Mitochondrial-related genes markers that predict survival in patients with head and neck squamous cell carcinoma affect immunomodulation through hypoxia, glycolysis, and angiogenesis pathways

头颈部鳞状细胞癌 免疫系统 生物 癌变 血管生成 癌症研究 肿瘤微环境 细胞 肿瘤科 内科学 免疫学 癌症 医学 头颈部癌 遗传学
作者
Zhonghua Li,Haoxi Cai,Jinyang Zheng,Xun Chen,Guancheng Liu,Yunxia Lv,Hui Ye,Gengming Cai
出处
期刊:Aging [Impact Journals, LLC]
卷期号:15 (19): 10347-10369 被引量:2
标识
DOI:10.18632/aging.205081
摘要

Mitochondria play a crucial role in the occurrence and development of tumors. We used mitochondria-related genes for consistent clustering to identify three stable molecular subtypes of head and neck squamous cell carcinoma (HNSCC) with different prognoses, mutations, and immune characteristics. Significant differences were observed in clinical characteristics, immune microenvironment, immune cell infiltration, and immune cell scores. TP53 was the most significantly mutated; cell cycle-related pathways and tumorigenesis-related pathways were activated in different subtypes. Risk modeling was conducted using a multifactor stepwise regression method, and nine genes were identified as mitochondria-related genes affecting prognosis (DKK1, EFNB2, ITGA5, AREG, EPHX3, CHGB, P4HA1, CCND1, and JCHAIN). Risk score calculations revealed significant differences in prognosis, immune cell scores, immune cell infiltration, and responses to conventional chemotherapy drugs. Glycolysis, angiogenesis, hypoxia, and tumor-related pathways were positively correlated with the RiskScore. Clinical samples were subjected to qPCR to validate the results. In this work, we constructed a prognostic model based on the mitochondrial correlation score, which well reflects the risk and positive factors for the prognosis of patients with HNSCC. This model can be used to guide individualized adjuvant and immunotherapy in patients with HNSCC.
最长约 10秒,即可获得该文献文件

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
TanFT发布了新的文献求助10
刚刚
青鸟飞鱼完成签到,获得积分10
刚刚
吴吴发布了新的文献求助10
1秒前
ShengjuChen完成签到 ,获得积分10
1秒前
1秒前
CipherSage应助标致小伙采纳,获得10
1秒前
科研通AI5应助深爱不疑采纳,获得10
1秒前
艺术家脾气完成签到,获得积分10
2秒前
3秒前
unicornmed发布了新的文献求助10
3秒前
可爱的函函应助茶艺如何采纳,获得10
4秒前
江知之完成签到 ,获得积分0
4秒前
4秒前
6秒前
刻苦问柳发布了新的文献求助10
6秒前
酷酷平卉完成签到 ,获得积分10
6秒前
星辰大海应助吴吴采纳,获得30
6秒前
JTB发布了新的文献求助10
6秒前
BILNQPL发布了新的文献求助10
6秒前
兮遥遥完成签到 ,获得积分10
7秒前
7秒前
7秒前
丰知然应助轩辕德地采纳,获得10
8秒前
9秒前
吨吨喝水关注了科研通微信公众号
9秒前
酷波er应助某只橘猫君采纳,获得10
9秒前
9秒前
stt发布了新的文献求助10
9秒前
9秒前
Ling完成签到,获得积分10
9秒前
TanFT完成签到,获得积分10
10秒前
笙歌自若发布了新的文献求助10
10秒前
10秒前
CipherSage应助积极的凌波采纳,获得10
11秒前
11秒前
烟花应助欣慰硬币采纳,获得10
11秒前
老大爷滴滴完成签到,获得积分10
11秒前
11秒前
11秒前
SciGPT应助LEMON采纳,获得10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762