清细胞细胞癌中的代谢重编程:核心途径和向治疗策略
MingWei Zhan1, BinBin Zhao1,2, Haote Chen1
1Department of Urology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University (Hangzhou Hospital of Traditional Chinese Medicine), Hangzhou, China.
清细胞细胞癌 (ccRCC) 呈现出显著的代谢变化,包括改变碳代谢和脂质积累,影响预后和治疗. 针对这些代谢脆弱性,以及免疫反应,为ccRCC提供了新的精确瘤学策略.
科学领域:
- 在瘤学瘤学.
- 代谢途径 代谢途径
- 癌症免疫学 癌症免疫学
背景情况:
- 清细胞细胞癌 (ccRCC) 的特点是VHL损失,导致失调的缺氧诱导因子 (HIF) 信号传递.
- 这导致了深刻的代谢重编程,包括增强的葡萄糖分解,改变的TCA循环,脂质积累,依赖谷氨和单碳代谢.
- 这些代谢转变与免疫抑制瘤微环境密切相关.
研究的目的:
- 绘制关键代谢途径 (碳,脂质,氨基酸,单碳) 和它们与ccRCC中的铁化相互作用的地图.
- 阐明代谢异质性和代谢-免疫交叉在ccRCC预后和治疗耐药性的作用.
- 概述ccRCC治疗中的精密代谢瘤学的转化策略和决策框架.
主要方法:
- 整合单细胞和空间多基因组学,代谢和脂质组学分析以及成像数据.
- 分析代谢途径节点,碳流,脂质代谢,以及它们与铁亡的联系.
- 关于代谢-免疫合及其对免疫治疗耐药性的影响的综合证据.
主要成果:
- 代谢异质性,以DCCD频谱为例,显著影响ccRCC的预后和治疗反应.
- 代谢-免疫合,包括免疫细胞中的脂质重新连接和代谢压力,有助于抵抗免疫疗法.
- 新兴的诊断工具,如放射病理学和循环代谢指纹,对伴随诊断有很大的希望.
结论:
- 针对代谢途径 (HIF-2α,脂质代谢用于铁,谷氨酸,单碳) 与现有疗法 (ICI,TKI) 结合,具有治疗前景.
- 基于DCCD状态,脂质表型,铁灭敏感性和HIF活动的分层决策框架可以指导个性化的ccRCC治疗.
- 数据原则的标准化和生物标志物丰富的试验对于在ccRCC中推进精确代谢瘤学至关重要.
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