• 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

相似文献

1
An RNA-binding protein-related risk signature can predict the prognosis and tumor immunity of patients with testicular germ cell tumors.一种与RNA结合蛋白相关的风险特征可预测睾丸生殖细胞肿瘤患者的预后和肿瘤免疫。
Am J Transl Res. 2022 May 15;14(5):2825-2843. eCollection 2022.
2
RNA-Binding Proteins Play an Important Role in the Prognosis of Patients With Testicular Germ Cell Tumor.RNA结合蛋白在睾丸生殖细胞肿瘤患者的预后中起重要作用。
Front Genet. 2021 Mar 11;12:610291. doi: 10.3389/fgene.2021.610291. eCollection 2021.
3
m6A RNA methylation regulators play an important role in the prognosis of patients with testicular germ cell tumor.m6A RNA甲基化调节剂在睾丸生殖细胞肿瘤患者的预后中起重要作用。
Transl Androl Urol. 2021 Feb;10(2):662-679. doi: 10.21037/tau-20-963.
4
A novel risk signature with 6 RNA binding proteins for prognosis prediction in patients with glioblastoma.一种新型的 RNA 结合蛋白风险特征,可用于预测胶质母细胞瘤患者的预后。
Medicine (Baltimore). 2021 Dec 3;100(48):e28065. doi: 10.1097/MD.0000000000028065.
5
Prognostic Value and Immunological Characteristics of a Novel RNA Binding Protein Signature in Cutaneous Melanoma.一种新型RNA结合蛋白特征在皮肤黑色素瘤中的预后价值及免疫特征
Front Genet. 2021 Aug 31;12:723796. doi: 10.3389/fgene.2021.723796. eCollection 2021.
6
Identification and validation of an immune-associated RNA-binding proteins signature to predict clinical outcomes and therapeutic responses in colon cancer patients.鉴定和验证与免疫相关的 RNA 结合蛋白标志物,以预测结直肠癌患者的临床结局和治疗反应。
World J Surg Oncol. 2021 Oct 26;19(1):314. doi: 10.1186/s12957-021-02411-2.
7
Development and Validation of a Gene Signature for Prediction of Relapse in Stage I Testicular Germ Cell Tumors.用于预测I期睾丸生殖细胞肿瘤复发的基因特征的开发与验证
Front Oncol. 2020 Jul 30;10:1147. doi: 10.3389/fonc.2020.01147. eCollection 2020.
8
Identification and validation of RNA-binding protein-related gene signature revealed potential associations with immunosuppression and drug sensitivity in glioma.鉴定和验证 RNA 结合蛋白相关基因特征揭示了胶质母细胞瘤中与免疫抑制和药物敏感性的潜在关联。
Cancer Med. 2021 Oct;10(20):7418-7439. doi: 10.1002/cam4.4248. Epub 2021 Sep 5.
9
Identification and Validation of a Novel RNA-Binding Protein-Related Gene-Based Prognostic Model for Multiple Myeloma.一种基于新型RNA结合蛋白相关基因的多发性骨髓瘤预后模型的鉴定与验证
Front Genet. 2021 Apr 26;12:665173. doi: 10.3389/fgene.2021.665173. eCollection 2021.
10
Development and Validation of Nine-RNA Binding Protein Signature Predicting Overall Survival for Kidney Renal Clear Cell Carcinoma.预测肾透明细胞癌总生存期的九种RNA结合蛋白特征的开发与验证
Front Genet. 2020 Oct 2;11:568192. doi: 10.3389/fgene.2020.568192. eCollection 2020.

引用本文的文献

1
RNA-binding protein expression based machine learning model predicts metastasis and treatment outcome of testicular cancer.基于RNA结合蛋白表达的机器学习模型可预测睾丸癌的转移和治疗结果。
Genes Genomics. 2025 Mar 26. doi: 10.1007/s13258-025-01636-9.
2
An artificial neural network model to diagnose non-obstructive azoospermia based on RNA-binding protein-related genes.基于 RNA 结合蛋白相关基因的诊断非阻塞性无精子症的人工神经网络模型。
Aging (Albany NY). 2023 Apr 24;15(8):3120-3140. doi: 10.18632/aging.204674.

