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整合空间转录组与代谢研究揭示人类膀胱癌中的代谢异质性

Integrated spatial transcriptome and metabolism study reveals metabolic heterogeneity in human bladder cancer 

原文发布日期:2025-08-16 

英文摘要:

摘要翻译:

原文链接:

文章:

整合空间转录组与代谢研究揭示人类膀胱癌中的代谢异质性

Integrated spatial transcriptome and metabolism study reveals metabolic heterogeneity in human bladder cancer 

原文发布日期:2025-08-16 

英文摘要:

Bladder cancer (BC) is a malignancy that originates from the cells lining the bladder and is one of the most common cancers of the urinary system, capable of occurring in any part of the bladder. However, the molecular mechanisms underlying the malignant transformation of BC have not been systematically studied. This study integrated cutting-edge techniques of spatial transcriptomics (ST) and spatial metabolomics (SM) to capture the transcriptomic and metabolomic landscapes of both BC and adjacent normal tissues. ST results revealed a significant upregulation of genes associated with choline metabolism and glucose metabolism, while genes related to sphingolipid metabolism and tryptophan metabolism were significantly downregulated. Additionally, significant metabolic reprogramming was observed in BC tissues, including the upregulation of choline metabolism and glucose metabolism, as well as the downregulation of sphingolipid metabolism and tryptophan metabolism. These alterations may play a crucial role in promoting tumorigenesis and immune evasion of BC. The interpretation of ST and SM data in this study offers new insights into the molecular mechanisms underlying BC progression and provides valuable clues for the prevention and treatment of BC. Schematic illustration of BC metabolic reprogramming. 

摘要翻译:

膀胱癌(BC)是一种起源于膀胱内壁细胞的恶性肿瘤,是最常见的泌尿系统癌症之一,可发生于膀胱任何部位。然而,其恶性转化的分子机制尚未得到系统研究。本研究整合空间转录组学(ST)和空间代谢组学(SM)前沿技术,捕获了BC组织及癌旁正常组织的转录组与代谢组图谱。ST结果显示:胆碱代谢和葡萄糖代谢相关基因显著上调,而鞘脂代谢和色氨酸代谢相关基因显著下调。同时,BC组织中出现显著的代谢重编程现象,包括胆碱代谢与葡萄糖代谢的上调,以及鞘脂代谢和色氨酸代谢的下调。这些改变可能在促进BC肿瘤发生和免疫逃逸中起关键作用。本研究对ST与SM数据的解读为BC进展的分子机制提供了新见解,并为BC防治提供了宝贵线索。(图示:BC代谢重编程示意图)

原文链接:

Integrated spatial transcriptome and metabolism study reveals metabolic heterogeneity in human bladder cancer

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