亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Integrated Single-cell and Bulk RNA Sequencing Analysis Cross Talk between Ferroptosis-related Genes and Prognosis in Oral Cavity Squamous Cell Carcinoma

比例危险模型 接收机工作特性 肿瘤科 单变量分析 医学 内科学 生存分析 免疫疗法 单变量 免疫系统 基因 多元分析 癌症研究 生物 癌症 免疫学 多元统计 机器学习 计算机科学 遗传学
作者
Tian Lan,Siqi Ren,Huijun Hu,Ruixin Wang,Qian Chen,Fan Wu,Qiuping Xu,Yanyan Li,Lingyun Shao,Liansheng Wang,Xin Liu,Hanwen Cao,Jinsong Li
出处
期刊:Recent Patents on Anti-cancer Drug Discovery [Bentham Science]
卷期号:19 (3): 354-372
标识
DOI:10.2174/1574892818666230602112042
摘要

Background: Ferroptosis is a new type of programmed apoptosis and plays an important role in tumour inhibition and immunotherapy. Objective: In this study, we aimed to explore the potential role of ferroptosis-related genes (FRGs) and the potential therapeutic targets in oral cavity squamous cell carcinoma (OCSCC). Methods: The transcription data of OCSCC samples were obtained from the Cancer Genome Atlas (TCGA) database as a training dataset. The prognostic FRGs were extracted by univariate Cox regression analysis. Then, we constructed a prognostic model using the least absolute shrinkage and selection operator (LASSO) and Cox analysis to determine the independent prognosis FRGs. Based on this model, risk scores were calculated for the OCSCC samples. The model’s capability was further evaluated by the receiver operating characteristic curve (ROC). Then, we used the GSE41613 dataset as an external validation cohort to confirm the model’s predictive capability. Next, the immune infiltration and somatic mutation analysis were applied. Lastly, single-cell transcriptomic analysis was used to identify the key cells. Results: A total of 12 prognostic FRGs were identified. Eventually, 6 FRGs were screened as independent predictors and a prognostic model was constructed in the training dataset, which significantly stratified OCSCC samples into high-risk and low-risk groups based on overall survival. The external validation of the model using the GSE41613 dataset demonstrated a satisfactory predictive capability for the prognosis of OCSCC. Further analysis revealed that patients in the highrisk group had distinct immune infiltration and somatic mutation patterns from low-risk patients. Mast cell infiltrations were identified as prognostic immune cells and played a role in OCSCC partly through ferroptosis. Conclusion: We successfully constructed a novel 6 FRGs model and identified a prognostic immune cell, which can serve to predict clinical prognoses for OCSCC. Ferroptosis may be a new direction for immunotherapy of OCSCC.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
ZYQ完成签到 ,获得积分10
3秒前
5秒前
朴素的如豹完成签到,获得积分10
12秒前
无花果应助冰饼子采纳,获得10
15秒前
漂亮黑裤完成签到 ,获得积分10
15秒前
奎奎完成签到 ,获得积分10
18秒前
20秒前
abby应助wslll1987采纳,获得10
26秒前
18-Crown-6完成签到 ,获得积分10
33秒前
33秒前
33秒前
好运来发布了新的文献求助10
40秒前
orixero应助好运来采纳,获得10
45秒前
小葡萄icon完成签到 ,获得积分10
50秒前
jychen85完成签到 ,获得积分10
50秒前
wslll1987给wslll1987的求助进行了留言
51秒前
52秒前
年年完成签到,获得积分10
1分钟前
虚心的惮完成签到 ,获得积分10
1分钟前
lyz完成签到,获得积分10
1分钟前
吾皇完成签到 ,获得积分10
1分钟前
明理的延恶完成签到 ,获得积分10
1分钟前
天选科研人完成签到 ,获得积分10
1分钟前
cinyadane完成签到 ,获得积分10
1分钟前
abby给wslll1987的求助进行了留言
1分钟前
醉熏的幼珊完成签到,获得积分10
1分钟前
勿昂完成签到 ,获得积分10
1分钟前
九日橙完成签到 ,获得积分10
1分钟前
小马甲应助醉熏的幼珊采纳,获得10
1分钟前
lwh104完成签到,获得积分10
1分钟前
顺利的曼寒完成签到 ,获得积分10
1分钟前
1分钟前
try完成签到 ,获得积分10
1分钟前
2分钟前
2分钟前
2分钟前
斯文的丹云完成签到,获得积分10
2分钟前
2分钟前
2分钟前
爱鱼人士应助郎中不动武采纳,获得10
2分钟前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Hemerologies of Assyrian and Babylonian Scholars 500
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2483231
求助须知:如何正确求助?哪些是违规求助? 2145363
关于积分的说明 5473150
捐赠科研通 1867530
什么是DOI,文献DOI怎么找? 928334
版权声明 563102
科研通“疑难数据库(出版商)”最低求助积分说明 496662