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本文引用的文献

1
Global gas chromatography/time-of-flight mass spectrometry (GC/TOFMS)-based metabonomic profiling of lyophilized human feces.基于气相色谱/飞行时间质谱(GC/TOFMS)的冻干人粪便代谢组学分析。
J Chromatogr B Analyt Technol Biomed Life Sci. 2013 Oct 15;937:103-13. doi: 10.1016/j.jchromb.2013.08.025. Epub 2013 Aug 26.
2
Stool microbiome and metabolome differences between colorectal cancer patients and healthy adults.结直肠癌患者与健康成年人粪便微生物组和代谢组的差异。
PLoS One. 2013 Aug 6;8(8):e70803. doi: 10.1371/journal.pone.0070803. Print 2013.
3
1H HR-MAS NMR spectroscopy of tumor-induced local metabolic "field-effects" enables colorectal cancer staging and prognostication.肿瘤诱导的局部代谢“场效应”的 1H HR-MAS NMR 光谱学可用于结直肠癌分期和预后预测。
J Proteome Res. 2013 Feb 1;12(2):959-68. doi: 10.1021/pr3010106. Epub 2013 Jan 16.
4
Global profiling strategies for mapping dysregulated metabolic pathways in cancer.癌症中失调代谢途径的全局分析策略。
Cell Metab. 2012 Nov 7;16(5):565-77. doi: 10.1016/j.cmet.2012.09.013. Epub 2012 Oct 11.
5
Serum metabolic signatures of fulminant type 1 diabetes.暴发性 1 型糖尿病的血清代谢特征。
J Proteome Res. 2012 Sep 7;11(9):4705-11. doi: 10.1021/pr300523x. Epub 2012 Aug 27.
6
Allergic asthma exhaled breath metabolome: a challenge for comprehensive two-dimensional gas chromatography.变应性哮喘呼出气代谢组学:全面二维气相色谱分析的挑战
J Chromatogr A. 2012 Sep 7;1254:87-97. doi: 10.1016/j.chroma.2012.07.023. Epub 2012 Jul 16.
7
Analysis of urinary metabolic signatures of early hepatocellular carcinoma recurrence after surgical removal using gas chromatography-mass spectrometry.采用气相色谱-质谱联用技术分析手术切除后早期肝细胞癌复发的尿代谢特征。
J Proteome Res. 2012 Aug 3;11(8):4361-72. doi: 10.1021/pr300502v. Epub 2012 Jul 24.
8
Metabotyping of human colorectal cancer using two-dimensional gas chromatography mass spectrometry.基于二维气相色谱-质谱联用技术的人结直肠癌代谢分型研究。
Anal Bioanal Chem. 2012 Apr;403(2):483-93. doi: 10.1007/s00216-012-5870-5. Epub 2012 Feb 29.
9
Niacin requirements for genomic stability.烟酸对基因组稳定性的需求。
Mutat Res. 2012 May 1;733(1-2):14-20. doi: 10.1016/j.mrfmmm.2011.11.008. Epub 2011 Nov 28.
10
Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers.结直肠癌患者和健康志愿者肠道微生物群落的结构分离。
ISME J. 2012 Feb;6(2):320-9. doi: 10.1038/ismej.2011.109. Epub 2011 Aug 18.

结直肠癌的非侵入性粪便代谢组学检测

Non-invasive fecal metabonomic detection of colorectal cancer.

作者信息

Phua Lee Cheng, Chue Xiu Ping, Koh Poh Koon, Cheah Peh Yean, Ho Han Kiat, Chan Eric Chun Yong

机构信息

Department of Pharmacy; Faculty of Science; National University of Singapore; Singapore.

Department of Colorectal Surgery; Singapore General Hospital; Singapore.

出版信息

Cancer Biol Ther. 2014 Apr;15(4):389-97. doi: 10.4161/cbt.27625. Epub 2014 Jan 14.

DOI:10.4161/cbt.27625
PMID:24424155
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3979816/
Abstract

Colorectal cancer (CRC) is a major cause of mortality in many developed countries. Effective screening strategies were called for to facilitate timely detection and to promote a better clinical outcome. In this study, the role of fecal metabonomics in the non-invasive detection of CRC was investigated. Gas chromatography/time-of-flight mass spectrometry (GC/TOFMS) was utilized for the metabolic profiling of feces obtained from 11 CRC patients and 10 healthy subjects. Concurrently, matched tumor and normal mucosae surgically excised from CRC patients were profiled. CRC patients were differentiated clearly from healthy subjects based on their fecal metabonomic profiles (orthogonal partial least squares discriminant analysis [OPLS-DA], 1 predictive and 3 Y-orthogonal components, R (2)X = 0.373, R (2)Y = 0.995, Q (2) [cumulative] = 0.215). The robustness of the OPLS-DA model was demonstrated by an area of 1 under the receiver operator characteristic curve. OPLS-DA revealed fecal marker metabolites (e.g., fructose, linoleic acid, and nicotinic acid) that provided novel insights into the tumorigenesis of CRC. Interestingly, a disparate set of CRC-related metabolic aberrations occurred at the tissue level, implying the contribution of processes beyond the direct shedding of tumor cells to the fecal metabotype. In summary, this work established proof-of-principle for GC/TOFMS-based fecal metabonomic detection of CRC and offered new perspectives on the underlying mechanisms.

摘要

在许多发达国家,结直肠癌(CRC)是主要的死亡原因之一。因此需要有效的筛查策略以促进及时检测并改善临床结果。在本研究中,调查了粪便代谢组学在CRC非侵入性检测中的作用。利用气相色谱/飞行时间质谱(GC/TOFMS)对11例CRC患者和10名健康受试者的粪便进行代谢谱分析。同时,对CRC患者手术切除的匹配肿瘤组织和正常黏膜进行分析。基于粪便代谢组学谱(正交偏最小二乘判别分析[OPLS-DA],1个预测成分和3个Y正交成分,R(2)X = 0.373,R(2)Y = 0.995,Q(2)[累积] = 0.215),CRC患者与健康受试者能够被清晰区分。OPLS-DA模型的稳健性通过受试者工作特征曲线下面积为1得到证明。OPLS-DA揭示了粪便标记代谢物(如果糖、亚油酸和烟酸),为CRC的肿瘤发生提供了新的见解。有趣的是,在组织水平上出现了一组不同的与CRC相关的代谢异常,这意味着除了肿瘤细胞直接脱落之外的过程对粪便代谢型也有贡献。总之,这项工作为基于GC/TOFMS的粪便代谢组学检测CRC建立了原理验证,并为潜在机制提供了新的视角。