Evidence map›Paper›PMID 41437935›Full record

ArticleTherapeutic advances in medical oncology2025

A cost-effectiveness analysis model of actionable genomic alteration testing strategies incorporating different modalities and sizes of next-generation sequencing panels in non-small-cell lung cancer.

Yvonne L E Ang, Jian Chun Matthew Ong, Yiqing Huang, Jia Li Low, Kenneth Sooi, Jorn Nützinger, Xiao Jun Wang, Meaghan Gibbs, Boon Cher Goh, Ross A Soo

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Article in Therapeutic advances in medical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yvonne L E AngDepartment of Haematology-Oncology, National University Cancer Institute Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-4020-5436
Jian Chun Matthew OngNovartis (Singapore) Pte Ltd, Singapore, Singapore.
Yiqing HuangDepartment of Haematology-Oncology, National University Cancer Institute Singapore, Singapore, Singapore.
Jia Li LowDepartment of Haematology-Oncology, National University Cancer Institute Singapore, Singapore, Singapore.
Kenneth SooiDepartment of Haematology-Oncology, National University Cancer Institute Singapore, Singapore, Singapore.ORCID https://orcid.org/0009-0005-5806-8440
Jorn NützingerDepartment of Haematology-Oncology, National University Cancer Institute Singapore, Singapore, Singapore.
Xiao Jun WangNovartis (Singapore) Pte Ltd, Singapore, Singapore.
Meaghan GibbsNovartis Pharma Services AG, Dubai, United Arab Emirates.
Boon Cher GohDepartment of Haematology-Oncology, National University Cancer Institute Singapore, Singapore, Singapore.
Ross A SooDepartment of Haematology-Oncology, National University Cancer Institute Singapore, 1E Kent Ridge Road, Singapore 119228, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prompt identification of actionable genomic alterations (AGAs) is essential in guiding treatment decisions in newly diagnosed advanced non-small-cell lung cancer (NSCLC). Objectives: We aimed to determine the optimal testing strategy in terms of proportion of AGAs detected, time-to-treatment decision (TTTD) and average costs/patient in Singapore, a high-frequency AGA population. Design: A model was constructed to evaluate AGA testing strategies, comparing the cost-effectiveness and budget impact of each strategy. Methods: The 24 strategies studies included (1) upfront tissue/plasma next-generation sequencing (NGS) alone (small/medium/large panel), (2) exclusionary tissue single-gene testing (EGFR, ALK and ROS1) followed by tissue/plasma NGS, (3) exclusionary plasma EGFR followed by tissue or plasma NGS, (4) sequential single-gene testing followed by tissue/plasma NGS, (5) exclusionary or sequential testing without NGS and (6) small panel tissue NGS with fluorescence in situ hybridization (FISH) for ALK, ROS1, RET and MET. Literature review was performed to determine the incidence of NSCLC and the prevalence of each AGA in the population; costs, gene coverage and turnaround times were sourced through market research. Results: AGAs and EGFR mutations occurred in 76.7% and 56.0% of patients, respectively. Upfront medium panel tissue NGS detected all AGAs at USD1813/patient, with a TTTD of 7 days-no benefit was seen from using large panel tissue NGS at a higher cost. Exclusionary tissue testing followed by medium panel tissue NGS detected 98.9% of AGAs at USD1506/patient, with a TTTD of 14.9 days. Exclusionary plasma EGFR testing followed by medium panel tissue NGS detected 98.3% of AGAs at USD1047/patient, with a TTTD of 8.4 days. Upfront small panel tissue NGS with FISH also detected 98.3% of AGAs at a cost of USD798/patient, with a TTTD of 14 days. Conclusion: In our high EGFR-mutation prevalence population, exclusionary plasma EGFR followed by medium panel tissue NGS was cost-effective. Our analysis provides insight on NGS testing strategies of different gene panel sizes and sample types.

Indexed as

cost-effectiveness analysisliquid biopsymolecular profilingnon-small cell lung canceroncogenic driver mutations

Identifiers

PMID41437935
PMCPMC12719587

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