In situ self-assembled peptide enables effective cancer immunotherapy by blockage of CD47

肿瘤微环境 免疫系统 免疫疗法 获得性免疫系统 先天免疫系统 癌症免疫疗法 CD47型 癌症研究 生物 抗原呈递 免疫学 细胞生物学 T细胞
作者
Mei-Yu Lv,Wuyi Xiao,Yuepeng Zhang,Lingling Jin,Zhiheng Li,Zhixin Lei,Dong‐Bing Cheng,Shoude Jin
出处
期刊:Colloids and Surfaces B: Biointerfaces [Elsevier]
卷期号:217: 112655-112655 被引量:20
标识
DOI:10.1016/j.colsurfb.2022.112655
摘要

Treatment of late-stage lung cancer has witnessed limited advances. In contrast to the tremendous efforts toward improving adaptive immunity, approaches to modulating innate immunity are relatively immature. As important innate immune cells, tumor-associated macrophages (TAMs) account for a substantial fraction of tumor-infiltrating lymphocytes, which not only reverses the immune-suppressive tumor microenvironment but also facilitates an adaptive immune response. In this study, we developed a tumor-specific MMP-2-responsive CD47 blockage (TMCB) strategy to enable effective cancer immunotherapy. Briefly, the matrix metalloproteinase-2 (MMP-2)-responsive self-assembly peptide specifically recognizes CD47, which is highly expressed in lung tumor cells. Second, the MMP-2-responsive self-assembly peptide is efficiently cleaved by MMP-2, which is overexpressed in the tumor microenvironment. Finally, the generated residual peptide naturally self-assembles into peptide-based nanofibers. The in situ constructed nanofibers inhibit the canonical CD47 "Do not eat me" signal expressed on tumor cells to promote phagocytosis of tumor cells by macrophages, which further induces effective antigen presentation and initiates T cell-mediated adaptive immune responses to inhibit tumor growth. Thus, we described a peptide-based TMCB strategy that induces both innate and adaptive immune systems to inhibit tumor growth.
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
刚刚
奋斗的萝发布了新的文献求助10
刚刚
刚刚
壮观手套发布了新的文献求助10
1秒前
汉堡包应助花砸采纳,获得10
1秒前
夜阑卧听发布了新的文献求助10
2秒前
2秒前
huihui发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
2秒前
xinyuf完成签到,获得积分10
2秒前
含蓄的白莲完成签到,获得积分10
2秒前
mwx发布了新的文献求助10
2秒前
2秒前
rei完成签到,获得积分10
2秒前
3秒前
3秒前
午凌二完成签到,获得积分10
3秒前
王华瑞发布了新的文献求助10
3秒前
3秒前
wshengnan发布了新的文献求助10
3秒前
脑洞疼应助健忘的灵凡采纳,获得20
3秒前
Linyi发布了新的文献求助10
4秒前
4秒前
4秒前
4秒前
文俊杰发布了新的文献求助10
4秒前
科研通AI6.1应助乔伊Y采纳,获得10
4秒前
4秒前
安好擎发布了新的文献求助10
4秒前
4秒前
火星访冬发布了新的文献求助10
5秒前
tiptip应助科研通管家采纳,获得10
5秒前
orixero应助科研通管家采纳,获得10
5秒前
爆米花应助科研通管家采纳,获得10
5秒前
852应助科研通管家采纳,获得10
5秒前
华仔应助科研通管家采纳,获得10
5秒前
tiptip应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
九城发布了新的文献求助10
5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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Terrorism and Power in Russia: The Empire of (In)security and the Remaking of Politics 1000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6047268
求助须知:如何正确求助?哪些是违规求助? 7825686
关于积分的说明 16255640
捐赠科研通 5192850
什么是DOI,文献DOI怎么找? 2778585
邀请新用户注册赠送积分活动 1761699
关于科研通互助平台的介绍 1644306