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Proteomic analysis reveals distinctive protein expression patterns of thrombus in clear cell renal cell carcinoma.

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机构: [a]Department of Urology, Peking University Third Hospital, Beijing 100191, China [b]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100083, China [c]Xuanwu Hospital, Capital Medical University, Beijing 100053, China [d]Department of Pathology, Peking University Third Hospital, School of Basic Medical, Science Peking University Health Science Center, Beijing 100191, China [e]Medical and Health Analytical Center, Peking University Health Science Center, Beijing 100191, China [*a]Center of Medical andHealth Analysis, Peking University Health Science Center, Beijing, China, Peking University Health Science Center, Beijing 100191, China
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关键词: ccRCC tumor thrombus proteomics bi oinformatics survival analysis

摘要:
Clear cell renal cell carcinoma (ccRCC) is a type of malignant tumor of the urinary system. The renal vein or vena cava thrombus can be found in a subset of ccRCC patients in whom it leads to worse prognosis. However, the protein expression profile and molecular features of ccRCC thrombus remain largely unclear. Here, a comparative proteomic analysis was performed using the 2D-LC-MS strategy for the thrombus-tumor-normal tissue triples of 15 ccRCC patients. Statistical analysis, GO enrichment analysis, protein-protein interaction network construction, and mRNA-based survival analysis were used to interpret the proteomic data. Three dysregulated proteins, GGT5 (gamma-glutamyl transferase 5), KRT7 (keratin 7) and CFHR1 (complement factor H related 1), were analyzed using western blot (WB) and immunohistochemistry (IHC) to validate the reliability of the proteomic analysis. The result of this analysis revealed 251 dysregulated proteins, which could be divided into 11 clusters depending on the changing trends, among the thrombus, tumor, and normal tissues. Several pathways and regulation networks were found to be associated with the thrombus, and some dysregulated proteins showed potential values for prognosis prediction. WB and IHC results were in accordance with the proteomic results, further validating the reliability of this study. In conclusion, our findings provide an overview of the thrombus at the molecular level as well as valuable information for further pathological studies or research on biomarkers and therapeutic targets. Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 3 区 肿瘤学
最新[2023]版:
大类 | 2 区 医学
小类 | 3 区 肿瘤学
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出版当年[2019]版:
Q2 ONCOLOGY
最新[2023]版:
Q1 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者机构: [a]Department of Urology, Peking University Third Hospital, Beijing 100191, China [b]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100083, China
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通讯机构: [*a]Center of Medical andHealth Analysis, Peking University Health Science Center, Beijing, China, Peking University Health Science Center, Beijing 100191, China
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