Predicting hepatocellular carcinoma outcomes and immune therapy response with ATP-dependent chromatin remodeling-related genes, highlighting MORF4L1 as a promising target.

IF 5.3 2区 医学 Q1 ONCOLOGY Cancer Cell International Pub Date : 2025-01-05 DOI:10.1186/s12935-024-03629-2
Chao Xu, Litao Liang, Guoqing Liu, Yanzhi Feng, Bin Xu, Deming Zhu, Wenbo Jia, Jinyi Wang, Wenhu Zhao, Xiangyu Ling, Yongping Zhou, Wenzhou Ding, Lianbao Kong
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Abstract

Background: Hepatocellular carcinoma (HCC) continues to be a major cause of cancer-related death worldwide, primarily due to delays in diagnosis and resistance to existing treatments. Recent research has identified ATP-dependent chromatin remodeling-related genes (ACRRGs) as promising targets for therapeutic intervention across various types of cancer. This development offers potential new avenues for addressing the challenges in HCC management.

Methods: This study integrated bioinformatics analyses and experimental approaches to explore the role of ACRRGs in HCC. We utilized data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO), applying machine learning algorithms to develop a prognostic model based on ACRRGs' expression. Experimental validation was conducted using quantitative real-time Polymerase Chain Reaction (qRT-PCR), Western blotting, and functional assays in HCC cell lines and xenograft models.

Results: Our bioinformatics analysis identified four key ACRRGs-MORF4L1, HDAC1, VPS72, and RUVBL2-that serve as prognostic markers for HCC. The developed risk prediction model effectively distinguished between high-risk and low-risk patients, showing significant differences in survival outcomes and predicting responses to immunotherapy in HCC patients. Experimentally, MORF4L1 was demonstrated to enhance cancer stemness by activating the Hedgehog signaling pathway, as supported by both in vitro and in vivo assays.

Conclusion: ACRRGs, particularly MORF4L1, play crucial roles in modulating HCC progression, offering new insights into the molecular mechanisms driving HCC and potential therapeutic targets. Our findings advocate for the inclusion of chromatin remodeling dynamics in the strategic development of precision therapies for HCC.

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利用atp依赖性染色质重塑相关基因预测肝癌预后和免疫治疗反应,强调MORF4L1是一个有希望的靶标。
背景:肝细胞癌(HCC)仍然是世界范围内癌症相关死亡的主要原因,主要是由于诊断延误和对现有治疗的耐药性。最近的研究已经确定了atp依赖性染色质重塑相关基因(ACRRGs)作为治疗干预各种类型癌症的有希望的靶点。这一发展为解决HCC管理中的挑战提供了潜在的新途径。方法:本研究结合生物信息学分析和实验方法,探讨ACRRGs在HCC中的作用。我们利用来自癌症基因组图谱(TCGA)和基因表达图谱(GEO)的数据,应用机器学习算法开发基于ACRRGs表达的预后模型。实验验证采用定量实时聚合酶链反应(qRT-PCR), Western blotting和HCC细胞系和异种移植模型的功能测定。结果:我们的生物信息学分析确定了四个关键的ACRRGs-MORF4L1, HDAC1, VPS72和ruvbl2 -作为HCC的预后标志物。所建立的风险预测模型能够有效区分高危和低危患者,在HCC患者的生存结局和免疫治疗应答方面显示出显著差异。实验证明,MORF4L1通过激活Hedgehog信号通路来增强癌症的干细胞性,这一结果得到了体内和体外实验的支持。结论:ACRRGs,特别是MORF4L1,在调节HCC进展中起着至关重要的作用,为HCC驱动的分子机制和潜在的治疗靶点提供了新的见解。我们的研究结果提倡将染色质重塑动力学纳入HCC精确治疗的战略发展中。
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来源期刊
CiteScore
10.90
自引率
1.70%
发文量
360
审稿时长
1 months
期刊介绍: Cancer Cell International publishes articles on all aspects of cancer cell biology, originating largely from, but not limited to, work using cell culture techniques. The journal focuses on novel cancer studies reporting data from biological experiments performed on cells grown in vitro, in two- or three-dimensional systems, and/or in vivo (animal experiments). These types of experiments have provided crucial data in many fields, from cell proliferation and transformation, to epithelial-mesenchymal interaction, to apoptosis, and host immune response to tumors. Cancer Cell International also considers articles that focus on novel technologies or novel pathways in molecular analysis and on epidemiological studies that may affect patient care, as well as articles reporting translational cancer research studies where in vitro discoveries are bridged to the clinic. As such, the journal is interested in laboratory and animal studies reporting on novel biomarkers of tumor progression and response to therapy and on their applicability to human cancers.
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