Abstract:
Introduction: Increased Actin-like 6A (ACTL6A) expression is associated with various cancers, but its comprehensive investigation across different malignancies is lacking. We aimed to analyze ACTL6A as a potential oncogene and therapeutic target using bioinformatics tools. Methods: We comprehensively analyzed ACTL6A expression profiles across human malignancies, focusing on correlations with tumor grade, stage, metastasis, and patient survival. Genetic alterations were examined, and the epigenetic landscape of ACTL6A was assessed using rigorous methods. The impact of ACTL6A on immune cell infiltration in the tumor microenvironment was evaluated, along with molecular docking studies and machine learning models. Results: Our analysis revealed elevated ACTL6A expression in various tumors, correlating with poor prognostic indicators such as tumor grade, stage, metastasis, and patient survival. Genetic mutations and epigenetic modifications were identified, along with associations with immune cell infiltration and key cellular pathways. Machine learning models demonstrated ACTL6A\'s potential for cancer detection. Discussion: ACTL6A emerges as a promising diagnostic and therapeutic target in cancer, with implications for prognosis and therapy. Our study provides comprehensive insights into its carcinogenic actions, highlighting its potential as both a prognostic indicator and a target for anti-cancer therapy. This integrative approach enhances our understanding of ACTL6A\'s role in cancer pathogenesis and treatment.
摘要:
简介:肌动蛋白样6A(ACTL6A)表达增加与各种癌症有关,但缺乏对不同恶性肿瘤的全面调查。我们旨在利用生物信息学工具分析ACTL6A作为潜在的癌基因和治疗靶标。方法:我们全面分析了人类恶性肿瘤的ACTL6A表达谱,关注与肿瘤分级的相关性,舞台,转移,和病人的生存。检查了遗传改变,并使用严格的方法评估ACTL6A的表观遗传景观。评估了ACTL6A对肿瘤微环境中免疫细胞浸润的影响,以及分子对接研究和机器学习模型。结果:我们的分析显示ACTL6A在各种肿瘤中表达升高,与不良预后指标相关,如肿瘤分级,舞台,转移,和病人的生存。鉴定了基因突变和表观遗传修饰,以及与免疫细胞浸润和关键细胞途径的关联。机器学习模型展示了ACTL6A用于癌症检测的潜力。讨论:ACTL6A成为癌症的一个有前途的诊断和治疗靶点,对预后和治疗有影响。我们的研究提供了对其致癌作用的全面见解,强调其作为预后指标和抗癌治疗靶点的潜力。这种综合方法增强了我们对ACTL6A在癌症发病机制和治疗中的作用的理解。