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整合素β6通过生物信息学分析和实验验证提示颅咽管瘤预后不良。

Integrin 6 Indicates a Poor Prognosis of Craniopharyngioma through Bioinformatic Analysis and Experimental Validation.

作者信息

Jia Yanfei, Wu Wentao, Xiao Youchao, Cai Kefan, Gui Songbai, Li Qiang, Li Tian

机构信息

Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.

Department of Neurosurgery, The Second Affiliated Hospital of Lanzhou University, Lanzhou 730000, China.

出版信息

J Oncol. 2022 Oct 11;2022:6891655. doi: 10.1155/2022/6891655. eCollection 2022.

Abstract

BACKGROUND

Craniopharyngioma (CP) is a benign slow-growing tumor. It tends to affect children, and the number of patients is on rise. Considering the high morbidity and mortality of CP, it is urgent and pivotal to identify new biomarkers to uncover the etiology and pathogenesis of CP.

METHODS

The "limma" package was utilized to calculate the data from the Gene Expression Omnibus (GEO) database. Based on differentially expressed genes (DEGs), gene ontology and pathway analysis were deduced from the DAVID web tool. Further, we constructed a protein-protein interaction (PPI) network. Weighted correlation network analysis (WGCNA) was utilized to build a coexpression network. Finally, Western blotting and survival analysis were performed to examine the expression level of important metabolism-related genes.

RESULTS

Three hundred and eighty-four DEGs were identified between normal tissues and CPs from the GSE94349 and GSE26966 datasets. The Venn diagram for DEGs and hub genes in the 'turquoise' module revealed four key genes. Finally, the outcome of the survival analysis suggested that Integrin 6 (ITGA6) significantly affected the overall survival time of the patients with CP.

CONCLUSION

IGTA6, as a metabolism-related molecule, was found to be substantially related to the overall survival of patients with CP.

摘要

背景

颅咽管瘤(CP)是一种生长缓慢的良性肿瘤。它倾向于影响儿童,且患者数量呈上升趋势。鉴于颅咽管瘤的高发病率和死亡率,识别新的生物标志物以揭示其病因和发病机制迫在眉睫且至关重要。

方法

利用“limma”软件包计算来自基因表达综合数据库(GEO)的数据。基于差异表达基因(DEG),通过DAVID网络工具进行基因本体论和通路分析。此外,构建了蛋白质-蛋白质相互作用(PPI)网络。利用加权基因共表达网络分析(WGCNA)构建共表达网络。最后,进行蛋白质印迹和生存分析以检测重要代谢相关基因的表达水平。

结果

从GSE94349和GSE26966数据集中鉴定出正常组织与颅咽管瘤之间的384个差异表达基因。“绿松石”模块中差异表达基因和枢纽基因的维恩图显示了四个关键基因。最后,生存分析结果表明整合素6(ITGA6)显著影响颅咽管瘤患者的总生存时间。

结论

发现IGTA6作为一种代谢相关分子,与颅咽管瘤患者的总生存密切相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f563/9578790/38401d492056/JO2022-6891655.001.jpg

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