Integrated Bioinformatic Analysis Reveals the Oncogenic, Survival, and Prognostic Characteristics of TPX2 in Hepatocellular Carcinoma.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Weibin Zhang, Jia Dong, Yunfei Wu, Xiangnan Liang, Lida Suo, Liming Wang
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引用次数: 0

Abstract

Targeting protein for Xenopus kinesin-like protein 2 (TPX2), a well-known mitotic protein, has been linked to carcinogenesis in several cancers. This study investigated the role of TPX2 in hepatocellular carcinoma (HCC) from various aspects using bioinformatic analyses. TPX2 expression and its prognostic value in pan-cancers were analyzed using SangerBox. TPX2 expression and its association with prognosis, immune infiltration, tumor mutations, and signaling pathways in HCC were analyzed using UALCAN, BoxKaplan-Meier Plotter, GEPIA, Human Protein Atlas, TIMER 2.0, and SangerBox. Genes co-expressed with TPX2 in HCC were analyzed using the HCCDB database, followed by functional enrichment using SangerBox. Clinical predictive models were established based on TPX2 and its co-expressed genes using the ACLBI database. TPX2 expression significantly increased in pan-cancers and was associated with survival in nearly half of the cancer types. High TPX2 expression has been linked to poor survival outcomes in patients with HCC. TPX2 expression was positively correlated with abundant infiltration of immune cells (including B cells, CD4 + /CD8 + T cells, macrophages, neutrophils, and dendritic cells), TP53 mutation, and carcinogenesis-related pathways, such as the PI3K/AKT/mTOR pathway, cellular response to hypoxia, and tumor proliferation signature. Nineteen genes were found to be co-expressed with TPX2 in HCC, and these genes showed close positive correlations and were mainly implicated in cell cycle-related functions. A prognostic model established using TPX2 and its expressed genes could stratify HCC patients into high- and low-risk groups, with a significantly shorter survival time in high-risk groups. The prognostic model performed well in predicting 1-, 3-, and 5-year survival of patients with HCC, with areas under the curve of 0.801, 0.725, and 0.711, respectively. TPX2 functions as an oncogene in HCC, and its high expression is detrimental to the survival of patients with HCC. Thus, TPX2 may be a prognostic biomarker and potential therapeutic target for HCC.

Abstract Image

综合生物信息学分析揭示肝细胞癌中 TPX2 的致癌、生存和预后特征
章鱼驱动蛋白样蛋白 2 的靶向蛋白(TPX2)是一种著名的有丝分裂蛋白,在多种癌症中与癌变有关。本研究利用生物信息学分析从多方面研究了 TPX2 在肝细胞癌(HCC)中的作用。使用 SangerBox 分析了泛癌中 TPX2 的表达及其预后价值。利用 UALCAN、BoxKaplan-Meier Plotter、GEPIA、Human Protein Atlas、TIMER 2.0 和 SangerBox 分析了 TPX2 的表达及其与 HCC 的预后、免疫浸润、肿瘤突变和信号通路的关系。使用 HCCDB 数据库分析与 TPX2 共同表达的 HCC 基因,然后使用 SangerBox 进行功能富集。利用 ACLBI 数据库根据 TPX2 及其共表达基因建立了临床预测模型。TPX2的表达在泛癌症中明显增加,并与近一半癌症类型的生存率相关。TPX2的高表达与HCC患者的不良生存结果有关。TPX2的表达与免疫细胞(包括B细胞、CD4 + /CD8 + T细胞、巨噬细胞、中性粒细胞和树突状细胞)的大量浸润、TP53突变和癌变相关通路(如PI3K/AKT/mTOR通路、细胞对缺氧的反应和肿瘤增殖特征)呈正相关。研究发现,有19个基因与TPX2在HCC中共同表达,这些基因显示出密切的正相关性,主要与细胞周期相关功能有关。利用TPX2及其表达基因建立的预后模型可将HCC患者分为高危和低危两组,高危组中患者的生存时间明显缩短。该预后模型在预测 HCC 患者的 1 年、3 年和 5 年生存率方面表现良好,曲线下面积分别为 0.801、0.725 和 0.711。TPX2 在 HCC 中起着癌基因的作用,它的高表达不利于 HCC 患者的生存。因此,TPX2可能是HCC的预后生物标志物和潜在治疗靶点。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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