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Optimising primary molecular profiling in non-small cell lung cancer

Molecular profiling of NSCLC is essential for optimising treatment decisions, but often incomplete. We assessed the efficacy of protocolised molecular profiling in the current standard-of-care (SoC) in a prospective observational study in the Netherlands and measured the effect of providing standard...

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Published in:PloS one 2024-07, Vol.19 (7), p.e0290939
Main Authors: Schouten, R D, Schouten, I, Schuurbiers, M M F, van der Noort, V, Damhuis, R A M, van der Heijden, E H F M, Burgers, J A, Barlo, N P, van Lindert, A S R, Maas, K W, van den Brand, J J G, Smit, A A J, van Haarst, J M W, van der Maat, B, Schuuring, E, Blaauwgeers, H, Willems, S M, Monkhorst, K, van den Broek, D, van den Heuvel, M M
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Language:English
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Summary:Molecular profiling of NSCLC is essential for optimising treatment decisions, but often incomplete. We assessed the efficacy of protocolised molecular profiling in the current standard-of-care (SoC) in a prospective observational study in the Netherlands and measured the effect of providing standardised diagnostic procedures. We also explored the potential of plasma-based molecular profiling in the primary diagnostic setting. This multi-centre prospective study was designed to explore the performance of current clinical practice during the run-in phase using local SoC tissue profiling procedures. The subsequent phase was designed to investigate the extent to which comprehensive molecular profiling (CMP) can be maximized by protocolising tumour profiling. Successful molecular profiling was defined as completion of at least EGFR and ALK testing. Additionally, PD-L1 tumour proportions scores were explored. Lastly, the additional value of centralised plasma-based testing for EGFR and KRAS mutations using droplet digital PCR was evaluated. Total accrual was 878 patients, 22.0% had squamous cell carcinoma and 78.0% had non-squamous NSCLC. Stage I-III was seen in 54.0%, stage IV in 46.0%. Profiling of EGFR and ALK was performed in 69.9% of 136 patients included in the run-in phase, significantly more than real-world data estimates of 55% (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0290939