• 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

基于高通量质谱的尿液代谢组学检测方法用于检测结肠腺瘤性息肉的开发与验证

Development and Validation of a High-Throughput Mass Spectrometry Based Urine Metabolomic Test for the Detection of Colonic Adenomatous Polyps.

作者信息

Deng Lu, Chang David, Foshaug Rae R, Eisner Roman, Tso Victor K, Wishart David S, Fedorak Richard N

机构信息

Metabolomic Technologies Inc., Edmonton, AB T6N 1G1, Canada.

Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.

出版信息

Metabolites. 2017 Jun 22;7(3):32. doi: 10.3390/metabo7030032.

DOI:10.3390/metabo7030032
PMID:28640228
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5618317/
Abstract

Colorectal cancer is one of the leading causes of cancer deaths worldwide. The detection and removal of the precursors to colorectal cancer, adenomatous polyps, is the key for screening. The aim of this study was to develop a clinically scalable (high throughput, low cost, and high sensitivity) mass spectrometry (MS)-based urine metabolomic test for the detection of adenomatous polyps. : Prospective urine and stool samples were collected from 685 participants enrolled in a colorectal cancer screening program to undergo colonoscopy examination. Statistical analysis was performed on 69 urine metabolites measured by one-dimensional nuclear magnetic resonance spectroscopy to identify key metabolites. A targeted MS assay was then developed to quantify the key metabolites in urine. A MS-based urine metabolomic diagnostic test for adenomatous polyps was established using 67% samples (un-blinded training set) and validated using the remaining 33% samples (blinded testing set). : The MS-based urine metabolomic test identifies patients with colonic adenomatous polyps with an AUC of 0.692, outperforming the NMR based predictor with an AUC of 0.670. : Here we describe a clinically scalable MS-based urine metabolomic test that identifies patients with adenomatous polyps at a higher level of sensitivity (86%) over current fecal-based tests (<18%).

摘要

结直肠癌是全球癌症死亡的主要原因之一。检测并切除结直肠癌的癌前病变——腺瘤性息肉,是筛查的关键。本研究的目的是开发一种临床上可扩展的(高通量、低成本、高灵敏度)基于质谱(MS)的尿液代谢组学检测方法,用于检测腺瘤性息肉。:前瞻性收集了685名参加结直肠癌筛查项目并接受结肠镜检查的参与者的尿液和粪便样本。对通过一维核磁共振波谱法测得的69种尿液代谢物进行统计分析,以确定关键代谢物。随后开发了一种靶向MS检测方法,用于定量尿液中的关键代谢物。使用67%的样本(未设盲训练集)建立了基于MS的腺瘤性息肉尿液代谢组学诊断检测方法,并使用其余33%的样本(设盲测试集)进行验证。:基于MS的尿液代谢组学检测方法识别结肠腺瘤性息肉患者的曲线下面积(AUC)为0.692,优于基于核磁共振波谱法的预测指标,其AUC为0.670。:在此,我们描述了一种临床上可扩展的基于MS的尿液代谢组学检测方法,该方法识别腺瘤性息肉患者的灵敏度(86%)高于目前基于粪便的检测方法(<18%)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04b8/5618317/4a944f3079bb/metabolites-07-00032-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04b8/5618317/649c58a9468e/metabolites-07-00032-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04b8/5618317/4a944f3079bb/metabolites-07-00032-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04b8/5618317/649c58a9468e/metabolites-07-00032-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04b8/5618317/4a944f3079bb/metabolites-07-00032-g002.jpg

