• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

尿糖蛋白组的深度图谱:ccRCC相关进展的独特特征

In-Depth Mapping of the Urinary -Glycoproteome: Distinct Signatures of ccRCC-related Progression.

作者信息

Santorelli Lucia, Capitoli Giulia, Chinello Clizia, Piga Isabella, Clerici Francesca, Denti Vanna, Smith Andrew, Grasso Angelica, Raimondo Francesca, Grasso Marco, Magni Fulvio

机构信息

Clinical Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy.

Centre of Biostatistics for Clinical Epidemiology, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy.

出版信息

Cancers (Basel). 2020 Jan 18;12(1):239. doi: 10.3390/cancers12010239.

DOI:10.3390/cancers12010239
PMID:31963743
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7016614/
Abstract

Protein -glycosylation is one of the most important post-translational modifications and is involved in many biological processes, with aberrant changes in protein -glycosylation patterns being closely associated with several diseases, including the progression and spreading of tumours. In light of this, identifying these aberrant protein glycoforms in tumours could be useful for understanding the molecular mechanism of this multifactorial disease, developing specific biomarkers and finding novel therapeutic targets. We investigated the urinary -glycoproteome of clear cell renal cell carcinoma (ccRCC) patients at different stages ( = 15 at pT1 and = 15 at pT3), and of non-ccRCC subjects ( = 15), using an -glyco-FASP-based method. Using label-free nLC-ESI MS/MS, we identified and quantified several -glycoproteins with altered expression and abnormal changes affecting the occupancy of the glycosylation site in the urine of RCC patients compared to control. In particular, nine of them had a specific trend that was directly related to the stage progression: CD97, COCH and P3IP1 were up-expressed whilst APOB, FINC, CERU, CFAH, HPT and PLTP were down-expressed in ccRCC patients. Overall, these results expand our knowledge related to the role of this post-translational modification in ccRCC and translation of this information into pre-clinical studies could have a significant impact on the discovery of novel biomarkers and therapeutic target in kidney cancer.

摘要

蛋白质糖基化是最重要的翻译后修饰之一,参与许多生物过程,蛋白质糖基化模式的异常变化与多种疾病密切相关,包括肿瘤的进展和扩散。鉴于此,识别肿瘤中这些异常的蛋白质糖型可能有助于理解这种多因素疾病的分子机制、开发特异性生物标志物以及寻找新的治疗靶点。我们采用基于N-糖基化FASP的方法,研究了不同分期的透明细胞肾细胞癌(ccRCC)患者(pT1期15例,pT3期15例)以及非ccRCC受试者(15例)的尿液N-糖蛋白质组。使用无标记的nLC-ESI MS/MS,我们鉴定并定量了几种表达改变且糖基化位点占据情况发生异常变化的N-糖蛋白,这些变化存在于RCC患者尿液中,与对照组相比有所不同。特别地,其中九种具有与分期进展直接相关的特定趋势:在ccRCC患者中,CD97、COCH和P3IP1表达上调,而APOB、FINC、CERU、CFAH、HPT和PLTP表达下调。总体而言,这些结果扩展了我们对这种翻译后修饰在ccRCC中的作用的认识,将这些信息转化为临床前研究可能会对肾癌新生物标志物和治疗靶点的发现产生重大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bfc/7016614/02a33a3ede16/cancers-12-00239-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bfc/7016614/e8d623b95f0c/cancers-12-00239-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bfc/7016614/9345f72b9fd6/cancers-12-00239-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bfc/7016614/51ee05094b3b/cancers-12-00239-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bfc/7016614/02a33a3ede16/cancers-12-00239-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bfc/7016614/e8d623b95f0c/cancers-12-00239-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bfc/7016614/9345f72b9fd6/cancers-12-00239-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bfc/7016614/51ee05094b3b/cancers-12-00239-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bfc/7016614/02a33a3ede16/cancers-12-00239-g004.jpg

