Raungrut Pritsana, Chiangjong Wararat, Masjon Thipphanet, Maungchanburi Saowanee, Ruklert Thidarat, Nakwan Narongwit
Division of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand.
Pediatric Translational Research Unit, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand.
Biomedicines. 2025 Jun 30;13(7):1608. doi: 10.3390/biomedicines13071608.
: Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) significantly enhance the median survival of patients with lung adenocarcinoma (ADC) that harbor EGFR-sensitive mutations. However, most patients inevitably experience tumor relapse owing to drug resistance. We aimed to identify potential serum biomarkers for predicting post-EGFR-TKI treatment relapse in patients with advanced-stage lung ADC. : Among 27 patients, including 6 and 21 with early and late relapse, respectively, differentially expressed proteins between patients with early and late relapses were identified using liquid chromatography and tandem mass spectrometry and subsequently validated using Western blotting. Predictive ability was assessed using the receiver operating characteristic curve and area under the curve (AUC) analysis. The association between the clinical variables and treatment response was evaluated using the chi-square test. : The serum expression levels of the translocated promoter region (TPR), junction plakoglobin (JUP), and fibrinogen alpha chain (FGA) were significantly higher in patients with late rather than early relapse. The findings indicated that TPR and FGA exhibited good diagnostic performance, with AUCs of 0.946 ( = 0.002; 95% confidence interval [CI], 0.84-1.05) and 0.809 ( = 0.034; 95% CI, 0.65-0.97), respectively. : Our results suggest that the TPR and FGA levels are potential predictors of post-EGFR-TKI treatment relapse.
表皮生长因子受体酪氨酸激酶抑制剂(EGFR-TKIs)显著提高了携带EGFR敏感突变的肺腺癌(ADC)患者的中位生存期。然而,大多数患者不可避免地会因耐药而出现肿瘤复发。我们旨在确定潜在的血清生物标志物,以预测晚期肺ADC患者EGFR-TKI治疗后的复发情况。:在27例患者中,分别有6例和21例出现早期和晚期复发,使用液相色谱和串联质谱法鉴定早期和晚期复发患者之间差异表达的蛋白质,随后使用蛋白质印迹法进行验证。使用受试者工作特征曲线和曲线下面积(AUC)分析评估预测能力。使用卡方检验评估临床变量与治疗反应之间的关联。:晚期复发患者的转位启动子区域(TPR)、桥粒斑珠蛋白(JUP)和纤维蛋白原α链(FGA)的血清表达水平显著高于早期复发患者。研究结果表明,TPR和FGA表现出良好的诊断性能,AUC分别为0.946( = 0.002;95%置信区间[CI],0.84 - 1.05)和0.809( = 0.