• 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

识别 ccRCC 亚型中预后不良的关键基因。

Identification of key genes of the ccRCC subtype with poor prognosis.

机构信息

Laboratory of Intracellular Signaling in Health and Disease, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova Str., 32, Moscow, Russia, 119991.

Laboratory of Bioinformatics, Faculty of Computer Science, National Research University Higher School of Economics, Moscow, Russia.

出版信息

Sci Rep. 2022 Aug 26;12(1):14588. doi: 10.1038/s41598-022-18620-y.

DOI:10.1038/s41598-022-18620-y
PMID:36028558
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9418309/
Abstract

Clear cell renal carcinoma has been reported in many research studies as a rather heterogeneous disease. Identification of different subtypes and their molecular characteristics can help in choosing a more effective treatment and predicting a response to it. In this study, using multi-omics clustering of RNA-Seq data of patients with clear cell renal carcinoma from TCGA. Specific genes were identified for the most aggressive ccRCC subtype associated with metastasis and a subtype associated with a more favorable course of the disease. Among them were genes associated with blood clotting (FGA, FGG) and genes associated with changes in the immune characteristics of a tumor (ENAM, IGFBP1, IL6). In addition, an association of hub genes of poor survival ccRCC subtype with the levels of infiltration of endothelial cells, hematopoietic stem cells, T cells NK and mast cells was revealed. It was shown that MFI2, CP, FGA, and FGG expression can predict the response to sunitinib, while the APOB, ENAM, IGFBP1, and MFI2 expression predict the response to nivolumab. The results obtained provide insight into the genetic characteristics underlying the aggressive subtype of ccRCC and may help develop new approaches to the treatment of this disease.

摘要

透明细胞肾细胞癌在许多研究中被报道为一种相当异质性的疾病。鉴定不同的亚型及其分子特征有助于选择更有效的治疗方法,并预测其反应。在这项研究中,我们使用 TCGA 透明细胞肾细胞癌患者的 RNA-Seq 数据进行了多组学聚类。鉴定出与转移相关的侵袭性最强的 ccRCC 亚型和与疾病更有利病程相关的亚型的特定基因。其中包括与凝血(FGA、FGG)相关的基因和与肿瘤免疫特征变化相关的基因(ENAM、IGFBP1、IL6)。此外,还揭示了不良预后 ccRCC 亚型的枢纽基因与内皮细胞、造血干细胞、T 细胞 NK 和肥大细胞浸润水平之间的关联。结果表明,MFI2、CP、FGA 和 FGG 的表达可以预测舒尼替尼的反应,而 APOB、ENAM、IGFBP1 和 MFI2 的表达可以预测 nivolumab 的反应。所得结果深入了解了 ccRCC 侵袭性亚型的遗传特征,并可能有助于开发治疗这种疾病的新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/2b43b6849416/41598_2022_18620_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/8f8d6c485627/41598_2022_18620_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/46ecc3509b83/41598_2022_18620_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/323dce781364/41598_2022_18620_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/0e285008957f/41598_2022_18620_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/1ef47e95ccb8/41598_2022_18620_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/2b43b6849416/41598_2022_18620_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/8f8d6c485627/41598_2022_18620_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/46ecc3509b83/41598_2022_18620_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/323dce781364/41598_2022_18620_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/0e285008957f/41598_2022_18620_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/1ef47e95ccb8/41598_2022_18620_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/924e/9418309/2b43b6849416/41598_2022_18620_Fig6_HTML.jpg

