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Abstract
Introducing precision medicine strategies into routine practice will require robust economic evidence. Decision-makers need to understand the value of a precision medicine strategy compared with alternative ways to treat patients. This chapter describes health economic analysis techniques that are needed to generate this evidence. The value of any precision medicine strategy can be demonstrated early to inform evidence generation and improve the likelihood of translation into routine practice. Advances in health economic analysis techniques are also explained and their relevance to precision medicine is highlighted. Ensuring that constraints on delivery are resolved to increase uptake and implementation will improve the value of a new precision medicine strategy. Empirical methods to quantify stakeholders' preferences can be effective to inform the design of a precision medicine intervention or service delivery model. A range of techniques to generate relevant economic evidence are now available to support the development and translation of precision medicine into routine practice. This economic evidence is essential to inform resource allocation decisions and will enable patients to benefit from cost-effective precision medicine strategies in the future.
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Affiliation(s)
- Katherine Payne
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
| | - Sean P Gavan
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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Real-World Implementation of Precision Psychiatry: A Systematic Review of Barriers and Facilitators. Brain Sci 2022; 12:brainsci12070934. [PMID: 35884740 PMCID: PMC9313345 DOI: 10.3390/brainsci12070934] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/08/2022] [Accepted: 07/12/2022] [Indexed: 01/27/2023] Open
Abstract
Background: Despite significant research progress surrounding precision medicine in psychiatry, there has been little tangible impact upon real-world clinical care. Objective: To identify barriers and facilitators affecting the real-world implementation of precision psychiatry. Method: A PRISMA-compliant systematic literature search of primary research studies, conducted in the Web of Science, Cochrane Central Register of Controlled Trials, PsycINFO and OpenGrey databases. We included a qualitative data synthesis structured according to the ‘Consolidated Framework for Implementation Research’ (CFIR) key constructs. Results: Of 93,886 records screened, 28 studies were suitable for inclusion. The included studies reported 38 barriers and facilitators attributed to the CFIR constructs. Commonly reported barriers included: potential psychological harm to the service user (n = 11), cost and time investments (n = 9), potential economic and occupational harm to the service user (n = 8), poor accuracy and utility of the model (n = 8), and poor perceived competence in precision medicine amongst staff (n = 7). The most highly reported facilitator was the availability of adequate competence and skills training for staff (n = 7). Conclusions: Psychiatry faces widespread challenges in the implementation of precision medicine methods. Innovative solutions are required at the level of the individual and the wider system to fulfil the translational gap and impact real-world care.
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Wright SJ, Newman WG, Payne K. Quantifying the Impact of Capacity Constraints in Economic Evaluations: An Application in Precision Medicine. Med Decis Making 2022; 42:538-553. [PMID: 34694170 PMCID: PMC9005833 DOI: 10.1177/0272989x211053792] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 09/26/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND Examples of precision medicine are complex interventions featuring both testing and treatment components. Because of this complexity, there are often barriers to the introduction of such interventions. Few economic evaluations attempt to determine the impact of these barriers on the cost-effectiveness of the intervention. This study presents a case study economic evaluation that illustrates how the value of implementation methods may be used to quantify the impact of capacity constraints in a decision-analytic model. METHODS A baseline decision-analytic model-based economic evaluation of ALK mutation testing was reproduced from a published technology appraisal. Three constraints (commissioning awareness, localization of testing, and pathology laboratory capacity) were identified using qualitative interviews, parameterized, and incorporated into the model. Value of implementation methods were used alongside incremental cost-effectiveness ratios (ICERs) to quantify the impact on the cost-effectiveness and net monetary benefit (NMB) of each capacity constraint and from the 3 constraints combined. RESULTS Each of the 3 capacity constraints resulted in a loss of NMB ranging from £7773 (0.1% of the total) per year for localized testing to £4,907,893 (77%) for a lack of awareness about commissioning ALK testing. When combined, the constraints resulted in a loss of NMB of £5,289,414 (83%). The localization and limited pathology capacity constraints slightly increased the ICER, but the lack of commissioning awareness constraint did not change the ICER. CONCLUSIONS Capacity constraints may have a significant impact on the NMB produced by examples of precision medicine. Value of implementation methods can be used to quantify the impact of such constraints by combining the impact of the constraints on the cost-effectiveness of the intervention with the impact on the number of patients receiving the intervention. HIGHLIGHTS While capacity constraints may prevent the use of precision medicine in clinical practice, economic evaluations rarely account for the impact of such barriers.This study demonstrates how constraints can be identified using qualitative methods and subsequently incorporated into decision-analytic models using quantitative value of implementation methods.In addition, this article demonstrates how value of implementation methods can be used to account for the impact of capacity constraints on the costs and benefits of an intervention as well as the number of patients receiving the intervention.In the case study presented herein, a capacity constraint reducing patient access to an example of precision medicine caused the biggest loss of net monetary benefit.Health economists should consider moving beyond incremental cost-effectiveness ratios to measures of total net monetary benefit to fully capture the impact of implementing precision medicine.
