Suppr超能文献

综合分析和验证表明,DEPDC1 是一种与非小细胞肺癌肿瘤免疫相关的潜在诊断生物标志物。

Comprehensive analysis and validation reveal DEPDC1 as a potential diagnostic biomarker associated with tumor immunity in non-small-cell lung cancer.

机构信息

Department of Clinical Epidemiology, The First Hospital of China Medical University, Heping District, Shenyang, China.

Department of Epidemiology, School of Public Health of China Medical University, Shenyang, China.

出版信息

PLoS One. 2024 Apr 2;19(4):e0294227. doi: 10.1371/journal.pone.0294227. eCollection 2024.

Abstract

Current evidence suggests that DEP domain containing 1 (DEPDC1) has an important effect on non-small-cell lung cancer (NSCLC). However, the diagnostic value and the regulatory function within NSCLC are largely unclear. This work utilized publicly available databases and in vitro experiments for exploring, DEPDC1 expression, clinical features, diagnostic significance and latent molecular mechanism within NSCLC. According to our results, DEPDC1 was remarkably upregulated in the tissues of NSCLC patients compared with non-carcinoma tissues, linked with gender, stage, T classification and N classification based on TCGA data and associated with smoking status and stage according to GEO datasets. Meanwhile, the summary receiver operating characteristic (sROC) curve analysis result showed that DEPDC1 had a high diagnostic value in NSCLC (AUC = 0.96, 95% CI: 0.94-0.98; diagnostic odds ratio = 99.08, 95%CI: 31.91-307.65; sensitivity = 0.89, 95%CI: 0.81-0.94; specificity = 0.92, 95%CI: 0.86-0.96; positive predictive value = 0.94, 95%CI: 0.89-0.98; negative predictive value = 0.78, 95%CI: 0.67-0.90; positive likelihood ratio = 11.77, 95%CI: 6.11-22.68; and negative likelihood ratio = 0.12, 95%CI: 0.06-0.22). Subsequently, quantitative real-time PCR (qRT-PCR) and western blotting indicated that DEPDC1 was high expressed in NSCLC cells. According to the in vitro MTS and apoptotic assays, downregulated DEPDC1 expression targeting P53 signaling pathway inhibited the proliferation of NSCLC cells while promoting apoptosis of NSCLC cells. Moreover, DEPDC1 was significantly correlated with immune cell infiltrating levels in NSCLC based on TCGA data, which were primarily associated with T cells CD4 memory activated, macrophages M1, B cells memory, mast cells resting, T cells regulatory, monocytes, and T cells CD4 memory resting. Compared with the group with high expression of DEPDC1, the group with low expression level had higher scores for immune checkpoint inhibitors (ICIs) treatment. GSEA confirmed that DEPDC1 was involved in gene expression and tumor-related signaling pathways. Finally, DEPDC1 and its associated immune-related genes were shown to be enriched in 'receptor ligand activity', 'external side of plasma membrane', 'regulation of innate immune response', and 'Epstein-Barr virus infection' pathways. The present study demonstrates that DEPDC1 may contribute to NSCLC tumorigenesis and can be applied as the biomarker for diagnosis and immunology.

摘要

目前的证据表明,DEP 结构域包含 1 (DEPDC1)对非小细胞肺癌(NSCLC)有重要影响。然而,其在 NSCLC 中的诊断价值和调节功能在很大程度上尚不清楚。本研究利用公共数据库和体外实验,探讨了 DEPDC1 在 NSCLC 中的表达、临床特征、诊断意义和潜在的分子机制。根据我们的结果,与非癌组织相比,DEPDC1 在 NSCLC 患者的组织中显著上调,根据 TCGA 数据,它与性别、分期、T 分类和 N 分类有关,根据 GEO 数据集,它与吸烟状况和分期有关。同时,汇总受试者工作特征(sROC)曲线分析结果表明,DEPDC1 在 NSCLC 中有较高的诊断价值(AUC=0.96,95%CI:0.94-0.98;诊断优势比=99.08,95%CI:31.91-307.65;敏感度=0.89,95%CI:0.81-0.94;特异性=0.92,95%CI:0.86-0.96;阳性预测值=0.94,95%CI:0.89-0.98;阴性预测值=0.78,95%CI:0.67-0.90;阳性似然比=11.77,95%CI:6.11-22.68;阴性似然比=0.12,95%CI:0.06-0.22)。随后,定量实时 PCR(qRT-PCR)和 Western blot 表明,DEPDC1 在 NSCLC 细胞中高表达。根据体外 MTS 和凋亡测定,下调 P53 信号通路靶向的 DEPDC1 表达抑制了 NSCLC 细胞的增殖,同时促进了 NSCLC 细胞的凋亡。此外,根据 TCGA 数据,DEPDC1 与 NSCLC 中的免疫细胞浸润水平显著相关,这些免疫细胞主要与 T 细胞 CD4 记忆激活、巨噬细胞 M1、B 细胞记忆、静止肥大细胞、调节性 T 细胞、单核细胞和静止 T 细胞 CD4 记忆有关。与高 DEPDC1 表达组相比,低表达组的免疫检查点抑制剂(ICI)治疗评分较高。GSEA 证实 DEPDC1 参与了基因表达和肿瘤相关信号通路。最后,DEPDC1 及其相关的免疫相关基因被证明富集在“受体配体活性”、“质膜外”、“固有免疫反应的调节”和“ Epstein-Barr 病毒感染”途径中。本研究表明,DEPDC1 可能有助于 NSCLC 的肿瘤发生,并可作为诊断和免疫学的标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d04/10986975/4f198cd6e968/pone.0294227.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验