and targeted therapy. The associated rising economic burden however may impact the uptake of novel therapeutic agents in lung cancer, thereby limiting patient access. This article identifies and reviews economic evaluations of targeted agents in lung cancer in the era of precision medicine. Articles evaluating biomarker-directed test-and-treat strategies are also reviewed to evaluate the cost impact of novel therapeutic agents at a population level. The Quality of Health Economic Studies instrument is applied to assess the quality of included studies. Forty-six studies are reviewed and encompass studies of epidermal growth factor receptor inhibitors and monoclonal antibodies, anaplastic lymphoma kinase inhibitors, vascular endothelial growth factor and vascular endothelial growth factor receptor inhibitors and immunotherapy (programmed death-1 inhibitors). Key factors influencing results of economic analyses include comparators chosen, perspective used, magnitude of clinical benefit, utility weighting of outcomes and drug acquisition costs. Biomarker-driven decision making should be integrated into cost evaluations given the important role of molecular testing for individualising treatment for non-small-cell lung cancer. We conclude that despite major clinical advances in lung cancer therapeutics, cost remains an important consideration in the adoption of novel therapies.
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Affiliation(s)
- Hamzeh Albaba
- Princess Margaret Cancer Center, University Health Network, c/o 700 University Avenue, Room 7-913, Toronto, ON, M5G 1Z5, Canada
- University of Toronto, Toronto, ON, Canada
| | - Charles Lim
- Princess Margaret Cancer Center, University Health Network, c/o 700 University Avenue, Room 7-913, Toronto, ON, M5G 1Z5, Canada
- University of Toronto, Toronto, ON, Canada
| | - Natasha B Leighl
- Princess Margaret Cancer Center, University Health Network, c/o 700 University Avenue, Room 7-913, Toronto, ON, M5G 1Z5, Canada.
- University of Toronto, Toronto, ON, Canada.
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26
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Comprehensive Analysis of Cancer-Proteogenome to Identify Biomarkers for the Early Diagnosis and Prognosis of Cancer. Proteomes 2017; 5:proteomes5040028. [PMID: 29068423 PMCID: PMC5748563 DOI: 10.3390/proteomes5040028] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2017] [Revised: 10/13/2017] [Accepted: 10/17/2017] [Indexed: 02/07/2023] Open
Abstract
During the past century, our understanding of cancer diagnosis and treatment has been based on a monogenic approach, and as a consequence our knowledge of the clinical genetic underpinnings of cancer is incomplete. Since the completion of the human genome in 2003, it has steered us into therapeutic target discovery, enabling us to mine the genome using cutting edge proteogenomics tools. A number of novel and promising cancer targets have emerged from the genome project for diagnostics, therapeutics, and prognostic markers, which are being used to monitor response to cancer treatment. The heterogeneous nature of cancer has hindered progress in understanding the underlying mechanisms that lead to abnormal cellular growth. Since, the start of The Cancer Genome Atlas (TCGA), and the International Genome consortium projects, there has been tremendous progress in genome sequencing and immense numbers of cancer genomes have been completed, and this approach has transformed our understanding of the diagnosis and treatment of different types of cancers. By employing Genomics and proteomics technologies, an immense amount of genomic data is being generated on clinical tumors, which has transformed the cancer landscape and has the potential to transform cancer diagnosis and prognosis. A complete molecular view of the cancer landscape is necessary for understanding the underlying mechanisms of cancer initiation to improve diagnosis and prognosis, which ultimately will lead to personalized treatment. Interestingly, cancer proteome analysis has also allowed us to identify biomarkers to monitor drug and radiation resistance in patients undergoing cancer treatment. Further, TCGA-funded studies have allowed for the genomic and transcriptomic characterization of targeted cancers, this analysis aiding the development of targeted therapies for highly lethal malignancy. High-throughput technologies, such as complete proteome, epigenome, protein-protein interaction, and pharmacogenomics data, are indispensable to glean into the cancer genome and proteome and these approaches have generated multidimensional universal studies of genes and proteins (OMICS) data which has the potential to facilitate precision medicine. However, due to slow progress in computational technologies, the translation of big omics data into their clinical aspects have been slow. In this review, attempts have been made to describe the role of high-throughput genomic and proteomic technologies in identifying a panel of biomarkers which could be used for the early diagnosis and prognosis of cancer.
