Li Huiting, Wang Boyan, Chen Donglai, Chen Yongbing, Fan Min, Wen Junmiao, Chen Jiayan
Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.
Deparment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Ann Med. 2025 Dec;57(1):2512434. doi: 10.1080/07853890.2025.2512434. Epub 2025 Jun 5.
This study aims to investigate the prognostic value of baseline and absolute changes of inflammatory markers in thymic epithelial tumors (TETs).
This 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.
Higher 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.
The 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.
本研究旨在探讨炎症标志物的基线水平及绝对变化在胸腺上皮肿瘤(TETs)中的预后价值。
这项真实世界研究纳入了147例患者。回顾性收集炎症标志物,包括血小板与淋巴细胞比值(PLR)、血小板与单核细胞比值(PMR)、淋巴细胞与单核细胞比值(LMR)以及中性粒细胞与淋巴细胞比值(NLR)的基线水平及绝对变化。采用Kaplan-Meier分析进行生存分析。进行Lasso和多变量Cox回归以评估无病生存期(DFS)、总生存期(OS)与炎症标志物之间的关系。通过Cox回归中确定的变量构建预测列线图。
较高的基线NLR和PLR、较低的基线LMR和PMR、PLR的较大变化以及LMR、PMR和PNR的较小变化与较差的DFS和OS相关。多变量Cox回归确定较高的基线PLR和Masaoka分期晚期是危险因素,而较高的基线PMR是OS的保护因素。年龄、较高的基线PLR和Masaoka分期晚期是DFS的危险因素。PLR的绝对变化较大和转移是危险因素,而PMR的绝对变化较小是OS的保护因素。年龄和PLR的绝对变化较大是危险因素,而LMR的绝对变化较大是DFS的有利因素。
本研究首次揭示了炎症标志物的基线水平及绝对变化在TETs中的预后作用。基于这些炎症标志物的预后模型为预测TET患者的预后提供了有前景的工具。