Effect of PTGES3 on the Prognosis and Immune Regulation in Lung Adenocarcinoma.

IF 2.6 4区 医学 Q3 CELL BIOLOGY
Wenyan Jiang, Qiong Wei, Haiqin Xie, Dandan Wu, Haiyan He, Xuedong Lv
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引用次数: 0

Abstract

Background: PTGES3 is upregulated in multiple cancer types and promotes tumorigenesis and progression. However, the clinical outcome and immune regulation of PTGES3 in lung adenocarcinoma (LUAD) are not fully understood. This study aimed to explore the expression level and prognostic value of PTGES3 and its correlation with potential immunotherapy in LUAD.

Methods: All data were obtained from several databases, including the Cancer Genome Atlas database. Firstly, gene and protein expression of PTGES3 were analyzed using Tumor Immune Estimation Resource (TIMER), R software, Clinical Proteomic Tumor Analysis Consortium (CPTAC), and Human Protein Atlas (HPA). Thereafter, survival analysis was conducted using the R software, Gene Expression Profiling Interactive Analysis 2 (GEPIA2), and Kaplan-Meier Plotter. In addition, gene alteration and mutation analyses were conducted using the cBio Cancer Genomics Portal (cBioPortal) and Catalog of Somatic Mutations in Cancer (COSMIC) databases. The molecular mechanisms associated with PTGES3 were assessed via Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), GeneMANIA, GEPIA2, and R software. Lastly, the role of PTGES3 in immune regulation in LUAD was investigated using TIMER, Tumor-Immune System Interaction Database (TISIDB), and SangerBox.

Results: The gene and protein expression of PTGES3 were elevated in LUAD tissues and compared to the normal tissues, and the high expression of PTGES3 was correlated with cancer stage and tumor grade. Survival analysis revealed that overexpression of PTGES3 was associated with poor prognosis of LUAD patients. Moreover, gene alteration and mutation analysis revealed the occurrence of several types of PTGES3 gene alterations in LUAD. Moreover, co-expression analysis and cross-analysis revealed that three genes, including CACYBP, HNRNPC, and TCP1, were correlated and interacted with PTGES3. Functional analysis of these genes revealed that PTGES3 was primarily enriched in oocyte meiosis, progesterone-mediated oocyte maturation, and arachidonic acid metabolism pathways. Furthermore, we found that PTGES3 participated in a complex immune regulation network in LUAD.

Conclusion: The current study indicated the crucial role of PTGES3 in LUAD prognosis and immune regulation. Altogether, our results suggested that PTGES3 could serve as a promising therapeutic and prognosis biomarker for the LUAD.

Abstract Image

Abstract Image

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PTGES3对肺腺癌预后及免疫调节的影响。
背景:PTGES3在多种癌症类型中上调,并促进肿瘤的发生和进展。然而,PTGES3在肺腺癌(LUAD)中的临床结果和免疫调节尚不完全清楚。本研究旨在探讨PTGES3在LUAD中的表达水平、预后价值及其与潜在免疫治疗的相关性。方法:所有数据均来自包括Cancer Genome Atlas数据库在内的多个数据库。首先,利用肿瘤免疫估计资源(Tumor Immune Estimation Resource, TIMER)、R软件、临床蛋白质组学肿瘤分析联盟(Clinical Proteomic Tumor Analysis Consortium, CPTAC)和人类蛋白质图谱(Human protein Atlas, HPA)分析PTGES3的基因和蛋白表达。随后,使用R软件、基因表达谱交互分析2 (GEPIA2)和Kaplan-Meier绘图仪进行生存分析。此外,基因改变和突变分析使用cBio癌症基因组学门户网站(cbiopportal)和癌症体细胞突变目录(COSMIC)数据库进行。通过Search Tool for Retrieval of Interacting Genes/Proteins (STRING)、GeneMANIA、GEPIA2和R软件评估与PTGES3相关的分子机制。最后,利用TIMER、肿瘤-免疫系统相互作用数据库(TISIDB)和SangerBox研究PTGES3在LUAD免疫调节中的作用。结果:与正常组织相比,LUAD组织中PTGES3基因及蛋白表达均升高,且PTGES3高表达与肿瘤分期、肿瘤分级相关。生存分析显示PTGES3过表达与LUAD患者预后不良相关。此外,基因改变和突变分析显示LUAD中存在几种类型的PTGES3基因改变。此外,共表达分析和交叉分析显示,CACYBP、HNRNPC和TCP1三个基因与PTGES3存在相关和相互作用。功能分析显示,PTGES3主要富集于卵母细胞减数分裂、孕激素介导的卵母细胞成熟和花生四烯酸代谢途径。此外,我们发现PTGES3在LUAD中参与了一个复杂的免疫调节网络。结论:本研究提示PTGES3在LUAD预后和免疫调节中具有重要作用。总之,我们的研究结果表明PTGES3可以作为LUAD治疗和预后的有希望的生物标志物。
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来源期刊
Analytical Cellular Pathology
Analytical Cellular Pathology ONCOLOGY-CELL BIOLOGY
CiteScore
4.90
自引率
3.10%
发文量
70
审稿时长
16 weeks
期刊介绍: Analytical Cellular Pathology is a peer-reviewed, Open Access journal that provides a forum for scientists, medical practitioners and pathologists working in the area of cellular pathology. The journal publishes original research articles, review articles, and clinical studies related to cytology, carcinogenesis, cell receptors, biomarkers, diagnostic pathology, immunopathology, and hematology.
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