Wu Xiao-Hui, Huang Xu-Yun, You Qi, Zhu Jun-Ming, Qiu Qian-Ren-Shun, Lin Yun-Zhi, Xu Ning, Wei Yong, Xue Xue-Yi, Chen Ye-Hui, Chen Shao-Hao, Zheng Qing-Shui
Department of Urology, Urology Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Department of Urology, National Region Medical Centre, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Clin Transl Oncol. 2025 Apr;27(4):1798-1815. doi: 10.1007/s12094-024-03719-7. Epub 2024 Sep 13.
This study aimed to explore the Liquid-liquid phase separation (LLPS)-related genes associated with the prognosis of bladder cancer (BCa) and assess the potential application of LLPS-related prognostic signature for predicting prognosis in BCa patients.
Clinical information and transcriptome data of BCa patients were extracted from the Cancer Genome Atlas-BLCA (TCGA-BLCA) database and the GSE13507 database. Furthermore, 108 BCa patients who received treatment at our institution were subjected to a retrospective analysis. The least absolute shrinkage and selection operator (LASSO) analysis was performed to develop an LLPS-related prognostic signature for BCa. The CCK8, wound healing and Transwell assays were performed.
Based on 62 differentially expressed LLPS-related genes (DELRGs), three DELRGs were screened by LASSO analysis including kallikrein-related peptidase 5 (KLK5), monoacylglycerol O-acyltransferase 2 (MOGAT2) and S100 calcium-binding protein A7 (S100A7). Based on three DELRGs, a novel LLPS-related prognostic signature was constructed for individualized prognosis assessment. Kaplan-Meier curve analyses showed that LLPS-related prognostic signature was significantly correlated with overall survival (OS) of BCa. ROC analyses demonstrated the LLPS-related prognostic signature performed well in predicting the prognosis of BCa patients in the training group (the area under the curve (AUC) = 0.733), which was externally verified in the validation cohort 1 (AUC = 0.794) and validation cohort 2 (AUC = 0.766). Further experiments demonstrated that inhibiting KLK5 could affect the proliferation, migration, and invasion of BCa cells.
In this study, a novel LLPS-related prognostic signature was successfully developed and validated, demonstrating strong performance in predicting the prognosis of BCa patients.
本研究旨在探索与膀胱癌(BCa)预后相关的液-液相分离(LLPS)相关基因,并评估LLPS相关预后特征在预测BCa患者预后中的潜在应用。
从癌症基因组图谱-膀胱癌(TCGA-BLCA)数据库和GSE13507数据库中提取BCa患者的临床信息和转录组数据。此外,对在我们机构接受治疗的108例BCa患者进行回顾性分析。进行最小绝对收缩和选择算子(LASSO)分析以建立BCa的LLPS相关预后特征。进行CCK8、伤口愈合和Transwell实验。
基于62个差异表达的LLPS相关基因(DELRGs),通过LASSO分析筛选出3个DELRGs,包括激肽释放酶相关肽酶5(KLK5)、单酰甘油O-酰基转移酶2(MOGAT2)和S100钙结合蛋白A7(S100A7)。基于这3个DELRGs,构建了一种新的LLPS相关预后特征用于个体化预后评估。Kaplan-Meier曲线分析表明,LLPS相关预后特征与BCa的总生存期(OS)显著相关。ROC分析表明,LLPS相关预后特征在训练组预测BCa患者预后方面表现良好(曲线下面积(AUC)=0.733),在验证队列1(AUC=0.794)和验证队列2(AUC=0.766)中得到外部验证。进一步实验表明,抑制KLK5可影响BCa细胞的增殖、迁移和侵袭。
在本研究中,成功开发并验证了一种新的LLPS相关预后特征,在预测BCa患者预后方面表现出强大性能。