相似文献

1
In-Depth Mapping of the Urinary -Glycoproteome: Distinct Signatures of ccRCC-related Progression.尿糖蛋白组的深度图谱:ccRCC相关进展的独特特征
Cancers (Basel). 2020 Jan 18;12(1):239. doi: 10.3390/cancers12010239.
2
[Large-scale enrichment and identification of human urinary -glycoproteins/-glycopeptides].[人尿中糖蛋白/糖肽的大规模富集与鉴定]
Se Pu. 2021 Jul 8;39(7):686-694. doi: 10.3724/SP.J.1123.2021.01039.
3
Identification and validation of novel prognostic markers in Renal Cell Carcinoma.肾细胞癌中新型预后标志物的鉴定与验证
Dan Med J. 2017 Oct;64(10).
4
Histology-guided proteomic analysis to investigate the molecular profiles of clear cell Renal Cell Carcinoma grades.组织学指导的蛋白质组学分析研究透明细胞肾细胞癌分级的分子特征。
J Proteomics. 2019 Jan 16;191:38-47. doi: 10.1016/j.jprot.2018.04.028. Epub 2018 Apr 23.
5
Glycosylation in Renal Cell Carcinoma: Mechanisms and Clinical Implications.肾细胞癌中的糖基化:机制与临床意义。
Cells. 2022 Aug 20;11(16):2598. doi: 10.3390/cells11162598.
6
Targeted O-glycoproteomics explored increased sialylation and identified MUC16 as a poor prognosis biomarker in advanced-stage bladder tumours.靶向O-糖蛋白质组学研究发现晚期膀胱肿瘤中唾液酸化增加,并确定MUC16为预后不良的生物标志物。
Mol Oncol. 2017 Aug;11(8):895-912. doi: 10.1002/1878-0261.12035. Epub 2017 Mar 2.
7
Plasma glycoproteomics delivers high-specificity disease biomarkers by detecting site-specific glycosylation abnormalities.血浆糖蛋白质组学通过检测特定部位糖基化的异常,提供高特异性的疾病生物标志物。
J Adv Res. 2024 Jul;61:179-192. doi: 10.1016/j.jare.2023.09.002. Epub 2023 Sep 6.
8
Searching for prognostic biomarkers for small renal masses in the urinary proteome.在尿蛋白质组中寻找小肾肿瘤的预后生物标志物。
Int J Cancer. 2020 Apr 15;146(8):2315-2325. doi: 10.1002/ijc.32650. Epub 2019 Nov 6.
9
Excavation of diagnostic biomarkers and construction of prognostic model for clear cell renal cell carcinoma based on urine proteomics.基于尿液蛋白质组学的肾透明细胞癌诊断生物标志物挖掘及预后模型构建
Front Oncol. 2023 May 16;13:1170567. doi: 10.3389/fonc.2023.1170567. eCollection 2023.
10
Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.基于基因集富集分析的 clear cell 肾细胞癌基因表达分析用于生物统计学管理。
BJU Int. 2011 Jul;108(2 Pt 2):E29-35. doi: 10.1111/j.1464-410X.2010.09794.x. Epub 2011 Mar 16.

引用本文的文献

1
Glycosylation in kidney diseases.肾脏疾病中的糖基化作用。
Precis Clin Med. 2025 Jul 11;8(3):pbaf017. doi: 10.1093/pcmedi/pbaf017. eCollection 2025 Sep.
2
Proteomics and succinylation modification characterization in clear cell renal cell carcinoma.透明细胞肾细胞癌中的蛋白质组学与琥珀酰化修饰特征分析
Discov Oncol. 2025 May 20;16(1):835. doi: 10.1007/s12672-025-02737-3.
3
Construction and experimental verification of a novel nine-glycosylation-related gene prognostic risk model for clear cell renal carcinoma.一种用于透明细胞肾细胞癌的新型九糖基化相关基因预后风险模型的构建与实验验证。

