Optimized circular RNA vaccines for superior cancer immunotherapy

癌症免疫疗法 免疫疗法 癌症 核糖核酸 医学 计算生物学 癌症研究 生物 病毒学 内科学 遗传学 基因
作者
Hongwu Yu,Yifan Wen,Wenqian Yu,Liang Lu,Yu Yang,Chengye Liu,Zhixiang Hu,Zhi Fang,Shenglin Huang
出处
期刊:Theranostics [Ivyspring International Publisher]
卷期号:15 (4): 1420-1438
标识
DOI:10.7150/thno.104698
摘要

Rationale: Circular RNA (circRNA) has gained attention as a promising platform for mRNA vaccines due to its stability, sustained protein expression, and intrinsic immunostimulatory properties. This study aimed to design and optimize a circRNA cancer vaccine platform by screening for efficient internal ribosome entry sites (IRES) and enhancing circRNA translation efficiency for improved cancer immunotherapy. Methods: We screened 29 IRES elements to identify the most efficient one for immune cell translation, ultimately discovering the Enterovirus A (EV-A) IRES. Using SHAPE-MaP technology, we analyzed the secondary structure of circRNA and introduced targeted mutations and deletions to optimize translation efficiency. Additionally, we investigated the regulatory roles of spacer sequences and microRNA recognition sites in circRNA design and examined the mechanisms behind IRES-mediated translation initiation. Results: The EV-A IRES was identified as the most efficient for immune cell translation. Structural modifications and optimization of spacer sequences enhanced the translation efficiency of circRNA. Comparative studies demonstrated that circRNA vaccines induced stronger T cell immune responses and exhibited superior tumor prevention and therapeutic efficacy compared to traditional linear mRNA vaccines. Conclusion: The optimized tumor antigen circRNA vaccine platform offers a stable, efficient alternative to conventional mRNA vaccines for cancer immunotherapy, with enhanced immune responses and improved therapeutic outcomes. This work lays the foundation for developing circRNA-based vaccines as a novel strategy for cancer treatment.

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
七院应助阿丘采纳,获得30
1秒前
wjx666777完成签到,获得积分20
1秒前
ZhouYW完成签到,获得积分20
2秒前
3秒前
Dragon完成签到,获得积分10
3秒前
3秒前
3秒前
柳絮完成签到,获得积分20
4秒前
。.。发布了新的文献求助10
4秒前
5秒前
万能图书馆应助果子采纳,获得10
6秒前
mhl11应助雪山飞龙采纳,获得20
7秒前
8秒前
医路有你发布了新的文献求助10
8秒前
jzyy发布了新的文献求助10
8秒前
9秒前
Kevin完成签到,获得积分10
9秒前
大个应助朴素的大地采纳,获得30
9秒前
72J发布了新的文献求助30
10秒前
科研能完成签到 ,获得积分10
11秒前
稞小弟完成签到,获得积分10
11秒前
劲秉应助鲤鱼灵竹采纳,获得10
12秒前
靖哥哥发布了新的文献求助30
12秒前
Solaris发布了新的文献求助20
13秒前
开朗冷雪发布了新的文献求助10
13秒前
13秒前
果子发布了新的文献求助10
17秒前
dddd完成签到 ,获得积分10
18秒前
沈星燃发布了新的文献求助10
21秒前
平常的刺猬完成签到 ,获得积分10
21秒前
21秒前
czy完成签到,获得积分10
21秒前
nono完成签到,获得积分10
22秒前
俏皮易绿完成签到 ,获得积分10
24秒前
iNk应助ZhouYW采纳,获得50
24秒前
研友_LOq7aZ完成签到,获得积分20
25秒前
果子完成签到,获得积分20
25秒前
动听的一一完成签到 ,获得积分10
26秒前
甜橙子发布了新的文献求助10
27秒前
vigor完成签到 ,获得积分10
27秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
BIOLOGY OF NON-CHORDATES 1000
进口的时尚——14世纪东方丝绸与意大利艺术 Imported Fashion:Oriental Silks and Italian Arts in the 14th Century 800
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
Green building development for a sustainable environment with artificial intelligence technology 500
Zeitschrift für Orient-Archäologie 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3351649
求助须知:如何正确求助?哪些是违规求助? 2977118
关于积分的说明 8677840
捐赠科研通 2658157
什么是DOI,文献DOI怎么找? 1455504
科研通“疑难数据库(出版商)”最低求助积分说明 674001
邀请新用户注册赠送积分活动 664503