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通过综合多组学数据整合对结直肠癌进行特定通路的深入研究。

Pathway-Specific Insights into Colorectal Cancer Through Comprehensive Multi-Omics Data Integration.

作者信息

Karaman Tayyip, Oktem Okullu Sinem, Bayram Akçapınar Günseli, Sezerman Osman Ugur

机构信息

Department of Medical Biotechnology, Institute of Health Science, Acibadem Mehmet Ali Aydinlar University, Atasehir, Istanbul 34752, Turkey.

Department of Medical Microbiology, School of Medicine, Acibadem Mehmet Ali Aydinlar University, Atasehir, Istanbul 34752, Turkey.

出版信息

Biology (Basel). 2025 Apr 25;14(5):468. doi: 10.3390/biology14050468.

DOI:10.3390/biology14050468
PMID:40427657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12109357/
Abstract

Thousands of biomarkers have been discovered to solve the mechanisms of cancer, but dynamic alterations in the parameters that affect cancer progression cause complex disease status. Therefore, it is essential when dealing with cancer to analyze all parameters, including pathway information, to understand the disease mechanism of action. In our study, we applied multi-omics data integration for microbiome, transcriptome, and microbial pathway datasets obtained from colorectal cancer patients. The gene and , which both play roles in the stability of the intestinal barrier, were found to be highly associated with each other (r = 0.71). The Klf3 gene has been identified as a critical regulator in the activation of the WNT1 and WNT/β-catenin signaling pathways. Notably, it exhibited a strong positive correlation with the presence of , which are also implicated in modulating these pathways. In addition, the glutaryl CoA degradation and p-cymene degradation pathways demonstrated a strong positive association with the expression of the , , , , , , , , , , , and genes (r > 0.65), suggesting their potential involvement in the regulation and metabolic integration of these pathways at the transcriptional level.

摘要

为了解决癌症的发病机制,人们已经发现了数千种生物标志物,但影响癌症进展的参数的动态变化会导致复杂的疾病状态。因此,在研究癌症时,分析所有参数(包括信号通路信息)对于理解疾病的作用机制至关重要。在我们的研究中,我们对从结直肠癌患者获得的微生物组、转录组和微生物信号通路数据集应用了多组学数据整合。发现 Klf3 基因和另一个在肠道屏障稳定性中起作用的基因彼此高度相关(r = 0.71)。Klf3 基因已被确定为 WNT1 和 WNT/β-连环蛋白信号通路激活中的关键调节因子。值得注意的是,它与同样参与调节这些信号通路的某些物质的存在呈强正相关。此外,戊二酰辅酶A降解和对伞花烃降解信号通路与多个基因(如 Klf3、某些其他未提及具体名称的基因)的表达呈强正相关(r > 0.65),表明它们可能在转录水平上参与这些信号通路的调控和代谢整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/b6c5fbd06d09/biology-14-00468-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/64e5c66f37d2/biology-14-00468-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/7c8cedfc3a31/biology-14-00468-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/e947527b58e6/biology-14-00468-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/19050e6117e0/biology-14-00468-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/e60f7b7564de/biology-14-00468-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/f50e3348f455/biology-14-00468-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/f0e50e8d509d/biology-14-00468-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/70bee3241b52/biology-14-00468-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/b6c5fbd06d09/biology-14-00468-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/64e5c66f37d2/biology-14-00468-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/7c8cedfc3a31/biology-14-00468-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/e947527b58e6/biology-14-00468-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/19050e6117e0/biology-14-00468-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/e60f7b7564de/biology-14-00468-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/f50e3348f455/biology-14-00468-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/f0e50e8d509d/biology-14-00468-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/70bee3241b52/biology-14-00468-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67e/12109357/b6c5fbd06d09/biology-14-00468-g009.jpg

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Integrated multi-omics analysis reveals gut microbiota dysbiosis and systemic disturbance in major depressive disorder.整合多组学分析揭示了重度抑郁症中的肠道微生物失调和全身紊乱。
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Multi-omic profiling reveals associations between the gut microbiome, host genome and transcriptome in patients with colorectal cancer.
多组学分析揭示了结直肠癌患者肠道微生物组、宿主基因组和转录组之间的关联。
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KLF3 promotes colorectal cancer growth by activating WNT1.KLF3 通过激活 WNT1 促进结直肠癌生长。
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Fusobacterium nucleatum putatively affects the alveoli by disrupting the alveolar epithelial cell tight junction, enlarging the alveolar space, and increasing paracellular permeability.具核梭杆菌可能通过破坏肺泡上皮细胞紧密连接、扩大肺泡空间和增加细胞旁通透性来影响肺泡。
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