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结直肠癌中粪便宏基因组学与代谢组学的综合分析

Integrative Analysis of Fecal Metagenomics and Metabolomics in Colorectal Cancer.

作者信息

Clos-Garcia Marc, Garcia Koldo, Alonso Cristina, Iruarrizaga-Lejarreta Marta, D'Amato Mauro, Crespo Anais, Iglesias Agueda, Cubiella Joaquín, Bujanda Luis, Falcón-Pérez Juan Manuel

机构信息

Exosomes Laboratory, CIC bioGUNE, 48160 Derio, Spain.

Biodonostia, Grupo de Enfermedades Gastrointestinales, 20014 San Sebastian, Spain.

出版信息

Cancers (Basel). 2020 May 2;12(5):1142. doi: 10.3390/cancers12051142.


DOI:10.3390/cancers12051142
PMID:32370168
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7281174/
Abstract

Although colorectal cancer (CRC) is the second leading cause of death in developed countries, current diagnostic tests for early disease stages are suboptimal. We have performed a combination of UHPLC-MS metabolomics and 16S microbiome analyses on 224 feces samples in order to identify early biomarkers for both advanced adenomas (AD) and CRC. We report differences in fecal levels of cholesteryl esters and sphingolipids in CRC. We identified and to be increased in CRC patients and Lachnospiraceae family to be reduced. We finally described to be more abundant in AD patients' feces. Integration of metabolomics and microbiome data revealed tight interactions between bacteria and host and performed better than FOB test for CRC diagnosis. This study identifies potential early biomarkers that outperform current diagnostic tools and frame them into the stablished gut microbiota role in CRC pathogenesis.

摘要

尽管结直肠癌(CRC)是发达国家第二大死因,但目前针对疾病早期阶段的诊断测试并不理想。我们对224份粪便样本进行了超高效液相色谱-质谱代谢组学和16S微生物组分析相结合的研究,以确定晚期腺瘤(AD)和CRC的早期生物标志物。我们报告了CRC患者粪便中胆固醇酯和鞘脂水平的差异。我们发现CRC患者体内的[具体物质1]和[具体物质2]增加,而毛螺菌科减少。我们最终描述了[具体物质3]在AD患者粪便中更为丰富。代谢组学和微生物组数据的整合揭示了细菌与宿主之间的紧密相互作用,并且在CRC诊断方面比粪便潜血试验表现更好。这项研究确定了优于当前诊断工具的潜在早期生物标志物,并将它们纳入已确立的肠道微生物群在CRC发病机制中的作用框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/017caa09d741/cancers-12-01142-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/eb5426164bbc/cancers-12-01142-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/36a84304b24a/cancers-12-01142-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/134e75faec41/cancers-12-01142-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/ecfc995bc950/cancers-12-01142-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/284609b6e842/cancers-12-01142-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/017caa09d741/cancers-12-01142-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/eb5426164bbc/cancers-12-01142-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/36a84304b24a/cancers-12-01142-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/134e75faec41/cancers-12-01142-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/ecfc995bc950/cancers-12-01142-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/284609b6e842/cancers-12-01142-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3043/7281174/017caa09d741/cancers-12-01142-g006.jpg

相似文献

[1]
Integrative Analysis of Fecal Metagenomics and Metabolomics in Colorectal Cancer.

Cancers (Basel). 2020-5-2

[2]
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[3]
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[6]
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[7]
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[8]
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[9]
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[10]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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Microb Cell. 2024-5-23

[9]
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[10]
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本文引用的文献

[1]
Exploring the Archaeome: Detection of Archaeal Signatures in the Human Body.

Front Microbiol. 2019-12-5

[2]
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Nat Biotechnol. 2019-8

[3]
Metagenomic and metabolomic analyses reveal distinct stage-specific phenotypes of the gut microbiota in colorectal cancer.

Nat Med. 2019-6-6

[4]
Compositional and functional differences in human gut microbiome with respect to equol production and its association with blood lipid level: a cross-sectional study.

Gut Pathog. 2019-5-10

[5]
DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays.

Bioinformatics. 2019-9-1

[6]
FELLA: an R package to enrich metabolomics data.

BMC Bioinformatics. 2018-12-22

[7]
Targeted UPLC-MS Metabolic Analysis of Human Faeces Reveals Novel Low-Invasive Candidate Markers for Colorectal Cancer.

Cancers (Basel). 2018-9-1

[8]
Metabolomic-based noninvasive serum test to diagnose nonalcoholic steatohepatitis: Results from discovery and validation cohorts.

Hepatol Commun. 2018-5-4

[9]
Effects of the intestinal microbial metabolite butyrate on the development of colorectal cancer.

J Cancer. 2018-6-15

[10]
A prospective evaluation of plasma polyphenol levels and colon cancer risk.

Int J Cancer. 2018-6-11

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