Suppr超能文献

全蛋白质组分析揭示了用于建立预测结直肠癌临床结果的预后特征的TFEB靶点。

Proteome-Wide Analysis Reveals TFEB Targets for Establishment of a Prognostic Signature to Predict Clinical Outcomes of Colorectal Cancer.

作者信息

Huang Zijia, Zhu Sheng, Han Ziqin, Li Chen, Liang Junze, Wang Yang, Zhang Shuixing, Zhang Jing

机构信息

Department of Radiology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510613, China.

MOE Key Laboratory of Tumor Molecular Biology, Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.

出版信息

Cancers (Basel). 2023 Jan 25;15(3):744. doi: 10.3390/cancers15030744.

Abstract

Dephosphorylation of transcription factor EB (TFEB) at Ser142 and Ser138 determines its nuclear localization and transcriptional activity. The link between TFEB-associated genes and colorectal cancer (CRC) progression and prognosis remains unclear. To systematically identify the targets of TFEB, we performed data-independent acquisition (DIA)-based quantitative proteomics to compare global protein changes in wild-type (WT) DLD1 cells and TFEB- or TFEB (activated status)-expressing DLD1 cells. A total of 6048 proteins were identified and quantified in three independent experiments. The differentially expressed proteins in TFEB versus TFEB and TFEB versus control groups were compared, and 60 proteins were identified as products of TFEB transcriptional regulation. These proteins were significantly associated with vesicular endocytic trafficking, the HIF-1 signaling pathway, and metabolic processes. Furthermore, we generated a TFEB-associated gene signature using a univariate and LASSO Cox regression model to screen robust prognostic markers. An eight-gene signature (, , , , , , , and ) was identified. According to the signature, patients were assigned to high-risk and low-risk groups. Higher risk scores meant worse overall survival and higher epithelial-mesenchymal transition (EMT) scores. Additionally, as per the clinicopathological parameters and gene signature, a nomogram was constructed that was utilized to enhance the quantification capacity in risk assessment for individual patients. This research shows that TFEB directly mediates network effects in CRC, and the identified TFEB gene signature-based model may provide important information for the clinical judgment of prognosis.

摘要

转录因子EB(TFEB)在Ser142和Ser138位点的去磷酸化决定了其核定位和转录活性。TFEB相关基因与结直肠癌(CRC)进展及预后之间的联系仍不清楚。为了系统地鉴定TFEB的靶标,我们进行了基于数据非依赖采集(DIA)的定量蛋白质组学研究,以比较野生型(WT)DLD1细胞以及表达TFEB或TFEB(激活状态)的DLD1细胞中的整体蛋白质变化。在三个独立实验中总共鉴定并定量了6048种蛋白质。比较了TFEB与TFEB以及TFEB与对照组之间差异表达的蛋白质,鉴定出60种蛋白质为TFEB转录调控的产物。这些蛋白质与囊泡内吞运输、HIF-1信号通路和代谢过程显著相关。此外,我们使用单变量和LASSO Cox回归模型生成了TFEB相关基因特征,以筛选可靠的预后标志物。鉴定出一个八基因特征(,,,,,,,和)。根据该特征,将患者分为高风险和低风险组。风险评分越高意味着总生存期越差,上皮-间质转化(EMT)评分越高。此外,根据临床病理参数和基因特征构建了列线图,用于提高个体患者风险评估中的量化能力。这项研究表明,TFEB在CRC中直接介导网络效应,并且所鉴定的基于TFEB基因特征的模型可能为预后的临床判断提供重要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/198d/9913156/c9ea50ceba31/cancers-15-00744-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验