Single-cell profiling guided combinatorial immunotherapy for fast-evolving CDK4/6 inhibitor-resistant HER2-positive breast cancer.

转移性乳腺癌 肿瘤科 炎症性乳腺癌 癌症 三阴性乳腺癌 仿形(计算机编程)
作者
Qingfei Wang,Ian H. Guldner,Samantha M. Golomb,Longhua Sun,Jack A. Harris,Xin Lu,Siyuan Zhang
出处
期刊:Nature Communications [Nature Portfolio]
卷期号:10 (1): 3817-3817 被引量:35
标识
DOI:10.1038/s41467-019-11729-1
摘要

Acquired resistance to targeted cancer therapy is a significant clinical challenge. In parallel with clinical trials combining CDK4/6 inhibitors to treat HER2+ breast cancer, we sought to prospectively model tumor evolution in response to this regimen in vivo and identify a clinically actionable strategy to combat drug resistance. Despite a promising initial response, acquired resistance emerges rapidly to the combination of anti-HER2/neu antibody and CDK4/6 inhibitor Palbociclib. Using high-throughput single-cell profiling over the course of treatments, we reveal a distinct immunosuppressive immature myeloid cell (IMC) population to infiltrate the resistant tumors. Guided by single-cell transcriptome analysis, we demonstrate that combination of IMC-targeting tyrosine kinase inhibitor cabozantinib and immune checkpoint blockade enhances anti-tumor immunity, and overcomes the resistance. Furthermore, sequential combinatorial immunotherapy enables a sustained control of the fast-evolving CDK4/6 inhibitor-resistant tumors. Our study demonstrates a translational framework for treating rapidly evolving tumors through preclinical modeling and single-cell analyses. The benefit of combined CDK4/6 and anti-HER2 therapy in breast cancer is limited due to acquired resistance. Here, the authors perform single-cell analysis and show an immature myeloid cell population to infiltrate resistant tumors, and that combined cabozantinib and checkpoint therapy overcome this resistance with a sustained efficacy.

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
nacho发布了新的文献求助10
刚刚
大力灵寒完成签到,获得积分10
刚刚
21发布了新的文献求助10
刚刚
刚刚
Nice发布了新的文献求助20
刚刚
刚刚
刚刚
1秒前
mint发布了新的文献求助10
1秒前
pier发布了新的文献求助10
2秒前
2秒前
2秒前
woodword发布了新的文献求助10
2秒前
白山发布了新的文献求助10
2秒前
3秒前
3秒前
吴谷杂粮发布了新的文献求助10
3秒前
molihuakai应助落月鹤影采纳,获得10
3秒前
李健应助学西学习采纳,获得10
4秒前
4秒前
建安完成签到,获得积分10
4秒前
vv发布了新的文献求助10
4秒前
要减肥小小完成签到,获得积分10
4秒前
4秒前
科研通AI6.3应助长京采纳,获得10
4秒前
隐形曼青应助柒吾采纳,获得10
4秒前
1jiaaa完成签到,获得积分10
4秒前
xiaohansan发布了新的文献求助10
5秒前
5秒前
ybhxn发布了新的文献求助10
5秒前
DueDue0327发布了新的文献求助10
5秒前
5秒前
5秒前
6秒前
6秒前
nami发布了新的文献求助10
6秒前
6秒前
liffewq发布了新的文献求助10
6秒前
打打应助jimmyyyyyy采纳,获得10
7秒前
顺利毕业完成签到,获得积分20
7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
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
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 6391552
求助须知:如何正确求助?哪些是违规求助? 8206894
关于积分的说明 17371298
捐赠科研通 5445278
什么是DOI,文献DOI怎么找? 2878829
邀请新用户注册赠送积分活动 1855331
关于科研通互助平台的介绍 1698531