文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

口腔鳞状细胞癌的候选靶基因和免疫细胞鉴定。

Identification of Candidate Target Genes and Immune Cells in Oral Squamous Cell Carcinoma.

机构信息

Special Treatment, Jinan Stomatological Hospital, Jinan, Shandong, China.

Department of Prosthodontic, Tianjin Binhai New Area Tanggu Stomatology Hospital, China.

出版信息

Comput Math Methods Med. 2021 Dec 30;2021:5802110. doi: 10.1155/2021/5802110. eCollection 2021.


DOI:10.1155/2021/5802110
PMID:35003322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8739923/
Abstract

BACKGROUND: The advance of new treatment strategies for more effective management of oral cancer requires identification of novel biological targets. Therefore, the purpose of this study is to identify novel biomarkers associated with oral tumorigenesis and prognostic signature by comparing gene expression profile of oral squamous cell carcinomas (OSCCs). METHODS: Four datasets including GSE25099, GSE30784, GSE37991, and GSE41613 were collected from Gene Expression Omnibus (GEO) database. Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Cox model analysis, identification of key genes, and Kaplan-Meier analysis were also performed. The xCell was utilized to analyze the infiltration levels of immune cells. RESULTS: A total of 235 differentially expressed genes (DEGs) were found to be dysregulated in OSCC. These genes were mainly enriched in ECM receptor interaction and focal adhesion. Cox regression analysis identified 10 genes considered as key genes. Kaplan-Meier analysis showed that low expression of SERPINE1 (also known as PAI-1), high expression of CD1C, and C-X3-C motif chemokine receptor 1 (CX3CR1) were associated with well prognostic status in OSCC patients. In addition, we constructed a 3-immune-cell signature (myeloid dendritic cell, T cell CD4 central memory, and common myeloid progenitor) that may be used to predict the survival status of OSCC patients. CONCLUSION: Three key genes and 3-immune-cell signature were potential biomarkers for the prognosis of OSCC, and they may serve as potential targets for the treatment of OSCC patients.

摘要

背景:为了更有效地治疗口腔癌,需要采用新的治疗策略,这就需要确定新的生物学靶点。因此,本研究旨在通过比较口腔鳞状细胞癌(OSCC)的基因表达谱,鉴定与口腔肿瘤发生和预后相关的新型生物标志物和预后特征。

方法:从基因表达综合数据库(GEO)中收集了包括 GSE25099、GSE30784、GSE37991 和 GSE41613 在内的 4 个数据集。进行了基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析、Cox 模型分析、关键基因识别和 Kaplan-Meier 分析。利用 xCell 分析免疫细胞的浸润水平。

结果:共发现 235 个差异表达基因(DEGs)在 OSCC 中失调。这些基因主要富集在 ECM 受体相互作用和焦点粘连中。Cox 回归分析确定了 10 个被认为是关键基因的基因。Kaplan-Meier 分析显示,SERPINE1(也称为 PAI-1)低表达、CD1C 高表达和 C-X3-C 基序趋化因子受体 1(CX3CR1)高表达与 OSCC 患者的良好预后状态相关。此外,我们构建了一个 3-免疫细胞特征(髓样树突状细胞、T 细胞 CD4 中央记忆细胞和普通髓样祖细胞),可用于预测 OSCC 患者的生存状态。

结论:三个关键基因和 3-免疫细胞特征可能是 OSCC 预后的潜在生物标志物,它们可能成为 OSCC 患者治疗的潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/aaf8f724725b/CMMM2021-5802110.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/306faf976f47/CMMM2021-5802110.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/9cc7752e43d7/CMMM2021-5802110.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/e88b226c489b/CMMM2021-5802110.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/2c1cbc93ec40/CMMM2021-5802110.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/ab4a42dc6fa3/CMMM2021-5802110.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/aaf8f724725b/CMMM2021-5802110.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/306faf976f47/CMMM2021-5802110.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/9cc7752e43d7/CMMM2021-5802110.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/e88b226c489b/CMMM2021-5802110.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/2c1cbc93ec40/CMMM2021-5802110.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/ab4a42dc6fa3/CMMM2021-5802110.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0d/8739923/aaf8f724725b/CMMM2021-5802110.006.jpg

相似文献

[1]
Identification of Candidate Target Genes and Immune Cells in Oral Squamous Cell Carcinoma.

