ZFC3H1 as an Indicator of Poor Prognosis in Hepatocellular Carcinoma: Bioinformatic Analysis and Experimental Verification.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2024-08-02 DOI:10.2174/0113862073317938240729055626
Jiaxin Zhao, Cheng Wang, Rui Wu, Zheyu Fang, Rui Dong, Jie Zhou, Zhenhua Hu
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Abstract

Background: Zinc finger C3H1-type containing (ZFC3H1) might regulate RNA processes. However, research lacks the prognostic value of ZFC3H1 in hepatocellular carcinoma (HCC).

Methods: The study analyzed ZFC3H1 expression in HCC cells and its correlation with patient prognosis using transcriptomics, immunohistochemistry, and quantitative real-time reverse transcription PCR, as well as single-cell RNA expression data. Additionally, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were used to investigate the potential ZFC3H1-related cellular functions and signaling pathways. The impact of ZFC3H1 expression on the tumor microenvironment and tumor mutational burden (TMB) was assessed using the ESTIMATE algorithm. Cell-based assays, including cell counting kit 8, proliferation, colony formation, cell cycle, wound healing, and Transwell assays, were conducted to evaluate the influence of ZFC3H1 on hepatocellular carcinoma proliferation and migration.

Results: ZFC3H1 is upregulated in HCC and linked to tumor progression. High ZFC3H1 expression is a prognostic risk factor for HCC, according to Kaplan-Meier and Cox regression analyses. ESTIMATE analysis suggested that ZFC3H1 reduces immune cell infiltration and increases the TMB. Patients with low ZFC3H1 expression might respond better to immunotherapy. High ZFC3H1 expression is associated with increased half-maximal inhibitory concentration (IC50) of sorafenib. Functional experiments demonstrated that reducing ZFC3H1 expression inhibited HCC cell proliferation and migration.

Conclusion: ZFC3H1 is upregulated in HCC, promoting the proliferation and migration of liver cancer cells, impacting the prognosis of HCC patients and the effectiveness of immunotherapy. ZFC3H1 might serve as a therapeutic target and biomarker for HCC.

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作为肝细胞癌不良预后指标的 ZFC3H1:生物信息学分析与实验验证
背景:含锌手指 C3H1 型(ZFC3H1)可能调控 RNA 过程。然而,研究缺乏对 ZFC3H1 在肝细胞癌(HCC)中预后价值的研究:研究采用转录组学、免疫组化、定量实时逆转录 PCR 以及单细胞 RNA 表达数据分析了 ZFC3H1 在 HCC 细胞中的表达及其与患者预后的相关性。此外,研究人员还利用基因本体和京都基因组百科全书的富集分析来研究与ZFC3H1相关的潜在细胞功能和信号通路。利用ESTIMATE算法评估了ZFC3H1表达对肿瘤微环境和肿瘤突变负荷(TMB)的影响。为了评估ZFC3H1对肝细胞癌增殖和迁移的影响,研究人员进行了基于细胞的实验,包括细胞计数试剂盒8、增殖、集落形成、细胞周期、伤口愈合和Transwell实验:结果:ZFC3H1在HCC中上调,并与肿瘤进展相关。根据 Kaplan-Meier 和 Cox 回归分析,ZFC3H1 高表达是 HCC 的预后风险因素。ESTIMATE分析表明,ZFC3H1可减少免疫细胞浸润并增加TMB。ZFC3H1 低表达的患者可能对免疫疗法反应更好。ZFC3H1的高表达与索拉非尼的半数最大抑制浓度(IC50)增加有关。功能实验表明,降低ZFC3H1的表达可抑制HCC细胞的增殖和迁移:结论:ZFC3H1在HCC中上调,促进肝癌细胞的增殖和迁移,影响HCC患者的预后和免疫治疗的效果。ZFC3H1可作为HCC的治疗靶点和生物标志物。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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