结直肠癌患者宿主宏基因组荟萃分析显示结直肠癌相关物种†之间存在很强的相关性

IF 3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Molecular omics Pub Date : 2023-03-28 DOI:10.1039/D3MO00021D
Manuel Adrian Riveros Escalona, Joice de Faria Poloni, Mathias J. Krause and Márcio Dorn
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引用次数: 1

摘要

结直肠癌(CRC)是最常见的癌症类型之一,许多研究将其发展与肠道微生物群的变化联系起来。测序技术的最新发展和随后的肠道宏基因组荟萃分析为更好地了解与结直肠癌肿瘤发生相关的物种提供了帮助。尽管如此,高重要性分类单例的重要性(即与给定条件高度相关但仅在少数数据集中观察到的物种)以及物种相互作用和跨队列共现的重要性需要进一步探索。研究表明,肠道宏基因组具有高度的功能冗余,这意味着物种相互作用可以减轻任何特定物种的缺失。在CRC框架中,这意味着物种共发生可能在肿瘤发生中发挥作用,即使CRC相关物种显示出低丰度。我们建议通过最初单独分析每个数据集,然后交叉CRC和健康样本之间差异丰富的物种的结果来评估肿瘤中微生物物种的患病率。然后,我们根据KEGG同源物识别这些物种的代谢途径,突出了与CRC相关的代谢途径。我们的研究结果表明,在所有项目中,有7种细菌的发病率很高,并且与CRC有很高的相关性,包括拟杆菌属、肠闭杆菌属和普雷沃氏菌属。最后,我们发现CRC的特征还在于一些物种的共存,这些物种没有显着的丰度差异,但在文献中被描述为潜在的CRC生物标志物。这些结果表明物种间的相互作用也可能在结直肠癌的发生中起作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Meta-analyses of host metagenomes from colorectal cancer patients reveal strong relationship between colorectal cancer-associated species†

Meta-analyses of host metagenomes from colorectal cancer patients reveal strong relationship between colorectal cancer-associated species†

Colorectal cancer (CRC) is one of the most common types of cancer, with many studies associating its development with changes in the gut microbiota. Recent developments in sequencing technologies and subsequent meta-analyses of gut metagenome provided a better understanding of species related to CRC tumorigenesis. Still, the importance of high-importance taxonomic singletons (i.e. species highly associated with a given condition but observed only in the minority of datasets) and the species interactions and co-occurrence across cohorts need further exploration. It has been shown that the gut metagenome presents a high functional redundancy, meaning that species interactions could mitigate the absence of any given species. In a CRC framework, this implies that species co-occurrence could play a role in tumorigenesis, even if CRC-associated species show low abundance. We propose to evaluate the prevalence of microbial species in tumor by initially analyzing each dataset individually and subsequently intersecting the results for differentially abundant species between CRC and healthy samples. We then identify metabolic pathways from these species based on KEGG orthologs, highlighting metabolic pathways associated with CRC. Our results indicate seven species with high prevalence across all projects and with high association to CRC, including the genus Bacteroides, Enterocloster and Prevotella. Finally, we show that CRC is also characterized by the co-occurrence of species that do not present significant differential abundance, but have been described in the literature as potential CRC biomarkers. These results indicate that between-species interactions could also play a role in CRC tumorigenesis.

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来源期刊
Molecular omics
Molecular omics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
5.40
自引率
3.40%
发文量
91
期刊介绍: Molecular Omics publishes high-quality research from across the -omics sciences. Topics include, but are not limited to: -omics studies to gain mechanistic insight into biological processes – for example, determining the mode of action of a drug or the basis of a particular phenotype, such as drought tolerance -omics studies for clinical applications with validation, such as finding biomarkers for diagnostics or potential new drug targets -omics studies looking at the sub-cellular make-up of cells – for example, the subcellular localisation of certain proteins or post-translational modifications or new imaging techniques -studies presenting new methods and tools to support omics studies, including new spectroscopic/chromatographic techniques, chip-based/array technologies and new classification/data analysis techniques. New methods should be proven and demonstrate an advance in the field. Molecular Omics only accepts articles of high importance and interest that provide significant new insight into important chemical or biological problems. This could be fundamental research that significantly increases understanding or research that demonstrates clear functional benefits. Papers reporting new results that could be routinely predicted, do not show a significant improvement over known research, or are of interest only to the specialist in the area are not suitable for publication in Molecular Omics.
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