Biomarker-Guided Oncology Practice in Non–Small Cell Lung Cancer: Utilization Patterns, Turnaround Time, and Sector-Associated Access Barriers
Keywords:
Precision oncology, NSCLC, biomarker utilization, implementation barriers, molecular diagnostics, healthcare disparitiesAbstract
Background: Biomarker-guided therapy has become standard in advanced non-small cell lung cancer (NSCLC), yet real-world implementation varies across healthcare sectors. Objective: To evaluate biomarker utilization, turnaround time, and structural access barriers among oncology clinicians and to assess whether public-sector practice is associated with higher implementation burden. Methods: A cross-sectional survey of 125 oncology professionals assessed utilization of five NSCLC biomarkers, turnaround time for single-gene and next-generation sequencing testing, and frequency and severity of access barriers. A composite Barrier Burden Score was calculated, and sector-based comparisons were performed using ANOVA. Results: EGFR testing in ≥50% of eligible patients was reported by 64.8%, PD-L1 by 68.8%, and KRAS by 53.6%. NGS turnaround exceeded 21 days in 57.6% of respondents. Patient affordability (61.6%) and absence of reimbursement (52.0%) were the most frequently reported barriers. Public-sector clinicians demonstrated significantly higher Barrier Burden Scores compared with private-sector clinicians (17.96 ± 5.82 vs. 12.23 ± 5.23; mean difference 5.73; p = 0.003). High biomarker utilization (≥4/5 markers) was observed in 40.8%. Conclusion: Biomarker utilization was moderate and sectorally variable, with higher cumulative barrier burden associated with public-sector practice. Financial and infrastructural constraints correspond with implementation disparities and warrant targeted system-level interventions.
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Copyright (c) 2025 Tooba Aftab, Faryal Ilyas (Author)

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Copyright is retained by the Author(s). Published in JPMHR under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Unrestricted reuse is permitted with proper attribution to the author(s) and source.