ZUP1 as a Novel Potential Oncogenic Driver and Prognostic Biomarker in Breast Cancer.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Weimiao Li, Changyou Shan, Shuqun Zhang, Guoxu Zheng
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引用次数: 0

Abstract

Introduction: Breast cancer is one of the main causes of cancer death in women globally. Identifying new predictive markers and therapeutic targets is important for improving patient outcomes. Zinc finger-containing U-rich RNA-binding protein 1 (ZUP1) is an RNA-binding protein containing a zinc finger structure that has not been systematically analyzed in breast cancer research.

Materials and methods: The study used data from 1,231 samples from the Cancer Genome Atlas (TCGA) database. The ZUP1 expression in tumor tissues and normal tissues was compared. Its predictive value was assessed using survival analysis and regression models. Its biological role was explored through gene functional analysis. The immune cell analysis method was used to study the tumor immune environment, and the drug susceptibility database was used to predict drug responses. Predictive models were also built and validated.

Results: ZUP1 expression was significantly higher in breast cancer tissues than in normal tissues. High expression of ZUP1 is related to advanced tumor stage and is an independent indicator of poor survival prognosis in univariate and multivariate analyses. Functional enrichment revealed that ZUP1 is closely linked to cell cycle progression, DNA replication, and the Fanconi anemia (FA) pathway. Immune infiltration analysis demonstrated a significant negative link between ZUP1 levels and the abundance of resting mast cells and activated NK cells. Furthermore, high ZUP1 expression was associated with increased sensitivity to several targeted therapies, including Nutlin-3a and PD-0325901. A clinically applicable nomogram combining ZUP1 expression with key clinical factors (age, stage, T, N, M) was developed to predict 3- and 5-year OS with good calibration and discrimination.

Discussion: Our study identifies ZUP1 as a potential oncogenic factor and a robust independent prognostic biomarker in breast cancer. Its involvement in critical cellular processes and modulation of the tumor immune microenvironment highlights its potential as a novel therapeutic target. Functional experiments, including immunohistochemical staining and CCK8 proliferation assays, further supported the oncogenic role of ZUP1. The established nomogram provides a valuable tool for personalized risk assessment and clinical decision-making.

Conclusion: Our findings suggest that ZUP1 is a novel multifaceted biomarker with significant implications for personalized treatment strategies in breast cancer.

ZUP1作为一种新的潜在致癌驱动因子和乳腺癌预后生物标志物。
导读:乳腺癌是全球妇女癌症死亡的主要原因之一。确定新的预测标记和治疗靶点对于改善患者预后非常重要。含锌指型富u rna结合蛋白1 (ZUP1)是一种含有锌指结构的rna结合蛋白,在乳腺癌研究中尚未得到系统分析。材料和方法:该研究使用了来自癌症基因组图谱(TCGA)数据库的1231个样本的数据。比较ZUP1在肿瘤组织和正常组织中的表达。使用生存分析和回归模型评估其预测价值。通过基因功能分析探讨其生物学作用。利用免疫细胞分析法研究肿瘤免疫环境,利用药敏数据库预测药物反应。还建立了预测模型并进行了验证。结果:ZUP1在乳腺癌组织中的表达明显高于正常组织。ZUP1的高表达与肿瘤分期有关,在单因素和多因素分析中是生存预后差的独立指标。功能富集表明ZUP1与细胞周期进程、DNA复制和Fanconi贫血(FA)途径密切相关。免疫浸润分析表明,ZUP1水平与静止肥大细胞和活化NK细胞的丰度呈显著负相关。此外,ZUP1的高表达与几种靶向治疗的敏感性增加相关,包括Nutlin-3a和PD-0325901。将ZUP1表达与关键临床因素(年龄、分期、T、N、M)相结合,建立临床适用的nomogram (nomogram)图,预测3年和5年OS,具有良好的校准和鉴别性。讨论:我们的研究确定ZUP1是一种潜在的致癌因子,也是乳腺癌中一个强大的独立预后生物标志物。它参与关键的细胞过程和肿瘤免疫微环境的调节,突出了它作为一种新的治疗靶点的潜力。功能实验,包括免疫组化染色和CCK8增殖实验,进一步支持了ZUP1的致癌作用。所建立的nomogram为个性化风险评估和临床决策提供了有价值的工具。结论:我们的研究结果表明,ZUP1是一种新的多方面生物标志物,对乳腺癌的个性化治疗策略具有重要意义。
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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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