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Affiliation(s)
- Stuart J. Wright
- Manchester Centre for Health Economics, The University of Manchester, Manchester, Greater Manchester, UK
| | - William G. Newman
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester, Greater Manchester, UK
- Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, Greater Manchester, UK
| | - Katherine Payne
- Manchester Centre for Health Economics, The University of Manchester, Manchester, Greater Manchester, UK
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Ghahramani Almanghadim H, Ghorbian S, Khademi NS, Soleymani Sadrabadi M, Jarrahi E, Nourollahzadeh Z, Dastani M, Shirvaliloo M, Sheervalilou R, Sargazi S. New Insights into the Importance of Long Non-Coding RNAs in Lung Cancer: Future Clinical Approaches. DNA Cell Biol 2021; 40:1476-1494. [PMID: 34931869 DOI: 10.1089/dna.2021.0563] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
In mammals, a large part of the gene expression products come from the non-coding ribonucleotide sequences of the protein. These short and long sequences are within the range of tens to hundreds of nucleotides, encompassing more than 200 RNA molecules, and their function is known as the molecular structure of long non-coding RNA (lncRNA). LncRNA molecules are unique nucleotides that have a substantial role in epigenetic regulation, transcription, and post-transcriptional modifications in different ways. According to the results of recent studies, lncRNAs have been shown to assume various roles, including tumor suppression or oncogenic functions in common types of cancer such as lung and breast cancer. These non-coding RNAs (ncRNAs) play a pivotal role in activating transcription factors, managing the ribonucleoproteins, the framework for collecting co-proteins, intermittent processing regulations, chromatin status alterations, and maintaining the control within the cell. Cutting-edge technologies have been introduced to disclose several types of lncRNAs within the nucleus and the cytoplasm, which have accomplished important achievements that are applicable in medicine. Due to these efforts, various data centers have been created to facilitate and modify scientific information related to these molecules, including detection, classification, biological evolution, gene status, spatial structure, status, and location of these small molecules. In the present study, we attempt to present the impacts of these ncRNAs on lung cancer with an emphasis on their mechanisms and functions.
