Therapeutic targets and biomarkers of tumor immunotherapy: response versus non-response

免疫疗法 无容量 易普利姆玛 医学 免疫系统 免疫检查点 彭布罗利珠单抗 癌症免疫疗法 黑色素瘤 癌症 免疫学 癌症研究 内科学
作者
Dongrui Wang,Xianlin Wu,Yingli Sun
出处
期刊:Signal Transduction and Targeted Therapy [Springer Nature]
卷期号:7 (1): 331-331 被引量:408
标识
DOI:10.1038/s41392-022-01136-2
摘要

Abstract Cancers are highly complex diseases that are characterized by not only the overgrowth of malignant cells but also an altered immune response. The inhibition and reprogramming of the immune system play critical roles in tumor initiation and progression. Immunotherapy aims to reactivate antitumor immune cells and overcome the immune escape mechanisms of tumors. Represented by immune checkpoint blockade and adoptive cell transfer, tumor immunotherapy has seen tremendous success in the clinic, with the capability to induce long-term regression of some tumors that are refractory to all other treatments. Among them, immune checkpoint blocking therapy, represented by PD-1/PD-L1 inhibitors (nivolumab) and CTLA-4 inhibitors (ipilimumab), has shown encouraging therapeutic effects in the treatment of various malignant tumors, such as non-small cell lung cancer (NSCLC) and melanoma. In addition, with the advent of CAR-T, CAR-M and other novel immunotherapy methods, immunotherapy has entered a new era. At present, evidence indicates that the combination of multiple immunotherapy methods may be one way to improve the therapeutic effect. However, the overall clinical response rate of tumor immunotherapy still needs improvement, which warrants the development of novel therapeutic designs as well as the discovery of biomarkers that can guide the prescription of these agents. Learning from the past success and failure of both clinical and basic research is critical for the rational design of studies in the future. In this article, we describe the efforts to manipulate the immune system against cancer and discuss different targets and cell types that can be exploited to promote the antitumor immune response.

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
WZ完成签到,获得积分10
刚刚
1秒前
符雁发布了新的文献求助10
1秒前
科研通AI6.4应助WENRUI采纳,获得10
1秒前
科研通AI6.2应助Tao17采纳,获得10
1秒前
打小就帅完成签到,获得积分10
1秒前
酒暄发布了新的文献求助10
1秒前
掮客发布了新的文献求助10
1秒前
oil完成签到,获得积分10
1秒前
jingjing发布了新的文献求助10
2秒前
zhuzihao完成签到,获得积分10
2秒前
3秒前
psycho完成签到,获得积分10
4秒前
4秒前
5秒前
5秒前
5秒前
YY发布了新的文献求助10
5秒前
李不太白完成签到,获得积分10
5秒前
科研通AI2S应助烟雨采纳,获得10
5秒前
洋芋大人关注了科研通微信公众号
6秒前
7秒前
zhongwei2284发布了新的文献求助10
7秒前
Akim应助john2333采纳,获得10
8秒前
8秒前
8秒前
某某某完成签到,获得积分10
8秒前
8秒前
9秒前
李健的小迷弟应助张艳慧采纳,获得10
9秒前
万能图书馆应助罗欢欢采纳,获得10
9秒前
9秒前
闪闪的雨雪完成签到,获得积分10
9秒前
唐煜城发布了新的文献求助10
10秒前
烟花应助机智的聪健采纳,获得10
10秒前
大模型应助鲜艳的盼芙采纳,获得10
10秒前
化学镁铝完成签到,获得积分10
10秒前
10秒前
赘婿应助VitAminC采纳,获得10
11秒前
猪哥哥完成签到,获得积分20
11秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 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 6478027
求助须知:如何正确求助?哪些是违规求助? 8279644
关于积分的说明 17658616
捐赠科研通 5560275
什么是DOI,文献DOI怎么找? 2910983
邀请新用户注册赠送积分活动 1887970
关于科研通互助平台的介绍 1741626