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Single-cell analysis revealing the metabolic landscape of prostate cancer
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作者 Jing Wang He-Kang Ding +7 位作者 han-jiang xu De-Kai Hu William Hankey Li Chen Jun Xiao Chao-Zhao Liang Bing Zhao Ling-Fan xu 《Asian Journal of Andrology》 SCIE CAS CSCD 2024年第5期451-463,共13页
Tumor metabolic reprogramming is a hallmark of cancer development,and targeting metabolic vulnerabilities has been proven to be an effective approach for castration-resistant prostate cancer(CRPC)treatment.Nevertheles... Tumor metabolic reprogramming is a hallmark of cancer development,and targeting metabolic vulnerabilities has been proven to be an effective approach for castration-resistant prostate cancer(CRPC)treatment.Nevertheless,treatment failure inevitably occurs,largely due to cellular heterogeneity,which cannot be deciphered by traditional bulk sequencing techniques.By employing computational pipelines for single-cell RNA sequencing,we demonstrated that epithelial cells within the prostate are more metabolically active and plastic than stromal cells.Moreover,we identified that neuroendocrine(NE)cells tend to have high metabolic rates,which might explain the high demand for nutrients and energy exhibited by neuroendocrine prostate cancer(NEPC),one of the most lethal variants of prostate cancer(PCa).Additionally,we demonstrated through computational and experimental approaches that variation in mitochondrial activity is the greatest contributor to metabolic heterogeneity among both tumor cells and nontumor cells.These results establish a detailed metabolic landscape of PCa,highlight a potential mechanism of disease progression,and emphasize the importance of future studies on tumor heterogeneity and the tumor microenvironment from a metabolic perspective. 展开更多
关键词 cancer heterogeneity cancer metabolism GLUTAMINE prostate cancer single-cell sequencing
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