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Updated: Jan 16, 2026

Author Spotlight: Exploring the Role of Inflammation in the Co-occurrence of Primary Sjogren's Syndrome and Lung Adenocarcinoma
Published on: September 20, 2024
Prognostic value of systemic inflammation markers in early stage non-small cell lung cancer
Tevfik Ilker Akcam1, Ahmet Kayahan Tekneci2, Kutsal Turhan1
1Department of Thoracic Surgery, Ege University Faculty of Medicine, İzmir, Turkey.
Abstract:
The present study investigates the prognostic significance of systemic inflammation markers in patients with early-stage non-small cell lung cancer (NSCLC), who underwent surgical treatment. We retrospectively analyzed data from 2,159 patients, who underwent lung resection for stage I-IIA NSCLC in nine centers between the years 2010 and 2022. In order to compare survival, we grouped the patients by preoperative neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and pan-immune inflammation value (PIV). The mean overall survival (OS) was significantly shorter in patients with high NLR (102.7 vs. 109.4 months, p = 0.040). A low LMR was associated with worse OS (101 vs. 110.3 months, p < 0.001) and worse disease-free survival (DFS) (100.2 vs. 108.6 months, p = 0.020). A high PLR was a poor prognostic factor for both OS (104.1 vs. 110.1 months, p = 0.017) and DFS (102.5 vs. 108.7 months, p = 0.021). A high PIV was associated with worse DFS (101.2 vs. 109.8 months, p = 0.003). Patients with high PIV had longer time to chest tube removal (6.9 vs. 6.7 days, p = 0.049) and longer hospital stays (8.6 vs. 8.2 days, p < 0.001). Complication rates were higher in patients with lower LMR (33.8% vs. 29.4%, p = 0.028) and higher PLR (38.1% vs. 33.1%, p = 0.016). In our multicenter study, OS was worse in patients with high PLR, high NLR, and low LMR. DFS was worse in patients with high PIV, high PLR, and low LMR. NLR, LMR, PLR, and PIV were associated with OS and DFS in early-stage NSCLC, but none of the circulating inflammatory markers proved to be statistically significant in the multivariate analysis.
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