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Affiliation(s)
| | - Saeed Ghorbian
- Department of Molecular Genetics, Ahar Branch, Islamic Azad University, Ahar, Iran
| | - Nazanin Sadat Khademi
- Department of Genetics, Faculty of Biological Science, Shahid Beheshti University, Tehran, Iran
| | | | - Esmaeil Jarrahi
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Zahra Nourollahzadeh
- Department of Biological Science, Ahar Branch, Islamic Azad University, Ahar, Iran
| | - Masomeh Dastani
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Milad Shirvaliloo
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Saman Sargazi
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
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Hamilton JG, Banerjee SC, Carlsson SV, Vera J, Lynch KA, Sar-Graycar L, Martin CM, Parker PA, Hay JL. Clinician perspectives on communication and implementation challenges in precision oncology. Per Med 2021; 18:559-572. [PMID: 34674550 DOI: 10.2217/pme-2021-0048] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: To describe patient communication challenges encountered by oncology clinicians, which represent a fundamental barrier to implementing precision oncology. Materials & methods: We conducted three focus groups including breast, melanoma and thoracic oncology clinicians regarding their precision oncology communication experiences. Transcripts were reviewed and coded using inductive thematic text analysis. Results: We identified four themes: varied definitions of precision oncology exist, clinicians and patients face unique challenges to precision oncology implementation, patient communication challenges engendered or heightened by precision oncology implementation and clinician communication solutions and training needs. Conclusion: This study elucidated clinicians' perspectives on implementing precision oncology and related communication challenges. Understanding these challenges and developing strategies to help clinicians navigate these discussions are critical for ensuring that patients reap the full benefits of precision oncology.
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Affiliation(s)
- Jada G Hamilton
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10022, USA.,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.,Weill Cornell Medical College, New York, NY 10065, USA
| | - Smita C Banerjee
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10022, USA.,Weill Cornell Medical College, New York, NY 10065, USA
| | - Sigrid V Carlsson
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.,Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA.,Department of Urology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden
| | - Jacqueline Vera
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10022, USA
| | - Kathleen A Lynch
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10022, USA
| | - Lili Sar-Graycar
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10022, USA
| | - Chloé M Martin
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10022, USA
| | - Patricia A Parker
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10022, USA.,Weill Cornell Medical College, New York, NY 10065, USA
| | - Jennifer L Hay
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10022, USA.,Weill Cornell Medical College, New York, NY 10065, USA
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Wright SJ, Daker-White G, Newman W, Payne K. Understanding barriers to the introduction of precision medicine in non-small cell lung cancer: a qualitative interview study. Wellcome Open Res 2021. [DOI: 10.12688/wellcomeopenres.16528.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background: While treatments targeting genetic mutations and alterations in non-small cell lung cancer (NSCLC) have been available since 2010, the adoption of such examples of precision medicine into clinical practice has historically been slow. This means that patients with NSCLC may not have received life improving and extending treatments which should have been available to them. The purpose of this qualitative interview study was to identify the barriers to the provision of examples of precision medicine for NSCLC. Methods: This study used semi-structured telephone interviews with clinicians, test providers and service commissioners to identify the perceived barriers to providing historical, current, and future examples of precision medicine in NSCLC. Participants were identified through mailing list advertisements and snowball sampling. The qualitative data was analysed using a framework analysis. Results: Interviews were conducted with 11 participants including: five oncologists; three pathologists; two clinical geneticists; and one service commissioner. A total of 17 barriers to the introduction of precision medicine for NSCLC were identified and these were grouped into five themes: the regulation of precision medicine and tests; the commissioning and reimbursement of tests and the testing process; the complexity of the logistics around providing tests; centralisation or localisation of test provision; and opinions about future developments in precision medicine for NSCLC. Conclusions: A number of barriers exist to the introduction of precision medicine in NSCLC. Addressing these barriers may improve access to novel life improving and extending treatments for patients.