相似文献

1
Development and Validation of a High-Throughput Mass Spectrometry Based Urine Metabolomic Test for the Detection of Colonic Adenomatous Polyps.基于高通量质谱的尿液代谢组学检测方法用于检测结肠腺瘤性息肉的开发与验证
Metabolites. 2017 Jun 22;7(3):32. doi: 10.3390/metabo7030032.
2
Development and validation of a highly sensitive urine-based test to identify patients with colonic adenomatous polyps.开发并验证一种高灵敏度的基于尿液的检测方法,以识别患有结肠腺瘤性息肉的患者。
Clin Transl Gastroenterol. 2014 Mar 20;5(3):e54. doi: 10.1038/ctg.2014.2.
3
Clinical validation of a novel urine-based metabolomic test for the detection of colonic polyps on Chinese population.
Int J Colorectal Dis. 2017 May;32(5):741-743. doi: 10.1007/s00384-016-2729-9. Epub 2016 Dec 1.
4
Translational Metabolomics of Head Injury: Exploring Dysfunctional Cerebral Metabolism with Ex Vivo NMR Spectroscopy-Based Metabolite Quantification头部损伤的转化代谢组学:基于体外核磁共振波谱的代谢物定量分析探索脑代谢功能障碍
5
Fecal metabolomic profiles: A comparative study of patients with colorectal cancer adenomatous polyps.粪便代谢组学特征:结直肠腺瘤患者的对比研究。
World J Gastroenterol. 2021 Oct 14;27(38):6430-6441. doi: 10.3748/wjg.v27.i38.6430.
6
N-myristoyltransferase 2-based Blood Test for the Detection of Colorectal Adenomatous Polyps and Cancer.基于N-肉豆蔻酰基转移酶2的血液检测用于结直肠腺瘤性息肉和癌症的检测
Ann Surg Open. 2022 Jan 7;3(1):e117. doi: 10.1097/AS9.0000000000000117. eCollection 2022 Mar.
7
Applying simple linear combination, multiple logistic and factor analysis methods for candidate fecal bacteria as novel biomarkers for early detection of adenomatous polyps and colon cancer.将简单线性组合、多元逻辑回归和因子分析方法应用于候选粪便细菌,以寻找用于早期检测腺瘤性息肉和结肠癌的新型生物标志物。
J Microbiol Methods. 2018 Dec;155:82-88. doi: 10.1016/j.mimet.2018.11.007. Epub 2018 Nov 12.
8
Screening for colon cancer: A test for occult blood.结肠癌筛查:一项潜血检测。
Int J Risk Saf Med. 2015;27 Suppl 1:S110-1. doi: 10.3233/JRS-150712.
9
A machine-learned predictor of colonic polyps based on urinary metabolomics.基于尿液代谢组学的结肠息肉机器学习预测器。
Biomed Res Int. 2013;2013:303982. doi: 10.1155/2013/303982. Epub 2013 Nov 7.
10
Rapid differentiating colorectal cancer and colorectal polyp using dried blood spot mass spectrometry metabolomic approach.采用干血斑质谱代谢组学方法快速鉴别结直肠癌和结肠息肉
IUBMB Life. 2017 May;69(5):347-354. doi: 10.1002/iub.1617. Epub 2017 Mar 20.

引用本文的文献

1
State of omics-based microbial diagnostics of CRC.基于组学的结直肠癌微生物诊断现状。
Gut Microbes. 2025 Dec;17(1):2526132. doi: 10.1080/19490976.2025.2526132. Epub 2025 Jul 2.
2
Potential of pre-diagnostic metabolomics for colorectal cancer risk assessment or early detection.诊断前代谢组学在结直肠癌风险评估或早期检测中的潜力。
NPJ Precis Oncol. 2024 Oct 27;8(1):244. doi: 10.1038/s41698-024-00732-5.
3
Untargeted Metabolomic Biomarker Discovery for the Detection of Ectopic Pregnancy.用于异位妊娠检测的非靶向代谢组学生物标志物发现。

