Targeting Strategies for Glucose Metabolic Pathways and T Cells in Colorectal Cancer

结直肠癌 代谢途径 癌症研究 T细胞 转移 癌症 生物 癌细胞 糖酵解 免疫学 新陈代谢 免疫系统 内分泌学 遗传学
作者
Gang Wang,Junjie Wang,Rui Guan,Yan Sun,Feng Shi,Jing Gao,Xingli Fu
出处
期刊:Current Cancer Drug Targets [Bentham Science]
卷期号:19 (7): 534-550 被引量:1
标识
DOI:10.2174/1568009618666181015150138
摘要

Colorectal cancer is a heterogeneous group of diseases that result from the accumulation of different sets of genomic alterations, together with epigenomic alterations, and it is influenced by tumor-host interactions, leading to tumor cell growth and glycolytic imbalances. This review summarizes recent findings that involve multiple signaling molecules and downstream genes in the dysregulated glycolytic pathway. This paper further discusses the role of the dysregulated glycolytic pathway in the tumor initiation, progression and the concomitant systemic immunosuppression commonly observed in colorectal cancer patients. Moreover, the relationship between colorectal cancer cells and T cells, especially CD8+ T cells, is discussed, while different aspects of metabolic pathway regulation in cancer cell proliferation are comprehensively defined. Furthermore, this study elaborates on metabolism in colorectal cancer, specifically key metabolic modulators together with regulators, glycolytic enzymes, and glucose deprivation induced by tumor cells and how they inhibit T-cell glycolysis and immunogenic functions. Moreover, metabolic pathways that are integral to T cell function, differentiation, and activation are described. Selective metabolic inhibitors or immunemodulation agents targeting these pathways may be clinically useful to increase effector T cell responses for colorectal cancer treatment. However, there is a need to identify specific antigens using a cancer patient-personalized approach and combination strategies with other therapeutic agents to effectively target tumor metabolic pathways.
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
刚刚
哭泣的又蓝完成签到,获得积分10
1秒前
感性发布了新的文献求助10
1秒前
1秒前
青槿完成签到,获得积分10
1秒前
1秒前
852应助公西栾采纳,获得10
1秒前
FashionBoy应助阿玉采纳,获得10
1秒前
2秒前
2秒前
皮包医师完成签到,获得积分10
2秒前
木木木木发布了新的文献求助10
3秒前
带馅儿的酥饼应助Always采纳,获得10
4秒前
4秒前
小马甲应助wyb采纳,获得10
4秒前
fool发布了新的文献求助10
4秒前
4秒前
颜沐发布了新的文献求助10
5秒前
5秒前
英姑应助波安班采纳,获得10
5秒前
彭于晏应助Reginannnn采纳,获得10
5秒前
lalala应助兴奋千兰采纳,获得10
5秒前
wanci应助仁爱诗云采纳,获得10
6秒前
韩保晨完成签到 ,获得积分10
7秒前
爱狗人士Hito完成签到,获得积分10
7秒前
郭念坤发布了新的文献求助10
7秒前
7秒前
周昊完成签到,获得积分10
7秒前
8秒前
科研通AI2S应助高兴的忆曼采纳,获得10
8秒前
8秒前
orange完成签到,获得积分10
10秒前
10秒前
11秒前
11秒前
充电宝应助小王采纳,获得10
11秒前
科研通AI5应助矮小的城采纳,获得50
12秒前
温暖的尔云完成签到,获得积分10
12秒前
郭念坤完成签到,获得积分10
12秒前
科研通AI5应助白方明采纳,获得10
12秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Covalent Organic Frameworks 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3481607
求助须知:如何正确求助?哪些是违规求助? 3071658
关于积分的说明 9123400
捐赠科研通 2763408
什么是DOI,文献DOI怎么找? 1516476
邀请新用户注册赠送积分活动 701579
科研通“疑难数据库(出版商)”最低求助积分说明 700426