相似文献

1
Identification of key genes of the ccRCC subtype with poor prognosis.识别 ccRCC 亚型中预后不良的关键基因。
Sci Rep. 2022 Aug 26;12(1):14588. doi: 10.1038/s41598-022-18620-y.
2
Fifteen hub genes associated with progression and prognosis of clear cell renal cell carcinoma identified by coexpression analysis.通过共表达分析鉴定出与透明细胞肾细胞癌进展和预后相关的 15 个枢纽基因。
J Cell Physiol. 2019 Jul;234(7):10225-10237. doi: 10.1002/jcp.27692. Epub 2018 Nov 11.
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
Key sunitinib-related biomarkers for renal cell carcinoma.与舒尼替尼相关的肾细胞癌的生物标志物。
Cancer Med. 2021 Oct;10(19):6917-6930. doi: 10.1002/cam4.4206. Epub 2021 Aug 17.
5
Integrated multi-omics analyses reveal that BCAM is associated with epigenetic modification and tumor microenvironment subtypes of clear cell renal cell carcinoma.整合多组学分析表明,BCAM 与透明细胞肾细胞癌的表观遗传修饰和肿瘤微环境亚型有关。
Clin Epigenetics. 2022 Aug 8;14(1):99. doi: 10.1186/s13148-022-01319-2.
6
A Novel Immune-Related lncRNA-Based Model for Survival Prediction in Clear Cell Renal Cell Carcinoma.一种基于新型免疫相关长链非编码RNA的透明细胞肾细胞癌生存预测模型。
J Immunol Res. 2021 Jun 28;2021:9921466. doi: 10.1155/2021/9921466. eCollection 2021.
7
Co-expression Network Analysis Identifies Fourteen Hub Genes Associated with Prognosis in Clear Cell Renal Cell Carcinoma.共表达网络分析鉴定出与透明细胞肾细胞癌预后相关的 14 个枢纽基因。
Curr Med Sci. 2020 Aug;40(4):773-785. doi: 10.1007/s11596-020-2245-6. Epub 2020 Aug 29.
8
Comprehensive analysis of cellular senescence-related genes in the prognosis, tumor microenvironment, and immunotherapy/chemotherapy of clear cell renal cell carcinoma.全面分析细胞衰老相关基因在透明细胞肾细胞癌中的预后、肿瘤微环境和免疫治疗/化疗中的作用。
Front Immunol. 2022 Sep 16;13:934243. doi: 10.3389/fimmu.2022.934243. eCollection 2022.
9
FCER1G positively relates to macrophage infiltration in clear cell renal cell carcinoma and contributes to unfavorable prognosis by regulating tumor immunity.FCER1G 与透明细胞肾细胞癌中的巨噬细胞浸润呈正相关,并通过调节肿瘤免疫来影响不良预后。
BMC Cancer. 2022 Feb 4;22(1):140. doi: 10.1186/s12885-022-09251-7.
10
Integrated analysis of immune-related gene subtype and immune index for immunotherapy in clear cell renal cell carcinoma.透明细胞肾细胞癌免疫治疗的免疫相关基因亚型与免疫指标综合分析
Pathol Res Pract. 2021 Sep;225:153557. doi: 10.1016/j.prp.2021.153557. Epub 2021 Jul 20.

引用本文的文献

1
Identification of Hub Genes Correlated with the Initiation and Progression of CKD in the Unilateral Ureteral Obstruction Model.单侧输尿管梗阻模型中与慢性肾脏病发生发展相关的枢纽基因的鉴定
Biomedicines. 2025 May 27;13(6):1316. doi: 10.3390/biomedicines13061316.
2
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma.基于转录组的与调节性T细胞浸润相关的网络分析确定RCN1为透明细胞肾细胞癌预后的潜在生物标志物。
BioData Min. 2024 Nov 14;17(1):51. doi: 10.1186/s13040-024-00404-x.
3
Screening of differential gene expression patterns through survival analysis for diagnosis, prognosis and therapies of clear cell renal cell carcinoma.

