Targeting PIKfyve-driven lipid metabolism in pancreatic cancer

克拉斯 脂质代谢 自噬 胰腺癌 生物 MAPK/ERK通路 癌症研究 细胞生物学 激酶 下调和上调 癌症 生物化学 突变 基因 遗传学 细胞凋亡
作者
Caleb Cheng,Jing Hu,Rahul Mannan,Tongchen He,Rupam Bhattacharyya,Brian Magnuson,Jasmine P. Wisniewski,Sydney Peters,Saadia A. Karim,David MacLean,Hüseyin Karabürk,Li Zhang,Nicholas J. Rossiter,Yang Zheng,Lanbo Xiao,Chungen Li,Dominik Awad,Somnath Mahapatra,Yi Bao,Yuping Zhang
出处
期刊:Nature [Nature Portfolio]
卷期号:642 (8068): 776-784 被引量:32
标识
DOI:10.1038/s41586-025-08917-z
摘要

Abstract Pancreatic ductal adenocarcinoma (PDAC) subsists in a nutrient-deregulated microenvironment, making it particularly susceptible to treatments that interfere with cancer metabolism 1,2 . For example, PDAC uses, and is dependent on, high levels of autophagy and other lysosomal processes 3–5 . Although targeting these pathways has shown potential in preclinical studies, progress has been hampered by the difficulty in identifying and characterizing favourable targets for drug development 6 . Here, we characterize PIKfyve, a lipid kinase that is integral to lysosomal functioning 7 , as a targetable vulnerability in PDAC. Using a genetically engineered mouse model, we established that PIKfyve is essential to PDAC progression. Furthermore, through comprehensive metabolic analyses, we found that PIKfyve inhibition forces PDAC to upregulate a distinct transcriptional and metabolic program favouring de novo lipid synthesis. In PDAC, the KRAS–MAPK signalling pathway is a primary driver of de novo lipid synthesis. Accordingly, simultaneously targeting PIKfyve and KRAS–MAPK resulted in the elimination of the tumour burden in numerous preclinical human and mouse models. Taken together, these studies indicate that disrupting lipid metabolism through PIKfyve inhibition induces synthetic lethality in conjunction with KRAS–MAPK-directed therapies for PDAC.
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
1秒前
排水管修理工完成签到,获得积分10
1秒前
情怀应助我3采纳,获得10
1秒前
欧琦发布了新的文献求助10
2秒前
3秒前
见物思理完成签到 ,获得积分10
4秒前
4秒前
5秒前
陈住气发布了新的文献求助10
8秒前
崔崔完成签到,获得积分10
9秒前
筑梦之鱼完成签到,获得积分10
9秒前
9秒前
aajhajkahna应助科研通管家采纳,获得10
9秒前
我是波少发布了新的文献求助30
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
英姑应助科研通管家采纳,获得10
10秒前
Owen应助科研通管家采纳,获得10
10秒前
小卷粉完成签到 ,获得积分10
10秒前
Jasper应助科研通管家采纳,获得10
10秒前
v0id应助科研通管家采纳,获得10
10秒前
10秒前
NN应助科研通管家采纳,获得10
10秒前
科研菜鸟完成签到,获得积分10
10秒前
搜集达人应助科研通管家采纳,获得10
11秒前
传奇3应助排水管修理工采纳,获得10
11秒前
隐形曼青应助科研通管家采纳,获得10
11秒前
11秒前
NN应助科研通管家采纳,获得10
11秒前
咸鱼完成签到,获得积分10
12秒前
12秒前
wuwenyu发布了新的文献求助10
13秒前
pure123完成签到,获得积分10
14秒前
陈住气完成签到,获得积分10
14秒前
15秒前
maoamo2024发布了新的文献求助10
17秒前
Ha完成签到 ,获得积分10
19秒前
22秒前
我是波少完成签到,获得积分10
22秒前
SiqiZhang完成签到,获得积分10
22秒前
maoamo2024完成签到,获得积分10
23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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Child and Adolescent Mental Health 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7600102
求助须知:如何正确求助?哪些是违规求助? 9176216
关于积分的说明 19648242
捐赠科研通 7176215
什么是DOI,文献DOI怎么找? 3268572
关于科研通互助平台的介绍 2433042
邀请新用户注册赠送积分活动 2262187