Comput Math Methods Med. 2021

[2]
A Five-mRNA Expression Signature to Predict Survival in Oral Squamous Cell Carcinoma by Integrated Bioinformatic Analyses.

Genet Test Mol Biomarkers. 2021-8

[3]
Identification of an Immune Score-Based Gene Panel with Prognostic Power for Oral Squamous Cell Carcinoma.

Med Sci Monit. 2020-6-12

[4]
Identification of a Gene Prognostic Signature for Oral Squamous Cell Carcinoma by RNA Sequencing and Bioinformatics.

Biomed Res Int. 2021

[5]
Implications of Human Antimicrobial Peptide Defensin Beta-1 in Clinical Oral Squamous Cell Carcinoma Patients via an Integrated Bioinformatics Approach.

Comput Math Methods Med. 2022

[6]
Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.

Med Sci Monit. 2019-12-3

[7]
Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.

J Comput Biol. 2020-1

[8]
Weighted Gene Co-Expression Network Analysis Identifies Hub Genes Associated with Occurrence and Prognosis of Oral Squamous Cell Carcinoma.

Med Sci Monit. 2019-9-28

[9]
Expression profile analysis identifies a two-gene signature for prediction of head and neck squamous cell carcinoma patient survival.

J Cancer Res Ther. 2018

[10]
Prognostic biomarkers and therapeutic targets in oral squamous cell carcinoma: a study based on cross-database analysis.

Hereditas. 2021-4-23

引用本文的文献

[1]
Investigating Tumor-Infiltrating Lymphocytes in the Microenvironment of Oral Squamous Cell Carcinoma (OSCC) and Oral Potentially Malignant Disorders (OPMDs): Can They Shift Our Perspective? A Scoping Review.

J Clin Med. 2025-1-18

[2]
CX3CL1 induces cell migration and invasion through ICAM-1 expression in oral squamous cell carcinoma cells.

J Cell Mol Med. 2023-6

[3]
Evaluation of CD4 tumor-infiltrating lymphocyte association with some clinicopathological indices of oral squamous cell carcinoma.

Dent Res J (Isfahan). 2022-10-20

本文引用的文献

[1]
MMP-9 Knockdown Inhibits Oral Squamous Cell Carcinoma Lymph Node Metastasis in the Nude Mouse Tongue-Xenografted Model through the RhoC/Src Pathway.

Anal Cell Pathol (Amst). 2021

[2]
Research on neck dissection for oral squamous-cell carcinoma: a bibliometric analysis.

Int J Oral Sci. 2021-4-1

[3]
Comprehensive analysis of macrophage-related multigene signature in the tumor microenvironment of head and neck squamous cancer.

Aging (Albany NY). 2021-2-11

[4]
Role of Autophagy in the Microenvironment of Oral Squamous Cell Carcinoma.

Front Oncol. 2020-12-9

[5]
Head and neck squamous cell carcinoma.

Nat Rev Dis Primers. 2020-11-26

[6]
Exosomal cargoes in OSCC: current findings and potential functions.

PeerJ. 2020-11-3

[7]
Genome-wide CRISPR screens of oral squamous cell carcinoma reveal fitness genes in the Hippo pathway.

Elife. 2020-9-29

[8]
Granulocytic Myeloid-Derived Suppressor Cells as Negative Regulators of Anticancer Immunity.

Front Immunol. 2020

[9]
Cotargeting CHK1 and PI3K Synergistically Suppresses Tumor Growth of Oral Cavity Squamous Cell Carcinoma in Patient-Derived Xenografts.

Cancers (Basel). 2020-6-29

[10]
Downexpression of HSD17B6 correlates with clinical prognosis and tumor immune infiltrates in hepatocellular carcinoma.

Cancer Cell Int. 2020-6-3

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

推荐工具

医学文档翻译智能文献检索