[Characteristics of Aurora Kinase A-Mediated Tumor Microenvironment in Colorectal Cancer and Mining of Active Compounds From Chinese Herbs].

Q3 Medicine
Mengyao Li, Dongming Hua, Zhiyan Wang, Zhiyi Liu, Hangjun Gong, Yunchuan Sun, Xueqing Hu, Yan Wang
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引用次数: 0

Abstract

Objective: To investigate the effects of Aurora kinase A (AURKA) on the tumor microenvironment of colorectal cancer (CRC) and to predict the active compounds in Chinese herbs that can target AURKA.

Methods: Based on the transcriptomic data and clinical information from 380 CRC tissues and 51 paracancerous tissues in The Cancer Genome Atlas (TCGA) database, the infiltration of different cells in the tumor tissues was analyzed using xCell and the binding of active compounds of Chinese herbs with AURKA was predicted through molecular docking.

Results: The expression of AURKA was significantly upregulated in CRC tissues compared with that in paracancerous tissues (P < 0.05), and CRC patients with high AURKA expression had shorter overall survival. Compared with the AURKA low-expression group, the abundance of macrophages, monocytes, and effector memory CD4+ and CD8+ T cells was significantly downregulated in the AURKA high-expression group (P < 0.05). In addition, the cytotoxicity of T cells was significantly reduced (P < 0.05). Further analysis revealed that AURKA expression was positively correlated with the abundance of myeloid-derived suppressor cells (MDSCs) and the expression levels of their chemokines CXCL2 and CXCL5 (P < 0.05). Genes that were differentially expressed between the AURKA high- and low-expression groups were mainly enriched in monocyte migration, chemokine-induced cellular responses, and other related processes. Chinese herbal compounds, including hesperidin, aristololactam A Ⅱa, anacardic acid, coumestrol, and 17β -estradiol, all showed binding energies to AURKA lower than -1.2 kcal/mol, indicating a certain level of binding stability. Among these Chinese herbal compounds, 17β-estradiol exhibited the best binding stability to AURKA-3UOL.

Conclusion: The high expression of AURKA in CRC tissues suggests a poor clinical prognosis. AURKA can promote the development of a suppressive immune microenvironment in CRC, and 17β-estradiol, an active compound from Chinese herbs, is a potential therapeutic agent targeting AURKA.

【极光激酶a介导的结直肠癌肿瘤微环境特征及中药活性物质的挖掘】。
目的:探讨极光激酶A (Aurora kinase A, AURKA)对结直肠癌(CRC)肿瘤微环境的影响,并预测中草药中可靶向AURKA的活性成分。方法:基于the Cancer Genome Atlas (TCGA)数据库中380例结直肠癌组织和51例癌旁组织的转录组学数据和临床信息,利用xCell软件分析肿瘤组织中不同细胞的浸润情况,并通过分子对接预测中草药活性化合物与AURKA的结合。结果:与癌旁组织相比,AURKA在结直肠癌组织中的表达明显上调(P < 0.05),且AURKA高表达的结直肠癌患者总生存期较短。与AURKA低表达组相比,AURKA高表达组巨噬细胞、单核细胞、效应记忆CD4+、CD8+ T细胞丰度显著下调(P < 0.05)。T细胞的细胞毒性显著降低(P < 0.05)。进一步分析发现,AURKA表达与髓源性抑制细胞(MDSCs)的丰度及其趋化因子CXCL2和CXCL5的表达水平呈正相关(P < 0.05)。AURKA高、低表达组差异表达的基因主要富集在单核细胞迁移、趋化因子诱导的细胞反应等相关过程中。橙皮苷、马兜铃内酰胺AⅡA、心酸、库雌醇、17β -雌二醇对AURKA的结合能均低于-1.2 kcal/mol,具有一定的结合稳定性。其中17β-雌二醇与AURKA-3UOL的结合稳定性最好。结论:AURKA在结直肠癌组织中的高表达提示临床预后不良。AURKA可促进结直肠癌中抑制性免疫微环境的形成,17β-雌二醇是一种潜在的靶向AURKA的治疗药物。
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
四川大学学报(医学版)
四川大学学报(医学版) Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
0.70
自引率
0.00%
发文量
8695
期刊介绍: "Journal of Sichuan University (Medical Edition)" is a comprehensive medical academic journal sponsored by Sichuan University, a higher education institution directly under the Ministry of Education of the People's Republic of China. It was founded in 1959 and was originally named "Journal of Sichuan Medical College". In 1986, it was renamed "Journal of West China University of Medical Sciences". In 2003, it was renamed "Journal of Sichuan University (Medical Edition)" (bimonthly). "Journal of Sichuan University (Medical Edition)" is a Chinese core journal and a Chinese authoritative academic journal (RCCSE). It is included in the retrieval systems such as China Science and Technology Papers and Citation Database (CSTPCD), China Science Citation Database (CSCD) (core version), Peking University Library's "Overview of Chinese Core Journals", the U.S. "Index Medica" (IM/Medline), the U.S. "PubMed Central" (PMC), the U.S. "Biological Abstracts" (BA), the U.S. "Chemical Abstracts" (CA), the U.S. EBSCO, the Netherlands "Abstracts and Citation Database" (Scopus), the Japan Science and Technology Agency Database (JST), the Russian "Abstract Magazine", the Chinese Biomedical Literature CD-ROM Database (CBMdisc), the Chinese Biomedical Periodical Literature Database (CMCC), the China Academic Journal Network Full-text Database (CNKI), the Chinese Academic Journal (CD-ROM Edition), and the Wanfang Data-Digital Journal Group.
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