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本文引用的文献

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Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI).化学分析最低报告标准建议 化学分析工作组(CAWG)代谢组学标准倡议(MSI)
Metabolomics. 2007 Sep;3(3):211-221. doi: 10.1007/s11306-007-0082-2.
2
What a difference a hydroxyl makes: mutant IDH, (R)-2-hydroxyglutarate, and cancer.羟基的差异有多大:突变 IDH、(R)-2-羟基戊二酸和癌症。
Genes Dev. 2013 Apr 15;27(8):836-52. doi: 10.1101/gad.217406.113.
3
The role of gut microbiota in the pathogenesis of colorectal cancer.肠道微生物群在结直肠癌发病机制中的作用。
Tumour Biol. 2013 Jun;34(3):1285-300. doi: 10.1007/s13277-013-0684-4. Epub 2013 Feb 10.
4
Cancer omics: from regulatory networks to clinical outcomes.癌症组学:从调控网络到临床结局。
Cancer Lett. 2013 Nov 1;340(2):277-83. doi: 10.1016/j.canlet.2012.11.033. Epub 2012 Nov 29.
5
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.
6
Utilization of metabolomics to identify serum biomarkers for hepatocellular carcinoma in patients with liver cirrhosis.利用代谢组学鉴定肝硬化患者肝细胞癌的血清生物标志物。
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Serum amino acid profiles and their alterations in colorectal cancer.血清氨基酸谱及其在结直肠癌中的变化。
Metabolomics. 2012 Aug;8(4):643-653. doi: 10.1007/s11306-011-0357-5. Epub 2011 Sep 16.
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Remodeling of central metabolism in invasive breast cancer compared to normal breast tissue - a GC-TOFMS based metabolomics study.侵袭性乳腺癌与正常乳腺组织中心代谢重塑的比较——基于 GC-TOFMS 的代谢组学研究。
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9
A novel serum metabolomics-based diagnostic approach for colorectal cancer.一种基于新型血清代谢组学的结直肠癌诊断方法。
PLoS One. 2012;7(7):e40459. doi: 10.1371/journal.pone.0040459. Epub 2012 Jul 11.
10
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.

基于质谱的代谢组学在癌症研究中的综述。

Review of mass spectrometry-based metabolomics in cancer research.

机构信息

Authors' Affiliations: Division of Preventive Oncology, National Center for Tumor Diseases (NCT); German Cancer Research Center (DKFZ), Heidelberg, Germany; International Agency for Research on Cancer (IARC), Lyon, France; and Fred Hutchinson Cancer Research Center (FHCRC), Seattle, Washington.

出版信息

Cancer Epidemiol Biomarkers Prev. 2013 Dec;22(12):2182-201. doi: 10.1158/1055-9965.EPI-13-0584. Epub 2013 Oct 4.

DOI:10.1158/1055-9965.EPI-13-0584
PMID:24096148
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3912559/
Abstract

Metabolomics, the systematic investigation of all metabolites present within a biologic system, is used in biomarker development for many human diseases, including cancer. In this review, we investigate the current role of mass spectrometry-based metabolomics in cancer research. A literature review was carried out within the databases PubMed, Embase, and Web of Knowledge. We included 106 studies reporting on 21 different types of cancer in 7 different sample types. Metabolomics in cancer research is most often used for case-control comparisons. Secondary applications include translational areas, such as patient prognosis, therapy control and tumor classification, or grading. Metabolomics is at a developmental stage with respect to epidemiology, with the majority of studies including less than 100 patients. Standardization is required especially concerning sample preparation and data analysis. In the second part of this review, we reconstructed a metabolic network of patients with cancer by quantitatively extracting all reports of altered metabolites: Alterations in energy metabolism, membrane, and fatty acid synthesis emerged, with tryptophan levels changed most frequently in various cancers. Metabolomics has the potential to evolve into a standard tool for future applications in epidemiology and translational cancer research, but further, large-scale studies including prospective validation are needed.

摘要

代谢组学是对生物系统中所有代谢物的系统研究,用于许多人类疾病(包括癌症)的生物标志物开发。在这篇综述中,我们研究了基于质谱的代谢组学在癌症研究中的当前作用。在 PubMed、Embase 和 Web of Knowledge 数据库中进行了文献回顾。我们共纳入了 106 项研究,这些研究涉及 7 种不同样本类型的 21 种不同类型的癌症。代谢组学在癌症研究中最常用于病例对照比较。次要应用包括转化领域,如患者预后、治疗控制和肿瘤分类或分级。代谢组学在流行病学方面还处于发展阶段,大多数研究纳入的患者少于 100 人。需要进行标准化,特别是在样品制备和数据分析方面。在这篇综述的第二部分,我们通过定量提取所有报道的代谢物改变的报告,重建了癌症患者的代谢网络:出现了能量代谢、膜和脂肪酸合成的改变,各种癌症中色氨酸水平变化最频繁。代谢组学有可能演变成未来在流行病学和转化癌症研究中应用的标准工具,但需要进一步开展包括前瞻性验证的大规模研究。