Identification of prognostic genes in oral squamous cell carcinoma microenvironment

列线图 间质细胞 免疫系统 肿瘤微环境 肝细胞生长因子 医学 癌症研究 CD8型 肿瘤科 生物 内科学 免疫学 受体
作者
Longbiao Zhu,Xinyu Zhang,Yan Chen,Donglin Yan,Jing Han
出处
期刊:Cancer Biomarkers [IOS Press]
卷期号:34 (4): 523-532
标识
DOI:10.3233/cbm-210432
摘要

Numerous studies reveal the clinical significance of tumor microenvironment (TME) in multiple cancers. The association between TME in oral squamous cell carcinoma (OSCC) and clinical outcomes remains unsolved.This study aims to exhibit the TME of OSCC and identified the prognostic marker.Gene expression profile and clinical data OSCC patients were from the TCGA database. The validated stage data was from the Gene Expression Omnibus (GSE65858). Immune/stromal scores of each patient were calculated by ESTIMATE algorithm. Biological functional prediction was conducted. Prognostic genes identified by survival analysis. Nomogram and Receiver operating characteristic curves were employed to test the predicting power. TIMER database was applied to evaluated the immune infiltrates.Lower immune scores were observed in male patients (P= 0.0107) and different primary tumor sites of oral cavity with different stromal scores (P= 0.0328). The Differentially expressed genes (DEGs) were involved in immune related pathways. HGF gene (hepatocyte growth factor) was prognostic related and with a better prognostic performance when combined with clinical features (AUC=TCGA 0.638, AUC=GEO 0.714). HGF was significantly related with B cell, CD4ï⁢¼⁢T cell, CD8+T cell, macrophage, neutrophils, and dendritic cell infiltration.The current study analyzed the TME and presented immune related prognostic biomarkers for OSCC.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
香蕉觅云应助ZHL采纳,获得50
刚刚
刚刚
整齐的凝珍完成签到,获得积分10
1秒前
miss张应助Muxiaokun采纳,获得10
1秒前
李健的小迷弟应助墨与白采纳,获得10
1秒前
zz发布了新的文献求助10
1秒前
槿言发布了新的文献求助10
4秒前
轻松铸海发布了新的文献求助10
5秒前
闻山发布了新的文献求助10
5秒前
8秒前
嘉心糖应助蓝天采纳,获得30
8秒前
零琳完成签到 ,获得积分10
8秒前
安艺完成签到 ,获得积分10
11秒前
互助应助老实天真采纳,获得50
12秒前
lijiaqi完成签到 ,获得积分10
12秒前
千迁发布了新的文献求助10
12秒前
英姑应助stayreal采纳,获得10
12秒前
14秒前
科研通AI6.2应助格子采纳,获得10
16秒前
tingting1990发布了新的文献求助10
16秒前
16秒前
斯文败类应助早点睡觉丶采纳,获得10
16秒前
18秒前
乖乖羊发布了新的文献求助10
19秒前
19秒前
NexusExplorer应助科研通管家采纳,获得30
20秒前
彭于晏应助科研通管家采纳,获得10
20秒前
小马甲应助科研通管家采纳,获得10
20秒前
20秒前
科目三应助科研通管家采纳,获得10
20秒前
20秒前
20秒前
Akim应助科研通管家采纳,获得10
20秒前
20秒前
20秒前
21秒前
852应助科研通管家采纳,获得10
21秒前
21秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6347226
求助须知:如何正确求助?哪些是违规求助? 8161987
关于积分的说明 17168507
捐赠科研通 5403455
什么是DOI,文献DOI怎么找? 2861423
邀请新用户注册赠送积分活动 1839238
关于科研通互助平台的介绍 1688559