2026-02-27 中国科学院（CAS）
＜関連情報＞
- https://english.cas.cn/newsroom/research-news/202602/t20260228_1151302.shtml
- https://www.nature.com/articles/s41467-026-69347-7
snFLARE-seqとmxFRIZNGRNDを用いた、解剖学的起源の異なる前立腺癌のトランスクリプトームおよびメタボロームの解析 Analysis of the transcriptomic and metabolomic landscape of prostate cancer with different anatomical origins using snFLARE-seq and mxFRIZNGRND
Dongyin He (何东印),Haoran Hu (胡浩然),Kai Xiao (肖楷),Yuhang Zhang (张宇航),Yongbing Cheng (程勇兵),Shaozhuo Jiao (焦少灼),Yimei Hao (郝一妹),Yuanyuan Cai (蔡园园),Ziqun Liu (刘子群),Xinran Yan (颜欣然),Qinsheng Chen (陈钦盛),Xiyan Mu (穆希岩),Qi Wang (王琪),Shan Peng (彭姗),Guoqin Sang (桑国芹),Xiaoling Zhi (职小玲),Yanxia Chang (常燕霞),Qing Ye (叶青),Yuyao Yang (杨羽尧),Meixia Che (车美霞),Shengsong Huang (黄盛松),Hongqian Guo (郭宏骞),Luonan Chen (陈洛南),Huiru Tang (唐惠儒),… Zhenfei Li (李振斐)
Nature Communications Published:07 February 2026
DOI:https://doi.org/10.1038/s41467-026-69347-7 Unedited version
Abstract
Prostate cancer cells of different anatomical locations display remarkable heterogeneity. This poses a challenge to the clinical relevance of pre-clinical models and the efficacy of contemporary therapeutic approaches. Here we develop the snFLARE-seq and mxFRIZNGRND methodologies to directly investigate the transcriptomic and metabolomic landscape of prostate cancer patients utilizing formalin-fixed paraffin-embedded (FFPE) specimens. A retrospective analysis reveals the clinical disparities of prostate cancer from peripheral zone (PZ), transition zone (TZ), and across PZ and TZ. The snFLARE-seq, refined for enhanced single-nucleus sequencing, unveils distinct cell type distributions and signaling pathways between PZ and TZ samples. Hormone therapy substantially affects cancer cells and microenvironment, leading to a polarized feature of epithelial cells and a subverted immune microenvironment. With improvements in metabolite extraction, mxFRIZNGRND reveals unique metabolic features of prostate cancer from different origins. The metabolomic results indicate that PZ cancer cells are in a metabolic-dormant status, which are probably awaken by hormone therapy. Integrative analysis of results from snFLARE-seq, mxFRIZNGRND, and TCGA database uncovers four metabolic pathways and related genes associated with disease aggressiveness. Our work could accelerate investigations on disease heterogeneity and evolution in real-world clinical settings, stimulating patient-specific precision healthcare solutions.
