Metabolic reprogramming and its clinical implication for liver cancer

癌症 脂肪肝 肝癌 转移 合成代谢 生物 癌症研究 癌细胞 分解代谢 生物信息学 疾病 医学 新陈代谢 内科学 生物化学 遗传学
作者
Flora Yang,Leena Hilakivi‐Clarke,Aurpita Shaha,Yuanguo Wang,Xianghu Wang,Yibin Deng,Jinping Lai,Ningling Kang
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:78 (5): 1602-1624 被引量:82
标识
DOI:10.1097/hep.0000000000000005
摘要

Cancer cells often encounter hypoxic and hypo-nutrient conditions, which force them to make adaptive changes to meet their high demands for energy and various biomaterials for biomass synthesis. As a result, enhanced catabolism (breakdown of macromolecules for energy production) and anabolism (macromolecule synthesis from bio-precursors) are induced in cancer. This phenomenon is called “metabolic reprogramming,” a cancer hallmark contributing to cancer development, metastasis, and drug resistance. HCC and cholangiocarcinoma (CCA) are 2 different liver cancers with high intertumoral heterogeneity in terms of etiologies, mutational landscapes, transcriptomes, and histological representations. In agreement, metabolism in HCC or CCA is remarkably heterogeneous, although changes in the glycolytic pathways and an increase in the generation of lactate (the Warburg effect) have been frequently detected in those tumors. For example, HCC tumors with activated β-catenin are addicted to fatty acid catabolism, whereas HCC tumors derived from fatty liver avoid using fatty acids. In this review, we describe common metabolic alterations in HCC and CCA as well as metabolic features unique for their subsets. We discuss metabolism of NAFLD as well, because NAFLD will likely become a leading etiology of liver cancer in the coming years due to the obesity epidemic in the Western world. Furthermore, we outline the clinical implication of liver cancer metabolism and highlight the computation and systems biology approaches, such as genome-wide metabolic models, as a valuable tool allowing us to identify therapeutic targets and develop personalized treatments for liver cancer patients.
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
充电宝应助奶尤han采纳,获得10
刚刚
我是老大应助科研通管家采纳,获得10
刚刚
刚刚
Akim应助77采纳,获得10
刚刚
ding应助科研通管家采纳,获得10
刚刚
chx关闭了chx文献求助
刚刚
赘婿应助科研通管家采纳,获得10
刚刚
帅气碧萱应助小小采纳,获得80
刚刚
怡然的涫发布了新的文献求助10
刚刚
wanci应助科研通管家采纳,获得10
刚刚
小马甲应助科研通管家采纳,获得10
1秒前
eric888应助科研通管家采纳,获得100
1秒前
小蘑菇应助科研通管家采纳,获得10
1秒前
1秒前
Aurora应助科研通管家采纳,获得30
1秒前
渡人舟应助科研通管家采纳,获得10
1秒前
斯文败类应助科研通管家采纳,获得10
1秒前
LL发布了新的文献求助10
1秒前
科目三应助科研通管家采纳,获得30
1秒前
852应助科研通管家采纳,获得10
2秒前
搜集达人应助科研通管家采纳,获得10
2秒前
xyq完成签到,获得积分10
2秒前
JamesPei应助科研通管家采纳,获得10
2秒前
2秒前
Ava应助科研通管家采纳,获得10
2秒前
科研通AI2S应助六六采纳,获得10
2秒前
打打应助科研通管家采纳,获得10
2秒前
2秒前
酷波er应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
不留名应助烂漫绮兰采纳,获得10
3秒前
Ava应助科研通管家采纳,获得10
3秒前
在水一方应助科研通管家采纳,获得30
3秒前
景时完成签到,获得积分10
3秒前
打打应助科研通管家采纳,获得10
3秒前
3秒前
Aurora应助科研通管家采纳,获得30
3秒前
陈平安发布了新的文献求助10
3秒前
3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
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7769771
求助须知:如何正确求助?哪些是违规求助? 9312748
关于积分的说明 20330652
捐赠科研通 7355024
什么是DOI,文献DOI怎么找? 3316114
关于科研通互助平台的介绍 2464976
邀请新用户注册赠送积分活动 2330817