机器学习揭示癌症的非整倍体特征:BEX4的影响。

IF 3.3 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Aizhong Xu, Jianjun Liu, Li Tong, Tingting Shen, Songlin Xing, Yujie Xia, Bosen Zhang, Zihao Wu, Wenkang Yuan, Anhai Yu, Zijie Kan, Wenqi Yang, Chao Zhang, Chong Zhang
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引用次数: 0

摘要

背景:非整倍体在癌症发病机制中至关重要,但尚未得到充分探索。具体而言,脑表达 X 连锁基因 4(BEX4)参与微管形成已被确定为一种潜在的非整倍体机制。然而,BEX4对不同癌症类型的非整倍性发生率的综合影响仍有待探索:方法:根据非整倍体得分将癌症基因组图谱(TCGA)中的患者分为高分组(训练组)和低分组(对照组)。对以BEX4为核心的基因进行Mfuzz表达模式聚类和功能富集,以探索其调控机制。利用多种机器学习技术筛选非整倍体相关基因,从而建立癌症的非整倍体特征亚型。此外,通过整合肿瘤细胞干性获得的程度和一系列免疫特征,研究了多种癌症类型的非整倍体特征。免疫组化和增殖试验主要验证了不同BEX4水平的抗肿瘤作用:功能聚类结果显示,非整倍体与干性在嗜铬细胞肾癌(KICH)和甲状腺癌(THCA)中有显著相关性,而细胞代谢和细胞干性则与干性密切相关。细胞代谢和细胞周期具有关键影响。残差分析表明,随机森林(RF)的筛选效果更佳。以 BEX4 为核心的非整倍体特征基因集经过筛选,构建了一个 Nomogram 模型。BEX4、钙调素调控谱林相关蛋白2(CAMSAP2)和肉豆蔻酰化富丙氨酸蛋白激酶C底物(MARCKS)被确定为非整倍体特征中枢基因。胸腺瘤(THYM)、甲状腺癌(THCA)和嗜铬肾癌(KICH)的分子亚型表明,不同亚型的肿瘤细胞干性存在显著差异。竞争性内源性RNA(ceRNA)-基因网络显示,由hsa-miR-425-5p、hsa-miR-200c-3p等共同调控的枢纽基因调控微管、中心体和微管细胞骨架。此外,在胰腺癌(PAAD)、KICH、肾乳头状细胞癌(KIRP)和肾透明细胞癌(KIRC)中,BEX4的升高是一个重要的保护因素:结论:BEX4、CAMSAP2 和 MARCKS 在微管、中心粒和细胞骨架中特异性表达,影响肿瘤染色体分裂并诱导非整倍体。此外,肿瘤细胞干性的获得与非整倍体的严重程度之间的关系在不同肿瘤类型中存在显著差异,呈现正负相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning Reveals Aneuploidy Characteristics in Cancers: The Impact of BEX4.

Background: Aneuploidy is crucial yet under-explored in cancer pathogenesis. Specifically, the involvement of brain expressed X-linked gene 4 (BEX4) in microtubule formation has been identified as a potential aneuploidy mechanism. Nevertheless, BEX4's comprehensive impact on aneuploidy incidence across different cancer types remains unexplored.

Methods: Patients from The Cancer Genome Atlas (TCGA) were stratified into high-score (training) and low-score (control) groups based on the aneuploidy score. Mfuzz expression pattern clustering and functional enrichment were applied to genes with BEX4 as the core to explore their regulatory mechanisms. Various machine learning techniques were employed to screen aneuploidy-associated genes, after which aneuploidy characteristic subtypes were established in cancers. Moreover, the aneuploidy characteristics across multiple cancer types were investigated by integrating the extent of tumor cell stemness acquisition and a series of immune traits. Immunohistochemistry and proliferation assay mainly verified the anti-tumor effect of different BEX4 level.

Results: Functional clustering results showed that aneuploidy and stemness were significantly associated in kidney chromophobe (KICH) and thyroid carcinoma (THCA). And cell metabolism and cell cycle had key effects. Residual analysis indicates superior screening performance by random forest (RF). An aneuploid feature gene set with BEX4 as the core was screened to construct a Nomogram model. BEX4, calmodulin regulated spectrin associated protein 2 (CAMSAP2), and myristoylated alanine rich protein kinase C substrate (MARCKS) were identified as aneuploidy characteristic hub genes. Molecular subtypes in thymoma (THYM), thyroid carcinoma (THCA), and kidney chromophobe (KICH) showed significant differences in tumor cell stemness among different subtypes. The competitive endogenous RNA (ceRNA)-Genes network revealed that hub genes, co-regulated by hsa-miR-425-5p, hsa-miR-200c-3p, and others, regulate microtubules, centrosomes, and microtubule cytoskeleton. Furthermore, elevated BEX4 emerged as a significant protective factor in Pancreatic adenocarcinoma (PAAD), KICH, kidney renal papillary cell carcinoma (KIRP), and kidney renal clear cell carcinoma (KIRC).

Conclusions: BEX4, CAMSAP2, and MARCKS specifically express in microtubules, centrioles, and cytoskeletons, influencing tumor chromosome division and inducing aneuploidy. Additionally, the relationship between the acquisition of tumor cell stemness and the severity of aneuploidy varies significantly across tumor types, displaying positive and negative correlations.

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