• 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

膜性肾病和肾透明细胞癌中的共享枢纽基因:探究分子重叠与肿瘤进展

Shared hub genes in membranous nephropathy and kidney renal clear cell carcinoma: investigating molecular overlap and tumor progression.

作者信息

Hui Peng, Shuwen Zhang

机构信息

Department of Nephrology and Rheumatology, Zhejiang Xin'an International Hospital, Zhejiang, 314000, China.

出版信息

Discov Oncol. 2025 Jun 9;16(1):1035. doi: 10.1007/s12672-025-02701-1.

DOI:10.1007/s12672-025-02701-1
PMID:40489038
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12149382/
Abstract

BACKGROUND

Membranous nephropathy (MN) and kidney renal clear cell carcinoma (KIRC) are distinct kidney diseases with potential shared molecular mechanisms. Identifying common biomarkers may improve our understanding of disease pathogenesis and provide novel diagnostic and therapeutic targets.

METHODS

The study primarily employed bioinformatics tools to analyze publicly available datasets to identify differentially expressed genes (DEGs) and hub genes in KIRC and MN. Functional interactions of the common DEGs were explored using protein-protein interaction (PPI) networks, and hub genes were further investigated through gene expression databases such as GSCA and UALCAN. Gene Set Enrichment Analysis (GSEA) was used to assess functional enrichment and tumor-driving potential. These bioinformatic results were then experimentally validated by knocking down FYN and LGALS8 in 786-O cells using siRNA, followed by RT-qPCR, protein analysis, and functional assays.

RESULTS

The study identified four hub genes (FYN, LGALS8, MAGI2, and WT1) in KIRC and MN, with FYN and LGALS8 upregulated and MAGI2 and WT1 downregulated. Bioinformatics validation showed excellent diagnostic performance and confirmed methylation and mutation patterns. Higher FYN and LGALS8 expression were linked to poorer survival. miRNA downregulation was validated in KIRC cell lines. Functional analysis revealed that FYN and LGALS8 promote KIRC progression through the ErbB signaling pathway, and knockdown experiments reduced cell proliferation, migration, and colony formation.

CONCLUSION

Our findings identify FYN, LGALS8, MAGI2, and WT1 as hub genes in KIRC, with potential diagnostic and prognostic value. These genes play significant roles in methylation, mutation, and immune regulation in KIRC. However, the results from the limited MN samples suggest possible roles of these genes in MN pathology, but further studies are required to fully assess the relevance of these findings to MN.

摘要

背景

膜性肾病(MN)和肾透明细胞癌(KIRC)是不同的肾脏疾病,但可能存在共同的分子机制。识别共同的生物标志物可能会增进我们对疾病发病机制的理解,并提供新的诊断和治疗靶点。

方法

本研究主要利用生物信息学工具分析公开可用的数据集,以识别KIRC和MN中的差异表达基因(DEG)和枢纽基因。使用蛋白质-蛋白质相互作用(PPI)网络探索共同DEG的功能相互作用,并通过GSCA和UALCAN等基因表达数据库进一步研究枢纽基因。基因集富集分析(GSEA)用于评估功能富集和肿瘤驱动潜力。然后,通过使用siRNA敲低786-O细胞中的FYN和LGALS8,随后进行RT-qPCR、蛋白质分析和功能测定,对这些生物信息学结果进行实验验证。

结果

该研究在KIRC和MN中识别出四个枢纽基因(FYN、LGALS8、MAGI2和WT1),其中FYN和LGALS8上调,MAGI2和WT1下调。生物信息学验证显示出优异的诊断性能,并证实了甲基化和突变模式。较高的FYN和LGALS8表达与较差的生存率相关。在KIRC细胞系中验证了miRNA下调。功能分析表明,FYN和LGALS8通过ErbB信号通路促进KIRC进展,敲低实验减少了细胞增殖、迁移和集落形成。

