Department of Clinical Laboratory Diagnostics, Binzhou Medical University, Binzhou, Shandong 256603, China.
Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Dis Markers. 2023 Jan 19;2023:9292536. doi: 10.1155/2023/9292536. eCollection 2023.
Lung adenocarcinoma (LUAD) is one of the most common types of cancer in the respiratory system, with a high mortality and recurrence rate. The role of disc large-associated protein 5 (DLGAP5) in LUAD progression and tumor microenvironment (TME) remains unclear. This study is aimed at revealing the functional role of DLGAP5 in LUAD based on bioinformatics analysis and experimental validation.
Differential expression analysis, protein-protein interaction (PPI) network, and Cox regression analysis were applied to screen potential prognostic biomarkers. The mRNA and protein levels of DLGAP5 were analyzed using The Cancer Genome Atlas (TCGA) and the Human Protein Atlas (HPA) databases. The CCK-8 and colony formation assays were performed to assess the effect of DLGAP5 on cell proliferation. RNA sequencing (RNA-seq) and enrichment analyses were utilized to explore the biological functions of DLGAP5. Furthermore, flow cytometry was used to explore the role of DLGAP5 on the cell cycle. The ssGSEA algorithm in the R package "GSVA" was applied to quantify immune infiltrating cells, and the tumor immune dysfunction and exclusion (TIDE) algorithm was used to predict the efficacy of immunotherapy. Moreover, analyses using the cBioPortal and MethSurv databases were performed to evaluate the mutation and methylation of DLGAP5, respectively. Finally, the prognostic value of DLGAP5 was estimated using the TCGA and the Gene Expression Omnibus (GEO) databases. The nomogram model was constructed using the TCGA-LUAD cohort and evaluated by adopting calibration curves, time-dependent receiver operating characteristic (ROC) curves, and decision curve analysis (DCA).
DLGAP5 mRNA and protein abundance were significantly elevated in LUAD, and knockdown of DLGAP5 remarkably suppressed lung cancer cell proliferation through induction of cell cycle G1 arrest. In addition, DLGAP5 expression was positively correlated with Th2 cells and negatively correlated with B cells, T follicular helper cells, and mast cells. LUAD patients with high DLGAP5 expression may be resistant to immunotherapy. Hypermethylation levels of the cg23678254 site of DLGAP5 or its enhanced expression were unfavorable for the survival of LUAD patients. Meanwhile, DLGAP5 expression was associated with TNM stages, tumor status, and therapy outcome. Notably, the prognostic model constructed based on DLGAP5 expression exhibited great predictive capability, which was promising for clinical applications.
DLGAP5 promotes lung cancer cell proliferation through regulation of the cell cycle and is associated with multiple immune infiltrating cells. Furthermore, DLGAP5 predicts poor prognosis and response to immunotherapy in lung adenocarcinoma.
肺腺癌(LUAD)是呼吸系统中最常见的癌症类型之一,具有高死亡率和复发率。Disc large-associated protein 5(DLGAP5)在 LUAD 进展和肿瘤微环境(TME)中的作用尚不清楚。本研究旨在通过生物信息学分析和实验验证,揭示 DLGAP5 在 LUAD 中的功能作用。
采用差异表达分析、蛋白质-蛋白质相互作用(PPI)网络和 Cox 回归分析筛选潜在的预后生物标志物。利用癌症基因组图谱(TCGA)和人类蛋白质图谱(HPA)数据库分析 DLGAP5 的 mRNA 和蛋白水平。采用 CCK-8 和集落形成实验评估 DLGAP5 对细胞增殖的影响。通过 RNA 测序(RNA-seq)和富集分析探索 DLGAP5 的生物学功能。此外,通过流式细胞术探索 DLGAP5 对细胞周期的作用。采用 R 包“GSVA”中的 ssGSEA 算法量化免疫浸润细胞,采用肿瘤免疫功能障碍和排斥(TIDE)算法预测免疫治疗的疗效。此外,分别采用 cBioPortal 和 MethSurv 数据库评估 DLGAP5 的突变和甲基化。最后,利用 TCGA 和基因表达综合数据库(GEO)评估 DLGAP5 的预后价值。采用 TCGA-LUAD 队列构建列线图模型,并通过校准曲线、时间依赖性接受者操作特征(ROC)曲线和决策曲线分析(DCA)进行评估。
在 LUAD 中,DLGAP5 的 mRNA 和蛋白丰度显著升高,敲低 DLGAP5 可通过诱导细胞周期 G1 期阻滞显著抑制肺癌细胞增殖。此外,DLGAP5 的表达与 Th2 细胞呈正相关,与 B 细胞、滤泡辅助 T 细胞和肥大细胞呈负相关。LUAD 患者中高表达 DLGAP5 可能对免疫治疗耐药。DLGAP5 的 cg23678254 位点的高甲基化水平或其增强表达不利于 LUAD 患者的生存。同时,DLGAP5 的表达与 TNM 分期、肿瘤状态和治疗效果有关。值得注意的是,基于 DLGAP5 表达构建的预后模型具有很好的预测能力,有望在临床应用中得到应用。
DLGAP5 通过调节细胞周期促进肺癌细胞增殖,并与多种免疫浸润细胞相关。此外,DLGAP5 预测肺腺癌的不良预后和对免疫治疗的反应。