ArticleBiomarker research2025
Early kinetics of serum amyloid A predict clinical benefit to first-line chemoimmunotherapy and immunotherapy in advanced non-small cell lung cancer: a retrospective analysis.
Article in Biomarker research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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6 authors.
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Abstract
Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape for advanced non-small cell lung cancer (NSCLC), yet durable responses remain limited in a subset of patients. Serum amyloid A (SAA), an acute-phase protein linked to systemic inflammation, may reflect dynamic immune responses. This retrospective study analyzed 242 advanced NSCLC patients treated with first-line chemoimmunotherapy or immunotherapy between August 2016 and December 2024. Patients were stratified by early SAA kinetics into flare-responders (initial rise followed by decline), responders (sustained decline), and non-responders. Clinical outcomes, including progression-free survival (PFS) and overall survival (OS), were evaluated using Kaplan-Meier and Cox regression analyses. In the chemoimmunotherapy cohort, SAA flare-responders demonstrated significantly prolonged median PFS (29.8 months, 95% CI: 9.95-49.65; HR: 0.31, 95% CI: 0.15-0.64; p < 0.01) compared to non-responders (7.4 months, 95% CI: 4.67-10.13). Similarly, in the immunotherapy cohort, SAA flare-responders showed superior PFS. (19.9 vs. 2.1 months, HR 0.31, p < 0.01). Multivariate analysis confirmed early SAA kinetics as an independent prognostic factor for both PFS and OS in both treatment groups. Early SAA kinetics serve as a promising non-invasive biomarker for predicting clinical outcomes in advanced NSCLC treated with first-line chemoimmunotherapy or immunotherapy. These findings highlight SAA kinetics as a potential non-invasive biomarker and monitoring SAA dynamics may aid in identifying patients with higher likelihood of clinical benefit; however, prospective studies are required to determine its utility in guiding therapeutic decisions.
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