ArticleAnnals of medicine2025
Prognostic value of baseline and absolute change of inflammatory markers in patients with thymic epithelial tumors.
Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- An interpretable machine learning approach using nnU-Net-based radiomics for preoperative risk stratification of thymic epithelial tumors: a multicenter study.BMC medical imaging · 2026Article
- Prognostic and predictive biomarkers in thymic epithelial tumors: beyond traditional staging: a narrative review.Mediastinum (Hong Kong, China) · 2026Review
- The predictive value of dynamic changes in neutrophil-to-lymphocyte ratio for the prognosis of hepatocellular carcinoma patients treated with transarterial chemoembolization.Discover oncology · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aims to investigate the prognostic value of baseline and absolute changes of inflammatory markers in thymic epithelial tumors (TETs).
methodsThis real-world study enrolled 147 patients. Inflammatory markers, including baseline and absolute changes of platelet-to-lymphocyte (PLR), platelet-to-monocyte (PMR), lymphocyte-to-monocyte (LMR), and neutrophil-to-lymphocyte ratio (NLR), were retrospectively collected. Survival analysis was conducted using Kaplan-Meier analysis. Lasso and multivariate Cox regression were conducted to assess the relationship between disease-free survival (DFS), overall survival (OS) and inflammatory markers. Predictive nomograms were constructed by variables identified in Cox regression.
resultsHigher baseline NLR and PLR, lower baseline LMR and PMR, a greater change in PLR and smaller changes in LMR, PMR, and PNR related to inferior DFS and OS. Multivariate Cox regression identified higher baseline PLR and advanced Masaoka Stage were risk, while higher baseline PMR was protective OS factors. Age, higher baseline PLR, and advanced Masaoka Stage were risk DFS factors. A greater absolute PLR change and metastasis were risk, while a lower absolute PMR change was protective OS factors. Age and a greater absolute PLR change were risk, while a greater absolute LMR change was favorable DFS factors.
conclusionsThe present study is the first to reveal the prognostic role of the baseline and absolute changes of inflammatory markers in TETs. The prognostic models based on these inflammatory markers offer promising tools for predicting the prognosis of TET patients.
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