本文引用的文献

1
Regulation of regulators: Role of the complement factor H-related proteins.调控因子的调控:补体因子 H 相关蛋白的作用。
Semin Immunol. 2019 Oct;45:101341. doi: 10.1016/j.smim.2019.101341. Epub 2019 Nov 19.
2
PAX8 activates metabolic genes via enhancer elements in Renal Cell Carcinoma.PAX8 通过肾细胞癌中的增强子元件激活代谢基因。
Nat Commun. 2019 Aug 20;10(1):3739. doi: 10.1038/s41467-019-11672-1.
3
CD97 is a critical regulator of acute myeloid leukemia stem cell function.CD97 是急性髓系白血病干细胞功能的关键调节因子。
Heliyon. 2024 Oct 11;10(21):e39258. doi: 10.1016/j.heliyon.2024.e39258. eCollection 2024 Nov 15.
4
Analysis and Verification of Glycosylation Characteristics of Septic Acute Kidney Injury.脓毒症急性肾损伤糖基化特征的分析与验证
J Inflamm Res. 2023 Dec 5;16:5881-5897. doi: 10.2147/JIR.S437266. eCollection 2023.
5
Proteomics and Metabolomics in Biomedicine.生物医学中的蛋白质组学和代谢组学。
Int J Mol Sci. 2023 Nov 29;24(23):16913. doi: 10.3390/ijms242316913.
6
The Modifying Effect of Obesity on the Association of Matrix Metalloproteinase Gene Polymorphisms with Breast Cancer Risk.肥胖对基质金属蛋白酶基因多态性与乳腺癌风险关联的修饰作用。
Biomedicines. 2022 Oct 18;10(10):2617. doi: 10.3390/biomedicines10102617.
7
Mass spectrometry-based N-glycosylation analysis in kidney disease.基于质谱的肾脏疾病N-糖基化分析
Front Mol Biosci. 2022 Aug 17;9:976298. doi: 10.3389/fmolb.2022.976298. eCollection 2022.
8
Does the Urinary Proteome Reflect ccRCC Stage and Grade Progression?尿蛋白质组能反映肾透明细胞癌的分期和分级进展吗?
Diagnostics (Basel). 2021 Dec 16;11(12):2369. doi: 10.3390/diagnostics11122369.
9
The Serum Metabolome of Moderate and Severe COVID-19 Patients Reflects Possible Liver Alterations Involving Carbon and Nitrogen Metabolism.中重度新冠肺炎患者的血清代谢组反映出可能涉及碳代谢和氮代谢的肝脏改变。
Int J Mol Sci. 2021 Sep 2;22(17):9548. doi: 10.3390/ijms22179548.
10
Posttranslational Modifications Pattern in Clear Cell Renal Cell Carcinoma.透明细胞肾细胞癌中的翻译后修饰模式
Metabolites. 2020 Dec 27;11(1):10. doi: 10.3390/metabo11010010.
J Exp Med. 2019 Oct 7;216(10):2362-2377. doi: 10.1084/jem.20190598. Epub 2019 Aug 1.
4
Glycosylation in the Tumor Microenvironment: Implications for Tumor Angiogenesis and Metastasis.肿瘤微环境中的糖基化:对肿瘤血管生成和转移的影响。
Cells. 2019 Jun 5;8(6):544. doi: 10.3390/cells8060544.
5
Fibronectin Promotes Cell Growth and Migration in Human Renal Cell Carcinoma Cells.纤连蛋白促进人肾癌细胞的生长和迁移。
Int J Mol Sci. 2019 Jun 7;20(11):2792. doi: 10.3390/ijms20112792.
6
N-Glycosylation Defects in Humans Lower Low-Density Lipoprotein Cholesterol Through Increased Low-Density Lipoprotein Receptor Expression.N-糖基化缺陷通过增加 LDL 受体表达降低 LDL 胆固醇。
Circulation. 2019 Jul 23;140(4):280-292. doi: 10.1161/CIRCULATIONAHA.118.036484. Epub 2019 May 23.
7
Apolipoprotein A1 and B as risk factors for development of intraocular metastasis in patients with breast cancer.载脂蛋白A1和B作为乳腺癌患者发生眼内转移的危险因素。
Cancer Manag Res. 2019 Apr 9;11:2881-2888. doi: 10.2147/CMAR.S191352. eCollection 2019.
8
Systematic identification of key genes and pathways in clear cell renal cell carcinoma on bioinformatics analysis.基于生物信息学分析对透明细胞肾细胞癌关键基因和信号通路进行系统鉴定。
Ann Transl Med. 2019 Mar;7(5):89. doi: 10.21037/atm.2019.01.18.
9
Upregulation of Complement Factor H by SOCS-1/3⁻STAT4 in Lung Cancer.SOCS-1/3⁻STAT4在肺癌中上调补体因子H
Cancers (Basel). 2019 Apr 3;11(4):471. doi: 10.3390/cancers11040471.
10
Elevated apolipoprotein B predicts poor postsurgery prognosis in patients with hepatocellular carcinoma.载脂蛋白B升高预示肝细胞癌患者术后预后不良。
Onco Targets Ther. 2019 Mar 12;12:1957-1964. doi: 10.2147/OTT.S192631. eCollection 2019.