Fueling Prostate Cancer: The Central Role of Glutamine/Glutamate Metabolic Reprogramming

作者
Abdulrahman Alhallaq,N. Sultan
出处
期刊:Asian Pacific Journal of Cancer Prevention [West Asia Organization for Cancer Prevention]
卷期号:26 (9): 3157-3174 被引量:1
标识
DOI:10.31557/apjcp.2025.26.9.3157
摘要

Metabolic reprogramming induced by the glutamine/glutamate (Gln/Glu) metabolic pathway is a key mechanism in ATP production, precursor biosynthesis, and redox homeostasis, promoting prostate cancer (PCa) growth and proliferation. This evolutionarily acquired hallmark of cancers enables malignant cells to adapt their bioenergetic and biosynthetic pathways in response to microenvironmental stresses. Therefore, Gln/Glu metabolism orchestrates epigenetic regulation, metastatic capacity, and oxidative homeostasis in PCa, supporting the survival of PCa tumors. Fluctuations in Glu metabolite levels and oxygen tension shape the PCa epigenome by facilitating Glu-derived α-ketoglutarate (α-KG) activation of TET and KDM enzymes, which drive histone and DNA demethylation. Furthermore, tumor progression toward metastatic castration-resistant PCa is characterized by heightened Gln/Glu dependency and increased Gln uptake. Within the tumor microenvironment (TME), a dynamic tug-of-war occurs between tumor and immune cells, competing for Gln metabolites. Gln/Glu converges on critical oncogenic signaling axes, including NF-κB/Nrf2, c-Myc/androgen receptor, MAPK/ERK, and PI3K/AKT/mTOR. Additionally, extracellular Glu release via SLC7A11 and PSMA triggers metabotropic glutamate receptor (mGluR) signaling, further potentiating oncogenic programs. Targeting this Gln/Glu metabolic network thus presents a promising therapeutic approach against PCa. In this review, we summarize the role of Gln/Glu in PCa progression based on the compartmentalization of the Gln/Glu metabolic pathway to elucidate why PCa cells manifest dependence on Gln/Glu. Eventually, we highlight potential therapeutic targets that can be exploited for PCa 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
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
蓝色发布了新的文献求助10
刚刚
Hot发布了新的文献求助10
刚刚
hydenbear完成签到,获得积分10
刚刚
SimonShaw完成签到,获得积分10
1秒前
11完成签到,获得积分10
1秒前
乐乐应助学霸土豆采纳,获得10
2秒前
聪慧寄文发布了新的文献求助10
3秒前
Lyx122524完成签到,获得积分10
3秒前
Daisy完成签到,获得积分10
3秒前
追寻寄真关注了科研通微信公众号
3秒前
谦让的振家完成签到,获得积分10
3秒前
燕燕于飞发布了新的文献求助10
4秒前
zy完成签到,获得积分20
4秒前
4秒前
rumoz完成签到,获得积分10
4秒前
小送完成签到,获得积分10
4秒前
jxjsyf完成签到 ,获得积分10
5秒前
5秒前
6秒前
hz关注了科研通微信公众号
6秒前
6秒前
欧米伽发布了新的文献求助10
6秒前
九号球完成签到,获得积分10
6秒前
Daisy发布了新的文献求助10
7秒前
酷波er应助坦率易巧采纳,获得10
7秒前
7秒前
科研通AI6.2应助风犬少年采纳,获得10
7秒前
7秒前
Hot完成签到,获得积分10
7秒前
7秒前
科研通AI6.1应助yaya采纳,获得10
7秒前
xiaoyi完成签到,获得积分20
8秒前
坚强豪英发布了新的文献求助10
8秒前
巨星不吃辣完成签到,获得积分10
8秒前
CN完成签到,获得积分20
8秒前
8秒前
8秒前
花怂怂完成签到 ,获得积分10
9秒前
别说话完成签到,获得积分10
9秒前
9秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6478722
求助须知:如何正确求助?哪些是违规求助? 8280233
关于积分的说明 17660271
捐赠科研通 5561280
什么是DOI,文献DOI怎么找? 2911216
邀请新用户注册赠送积分活动 1888251
关于科研通互助平台的介绍 1742151