Driver mutations and malignant pleural effusion in non-small cell lung cancer

非小细胞肺癌中的驱动基因突变和恶性胸腔积液

阅读:1

Abstract

BACKGROUND: Malignant pleural effusion (MPE) complicates approximately 50% of non-small cell lung cancer (NSCLC) cases, signaling advanced disease and poor patient outcomes. While molecular alterations such as ALK, ROS1, and T790M mutations, as well as PD-L1 expression, are critical in NSCLC progression, their relationship with MPE development remains inadequately characterized. METHODS: This retrospective cohort study examined 130 NSCLC patients (52 with MPE, 78 without MPE). Clinical characteristics and comprehensive molecular profiles were analyzed using next-generation sequencing. Statistical comparisons were performed, and a Least Absolute Shrinkage and Selection Operator (LASSO) regularized logistic regression model identified independent predictors of MPE. Model performance was evaluated using receiver operating characteristic (ROC) analysis. RESULTS: PD-L1 expression demonstrated a significant association with MPE development (Odds ratio = 2.78, p < 0.01), nearly tripling the likelihood of effusion. The presence of ALK, ROS1, and T790M mutations (combined OR = 2.41, p < 0.05) also showed predictive value for MPE formation. Several clinical factors independently correlated with MPE, including advanced age, heavy smoking history (> 50 pack-years), and right inferior lobe tumor location (all p < 0.05). The predictive model demonstrated robust performance with an area under the curve of 0.80. CONCLUSIONS: These findings establish important associations between specific driver mutations and PD-L1 expression in relation to MPE development in NSCLC patients. Identifying these genetic and clinical predictors may enhance risk stratification approaches and guide personalized treatment strategies, especially for those with advanced disease. Further prospective validation studies are needed to confirm these associations and explore their therapeutic implications.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。