Identification of shared and disease-specific intratumoral microbiome-host gene associations in gastrointestinal tumors.

IF 2.5 4区 生物学 Q3 CELL BIOLOGY
Jing Liu, Hongyan Wang, Shuai Zhang, Jinyang Liu
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引用次数: 0

Abstract

Intratumoral microbiota and host genes interact to promote gastrointestinal disorders, but how the two interact to influence host tumorigenesis remains unclear. Here, we utilized a machine learning-based framework to jointly dissect the paired intratumoral microbiome and host transcriptome profiles in patients with colon adenocarcinoma, hepatocellular carcinoma, and gastric cancer. We identified associations between intratumoral microbes and host genes that depict shared as well as cancer type-specific patterns. We found that a common set of host gene and pathways implicated in cell proliferation and energy metabolism are associated with cancer type-specific intratumoral microbes. Additionally, we also found that intratumoral microbes that have been implicated in three gastrointestinal tumors, such as Lachnoclostridium, are correlated with different host pathways in each tumor, indicating that similar microbes can influence host tumorigenesis in a cancer type-specific manner by regulation of different host genes. Our study reveals patterns of association between intratumoral microbiota and host genes in gastrointestinal tumors, providing new insights into the biology of gastrointestinal tumors.

鉴定胃肠道肿瘤中共同的和疾病特异性的瘤内微生物组-宿主基因关联。
口腔内微生物群和宿主基因相互作用促进胃肠道疾病的发生,但两者如何相互作用影响宿主肿瘤发生仍不清楚。在这里,我们利用基于机器学习的框架,共同剖析了结肠腺癌、肝细胞癌和胃癌患者的成对瘤内微生物组和宿主转录组图谱。我们确定了瘤内微生物与宿主基因之间的关联,这些关联描绘了共享模式以及癌症类型特异性模式。我们发现,与细胞增殖和能量代谢有关的一组常见宿主基因和通路与特定癌症类型的瘤内微生物有关。此外,我们还发现,在三种胃肠道肿瘤中均有涉及的瘤内微生物(如拉氏梭菌)与每种肿瘤中不同的宿主通路相关,这表明类似的微生物可通过调控不同的宿主基因,以癌症类型特异性的方式影响宿主的肿瘤发生。我们的研究揭示了胃肠道肿瘤瘤内微生物群与宿主基因之间的关联模式,为胃肠道肿瘤生物学提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
期刊介绍: The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.
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