• 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

基于疾病图谱的膀胱癌诊断生物标志物选择与预验证

Disease map-based biomarker selection and pre-validation for bladder cancer diagnostic.

作者信息

De Paoli Marine, Perco Paul, Mühlberger Irmgard, Lukas Arno, Pandha Hardev, Morgan Richard, Feng Gui Jie, Marquette Christophe

机构信息

a AXO Science SAS , Lyon , France .

出版信息

Biomarkers. 2015;20(5):328-37. doi: 10.3109/1354750X.2015.1068867. Epub 2015 Jul 31.

DOI:10.3109/1354750X.2015.1068867
PMID:26329530
Abstract

CONTEXT

Urinary biomarkers are promising as simple alternatives to cystoscopy for the diagnosis of de novo and recurrent bladder cancer.

OBJECTIVE

To identify a highly sensitive and specific biomarker candidate set with potential clinical utility in bladder cancer.

MATERIALS AND METHODS

Urinary biomarker concentrations were determined by ELISA. The performance of individual markers and marker combinations was assessed using ROC analysis.

RESULTS

A five-biomarker panel (IL8, MMP9, VEGFA, PTGS2 and EN2) was defined from the candidate set.

DISCUSSION AND CONCLUSION

This panel showed a better overall performance than the best individual marker. Further validation studies are needed to evaluate its clinical utility in bladder cancer.

摘要

背景

尿液生物标志物有望成为膀胱镜检查的简单替代方法,用于诊断原发性和复发性膀胱癌。

目的

确定一组在膀胱癌中具有潜在临床应用价值的高敏感性和特异性生物标志物候选物。

材料与方法

通过酶联免疫吸附测定法(ELISA)测定尿液生物标志物浓度。使用ROC分析评估单个标志物和标志物组合的性能。

结果

从候选物中确定了一个由五种生物标志物组成的组合(IL8、MMP9、VEGFA、PTGS2和EN2)。

讨论与结论

该组合的整体性能优于最佳单个标志物。需要进一步的验证研究来评估其在膀胱癌中的临床应用价值。

相似文献

1
Disease map-based biomarker selection and pre-validation for bladder cancer diagnostic.基于疾病图谱的膀胱癌诊断生物标志物选择与预验证
Biomarkers. 2015;20(5):328-37. doi: 10.3109/1354750X.2015.1068867. Epub 2015 Jul 31.
2
Validation of a protein panel for the noninvasive detection of recurrent non-muscle invasive bladder cancer.用于复发性非肌肉浸润性膀胱癌无创检测的蛋白质组验证
Biomarkers. 2017 Nov;22(7):674-681. doi: 10.1080/1354750X.2016.1276628. Epub 2017 Jan 19.
3
Analytical and clinical evaluation of a new urinary tumor marker: bladder tumor fibronectin in diagnosis and follow-up of bladder cancer.一种新型尿液肿瘤标志物的分析与临床评估:膀胱肿瘤纤连蛋白在膀胱癌诊断及随访中的应用
Clin Chem Lab Med. 2003 Aug;41(8):1069-74. doi: 10.1515/CCLM.2003.165.
4
Development and Validation of Urine-based Peptide Biomarker Panels for Detecting Bladder Cancer in a Multi-center Study.基于尿液的肽生物标志物panel 的开发和验证,用于在多中心研究中检测膀胱癌。
Clin Cancer Res. 2016 Aug 15;22(16):4077-86. doi: 10.1158/1078-0432.CCR-15-2715. Epub 2016 Mar 29.
5
Current Status of Urinary Biomarkers for Detection and Surveillance of Bladder Cancer.用于膀胱癌检测和监测的尿液生物标志物的现状
Urol Clin North Am. 2016 Feb;43(1):47-62. doi: 10.1016/j.ucl.2015.08.005.
6
External validation of a multiplex urinary protein panel for the detection of bladder cancer in a multicenter cohort.用于在多中心队列中检测膀胱癌的多重尿液蛋白检测板的外部验证
Cancer Epidemiol Biomarkers Prev. 2014 Sep;23(9):1804-12. doi: 10.1158/1055-9965.EPI-14-0029. Epub 2014 Jun 11.
7
A multiplex urinary immunoassay for bladder cancer detection: analysis of a Japanese cohort.一种用于膀胱癌检测的多重尿液免疫测定法:日本队列分析。
J Transl Med. 2016 Oct 7;14(1):287. doi: 10.1186/s12967-016-1043-1.
8
Evaluation of urinary miRNA-96 as a potential biomarker for bladder cancer diagnosis.评估尿miRNA-96作为膀胱癌诊断潜在生物标志物的价值。
Med Oncol. 2015 Jan;32(1):413. doi: 10.1007/s12032-014-0413-x. Epub 2014 Dec 16.
9
Urinary mRNA biomarker panel for the detection of urothelial carcinoma.用于检测尿路上皮癌的尿液mRNA生物标志物组合
Oncotarget. 2016 Jun 21;7(25):38731-38740. doi: 10.18632/oncotarget.9587.
10
A multiplex immunoassay for the non-invasive detection of bladder cancer.一种用于膀胱癌非侵入性检测的多重免疫测定法。
J Transl Med. 2016 Jan 30;14:31. doi: 10.1186/s12967-016-0783-2.

引用本文的文献

1
An Integrated Bioinformatics Analysis towards the Identification of Diagnostic, Prognostic, and Predictive Key Biomarkers for Urinary Bladder Cancer.用于鉴定膀胱癌诊断、预后和预测关键生物标志物的综合生物信息学分析
Cancers (Basel). 2022 Jul 10;14(14):3358. doi: 10.3390/cancers14143358.
2
LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients.基于 LC-HRMS 的方法鉴定乳腺癌患者新型神经酰胺生物标志物。
Sci Rep. 2020 Mar 13;10(1):4668. doi: 10.1038/s41598-020-61283-w.
3
Screening for Preterm Birth: Potential for a Metabolomics Biomarker Panel.
早产筛查:代谢组学生物标志物组合的潜力。
Metabolites. 2019 May 7;9(5):90. doi: 10.3390/metabo9050090.
4
Cumulative receiver operating characteristics for analyzing interaction between tissue visfatin and clinicopathologic factors in breast cancer progression.用于分析组织内脂素与乳腺癌进展中临床病理因素之间相互作用的累积受试者工作特征曲线
Cancer Cell Int. 2018 Feb 9;18:19. doi: 10.1186/s12935-018-0517-z. eCollection 2018.
5
Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses.MRE11与乳腺癌复发中临床病理特征的相互作用:个体及累积受试者工作特征分析
Biomed Res Int. 2017;2017:2563910. doi: 10.1155/2017/2563910. Epub 2017 Jan 4.
6
Multiplatform Biomarker Discovery for Bladder Cancer Recurrence Diagnosis.用于膀胱癌复发诊断的多平台生物标志物发现
Dis Markers. 2016;2016:4591910. doi: 10.1155/2016/4591910. Epub 2016 Aug 31.