ACOT4 accumulation via AKT-mediated phosphorylation promotes pancreatic tumourigenesis

蛋白激酶B 癌症研究 脂质代谢 胰腺癌 生物标志物 磷酸化 新陈代谢 细胞生长 生物 癌症 内科学 内分泌学 化学 生物化学 医学 遗传学
作者
Chenming Ni,Kailian Zheng,Yunshu Gao,Ying Chen,Keqing Shi,Can-rong Ni,Gang Jin,Guanzhen Yu
出处
期刊:Cancer Letters [Elsevier BV]
卷期号:498: 19-30 被引量:19
标识
DOI:10.1016/j.canlet.2020.09.022
摘要

The acyl-CoA thioesterase (ACOT) family catalyses the hydrolysis of acyl-CoA thioesters to their corresponding non-esterified fatty acid and coenzyme A (CoA). Increasing evidence suggests that cancer cells generally have altered lipid metabolism in different aspects. However, the roles of the ACOT family in cancer, especially in pancreatic ductal carcinoma (PDAC), are largely unknown. In the present study, we mined data to determine the clinical significance of all eleven ACOT genes among nine major solid tumour types from TCGA database and found that the expression of ACOT4 in PDAC was negatively correlated with patient survival, establishing ACOT4 as a potential biomarker of PDAC. Depletion of ACOT4 attenuated the proliferation and tumour formation of PDAC cells. Using mass spectrometry, HSPA1A was found to associate with ACOT4. Furthermore, we found that phosphorylation of ACOT4 at S392 by AKT decreased the binding of ACOT4 to HSPA1A, resulting in ACOT4 accumulation. The ACOT4 elevation promotes pancreatic tumourigenesis by producing excessive CoA to support tumour cell metabolism. Thus, our study expands the relationship between AKT signalling and lipid metabolism and establishes a functional role of ACOT4 in 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
含蓄觅山应助科研通管家采纳,获得10
刚刚
funok应助科研通管家采纳,获得10
刚刚
领导范儿应助科研通管家采纳,获得10
1秒前
星辰大海应助科研通管家采纳,获得10
1秒前
今后应助卿卿采纳,获得10
1秒前
彭于晏应助科研通管家采纳,获得10
1秒前
大模型应助科研通管家采纳,获得10
1秒前
含蓄觅山应助科研通管家采纳,获得10
1秒前
2秒前
XXAAA完成签到,获得积分10
2秒前
搜集达人应助科研通管家采纳,获得10
2秒前
funok应助科研通管家采纳,获得10
2秒前
小二郎应助科研通管家采纳,获得10
2秒前
Overload发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
2秒前
NexusExplorer应助科研通管家采纳,获得10
2秒前
汉堡包应助Jiaaaa采纳,获得10
3秒前
风语过完成签到,获得积分10
3秒前
英俊的铭应助FG采纳,获得10
5秒前
Angela发布了新的文献求助10
5秒前
天才发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
ccccc发布了新的文献求助30
8秒前
FG完成签到,获得积分10
8秒前
9秒前
9秒前
10秒前
10秒前
11秒前
11秒前
NexusExplorer应助gwt采纳,获得10
12秒前
aaaa应助搞怪以莲采纳,获得30
13秒前
jijibao发布了新的文献求助10
14秒前
14秒前
大脸猫爱吃肉肉罐头完成签到,获得积分10
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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
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
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
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 7617112
求助须知:如何正确求助?哪些是违规求助? 9192425
关于积分的说明 19700058
捐赠科研通 7189502
什么是DOI,文献DOI怎么找? 3271994
关于科研通互助平台的介绍 2434749
邀请新用户注册赠送积分活动 2266986