Costs of biomarker testing in advanced non-small cell lung cancer: a global study comparing next-generation sequencing and single-gene testing
Current European/US guidelines recommend that molecular testing in advanced non-small cell lung cancer (aNSCLC) be performed using next-generation sequencing (NGS). However, the global uptake of NGS is limited, largely owing to reimbursement constraints. We compared real-world costs of NGS and singl...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
March 2025
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| In: |
The journal of pathology: clinical research
Year: 2025, Jahrgang: 11, Heft: 2, Pages: 1-14 |
| ISSN: | 2056-4538 |
| DOI: | 10.1002/2056-4538.70018 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1002/2056-4538.70018 Verlag, kostenfrei, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/2056-4538.70018 
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| Verfasserangaben: | Umberto Malapelle, Chien-Chin Chen, Enrique de Álava, Paul Hofman, Daniel Kazdal, Tae-Jung Kim, Tony Kiat Hon Lim, Aleš Ryška, Angelica A Saetta, Ed Schuuring, Giancarlo Troncone, Michele Biscuola, Yi-Lin Chen, Gek San Tan, Charles Hugo Marquette, Maria Michelli, Arja ter Elst, Hana Vošmiková, Joshua Kapp, Sebastian Gonzalez-McQuire, Andromachi Giannopoulou, Jean Marie Franzini, Victoria Lucia Rabsiun Aramburu, Anna Baggi and Albrecht Stenzinger |
MARC
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| 245 | 1 | 0 | |a Costs of biomarker testing in advanced non-small cell lung cancer |b a global study comparing next-generation sequencing and single-gene testing |c Umberto Malapelle, Chien-Chin Chen, Enrique de Álava, Paul Hofman, Daniel Kazdal, Tae-Jung Kim, Tony Kiat Hon Lim, Aleš Ryška, Angelica A Saetta, Ed Schuuring, Giancarlo Troncone, Michele Biscuola, Yi-Lin Chen, Gek San Tan, Charles Hugo Marquette, Maria Michelli, Arja ter Elst, Hana Vošmiková, Joshua Kapp, Sebastian Gonzalez-McQuire, Andromachi Giannopoulou, Jean Marie Franzini, Victoria Lucia Rabsiun Aramburu, Anna Baggi and Albrecht Stenzinger |
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| 520 | |a Current European/US guidelines recommend that molecular testing in advanced non-small cell lung cancer (aNSCLC) be performed using next-generation sequencing (NGS). However, the global uptake of NGS is limited, largely owing to reimbursement constraints. We compared real-world costs of NGS and single-gene testing (SGT) in nonsquamous aNSCLC. This observational study was conducted across 10 pathology centers in 10 different countries worldwide. Biomarker data collected via structured questionnaires (1 January-31 December 2021) were used to feed micro-costing analyses for three scenarios [‘Starting Point’ (SP; 2021-2022), ‘Current Practice’ (CP; 2023-2024), and ‘Future Horizons’ (FH; 2025-2028)] in both a real-world model, comprising all biomarkers tested by each center, and a standardized model, comprising the same sets of biomarkers across centers. Testing costs (including retesting) encompassed personnel costs, consumables, equipment, and overheads. Overall, 4,491 patients with aNSCLC were evaluated. Mean per-patient costs decreased for NGS relative to SGT over time, with real-world model costs 18% lower for NGS than for SGT in the SP scenario, and 26% lower for NGS than for SGT in the CP scenario. Mean per-biomarker costs also decreased over time for NGS relative to SGT. In the standardized model, the tipping point for the minimum number of biomarkers required for NGS to result in cost savings (per patient) was 10 and 12 in the SP and CP scenarios, respectively. Retesting had a negligible impact on cost analyses, and results were robust to variation in cost parameters. This study provides robust real-world global evidence for cost savings with NGS-based panels over SGT to evaluate predictive biomarkers in nonsquamous aNSCLC when the number of biomarkers to be tested exceeds 10. Widespread adoption of NGS may enable more efficient use of limited healthcare resources. | ||
| 650 | 4 | |a cost comparison | |
| 650 | 4 | |a next-generation sequencing | |
| 650 | 4 | |a NSCLC | |
| 650 | 4 | |a precision medicine | |
| 650 | 4 | |a predictive biomarker | |
| 650 | 4 | |a single-gene testing | |
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