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Updated: Feb 2, 2026

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing
Published on: October 10, 2025
Budget Impact of Next-Generation Sequencing for Molecular Assessment of Advanced Non-Small Cell Lung Cancer
Tiffany M Yu1, Carl Morrison2, Edward J Gold3
1Navigant Consulting, Inc., San Francisco, CA, USA.
Background:
Genetic testing for nonsquamous advanced non-small cell lung cancer (aNSCLC) is recommended to guide first-line therapy. Activating mutations can be identified via single-gene testing or next-generation sequencing (NGS).
Objectives:
To evaluate the budget impact of NGS instead of single-gene testing for tissue-based molecular assessment of aNSCLC from the US health care payer perspective.
Methods:
An annual cohort of newly diagnosed patients with nonsquamous aNSCLC in a hypothetical 1-million-member health care plan was evaluated using a Markov model over 5 years. Epidemiology and testing rates (EGFR, ALK, ROS1, BRAF, MET, HER2, and RET) were from the literature. Treatments were determined by available genetic information. Safety, progression, and survival with targeted therapy or chemotherapy were from randomized clinical trials. Single-gene testing and first-line and maintenance treatment costs were from RED BOOK and Medicare fee schedules; NGS testing, adverse event, and progression costs to payers were from the literature.
Results:
Three hundred sixteen testing-eligible patients with aNSCLC were expected annually, of whom 179 undergo genetic testing. Of 57 patients expected to have activating mutations, single-gene testing identified 35, whereas NGS identified 54. NGS, instead of single-gene testing, decreased expected testing procedure-related costs to the health plan payer by $24,651. First-line and maintenance treatment costs increased by $842,205, offset by a $385,000 decrease in second-line treatment and palliative care costs. Over 5 years, total budget impact was $432,554 ($0.0072 per member per month).
Conclusions:
NGS is expected to identify more patients with activating mutations, thereby better enabling selection for targeted therapy and clinical trial enrollment. The budget impact to US payers is expected to be minimally cost-additive.
Insights
Next-generation sequencing (NGS) identifies more advanced non-small cell lung cancer (aNSCLC) mutations than single-gene tests. While NGS has a minimal cost impact, it improves targeted therapy selection for patients with aNSCLC.
Area of Science:
- Oncology
- Genomics
- Health Economics
Background:
- Genetic testing is crucial for guiding first-line therapy in advanced non-small cell lung cancer (aNSCLC).
- Activating mutations in aNSCLC can be detected through single-gene testing or next-generation sequencing (NGS).
Purpose of the Study:
- To evaluate the budget impact of using NGS versus single-gene testing for molecular assessment in aNSCLC from a US healthcare payer perspective.
- To compare the diagnostic yield and cost-effectiveness of different genetic testing strategies.
Main Methods:
- A 5-year Markov model evaluated an annual cohort of newly diagnosed nonsquamous aNSCLC patients within a 1-million-member health plan.
- Epidemiology, testing rates, and treatment outcomes were derived from literature and clinical trials.
- Costs for single-gene testing, NGS, and treatments were obtained from standard databases and literature.
Main Results:
- NGS identified more activating mutations (54 patients) compared to single-gene testing (35 patients) among 57 expected cases.
- NGS testing reduced procedure costs by $24,651 but increased first-line treatment costs by $842,205.
- The overall 5-year budget impact of NGS was $432,554, representing a minimal increase per member per month ($0.0072).
Conclusions:
- NGS is expected to increase the identification of patients with activating mutations, facilitating targeted therapy and clinical trial enrollment.
- The budget impact of implementing NGS for aNSCLC molecular testing is minimally cost-additive for US healthcare payers.
- NGS offers a more comprehensive approach to molecular profiling in aNSCLC, potentially improving patient outcomes.
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