本文引用的文献

1
CLSI C62-A: A New Standard for Clinical Mass Spectrometry.CLSI C62-A:临床质谱分析新标准。
Clin Chem. 2016 Jan;62(1):24-9. doi: 10.1373/clinchem.2015.238626. Epub 2015 Oct 1.
2
[Statistical tests in medical research: traditional methods vs. multivariate NPC permutation tests].[医学研究中的统计检验:传统方法与多元非参数置换检验]
Urologia. 2015 Apr-Jun;82(2):130-6. doi: 10.5301/uro.5000117. Epub 2015 Apr 6.
3
Metabonomics of human colorectal cancer: new approaches for early diagnosis and biomarker discovery.人类结直肠癌的代谢组学:早期诊断和生物标志物发现的新方法
Int J Mol Sci. 2024 Sep 26;25(19):10333. doi: 10.3390/ijms251910333.
4
Challenges in the Metabolomics-Based Biomarker Validation Pipeline.基于代谢组学的生物标志物验证流程中的挑战。
Metabolites. 2024 Apr 3;14(4):200. doi: 10.3390/metabo14040200.
5
Mass spectrometry for metabolomics analysis: Applications in neonatal and cancer screening.代谢组学分析中的质谱法:在新生儿和癌症筛查中的应用。
Mass Spectrom Rev. 2024 Jul-Aug;43(4):683-712. doi: 10.1002/mas.21826. Epub 2022 Dec 16.
6
Urine NMR Metabolomics for Precision Oncology in Colorectal Cancer.尿液 NMR 代谢组学在结直肠癌精准肿瘤学中的应用。
Int J Mol Sci. 2022 Sep 22;23(19):11171. doi: 10.3390/ijms231911171.
7
Identification of urinary biomarkers of colorectal cancer: Towards the development of a colorectal screening test in limited resource settings.结直肠癌尿液生物标志物的鉴定:在资源有限的环境中开发结直肠癌筛查试验。
Cancer Biomark. 2023;36(1):17-30. doi: 10.3233/CBM-220034.
8
Metabolomics and the Multi-Omics View of Cancer.代谢组学与癌症的多组学视角
Metabolites. 2022 Feb 7;12(2):154. doi: 10.3390/metabo12020154.
9
Genomic and epigenomic biomarkers in colorectal cancer: From diagnosis to therapy.结直肠癌的基因组和表观基因组生物标志物:从诊断到治疗。
Adv Cancer Res. 2021;151:231-304. doi: 10.1016/bs.acr.2021.02.008. Epub 2021 Mar 29.
10
Comprehensive Volatilome and Metabolome Signatures of Colorectal Cancer in Urine: A Systematic Review and Meta-Analysis.尿液中结直肠癌的综合挥发物组和代谢组特征:一项系统评价和荟萃分析
Cancers (Basel). 2021 May 21;13(11):2534. doi: 10.3390/cancers13112534.
J Proteome Res. 2014 Sep 5;13(9):3857-70. doi: 10.1021/pr500443c. Epub 2014 Aug 14.
4
Development and validation of a highly sensitive urine-based test to identify patients with colonic adenomatous polyps.开发并验证一种高灵敏度的基于尿液的检测方法,以识别患有结肠腺瘤性息肉的患者。
Clin Transl Gastroenterol. 2014 Mar 20;5(3):e54. doi: 10.1038/ctg.2014.2.
5
A machine-learned predictor of colonic polyps based on urinary metabolomics.基于尿液代谢组学的结肠息肉机器学习预测器。
Biomed Res Int. 2013;2013:303982. doi: 10.1155/2013/303982. Epub 2013 Nov 7.
6
The human urine metabolome.人类尿液代谢组。
PLoS One. 2013 Sep 4;8(9):e73076. doi: 10.1371/journal.pone.0073076. eCollection 2013.
7
HMDB 3.0--The Human Metabolome Database in 2013.HMDB 3.0——2013 年的人类代谢物数据库。
Nucleic Acids Res. 2013 Jan;41(Database issue):D801-7. doi: 10.1093/nar/gks1065. Epub 2012 Nov 17.
8
The sensitivity and specificity of guaiac and immunochemical fecal occult blood tests for the detection of advanced colonic adenomas and cancer.愈创木脂和免疫化学粪便潜血试验检测高级结肠腺瘤和癌症的敏感性和特异性。
Int J Colorectal Dis. 2012 Dec;27(12):1657-64. doi: 10.1007/s00384-012-1518-3. Epub 2012 Jun 14.
9
Regulation of the metabolite profile by an APC gene mutation in colorectal cancer.结直肠癌中 APC 基因突变对代谢物谱的调节。
Cancer Sci. 2012 Jun;103(6):1010-21. doi: 10.1111/j.1349-7006.2012.02262.x. Epub 2012 Apr 12.
10
Comparison of methods: Passing and Bablok regression.方法比较:Passing-Bablok 回归。
Biochem Med (Zagreb). 2011;21(1):49-52. doi: 10.11613/bm.2011.010.