结论

我们的研究结果确定FYN、LGALS8.MAGI2和WT1为KIRC中的枢纽基因,具有潜在的诊断和预后价值。这些基因在KIRC的甲基化、突变和免疫调节中发挥重要作用。然而,有限的MN样本结果表明这些基因在MN病理学中可能发挥作用,但需要进一步研究以充分评估这些发现与MN的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/cc1a597887d4/12672_2025_2701_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/fe530ef08590/12672_2025_2701_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/d128651aff83/12672_2025_2701_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/47152d92fb34/12672_2025_2701_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/cecff7890116/12672_2025_2701_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/93ccf457b4df/12672_2025_2701_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/d848a9e82a0e/12672_2025_2701_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/9878dfccd660/12672_2025_2701_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/03d347374172/12672_2025_2701_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/cc1a597887d4/12672_2025_2701_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/fe530ef08590/12672_2025_2701_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/d128651aff83/12672_2025_2701_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/47152d92fb34/12672_2025_2701_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/cecff7890116/12672_2025_2701_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/93ccf457b4df/12672_2025_2701_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/d848a9e82a0e/12672_2025_2701_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/9878dfccd660/12672_2025_2701_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/03d347374172/12672_2025_2701_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7b9/12149382/cc1a597887d4/12672_2025_2701_Fig9_HTML.jpg

相似文献

1
Shared hub genes in membranous nephropathy and kidney renal clear cell carcinoma: investigating molecular overlap and tumor progression.膜性肾病和肾透明细胞癌中的共享枢纽基因:探究分子重叠与肿瘤进展
Discov Oncol. 2025 Jun 9;16(1):1035. doi: 10.1007/s12672-025-02701-1.
2
The discovery of promising candidate biomarkers in kidney renal clear cell carcinoma: evidence from the in-depth analysis of high-throughput data.肾透明细胞癌中有前景的候选生物标志物的发现:来自高通量数据深度分析的证据
Am J Cancer Res. 2023 Sep 15;13(9):4288-4304. eCollection 2023.
3
The promising novel biomarkers and candidate small molecule drugs in kidney renal clear cell carcinoma: Evidence from bioinformatics analysis of high-throughput data.肾透明细胞癌中有前景的新型生物标志物和候选小分子药物:来自高通量数据生物信息学分析的证据
Mol Genet Genomic Med. 2019 May;7(5):e607. doi: 10.1002/mgg3.607. Epub 2019 Feb 21.
4
Deciphering key genes involved in cisplatin resistance in kidney renal clear cell carcinoma through a combined and approach.通过联合 和 方法解析肾透明细胞癌顺铂耐药相关的关键基因。
Oncol Res. 2023 Sep 15;31(6):899-916. doi: 10.32604/or.2023.030760. eCollection 2023.
5
In vitro analysis of PI3K pathway activation genes for exploring novel biomarkers and therapeutic targets in clear cell renal carcinoma.用于探索透明细胞肾细胞癌新生物标志物和治疗靶点的PI3K通路激活基因的体外分析
Am J Transl Res. 2023 Jul 15;15(7):4851-4872. eCollection 2023.
6
Identifying and validating MMP family members (MMP2, MMP9, MMP12, and MMP16) as therapeutic targets and biomarkers in kidney renal clear cell carcinoma (KIRC).鉴定和验证 MMP 家族成员(MMP2、MMP9、MMP12 和 MMP16)作为肾透明细胞癌(KIRC)的治疗靶点和生物标志物。
Oncol Res. 2024 Mar 20;32(4):737-752. doi: 10.32604/or.2023.042925. eCollection 2024.
7
Low expression of SLC34A1 is associated with poor prognosis in clear cell renal cell carcinoma.SLC34A1 的低表达与透明细胞肾细胞癌的不良预后相关。
BMC Urol. 2023 Mar 28;23(1):45. doi: 10.1186/s12894-023-01212-x.
8
FMR1 is identified as an immune-related novel prognostic biomarker for renal clear cell carcinoma: A bioinformatics analysis of TAZ/YAP.FMR1 被鉴定为肾透明细胞癌的一种免疫相关新型预后生物标志物:TAZ/YAP 的生物信息学分析。
Math Biosci Eng. 2022 Jun 24;19(9):9295-9320. doi: 10.3934/mbe.2022432.
9
Identification of hub genes, non-coding RNAs and pathways in Renal cell carcinoma (RCC): A comprehensive in silico study.肾细胞癌(RCC)中枢纽基因、非编码RNA和信号通路的鉴定:一项全面的计算机模拟研究
Biochem Biophys Rep. 2025 Feb 1;41:101942. doi: 10.1016/j.bbrep.2025.101942. eCollection 2025 Mar.
10
Integrative bioinformatics analysis of high-throughput sequencing and in vitro functional analysis leads to uncovering key hub genes in esophageal squamous cell carcinoma.高通量测序的整合生物信息学分析与体外功能分析有助于揭示食管鳞状细胞癌中的关键枢纽基因。
Hereditas. 2025 Mar 14;162(1):38. doi: 10.1186/s41065-025-00398-4.