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27
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Deans ZC, Costa JL, Cree I, Dequeker E, Edsjö A, Henderson S, Hummel M, Ligtenberg MJ, Loddo M, Machado JC, Marchetti A, Marquis K, Mason J, Normanno N, Rouleau E, Schuuring E, Snelson KM, Thunnissen E, Tops B, Williams G, van Krieken H, Hall JA. Integration of next-generation sequencing in clinical diagnostic molecular pathology laboratories for analysis of solid tumours; an expert opinion on behalf of IQN Path ASBL. Virchows Arch 2017; 470:5-20. [PMID: 27678269 PMCID: PMC5243883 DOI: 10.1007/s00428-016-2025-7] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 08/27/2016] [Accepted: 09/16/2016] [Indexed: 10/31/2022]
Abstract
The clinical demand for mutation detection within multiple genes from a single tumour sample requires molecular diagnostic laboratories to develop rapid, high-throughput, highly sensitive, accurate and parallel testing within tight budget constraints. To meet this demand, many laboratories employ next-generation sequencing (NGS) based on small amplicons. Building on existing publications and general guidance for the clinical use of NGS and learnings from germline testing, the following guidelines establish consensus standards for somatic diagnostic testing, specifically for identifying and reporting mutations in solid tumours. These guidelines cover the testing strategy, implementation of testing within clinical service, sample requirements, data analysis and reporting of results. In conjunction with appropriate staff training and international standards for laboratory testing, these consensus standards for the use of NGS in molecular pathology of solid tumours will assist laboratories in implementing NGS in clinical services.
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Affiliation(s)
- Zandra C Deans
- UK NEQAS for Molecular Genetics, Department of Laboratory Medicine, Royal Infirmary of Edinburgh, Edinburgh, EH16 4SA, UK.
| | - Jose Luis Costa
- i3S Instituto de Investigação e Inovação em Saúde/IPATIMUP Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal
| | - Ian Cree
- Department of Pathology, University Hospital Coventry and Warwickshire, Coventry, CV2 2DX, UK
| | - Els Dequeker
- Biomedical Quality Assurance Research Unit, Department of Public Health and Primary Care, KU Leuven-University of Leuven, Leuven, Belgium
| | - Anders Edsjö
- Clinical Pathology, Laboratory Medicine, Medical Services, Region Skåne, Lund, Sweden
| | - Shirley Henderson
- Genomics England, Queen Mary University of London, Dawson Hall, Charterhouse Square, London, EC1M 6BQ, UK
| | - Michael Hummel
- Institute of Pathology, Berlin, Germany and the DGP, German Society of Pathology, Charite, University Medicine Berlin, Berlin, Germany
| | - Marjolijn Jl Ligtenberg
- Department of Pathology and Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marco Loddo
- Oncologica UK Ltd, Suite 15-16, The Science Village, Chesterford Research Park, Cambridge, CB10 1XL, UK
| | - Jose Carlos Machado
- i3S Instituto de Investigação e Inovação em Saúde/IPATIMUP Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal
| | - Antonio Marchetti
- Center of Predictive Molecular Medicine, CeSI-MeT, University of Chieti, Chieti, Italy
| | - Katherine Marquis
- Oncologica UK Ltd, Suite 15-16, The Science Village, Chesterford Research Park, Cambridge, CB10 1XL, UK
| | - Joanne Mason
- Genomics England, Queen Mary University of London, Dawson Hall, Charterhouse Square, London, EC1M 6BQ, UK
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumouri "Fondazione Giovanni Pascale" IRCCS, Naples, Italy
| | - Etienne Rouleau
- Department of Medical Biology and Pathology, Genetic and Pathology Molecular Service, Gustave Roussy, 114 Rue Edouard Vaillant, 94800, Villejuif, France
| | - Ed Schuuring
- Department of Pathology, University of Groningen, University Medical Center of Groningen, Groningen, The Netherlands
| | - Keeda-Marie Snelson
- Oncologica UK Ltd, Suite 15-16, The Science Village, Chesterford Research Park, Cambridge, CB10 1XL, UK
| | - Erik Thunnissen
- Pathology, VU University Medical Center, Amsterdam, the Netherlands
| | - Bastiaan Tops
- Department of Pathology and Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Gareth Williams
- Oncologica UK Ltd, Suite 15-16, The Science Village, Chesterford Research Park, Cambridge, CB10 1XL, UK
| | - Han van Krieken
- Department of Pathology and Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jacqueline A Hall
- International Quality Network for Pathology (IQN Path) Association Sans But Lucratif (A.S.B.L), 17 Boulevard Royal, L2449, Luxembourg City, Luxembourg
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London, UK
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28
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Phillips KA, Douglas MP, Trosman JR, Marshall DA. "What Goes Around Comes Around": Lessons Learned from Economic Evaluations of Personalized Medicine Applied to Digital Medicine. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2017; 20:47-53. [PMID: 28212968 PMCID: PMC5319740 DOI: 10.1016/j.jval.2016.08.736] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 08/20/2016] [Indexed: 05/03/2023]
Abstract
BACKGROUND The growth of "big data" and the emphasis on patient-centered health care have led to the increasing use of two key technologies: personalized medicine and digital medicine. For these technologies to move into mainstream health care and be reimbursed by insurers, it will be essential to have evidence that their benefits provide reasonable value relative to their costs. These technologies, however, have complex characteristics that present challenges to the assessment of their economic value. Previous studies have identified the challenges for personalized medicine and thus this work informs the more nascent topic of digital medicine. OBJECTIVES To examine the methodological challenges and future opportunities for assessing the economic value of digital medicine, using personalized medicine as a comparison. METHODS We focused specifically on digital biomarker technologies and multigene tests. We identified similarities in these technologies that can present challenges to economic evaluation: multiple results, results with different types of utilities, secondary findings, downstream impact (including on family members), and interactive effects. RESULTS Using a structured review, we found that there are few economic evaluations of digital biomarker technologies, with limited results. CONCLUSIONS We conclude that more evidence on the effectiveness of digital medicine will be needed but that the experiences with personalized medicine can inform what data will be needed and how such analyses can be conducted. Our study points out the critical need for typologies and terminology for digital medicine technologies that would enable them to be classified in ways that will facilitate research on their effectiveness and value.
