已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Targeting anticancer immunity in oral cancer: Drugs, products, and nanoparticles

免疫系统 间质细胞 癌症研究 肿瘤微环境 免疫疗法 免疫学 癌症 癌细胞 免疫 癌症免疫疗法 医学 生物 内科学
作者
Liling Qin,Jianan Wu
出处
期刊:Environmental Research [Elsevier BV]
卷期号:239 (Pt 1): 116751-116751 被引量:25
标识
DOI:10.1016/j.envres.2023.116751
摘要

Oral cavity carcinomas are the most frequent malignancies among head and neck malignancies. Oral tumors include not only oral cancer cells with different potency and stemness but also consist of diverse cells, containing anticancer immune cells, stromal and also immunosuppressive cells that influence the immune system reactions. The infiltrated T and natural killer (NK) cells are the substantial tumor-suppressive immune compartments in the tumor. The infiltration of these cells has substantial impacts on the response of tumors to immunotherapy, chemotherapy, and radiotherapy. Nevertheless, cancer cells, stromal cells, and some other compartments like regulatory T cells (Tregs), macrophages, and myeloid-derived suppressor cells (MDSCs) can repress the immune responses against malignant cells. Boosting anticancer immunity by inducing the immune system or repressing the tumor-promoting cells is one of the intriguing approaches for the eradication of malignant cells such as oral cancers. This review aims to concentrate on the secretions and interactions in the oral tumor immune microenvironment. We review targeting tumor stroma, immune system and immunosuppressive interactions in oral tumors. This review will also focus on therapeutic targets and therapeutic agents such as nanoparticles and products with anti-tumor potency that can boost anticancer immunity in oral tumors. We also explain possible future perspectives including delivery of various cells, natural products and drugs by nanoparticles for boosting anticancer immunity in oral tumors.
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
cdercder应助无解肥采纳,获得10
刚刚
刚刚
可可豆完成签到,获得积分10
1秒前
柒柒完成签到,获得积分10
1秒前
科研通AI6.2应助关宏伟11采纳,获得10
1秒前
zhu发布了新的文献求助10
1秒前
传奇3应助JETSTREAM采纳,获得10
2秒前
2秒前
小小鱼发布了新的文献求助10
2秒前
秦林新完成签到 ,获得积分10
3秒前
4秒前
ZHJ发布了新的文献求助10
5秒前
人间小布丁完成签到 ,获得积分10
5秒前
6秒前
苗条忆雪完成签到,获得积分10
6秒前
6秒前
8秒前
Owen应助JETSTREAM采纳,获得10
9秒前
9秒前
苗条忆雪发布了新的文献求助10
9秒前
9秒前
Zzz完成签到,获得积分10
11秒前
11秒前
科研通AI6.4应助关宏伟11采纳,获得10
11秒前
科研小菜鸡给威武豌豆的求助进行了留言
13秒前
13秒前
14秒前
14秒前
不吃香菜发布了新的文献求助10
14秒前
14秒前
JamesPei应助JETSTREAM采纳,获得10
16秒前
XPDHW发布了新的文献求助10
16秒前
16秒前
初景应助cynthia采纳,获得20
17秒前
之组长了完成签到 ,获得积分10
18秒前
西瓜发布了新的文献求助10
19秒前
田様应助XPDHW采纳,获得10
19秒前
MillerLing发布了新的文献求助10
20秒前
云不暇完成签到 ,获得积分10
21秒前
可爱的函函应助FFF采纳,获得30
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
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7687349
求助须知:如何正确求助?哪些是违规求助? 9250455
关于积分的说明 19962384
捐赠科研通 7260374
什么是DOI,文献DOI怎么找? 3289826
关于科研通互助平台的介绍 2446680
邀请新用户注册赠送积分活动 2294359