本文引用的文献

1
Comprehensive Analysis of the Functions and Prognostic Value of RNA-Binding Proteins in Thyroid Cancer.甲状腺癌中RNA结合蛋白的功能及预后价值综合分析
Front Oncol. 2021 Mar 17;11:625007. doi: 10.3389/fonc.2021.625007. eCollection 2021.
2
m6A RNA methylation regulators play an important role in the prognosis of patients with testicular germ cell tumor.m6A RNA甲基化调节剂在睾丸生殖细胞肿瘤患者的预后中起重要作用。
Transl Androl Urol. 2021 Feb;10(2):662-679. doi: 10.21037/tau-20-963.
3
Cisplatin Cytotoxicity in Human Testicular Germ Cell Tumor Cell Lines Is Enhanced by the CDK4/6 Inhibitor Palbociclib.帕博西尼(CDK4/6 抑制剂)增强顺铂对人睾丸生殖细胞肿瘤细胞系的细胞毒性。
Clin Genitourin Cancer. 2021 Aug;19(4):316-324. doi: 10.1016/j.clgc.2021.01.006. Epub 2021 Feb 8.
4
A Prognostic Nomogram Combining Immune-Related Gene Signature and Clinical Factors Predicts Survival in Patients With Lung Adenocarcinoma.一种结合免疫相关基因特征和临床因素的预后列线图可预测肺腺癌患者的生存情况。
Front Oncol. 2020 Aug 6;10:1300. doi: 10.3389/fonc.2020.01300. eCollection 2020.
5
Identification the prognostic value of glutathione peroxidases expression levels in acute myeloid leukemia.确定谷胱甘肽过氧化物酶表达水平在急性髓系白血病中的预后价值。 (原句中Identification使用错误,应该是Identify)
Ann Transl Med. 2020 Jun;8(11):678. doi: 10.21037/atm-20-3296.
6
HK3 is correlated with immune infiltrates and predicts response to immunotherapy in non-small cell lung cancer.HK3与免疫浸润相关,并可预测非小细胞肺癌对免疫治疗的反应。
Clin Transl Med. 2020 Jan;10(1):319-330. doi: 10.1002/ctm2.6.
7
Development and validation of a hypoxia-immune-based microenvironment gene signature for risk stratification in gastric cancer.基于缺氧免疫的胃癌微环境基因特征用于风险分层的开发与验证
J Transl Med. 2020 May 14;18(1):201. doi: 10.1186/s12967-020-02366-0.
8
Alterations in Immune-Related Genes as Potential Marker of Prognosis in Breast Cancer.免疫相关基因改变作为乳腺癌预后的潜在标志物
Front Oncol. 2020 Mar 12;10:333. doi: 10.3389/fonc.2020.00333. eCollection 2020.
9
Identification and Validation of Immune-Related Gene Prognostic Signature for Hepatocellular Carcinoma.肝细胞癌免疫相关基因预后signature 的鉴定和验证。
J Immunol Res. 2020 Mar 7;2020:5494858. doi: 10.1155/2020/5494858. eCollection 2020.
10
The RNA-binding protein RBM3 promotes cell proliferation in hepatocellular carcinoma by regulating circular RNA SCD-circRNA 2 production.RNA 结合蛋白 RBM3 通过调节环状 RNA SCD-circRNA 2 的产生促进肝癌细胞增殖。
EBioMedicine. 2019 Jul;45:155-167. doi: 10.1016/j.ebiom.2019.06.030. Epub 2019 Jun 22.

一种与RNA结合蛋白相关的风险特征可预测睾丸生殖细胞肿瘤患者的预后和肿瘤免疫。

An RNA-binding protein-related risk signature can predict the prognosis and tumor immunity of patients with testicular germ cell tumors.

作者信息

Fu Yang, Sun Shanshan, Bi Jianbin, Kong Chuize, Shi Du

机构信息

Department of Urology, The First Hospital of China Medical University Shenyang 110001, Liaoning, China.

Department of Pharmacy, People's Hospital Affiliated of China Medical University Shenyang 110015, Liaoning, China.

出版信息

Am J Transl Res. 2022 May 15;14(5):2825-2843. eCollection 2022.

PMID:35702133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9185064/
Abstract

BACKGROUND

The functions of RNA-binding proteins (RBPs) in the occurrence and development of tumors remain largely unexplored. We established a risk signature based on RBPs to predict the prognosis, tumor-related immunity, and treatment benefits of patients with testicular germ cell tumors (TGCTs).

METHODS

A risk signature was built based on RBPs closely related to survival obtained from TGCT data in The Cancer Genome Atlas (TCGA) database. The ability of the signature to predict prognosis was analyzed by survival curves and Cox regression. The risk signature was validated using the Gene Expression Omnibus (GEO) database. The connection between tumor immunity and the risk score was evaluated. Risk score-related drug sensitivity and biofunctions were also explored.

RESULTS

A risk signature including four selected RBP genes (PARP12, USB1, POLR2E and EED) was established. The prognosis of high-risk TGCT patients was worse than that of low-risk TGCT patients. The risk score was considered a critical factor closely related to prognosis, as determined via Cox regression, and was also closely associated with multiple characteristics of tumor immunity, chemotherapy drugs and biofunctions.

CONCLUSION

The established risk signature including four selected RBPs in TGCTs could predict the prognosis, tumor-related immunity and treatment benefits of patients with TGCTs. Utilization of this signature could help clinicians make personalized treatment decisions.

摘要

背景

RNA结合蛋白(RBPs)在肿瘤发生发展中的作用在很大程度上仍未得到充分探索。我们基于RBPs建立了一个风险特征模型,以预测睾丸生殖细胞肿瘤(TGCTs)患者的预后、肿瘤相关免疫及治疗获益情况。

方法

基于从癌症基因组图谱(TCGA)数据库的TGCT数据中获得的与生存密切相关的RBPs构建风险特征模型。通过生存曲线和Cox回归分析该特征模型预测预后的能力。使用基因表达综合数据库(GEO)对风险特征模型进行验证。评估肿瘤免疫与风险评分之间的关联。还探索了与风险评分相关的药物敏感性和生物学功能。

结果

建立了一个包含四个选定RBP基因(PARP12、USB1、POLR2E和EED)的风险特征模型。高危TGCT患者的预后比低危TGCT患者差。经Cox回归确定,风险评分被认为是与预后密切相关的关键因素,并且还与肿瘤免疫、化疗药物和生物学功能的多个特征密切相关。

结论

在TGCTs中建立的包含四个选定RBPs的风险特征模型可以预测TGCT患者的预后、肿瘤相关免疫及治疗获益情况。利用该特征模型有助于临床医生做出个性化治疗决策。