基于GEO数据库分析AKR1C3在口腔鳞状细胞癌中的表达

doi:10.13701/j.cnki.kqyxyj.2021.06.008

口腔医学研究 ›› 2021, Vol. 37 ›› Issue (6): 514-518.DOI: 10.13701/j.cnki.kqyxyj.2021.06.008

基于GEO数据库分析AKR1C3在口腔鳞状细胞癌中的表达

李磊¹, 陈彦平^1*, 杨凯成¹, 李悠², 王欣晨³, 罗风玉⁴

1.河北医科大学第四医院口腔科河北石家庄 050011;
2.河北医科大学第四医院肿瘤免疫科河北石家庄 050011;
3.河北医科大学第四医院肿瘤研究所河北石家庄 050011;
4.灵寿县人民医院口腔科河北石家庄 050500

收稿日期:2020-11-20 出版日期:2021-06-28 发布日期:2021-06-17
通讯作者: *陈彦平,E-mail:cyp1962@126.com
作者简介:李磊(1993~ ),女,河北邢台人,医师,硕士,研究方向:口腔颌面部肿瘤。
基金资助:
河北省卫生厅青年科技课题(编号:20201064)

Analysis of AKR1C3 Expression in Oral Squamous Cell Carcinoma Based on GEO

LI Lei¹, CHEN Yanping^1*, YANG Kaicheng¹, LI You², WANG Xinchen³, LUO Fengyu⁴

1. Department of Stomatology, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China;
2. Department of Tumor Immunity, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China;
3. Cancer Institute, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China;
4. Department of Stomatology, Lingshou People's Hospital, Shijiazhuang 050500, China

Received:2020-11-20 Online:2021-06-28 Published:2021-06-17

摘要/Abstract

摘要： 目的:探讨AKR1C3在口腔鳞状细胞癌(oral squamous cell carcinoma,OSCC)中的表达水平及其功能。方法:从Gene Expression Omnibus(GEO)数据库中筛选OSCC相关芯片数据集,利用R语言筛选出芯片中的差异表达基因(differentially expressed genes,DEGs),对DEGs进行功能富集分析,构建蛋白质相互作用网络图(protein-protein interaction network,PPI)及DEGs相关性图,分析DEGs AKR1C3的表达水平与预后的关系,并通过免疫组织化学法验证AKR1C3蛋白在OSCC中的表达。结果:共筛选出411个DEGs,其中显著上、下调的DEGs分别有20个;DEGs主要参与T细胞活化、淋巴细胞活化等过程,并富集于细胞因子间的相互作用、流体剪切应力与动脉粥样硬化等通路;PPI显示:AKR1C3与AKR1C1、AKR1B10、AKR1B1等关系最为密切,DEGs相关性分析显示:AKR1C3与ALDH3A1、UGT1Ab等关系最为密切;AKR1C3高表达的患者生存期更短(P<0.05);免疫组织化学法结果提示:AKR1C3蛋白在OSCC组织中表达上调(P<0.05)。结论:AKR1C3可作为潜在分子标志物用于OSCC的早期诊断、治疗靶点的选择和预后评估。

关键词: 口腔鳞状细胞癌, 基因表达数据库, 分子标志物, 差异表达基因

Abstract: Objective: To investigate the expression level and function of AKR1C3 in oral squamous cell carcinoma (OSCC). Methods: OSCC-related chip data sets from GEO (gene expression omnibus) database were selected. DEGs were screened out in chips using R language and performed functional enrichment analysis. Protein-protein interaction network (PPI) and DEGs correlation graph were constructed. The relationship between the expression level of DEGs AKR1C3 and prognosis was analyzed, and the expression of AKR1C3 protein in OSCC was verified by immunohistochemistry. Results: A total of 411 DEGs were screened out, of which 20 were significantly up-regulated and down-regulated. DEGs were mainly involved in the process of T cell activation and regulation of lymphocyte activation, and were enriched in the cytokine-cytokine receptor interaction, fluid shear stress, and atherosclerosis. The protein interaction network showed that AKR1C3 was most closely related to AKR1C1, AKR1B10, AKR1B1, etc. The correlation analysis of differentially expressed genes showed that AKR1C3 was most closely related to ALDH3A1, UGT1Ab, etc. The survival time of patients with high expression of AKR1C3 was shorter (P<0.05). The immunohistochemical results showed that the expression of AKR1C3 protein was up-regulated in OSCC tissues (P<0.05). Conclusion: AKR1C3 can be used as a potential molecular marker for early diagnosis, treatment target selection, and prognosis evaluation of oral squamous cell carcinoma, and provide reference for subsequent research.

Key words: oral squamous cell carcinoma, gene expression database, molecular markers, differentially expressed genes

李磊, 陈彦平, 杨凯成, 李悠, 王欣晨, 罗风玉. 基于GEO数据库分析AKR1C3在口腔鳞状细胞癌中的表达[J]. 口腔医学研究, 2021, 37(6): 514-518.

LI Lei, CHEN Yanping, YANG Kaicheng, LI You, WANG Xinchen, LUO Fengyu. Analysis of AKR1C3 Expression in Oral Squamous Cell Carcinoma Based on GEO[J]. Journal of Oral Science Research, 2021, 37(6): 514-518.

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基于GEO数据库分析AKR1C3在口腔鳞状细胞癌中的表达

Analysis of AKR1C3 Expression in Oral Squamous Cell Carcinoma Based on GEO

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