Novel post-translational modifications of protein by metabolites with immune responses and immune-related molecules in cancer immunotherapy

免疫系统 免疫疗法 癌症免疫疗法 癌症 化学 计算生物学 生物 免疫学 癌症研究 遗传学
作者
Lihua Chen,Lixiang Huang,Yu Gu,Chen Li,Pengming Sun,Yang Xiang
出处
期刊:International Journal of Biological Macromolecules [Elsevier BV]
卷期号:277 (Pt 1): 133883-133883 被引量:18
标识
DOI:10.1016/j.ijbiomac.2024.133883
摘要

Tumour immunotherapy is an effective and essential treatment for cancer. However, the heterogeneity of tumours and the complex and changeable tumour immune microenvironment (TME) creates many uncertainties in the clinical application of immunotherapy, such as different responses to tumour immunotherapy and significant differences in individual efficacy. It makes anti-tumour immunotherapy face many challenges. Immunometabolism is a critical determinant of immune cell response to specific immune effector molecules, significantly affecting the effects of tumour immunotherapy. It is attributed mainly to the fact that metabolites can regulate the function of immune cells and immune-related molecules through the protein post-translational modifications (PTMs) pathway. This study systematically summarizes a variety of novel protein PTMs including acetylation, propionylation, butyrylation, succinylation, crotonylation, malonylation, glutarylation, 2-hydroxyisobutyrylation, β-hydroxybutyrylation, benzoylation, lactylation and isonicotinylation in the field of tumour immune regulation and immunotherapy. In particular, we elaborate on how different PTMs in the TME can affect the function of immune cells and lead to immune evasion in cancer. Lastly, we highlight the potential treatment with the combined application of target-inhibited protein modification and immune checkpoint inhibitors (ICIs) for improved immunotherapeutic outcomes.
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
1秒前
YSZ完成签到,获得积分10
1秒前
Tlihailihai完成签到,获得积分10
1秒前
星辰大海应助winfred采纳,获得10
1秒前
2秒前
无辜冷雁发布了新的文献求助10
2秒前
2秒前
3秒前
Akim应助酷炫的问芙采纳,获得10
4秒前
4秒前
wtuy完成签到,获得积分10
5秒前
ellen发布了新的文献求助20
5秒前
5秒前
mmz完成签到 ,获得积分10
5秒前
wanci应助唐平萱采纳,获得10
6秒前
sixwin驳回了wilmop应助
6秒前
在水一方应助6666采纳,获得10
6秒前
LM完成签到,获得积分10
6秒前
molihuakai应助动听绿茶采纳,获得30
7秒前
ChenHaotian发布了新的文献求助10
7秒前
斯文的盼海完成签到 ,获得积分10
8秒前
樘樘发布了新的文献求助10
8秒前
9秒前
英姑应助向日葵的暖洋洋采纳,获得10
10秒前
11秒前
11秒前
12秒前
英吉利25发布了新的文献求助10
12秒前
12秒前
BruceQ完成签到,获得积分10
13秒前
13秒前
Owen应助黄黄采纳,获得10
13秒前
13秒前
vy67发布了新的文献求助50
14秒前
14秒前
14秒前
14秒前
15秒前
852应助淡淡飞丹采纳,获得10
15秒前
开飞机的小羊完成签到,获得积分10
16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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 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 7615998
求助须知:如何正确求助?哪些是违规求助? 9191343
关于积分的说明 19695776
捐赠科研通 7188567
什么是DOI,文献DOI怎么找? 3271522
关于科研通互助平台的介绍 2434637
邀请新用户注册赠送积分活动 2266665