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整合多组学分析揭示了将肠道系统疾病与结直肠癌进展联系起来的关键分子网络。

Integrative Multi-Omics Analysis Reveals Critical Molecular Networks Linking Intestinal-System Diseases to Colorectal Cancer Progression.

作者信息

Ji Shiliang, Hu Haoran, Zhu Ruifang, Guo Dongkai, Liu Yujing, Yang Yang, Li Tian, Zou Chen, Jiang Yiguo, Liu Guilai

机构信息

Suzhou Research Center of Medical School, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou 215163, China.

State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China.

出版信息

Biomedicines. 2024 Nov 21;12(12):2656. doi: 10.3390/biomedicines12122656.

DOI:10.3390/biomedicines12122656
PMID:39767563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11673540/
Abstract

: Colorectal cancer (CRC) frequently co-occurs with intestinal system diseases (ISDs), yet their molecular interplay remains poorly understood. We employed a comprehensive bioinformatics approach to elucidate shared genetic signatures and pathways between CRC and ISDs. : We systematically analyzed 12 microarray and RNA-seq datasets encompassing 989 samples across seven ISDs and CRC. Differentially expressed genes (DEGs) were identified using Limma and DESeq2. Functional enrichment analysis was performed using clusterProfiler. Protein-protein interaction networks were constructed via STRING and visualized with Cytoscape to identify hub genes. Clinical significance of shared genes was further assessed through survival analysis and validated by immunohistochemistry staining of 30 paired CRC-normal tissue samples. : Integrating bioinformatics and machine learning approaches, we uncovered 160 shared DEGs (87 upregulated, 73 downregulated), which predominantly enriched cell metabolism, immune homeostasis, gut-brain communication, and inflammation pathways. Network analysis revealed nine key hub proteins linking CRC and ISDs, with seven upregulated (CD44, MYC, IL17A, CXCL1, FCGR3A, SPP1, and IL1A) and two downregulated (CXCL12 and CCL5). Survival analysis demonstrated the prognostic potential of these shared genes, while immunohistochemistry confirmed their differential expression in CRC tissues. : Our findings unveil potential biomarkers and therapeutic targets, providing insights into ISD-influenced CRC progression and offering a robust foundation for improved diagnostic and treatment strategies in ISD-associated CRC.

摘要

结直肠癌(CRC)常与肠道系统疾病(ISDs)同时发生,但其分子相互作用仍知之甚少。我们采用了一种全面的生物信息学方法来阐明CRC和ISDs之间共有的基因特征和途径。

我们系统地分析了12个微阵列和RNA测序数据集,这些数据集涵盖了7种ISDs和CRC的989个样本。使用Limma和DESeq2鉴定差异表达基因(DEGs)。使用clusterProfiler进行功能富集分析。通过STRING构建蛋白质-蛋白质相互作用网络,并用Cytoscape进行可视化以识别枢纽基因。通过生存分析进一步评估共有基因的临床意义,并通过对30对CRC-正常组织样本进行免疫组织化学染色进行验证。

整合生物信息学和机器学习方法,我们发现了160个共有的DEGs(87个上调,73个下调),它们主要富集于细胞代谢、免疫稳态、肠-脑通讯和炎症途径。网络分析揭示了9个连接CRC和ISDs的关键枢纽蛋白,其中7个上调(CD44、MYC、IL17A、CXCL1、FCGR3A、SPP1和IL1A),2个下调(CXCL12和CCL5)。生存分析证明了这些共有基因的预后潜力,而免疫组织化学证实了它们在CRC组织中的差异表达。

我们的研究结果揭示了潜在的生物标志物和治疗靶点,为ISD影响的CRC进展提供了见解,并为改善ISD相关CRC的诊断和治疗策略提供了坚实的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2db/11673540/568249ad5e94/biomedicines-12-02656-g007.jpg
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本文引用的文献

1
Risk of Colorectal Cancer in Patients With Irritable Bowel Syndrome: A Meta-Analysis of Population-Based Observational Studies.肠易激综合征患者患结直肠癌的风险:基于人群的观察性研究的荟萃分析
Front Med (Lausanne). 2022 Mar 2;9:819122. doi: 10.3389/fmed.2022.819122. eCollection 2022.
2
Transcriptomic Analyses of the Adenoma-Carcinoma Sequence Identify Hallmarks Associated With the Onset of Colorectal Cancer.腺瘤-癌序列的转录组分析确定了与结直肠癌发病相关的特征。
Front Oncol. 2021 Aug 11;11:704531. doi: 10.3389/fonc.2021.704531. eCollection 2021.
3
Impact of Age and Comorbidity on Multimodal Management and Survival from Colorectal Cancer: A Population-Based Study.
年龄和合并症对结直肠癌多模式治疗及生存的影响:一项基于人群的研究
J Clin Med. 2021 Apr 17;10(8):1751. doi: 10.3390/jcm10081751.
4
Risk of Colorectal Cancer and Cancer Related Mortality After Detection of Low-risk or High-risk Adenomas, Compared With No Adenoma, at Index Colonoscopy: A Systematic Review and Meta-analysis.在索引结肠镜检查中,与无腺瘤相比,低风险或高风险腺瘤检测后结直肠癌和癌症相关死亡率的风险:系统评价和荟萃分析。
Gastroenterology. 2021 May;160(6):1986-1996.e3. doi: 10.1053/j.gastro.2021.01.214. Epub 2021 Jan 29.
5
Comorbidity, Functional Impairment, and Emotional Distress: A Coping Mediation Model for Persons With Cancer.共病、功能障碍和情绪困扰:癌症患者的应对中介模型。
Ann Behav Med. 2021 Oct 4;55(10):994-1004. doi: 10.1093/abm/kaaa122.
6
Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression.生物信息学和机器学习方法鉴定中枢神经系统疾病对胶质母细胞瘤进展的影响。
Brief Bioinform. 2021 Sep 2;22(5). doi: 10.1093/bib/bbaa365.
7
The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets.2021 年的 STRING 数据库:可定制的蛋白质-蛋白质网络,以及用户上传的基因/测量集的功能特征分析。
Nucleic Acids Res. 2021 Jan 8;49(D1):D605-D612. doi: 10.1093/nar/gkaa1074.
8
The overlap between irritable bowel syndrome and organic gastrointestinal diseases.肠易激综合征与器质性胃肠道疾病的重叠。
Lancet Gastroenterol Hepatol. 2021 Feb;6(2):139-148. doi: 10.1016/S2468-1253(20)30212-0. Epub 2020 Nov 13.
9
5-Hydroxymethylcytosine signature in circulating cell-free DNA as a potential diagnostic factor for early-stage colorectal cancer and precancerous adenoma.循环无细胞 DNA 中的 5-羟甲基胞嘧啶特征作为早期结直肠癌和癌前腺瘤的潜在诊断因子。
Mol Oncol. 2021 Jan;15(1):138-150. doi: 10.1002/1878-0261.12833. Epub 2020 Nov 14.
10
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Lancet Gastroenterol Hepatol. 2020 Oct;5(10):908-917. doi: 10.1016/S2468-1253(20)30217-X. Epub 2020 Jul 20.