本文引用的文献

1
MMP9 and IGFBP1 Regulate Tumor Immune and Drive Tumor Progression in Clear Cell Renal Cell Carcinoma.基质金属蛋白酶9和胰岛素样生长因子结合蛋白1调节透明细胞肾细胞癌的肿瘤免疫并驱动肿瘤进展。
J Cancer. 2021 Feb 22;12(8):2243-2257. doi: 10.7150/jca.48664. eCollection 2021.
2
ENAM gene associated with T classification and inhibits proliferation in renal clear cell carcinoma.ENAM 基因与 T 分类相关,可抑制肾透明细胞癌的增殖。
Aging (Albany NY). 2021 Feb 3;13(5):7035-7051. doi: 10.18632/aging.202558.
3
Patient Stratification of Clear Cell Renal Cell Carcinoma Using the Global Transcription Factor Activity Landscape Derived From RNA-Seq Data.
通过生存分析筛选差异基因表达模式,用于透明细胞肾细胞癌的诊断、预后和治疗。
PLoS One. 2024 Sep 30;19(9):e0310843. doi: 10.1371/journal.pone.0310843. eCollection 2024.
4
Assessment of the progression of kidney renal clear cell carcinoma using transcriptional profiles revealed new cancer subtypes with variable prognosis.利用转录谱评估肾透明细胞癌的进展揭示了具有不同预后的新癌症亚型。
Front Genet. 2023 Nov 24;14:1291043. doi: 10.3389/fgene.2023.1291043. eCollection 2023.
5
Gene set enrichment analysis identifies immune subtypes of kidney renal clear cell carcinoma with significantly different molecular and clinical properties.基因集富集分析鉴定出具有显著不同分子和临床特征的肾透明细胞肾细胞癌免疫亚型。
Front Immunol. 2023 Jun 23;14:1191365. doi: 10.3389/fimmu.2023.1191365. eCollection 2023.
利用源自RNA测序数据的全局转录因子活性图谱对透明细胞肾细胞癌进行患者分层
Front Oncol. 2020 Dec 4;10:526577. doi: 10.3389/fonc.2020.526577. eCollection 2020.
4
Combination of Hematology Indicators and Oncological Characteristics as a New Promising Prognostic Factor in Localized Clear Cell Renal Cell Carcinoma.血液学指标与肿瘤学特征相结合作为局限性透明细胞肾细胞癌一种新的有前景的预后因素
Cancer Manag Res. 2020 Oct 12;12:10023-10033. doi: 10.2147/CMAR.S264400. eCollection 2020.
5
Author Correction: Fibrinogen - A Practical and Cost Efficient Biomarker for Detecting Periprosthetic Joint Infection.作者更正:纤维蛋白原——一种用于检测人工关节周围感染的实用且经济高效的生物标志物。
Sci Rep. 2020 Aug 11;10(1):13795. doi: 10.1038/s41598-020-70336-z.
6
Visualizing and interpreting cancer genomics data via the Xena platform.通过Xena平台可视化和解读癌症基因组学数据。
Nat Biotechnol. 2020 Jun;38(6):675-678. doi: 10.1038/s41587-020-0546-8.
7
TIMER2.0 for analysis of tumor-infiltrating immune cells.TIMER2.0 用于分析肿瘤浸润免疫细胞。
Nucleic Acids Res. 2020 Jul 2;48(W1):W509-W514. doi: 10.1093/nar/gkaa407.
8
Rac Signaling Drives Clear Cell Renal Carcinoma Tumor Growth by Priming the Tumor Microenvironment for an Angiogenic Switch.Rac 信号通过为血管生成开关启动肿瘤微环境来驱动透明细胞肾细胞癌肿瘤生长。
Mol Cancer Ther. 2020 Jul;19(7):1462-1473. doi: 10.1158/1535-7163.MCT-19-0762. Epub 2020 May 5.
9
SETD2 mutation in renal clear cell carcinoma suppress autophagy via regulation of ATG12.SETD2 突变通过调控 ATG12 抑制肾透明细胞癌自噬
Cell Death Dis. 2020 Jan 27;11(1):69. doi: 10.1038/s41419-020-2266-x.
10
PROMO: an interactive tool for analyzing clinically-labeled multi-omic cancer datasets.宣传册:一种用于分析临床标记的多组学癌症数据集的交互式工具。
BMC Bioinformatics. 2019 Dec 26;20(1):732. doi: 10.1186/s12859-019-3142-5.