Cost Analysis of Noninvasive Blood-Based MicroRNA Testing Versus CT Scans for Follow-up in Patients With Testicular Germ-Cell Tumors.


Journal

Clinical genitourinary cancer
ISSN: 1938-0682
Titre abrégé: Clin Genitourin Cancer
Pays: United States
ID NLM: 101260955

Informations de publication

Date de publication:
08 2019
Historique:
received: 10 01 2019
revised: 05 03 2019
accepted: 18 03 2019
pubmed: 4 6 2019
medline: 17 4 2020
entrez: 4 6 2019
Statut: ppublish

Résumé

Our group has developed a noninvasive blood-based microRNA (miRNA) test for improving diagnosis, disease monitoring, and relapse detection in malignant testicular germ-cell tumors (TGCTs). Performance analysis suggests the test is likely to have comparable sensitivity and specificity in detecting TGCT as computed tomography (CT), thus reducing the need for serial CT scans for follow-up monitoring, with associated reductions in cumulative radiation burden and second cancer risk. To facilitate clinical adoption, we undertook a cost analysis to identify the budget impact of replacing CT scans with miRNA testing within health care systems. The TGCT aftercare pathway was mapped out using National Comprehensive Cancer Network guidelines. A Markov model was built to simulate the impact of the miRNA test on TGCT aftercare costs. Incidence, treatment probabilities, relapse rate, and death rate data were collected from published studies to populate the model. Applying our model to the US health care system, the miRNA test has the potential to save up to $69 million per year in aftercare expenses related to TGCT treatment, with exact savings depending on the adoption rate and test price. This analysis demonstrates the potential positive budget impact of adopting miRNA testing in place of CT scans in the clinical management of TGCTs.

Sections du résumé

BACKGROUND
Our group has developed a noninvasive blood-based microRNA (miRNA) test for improving diagnosis, disease monitoring, and relapse detection in malignant testicular germ-cell tumors (TGCTs). Performance analysis suggests the test is likely to have comparable sensitivity and specificity in detecting TGCT as computed tomography (CT), thus reducing the need for serial CT scans for follow-up monitoring, with associated reductions in cumulative radiation burden and second cancer risk. To facilitate clinical adoption, we undertook a cost analysis to identify the budget impact of replacing CT scans with miRNA testing within health care systems.
METHODS
The TGCT aftercare pathway was mapped out using National Comprehensive Cancer Network guidelines. A Markov model was built to simulate the impact of the miRNA test on TGCT aftercare costs. Incidence, treatment probabilities, relapse rate, and death rate data were collected from published studies to populate the model.
RESULTS
Applying our model to the US health care system, the miRNA test has the potential to save up to $69 million per year in aftercare expenses related to TGCT treatment, with exact savings depending on the adoption rate and test price.
CONCLUSION
This analysis demonstrates the potential positive budget impact of adopting miRNA testing in place of CT scans in the clinical management of TGCTs.

Identifiants

pubmed: 31155478
pii: S1558-7673(19)30107-7
doi: 10.1016/j.clgc.2019.03.015
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
MicroRNAs 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e733-e744

Informations de copyright

Copyright © 2019. Published by Elsevier Inc.

Auteurs

Daniel Charytonowicz (D)

Bioscience Enterprise, University of Cambridge, Cambridge, England, UK; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY.

Harry Aubrey (H)

Bioscience Enterprise, University of Cambridge, Cambridge, England, UK.

Chantelle Bell (C)

Bioscience Enterprise, University of Cambridge, Cambridge, England, UK.

Maeline Ferret (M)

Bioscience Enterprise, University of Cambridge, Cambridge, England, UK.

Keith Tsui (K)

Bioscience Enterprise, University of Cambridge, Cambridge, England, UK.

Rachel Atfield (R)

Cambridge Enterprise Ltd, University of Cambridge, The Hauser Forum, Cambridge, England, UK.

Nicholas Coleman (N)

Department of Pathology, University of Cambridge, Cambridge, England, UK; Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England, UK. Electronic address: nc109@cam.ac.uk.

Matthew J Murray (MJ)

Department of Pathology, University of Cambridge, Cambridge, England, UK; Department of Paediatric Haematology and Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England, UK. Electronic address: mjm16@cam.ac.uk.

Edward C F Wilson (ECF)

Cambridge Centre for Health Services Research, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, England, UK. Electronic address: Ed.Wilson@uea.ac.uk.

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Classifications MeSH