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Wright SJ, Paulden M, Payne K. Implementing Interventions with Varying Marginal Cost-Effectiveness: An Application in Precision Medicine. Med Decis Making 2020; 40:924-938. [PMID: 33081576 PMCID: PMC7583450 DOI: 10.1177/0272989x20954391] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 07/17/2020] [Indexed: 12/28/2022]
Abstract
Purpose. A range of barriers may constrain the effective implementation of strategies to deliver precision medicine. If the marginal costs and consequences of precision medicine vary at different levels of implementation, then such variation will have an impact on relative cost-effectiveness. This study aimed to illustrate the importance and quantify the impact of varying marginal costs and benefits on the value of implementation for a case study in precision medicine. Methods. An existing method to calculate the value of implementation was adapted to allow marginal costs and consequences of introducing precision medicine into practice to vary across differing levels of implementation. This illustrative analysis used a case study based on a published decision-analytic model-based cost-effectiveness analysis of a 70-gene recurrence score (MammaPrint) for breast cancer. The impact of allowing for varying costs and benefits for the value of the precision medicine and of implementation strategies was illustrated graphically and numerically in both static and dynamic forms. Results. The increasing returns to scale exhibited by introducing this specific example of precision medicine mean that a minimum level of implementation (51%) is required for using the 70-gene recurrence score to be cost-effective at a defined threshold of €20,000 per quality-adjusted life year. The observed variation in net monetary benefit implies that the value of implementation strategies was dependent on the initial and ending levels of implementation in addition to the magnitude of the increase in patients receiving the 70-gene recurrence score. In dynamic models, incremental losses caused by low implementation accrue over time unless implementation is improved. Conclusions. Poor implementation of approaches to deliver precision medicine, identified to be cost-effective using decision-analytic model-based cost-effectiveness analysis, can have a significant economic impact on health systems. Developing and evaluating the economic impact of strategies to improve the implementation of precision medicine will potentially realize the more cost-effective use of health care budgets.
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Affiliation(s)
- Stuart J. Wright
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, Greater Manchester, UK
| | - Mike Paulden
- School of Public Health, University of Alberta, Edmonton, AB, Canada
| | - Katherine Payne
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, Greater Manchester, UK
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Chambers P, Man KK, Lui VW, Mpima S, Nasuti P, Forster MD, Wong IC. Understanding Molecular Testing Uptake Across Tumor Types in Eight Countries: Results From a Multinational Cross-Sectional Survey. JCO Oncol Pract 2020; 16:e770-e778. [PMID: 32160136 PMCID: PMC7427415 DOI: 10.1200/jop.19.00507] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/19/2020] [Indexed: 01/03/2023] Open
Abstract
PURPOSE The growth in understanding of molecular biology and genomics has augmented the development of targeted cancer treatments; however, challenges exist in access to molecular testing, an essential precursor to treatment decision-making. We used data from a cross-sectional survey to evaluate the differences in uptake of molecular testing. METHODS Using the aggregated results of a questionnaire developed and distributed to clinicians by IQVIA, including treatment details and investigations undertaken for patients, we compared proportions of patients receiving molecular testing and targeted treatment by cancer type for the United Kingdom, France, Italy, Germany, Spain, South Korea, Japan, and China. We used multivariable logistic regression methods to understand the effect of country on the odds of receiving a molecular test. RESULTS There was a total of 61,491 cases. Across countries and cancer types, uptake rates for molecular testing ranged between 2% and 98%, with the greatest differences seen in gastric cancers (range, 23% to 70%), and significant variations were observed for both European and Asian countries. China consistently demonstrated a significantly reduced uptake for all molecular tests assessed; however; uptake of drug treatment in gastric cancers after testing positive for the human epidermal growth factor receptor 2 gene was higher than in some European countries (China, 85%; European range, 8% to 66%). The uptake of epidermal growth factor receptor gene testing was greater in some Asian countries relative to the United Kingdom, where incidence of lung cancer is higher (Japan: odds ratio, 3.1 [95% CI, 2.6 to 3.8]; South Korea: odds ratio, 2.7 [95% CI, 2 to 3.4]). CONCLUSION We have highlighted inequity in access to molecular testing and subsequent treatments across countries, which warrants improvements.