本文引用的文献

1
Comprehensive pan-cancer analysis reveals NTN1 as an immune infiltrate risk factor and its potential prognostic value in SKCM.全面的泛癌分析揭示NTN1作为一种免疫浸润风险因素及其在皮肤黑色素瘤中的潜在预后价值。
Sci Rep. 2025 Jan 25;15(1):3223. doi: 10.1038/s41598-025-85444-x.
2
Detailed Pathophysiology of Minimal Change Disease: Insights into Podocyte Dysfunction, Immune Dysregulation, and Genetic Susceptibility.微小病变性肾病的详细病理生理学:足细胞功能障碍、免疫失调和遗传易感性的见解。
Int J Mol Sci. 2024 Nov 13;25(22):12174. doi: 10.3390/ijms252212174.
3
Signaling pathways involved in colorectal cancer: pathogenesis and targeted therapy.
涉及结直肠癌的信号通路:发病机制和靶向治疗。
Signal Transduct Target Ther. 2024 Oct 7;9(1):266. doi: 10.1038/s41392-024-01953-7.
4
The fate of immune complexes in membranous nephropathy.膜性肾病中免疫复合物的命运。
Front Immunol. 2024 Aug 8;15:1441017. doi: 10.3389/fimmu.2024.1441017. eCollection 2024.
5
Single-cell transcriptomics identifies aberrant glomerular angiogenic signalling in the early stages of WT1 kidney disease.单细胞转录组学鉴定出 WT1 肾病早期肾小球血管生成信号异常。
J Pathol. 2024 Oct;264(2):212-227. doi: 10.1002/path.6339. Epub 2024 Aug 23.
6
The Contribution of Genetic and Epigenetic Factors: An Emerging Concept in the Assessment and Prognosis of Inflammatory Bowel Diseases.遗传和表观遗传因素的贡献:炎症性肠病评估和预后的新兴概念。
Int J Mol Sci. 2024 Aug 1;25(15):8420. doi: 10.3390/ijms25158420.
7
STAC3 as a poor prognostic biomarker in renal clear cell carcinoma: relationship with immune infiltration.STAC3作为肾透明细胞癌预后不良的生物标志物:与免疫浸润的关系
Am J Cancer Res. 2024 Jul 15;14(7):3294-3316. doi: 10.62347/EAQW3113. eCollection 2024.
8
Membranous Nephropathy: Updates on Management.膜性肾病:治疗进展。
Adv Kidney Dis Health. 2024 Jul;31(4):299-308. doi: 10.1053/j.akdh.2024.04.004.
9
Clear Cell Renal Cell Carcinoma: A Comprehensive Review of its Histopathology, Genetics, and Differential Diagnosis.透明细胞肾细胞癌:组织病理学、遗传学及鉴别诊断的全面综述
Int J Surg Pathol. 2025 Apr;33(2):265-280. doi: 10.1177/10668969241256111. Epub 2024 Jul 25.
10
Identification of hub genes associated with pyroptosis in diabetic nephropathy patients using integrated bioinformatic analysis.运用综合生物信息学分析鉴定糖尿病肾病患者中与细胞焦亡相关的枢纽基因
Int Urol Nephrol. 2025 Jan;57(1):205-214. doi: 10.1007/s11255-024-04158-7. Epub 2024 Jul 19.