An immunogenic personal neoantigen vaccine for patients with melanoma

免疫原性 免疫学 抗原 黑色素瘤 免疫系统 医学 癌症 佐剂 接种疫苗 免疫疗法 免疫 癌症研究 癌症疫苗 内科学
作者
Patrick Alexander Ott,Zhuting Hu,Derin B. Keskin,Sachet Ashok Shukla,Jing Sun,David J. Bozym,Wandi Zhang,Adrienne Luoma,Anita Giobbie‐Hurder,Lauren E. Peter,Christina Chen,Oriol Olive,Todd A. Carter,Shuqiang Li,David Lieb,Thomas Eisenhaure,Evisa Gjini,Jonathan D. Stevens,William J. Lane,Indu Javeri
出处
期刊:Nature [Nature Portfolio]
卷期号:547 (7662): 217-221 被引量:2931
标识
DOI:10.1038/nature22991
摘要

The results of a phase I trial assessing a personal neoantigen multi-peptide vaccine in patients with melanoma, showing feasibility, safety, and immunogenicity. Neoantigens have long been considered optimal targets for anti-tumour vaccines, and recent mutation coding and prediction techniques have aimed to streamline their identification and selection. Two papers in this issue report results from personalized neoantigen vaccine trials in patients with cancer. Catherine Wu and colleagues report the results of a phase I trial of a personalized cancer vaccine that targets up to 20 patient neoantigens. The vaccine was safe and induced tumour-antigen-specific immune responses. Four out of six patients treated showed no recurrence at 25 months, and progressing patients responded to further therapy with checkpoint inhibitor. Ugur Sahin and colleagues report the first-in-human application of a personalized neoantigen vaccine in patients with melanoma. Their vaccination strategy includes sequencing and computational identification of neoantigens from patients, and design and manufacture of a poly-antigen RNA vaccine for treatment. In 13 patients, the vaccine boosted immunity against some of the selected tumour antigens from the individual patients, and two patients showed infiltration of tumour-reactive T cells. These results suggest that personalized vaccines could be refined and tailored to provide clinical benefit as cancer immunotherapies. Effective anti-tumour immunity in humans has been associated with the presence of T cells directed at cancer neoantigens1, a class of HLA-bound peptides that arise from tumour-specific mutations. They are highly immunogenic because they are not present in normal tissues and hence bypass central thymic tolerance. Although neoantigens were long-envisioned as optimal targets for an anti-tumour immune response2, their systematic discovery and evaluation only became feasible with the recent availability of massively parallel sequencing for detection of all coding mutations within tumours, and of machine learning approaches to reliably predict those mutated peptides with high-affinity binding of autologous human leukocyte antigen (HLA) molecules. We hypothesized that vaccination with neoantigens can both expand pre-existing neoantigen-specific T-cell populations and induce a broader repertoire of new T-cell specificities in cancer patients, tipping the intra-tumoural balance in favour of enhanced tumour control. Here we demonstrate the feasibility, safety, and immunogenicity of a vaccine that targets up to 20 predicted personal tumour neoantigens. Vaccine-induced polyfunctional CD4+ and CD8+ T cells targeted 58 (60%) and 15 (16%) of the 97 unique neoantigens used across patients, respectively. These T cells discriminated mutated from wild-type antigens, and in some cases directly recognized autologous tumour. Of six vaccinated patients, four had no recurrence at 25 months after vaccination, while two with recurrent disease were subsequently treated with anti-PD-1 (anti-programmed cell death-1) therapy and experienced complete tumour regression, with expansion of the repertoire of neoantigen-specific T cells. These data provide a strong rationale for further development of this approach, alone and in combination with checkpoint blockade or other immunotherapies.
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
紫儿啊发布了新的文献求助10
刚刚
春日防卫队Fire完成签到,获得积分10
1秒前
123发布了新的文献求助10
1秒前
牛牛发布了新的文献求助10
1秒前
沉默的盼夏完成签到,获得积分10
2秒前
Jian完成签到,获得积分10
2秒前
初景的应助被甜美秋采纳,获得20
3秒前
12发布了新的文献求助10
3秒前
3秒前
FIKA完成签到,获得积分10
4秒前
搜集达人的应助被yiyi采纳,获得10
5秒前
5秒前
springlrt的应助被刘海青采纳,获得30
6秒前
7秒前
无花果的应助被茹茹采纳,获得10
7秒前
Lucas的应助被YEE采纳,获得10
7秒前
zsg完成签到,获得积分10
7秒前
7秒前
GS11完成签到,获得积分10
8秒前
XHH关闭了XHH的文献求助
8秒前
kiki完成签到,获得积分10
8秒前
王霸完成签到,获得积分10
9秒前
烟花的应助被爱学习的Lili_O采纳,获得10
10秒前
肖帅帅完成签到,获得积分10
10秒前
wfk发布了新的文献求助10
10秒前
YUAN的应助被凡松采纳,获得20
11秒前
刘芋叶发布了新的文献求助10
11秒前
11秒前
11秒前
开朗真完成签到 ,获得积分10
11秒前
11秒前
Abyss发布了新的文献求助10
12秒前
大气的莆完成签到,获得积分10
12秒前
细心俊驰完成签到,获得积分20
12秒前
12秒前
12秒前
DW的应助被牛牛采纳,获得10
12秒前
13秒前
砼砼完成签到,获得积分10
14秒前
14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
From Scaling and Perturbation to Stability 5000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8030945
求助须知:如何正确求助?哪些是违规求助? 9469909
关于积分的说明 21241007
捐赠科研通 7600632
什么是DOI,文献DOI怎么找? 3388571
关于科研通互助平台的介绍 2520886
邀请新用户注册赠送积分活动 2425495