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Affiliation(s)
- Pinkie Chambers
- Research Department of Practice and Policy, School of Pharmacy, University College London (UCL), London, United Kingdom
- University College London Hospitals (UCLH) National Health Service (NHS) Foundation Trust/University College London Hospital-UCL Centre for Medicines Optimisation Research and Education, Cancer Division, London, United Kingdom
| | - Kenneth K.C. Man
- Research Department of Practice and Policy, School of Pharmacy, University College London (UCL), London, United Kingdom
- Centre for Safe Medication and Practice Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Vivian W.Y. Lui
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Sheila Mpima
- IQVIA Real-World & Analytics Solutions, London, United Kingdom
| | - Paola Nasuti
- IQVIA Real-World & Analytics Solutions, London, United Kingdom
| | - Martin D. Forster
- Department of Oncology, UCL Cancer Institute/UCLH NHS Foundation Trust, London, United Kingdom
| | - Ian C.K. Wong
- Research Department of Practice and Policy, School of Pharmacy, University College London (UCL), London, United Kingdom
- University College London Hospitals (UCLH) National Health Service (NHS) Foundation Trust/University College London Hospital-UCL Centre for Medicines Optimisation Research and Education, Cancer Division, London, United Kingdom
- Centre for Safe Medication and Practice Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
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Oh AC, Lee JK, Kim JY, Jin HO, Jung JW, Chang YH, Hong YJ. Utilization of Archived Plasma to Detect Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer Patients. Biopreserv Biobank 2019; 17:319-325. [PMID: 30888199 PMCID: PMC6703236 DOI: 10.1089/bio.2018.0126] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Precision medicine has received increased attention as an effective approach for the treatment of cancer patients. Because of challenges associated with the availability of archived tissue, liquid biopsies are often performed to detect cancer-specific mutations. One of the major advantages of the liquid biopsy is that the treatment can be monitored longitudinally, even after the tumor tissue is no longer available. In a clinical setting, one component of precision medicine is the detection of cancer-specific mutations using archived samples. In this study, we evaluated the epidermal growth factor receptor (EGFR) mutation status of samples of lung cancer patients stored before introduction of the plasma EGFR test at our institution. The aim of this study was to validate the utility of archived plasma samples for detection of the EGFR mutation in nonsmall cell lung cancer (NSCLC) patients. The Cobas® EGFR Mutation Test v2 was the first liquid biopsy test approved as a companion diagnostic test for patients with NSCLC treated with tyrosine kinase inhibitors. We tested for the EGFR mutation in 116 plasma samples archived in the biobank, and the results were compared with those obtained in the tissue or cytology EGFR mutation test. The EGFR mutation-positive rate from archived plasma was lower than that determined from tissue or cytology at 19.0% and 53.4%, respectively, and the concordance rate between the two tests was 58.6%. Of interest, five (4.3%) samples showed the T790M mutation in the plasma test, whereas this mutation was only detected in two (1.7%) tissue/cytology samples. Five (4.3%) samples were additionally positive in the plasma test. Overall, these results indicate that archived plasma samples can serve as an alternative source for the plasma EGFR mutation test when tissue samples are not available, and can improve precision medicine and long-term follow-up in a noninvasive manner.
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Affiliation(s)
- Ae-Chin Oh
- 1Department of Laboratory Medicine, Korea Cancer Center Hospital, Seoul, Republic of Korea
| | - Jin Kyung Lee
- 1Department of Laboratory Medicine, Korea Cancer Center Hospital, Seoul, Republic of Korea.,2KIRAMS Radiation Biobank, Korea Institute of Radiological and Medical Sciences, Seoul, Republic of Korea
| | - Ji-Young Kim
- 2KIRAMS Radiation Biobank, Korea Institute of Radiological and Medical Sciences, Seoul, Republic of Korea
| | - Hyeon-Ok Jin
- 2KIRAMS Radiation Biobank, Korea Institute of Radiological and Medical Sciences, Seoul, Republic of Korea
| | - Jae Won Jung
- 1Department of Laboratory Medicine, Korea Cancer Center Hospital, Seoul, Republic of Korea
| | - Yoon Hwan Chang
- 1Department of Laboratory Medicine, Korea Cancer Center Hospital, Seoul, Republic of Korea
| | - Young Jun Hong
- 1Department of Laboratory Medicine, Korea Cancer Center Hospital, Seoul, Republic of Korea
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