Mutation in CDC42 Gene Set as a Response Biomarker for Immune Checkpoint Inhibitor Therapy

CDC42型 生物标志物 效应器 基因 突变 功能(生物学) 免疫检查点 免疫系统 生物 癌症研究 损失函数 计算生物学 遗传学 免疫学 免疫疗法 信号转导 表型
作者
Kun Wang,Yingying Zhang,Zhaoming Su,Bei Wang,Yuanyang Zhou,Xiaochu Tong,Chengying Xie,Xiaomin Luo,Sulin Zhang,Mingyue Zheng
出处
期刊:Cancer Medicine [Wiley]
卷期号:14 (1)
标识
DOI:10.1002/cam4.70556
摘要

ABSTRACT Background Immune checkpoint inhibitors (ICIs) have achieved great success; however, a subset of patients exhibits no response. Consequently, there is a critical need for reliable predictive biomarkers. Our focus is on CDC42, which stimulates multiple signaling pathways promoting tumor growth. We hypothesize that an impaired function of CDC42 may serve as an indicator of a patient's response to ICI therapy. Methods We consider CDC42 and its downstream binding and effector proteins as a gene set, as mutations in these components could lead to defective CDC42 function. To elucidate the biomarker function of mutations within the CDC42 gene set, we curated a comprehensive discovery dataset that included seven ICI treatment cohorts. And we curated two ICI treatment cohorts for validation. We explored the mechanism based on The Cancer Genome Atlas database. We also examined whether combining a CDC42 inhibitor with ICI could enhance ICI's efficacy. Results Mutations in the CDC42 gene set were associated with improved overall survival and progression‐free survival. Furthermore, our analysis of immune response landscapes among different statuses of the CDC42 gene set supports its role as a biomarker. Animal experiments also revealed that the combination of the CDC42 inhibitor (ML141) with anti‐PD‐1 blockade can additively reduce tumor growth. Conclusions Our study suggests that the CDC42 gene set mutations could potentially serve as a novel biomarker for the clinical response to ICI treatment. This finding also provides insights into the potential of combining ICI and CDC42 inhibitor use for more efficient patient treatment.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
雨轩完成签到,获得积分10
刚刚
堪嚣发布了新的文献求助10
2秒前
走走完成签到,获得积分10
2秒前
独特的鱼发布了新的文献求助10
3秒前
zhang完成签到 ,获得积分10
3秒前
陈阳完成签到,获得积分10
5秒前
小米呀完成签到,获得积分20
5秒前
5秒前
共享精神应助独特的鱼采纳,获得10
10秒前
墨斗鱼发布了新的文献求助10
11秒前
Jessie完成签到 ,获得积分10
12秒前
12秒前
心灵美的虔纹完成签到 ,获得积分10
15秒前
共享精神应助momucy采纳,获得10
15秒前
cx发布了新的文献求助10
16秒前
17秒前
19秒前
19秒前
搜集达人应助科研通管家采纳,获得10
19秒前
完美世界应助科研通管家采纳,获得10
19秒前
Ava应助科研通管家采纳,获得10
19秒前
充电宝应助科研通管家采纳,获得10
19秒前
小蘑菇应助科研通管家采纳,获得10
19秒前
FashionBoy应助科研通管家采纳,获得10
19秒前
19秒前
所所应助科研通管家采纳,获得30
20秒前
在水一方应助科研通管家采纳,获得30
20秒前
20秒前
大模型应助科研通管家采纳,获得10
20秒前
Zhumengkang发布了新的文献求助10
20秒前
李健应助墨斗鱼采纳,获得10
23秒前
niu魔王完成签到,获得积分10
23秒前
Ace发布了新的文献求助50
24秒前
ppsweek发布了新的文献求助10
25秒前
梦残斋完成签到,获得积分10
26秒前
陈晚饭完成签到,获得积分10
28秒前
ppsweek完成签到,获得积分20
29秒前
研友_VZG7GZ应助ppsweek采纳,获得10
32秒前
34秒前
核桃应助要记得微笑啊采纳,获得30
38秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Semantics for Latin: An Introduction 1099
Robot-supported joining of reinforcement textiles with one-sided sewing heads 780
水稻光合CO2浓缩机制的创建及其作用研究 500
Logical form: From GB to Minimalism 500
2025-2030年中国消毒剂行业市场分析及发展前景预测报告 500
镇江南郊八公洞林区鸟类生态位研究 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4165832
求助须知:如何正确求助?哪些是违规求助? 3701438
关于积分的说明 11685858
捐赠科研通 3390118
什么是DOI,文献DOI怎么找? 1859244
邀请新用户注册赠送积分活动 919586
科研通“疑难数据库(出版商)”最低求助积分说明 832229