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Affiliation(s)
- Kathryn A Phillips
- Department of Clinical Pharmacy, Center for Translational and Policy Research on Peronalized Medicine (TRANSPERS), University of California San Francisco, San Francisco, CA, USA; Philip R. Lee Institute for Health Policy, University of California San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
| | - Michael P Douglas
- Department of Clinical Pharmacy, Center for Translational and Policy Research on Peronalized Medicine (TRANSPERS), University of California San Francisco, San Francisco, CA, USA
| | - Julia R Trosman
- Department of Clinical Pharmacy, Center for Translational and Policy Research on Peronalized Medicine (TRANSPERS), University of California San Francisco, San Francisco, CA, USA; Center for Business Models in Healthcare, Chicago, IL, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Deborah A Marshall
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
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29
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van Amerongen RA, Retèl VP, Coupé VM, Nederlof PM, Vogel MJ, van Harten WH. Next-generation sequencing in NSCLC and melanoma patients: a cost and budget impact analysis. Ecancermedicalscience 2016; 10:684. [PMID: 27899957 PMCID: PMC5102690 DOI: 10.3332/ecancer.2016.684] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Indexed: 02/06/2023] Open
Abstract
Next-generation sequencing (NGS) has reached the molecular diagnostic laboratories. Although the NGS technology aims to improve the effectiveness of therapies by selecting the most promising therapy, concerns are that NGS testing is expensive and that the ‘benefits’ are not yet in relation to these costs. In this study, we give an estimation of the costs and an institutional and national budget impact of various types of NGS tests in non-small-cell lung cancer (NSCLC) and melanoma patients within The Netherlands. First, an activity-based costing (ABC) analysis has been conducted on the costs of two examples of NGS panels (small- and medium-targeted gene panel (TGP)) based on data of The Netherlands Cancer Institute (NKI). Second, we performed a budget impact analysis (BIA) to estimate the current (2015) and future (2020) budget impact of NGS on molecular diagnostics for NSCLC and melanoma patients in The Netherlands. Literature, expert opinions, and a data set of patients within the NKI (n = 172) have been included in the BIA. Based on our analysis, we expect that the NGS test cost concerns will be limited. In the current situation, NGS can indeed result in higher diagnostic test costs, which is mainly related to required additional tests besides the small TGP. However, in the future, we expect that the use of whole-genome sequencing (WGS) will increase, for which it is expected that additional tests can be (partly) avoided. Although the current clinical benefits are expected to be limited, the research potentials of NGS are already an important advantage.
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Affiliation(s)
- Rosa A van Amerongen
- Department of Epidemiology and Biostatistics, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
| | - Valesca P Retèl
- Department of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, PO Box 90203, 1006 BE Amsterdam, The Netherlands; School of Governance and Management, University of Twente, MB-HTSR, PO Box 217, 7500 AE Enschede, The Netherlands
| | - Veerle Mh Coupé
- Department of Epidemiology and Biostatistics, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
| | - Petra M Nederlof
- Department of Molecular Diagnostics, Pathology, The Netherlands Cancer Institute, PO Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Maartje J Vogel
- Department of Molecular Diagnostics, Pathology, The Netherlands Cancer Institute, PO Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Wim H van Harten
- Department of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, PO Box 90203, 1006 BE Amsterdam, The Netherlands; School of Governance and Management, University of Twente, MB-HTSR, PO Box 217, 7500 AE Enschede, The Netherlands
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