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一项关于透明细胞肾细胞癌的代谢组学初步研究。

A pilot metabolomics study on clear cell renal cell carcinoma.

作者信息

Gan Ying, Li Zheng, Ruan Mingjian, Yang Yang

机构信息

Department of Urology, Peking University First Hospital, Beijing, 100034, China.

Institute of Urology, Peking University, Beijing, 100034, China.

出版信息

BMC Urol. 2025 Apr 9;25(1):82. doi: 10.1186/s12894-025-01767-x.

DOI:10.1186/s12894-025-01767-x
PMID:40205595
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11980119/
Abstract

Clear cell renal cell carcinoma (ccRCC) is fundamentally a metabolic disease. To investigate the underlying metabolite changes in the occurrence of ccRCC, we analyzed untargeted metabolomics of 15 ccRCC samples and paired adjacent non-malignant renal tissues by UHPLC-MS/MS analyses. In this study, 511 differential metabolites were screened, of which the top ten up-regulated metabolites in ccRCC were histamine, 1-methylnicotinamide, L-kynurenine, cortisol, tetrahydrocorticosterone, calcitriol, D-erythrose 4-phosphate, citric acid, sedoheptulose 1,7-bisphosphate, and UDP-alpha-D-galactose, and the top down-regulated metabolites were D-cysteine, acetylcholine, pantothenic acid, cytosine, UMP, biocytin, dUMP, 5-phosphoribosyl 1-pyrophosphate, cytidine-5'-monophosphate, and 16α-hydroxyestrone. KEGG pathways enrichment analysis further demonstrated several highlighted pathways: steroid hormone biosynthesis, pyrimidine metabolism, and vitamin digestion and absorption. Our study reveals metabolic patterns of ccRCC and provides insight into the potential biomarker panel to diagnose ccRCC.

摘要

透明细胞肾细胞癌(ccRCC)本质上是一种代谢性疾病。为了研究ccRCC发生过程中潜在的代谢物变化,我们通过超高效液相色谱-串联质谱(UHPLC-MS/MS)分析对15例ccRCC样本及其配对的相邻非恶性肾组织进行了非靶向代谢组学分析。在本研究中,筛选出511种差异代谢物,其中ccRCC中上调排名前十的代谢物为组胺、1-甲基烟酰胺、L-犬尿氨酸、皮质醇、四氢皮质酮、骨化三醇、D-赤藓糖-4-磷酸、柠檬酸、景天庚酮糖-1,7-二磷酸和UDP-α-D-半乳糖,下调排名前十的代谢物为D-半胱氨酸、乙酰胆碱、泛酸、胞嘧啶、尿苷一磷酸、生物胞素、脱氧尿苷一磷酸、5-磷酸核糖-1-焦磷酸、胞苷-5'-单磷酸和16α-羟基雌酮。京都基因与基因组百科全书(KEGG)通路富集分析进一步显示了几个突出的通路:类固醇激素生物合成、嘧啶代谢以及维生素消化与吸收。我们的研究揭示了ccRCC的代谢模式,并为诊断ccRCC的潜在生物标志物组提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/67027646e6cd/12894_2025_1767_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/c670b721e262/12894_2025_1767_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/f49f83d2dc26/12894_2025_1767_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/e0fd2f99ac0c/12894_2025_1767_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/1b52154364e1/12894_2025_1767_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/67027646e6cd/12894_2025_1767_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/c670b721e262/12894_2025_1767_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/f49f83d2dc26/12894_2025_1767_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/e0fd2f99ac0c/12894_2025_1767_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/1b52154364e1/12894_2025_1767_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fb5/11980119/67027646e6cd/12894_2025_1767_Fig5_HTML.jpg

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The Role of MUC1 in Renal Cell Carcinoma.MUC1 在肾细胞癌中的作用。
Biomolecules. 2024 Mar 7;14(3):315. doi: 10.3390/biom14030315.
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The dark side of lipid metabolism in prostate and renal carcinoma: novel insights into molecular diagnostic and biomarker discovery.
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Expert Rev Mol Diagn. 2023 Apr;23(4):297-313. doi: 10.1080/14737159.2023.2195553. Epub 2023 Mar 28.
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Renal Cell Carcinoma as a Metabolic Disease: An Update on Main Pathways, Potential Biomarkers, and Therapeutic Targets.肾细胞癌作为一种代谢疾病:主要途径、潜在生物标志物和治疗靶点的最新研究进展。
Int J Mol Sci. 2022 Nov 18;23(22):14360. doi: 10.3390/ijms232214360.
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