TSPOAP1-AS1:宫颈癌预后和治疗靶点的新生物标志物

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2025-01-13 DOI:10.2174/0113862073355878241117153320
Jinyuan Li, Zhen Ye, Yuhong Gan, Dongbing Li, Yibiao Chen
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引用次数: 0

摘要

背景:TSPOAP1反义RNA 1 (TSPOAP1- as1)是一种长链非编码RNA (lncRNA),近年来在肿瘤学研究中受到广泛关注。它在某些癌症中的作用和机制已逐渐被揭示。然而,TSPOAP1-AS1在宫颈癌(CESC)中的作用尚不清楚。目的:本研究通过生物信息学分析和实验验证,探讨TSPOAP1-AS1与CESC的关系。方法:采用统计学方法,结合The Cancer Genome Atlas数据库,评价CESC患者的临床特征与TSPOAP1-AS1表达、预后因素、调控网络、免疫浸润与TSPOAP1-AS1的关系。采用实时定量反转录PCR检测CESC细胞系中TSPOAP1-AS1、miR-17-5p和AGFG2的表达。结果:CESC患者TSPOAP1-AS1表达明显降低。CESC患者TSPOAP1-AS1低表达与临床分期(p < 0.05)、体重(p < 0.05)、BMI (p < 0.05)有显著相关性。CESC患者中TSPOAP1-AS1的低表达与较差的总生存期(OS) (p = 0.014)和疾病特异性生存期(DSS) (p = 0.030)相关。CESC患者TSPOAP1- AS1高表达与DSS也有独立相关性(p = 0.036)。TSPOAP1-AS1参与核糖体、氧化磷酸化、抗原加工和递呈、细胞粘附分子(CAMs)、趋化因子信号通路、神经活性配体-受体相互作用和原发性免疫缺陷。免疫细胞浸润与TSPOAP1-AS1表达相关。在CESC中构建了TSPOAP1-AS1/miR-17-5p/AGFG2的ceRNA网络。在CESC中,成功建立了涉及TSPOAP1-AS1/miR-17-5p/AGFG2的ceRNA网络。将CESC细胞系与HcerEpic进行比较,TSPOAP1-AS1和AGFG2的表达明显降低,miR-17-5p的表达明显升高。结论:在CESC患者中,TSPOAP1-AS1低表达与生存差和免疫浸润有关。将TSPOAP1-AS1作为CESC预后的生物标志物和治疗靶点可能有效。
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TSPOAP1-AS1: A Novel Biomarker for the Prognosis and Therapeutic Target in Cervical Cancer.

Background: TSPOAP1 antisense RNA 1 (TSPOAP1-AS1) is a long non-coding RNA (lncRNA) that has received widespread attention in oncology research in recent years. Its role and mechanism in some cancers have gradually been revealed. However, it is not clear what role TSPOAP1-AS1 plays in cervical cancer (CESC).

Objective: In this study, bioinformatic analysis and experimental validation were carried out to investigate the relationship between TSPOAP1-AS1 and CESC.

Methods: The relationships between clinical characteristics in patients with CESC, TSPOAP1-AS1 expression, prognostic factors, regulation network, and immune infiltration of TSPOAP1-AS1 were evaluated using statistics and The Cancer Genome Atlas database. Real-Time Quantitative Reverse Transcription PCR was used to test TSPOAP1-AS1, miR-17-5p, and AGFG2 expression in CESC cell lines.

Results: CESC patients exhibited markedly reduced expression of TSPOAP1-AS1. There was a significant correlation between low expression of TSPOAP1-AS1 in CESC patients and the clinical stage (p < 0.05), weight (p < 0.05), and BMI (p < 0.05). Lower expression of TSPOAP1-AS1 in patients with CESC was associated with poorer overall survival (OS) (p = 0.014) and disease-specific survival (DSS) (p = 0.030). There was also an independent correlation between high expression of TSPOAP1- AS1 (p = 0.036) and DSS in patients with CESC. TSPOAP1-AS1 was involved in the ribosome, oxidative phosphorylation, antigen processing and presentation, cell adhesion molecules (CAMs), the chemokine signaling pathway, neuroactive ligand-receptor interaction, and primary immunodeficiencies. The infiltration of immune cells and the expression of TSPOAP1-AS1 were found to be correlated. A ceRNA network of TSPOAP1-AS1/miR-17-5p/AGFG2 was constructed in CESC. In CESC, a ceRNA network involving TSPOAP1-AS1/miR-17-5p/AGFG2 was successfully established. When comparing CESC cell lines with HcerEpic, the expression of TSPOAP1-AS1 and AGFG2 decreased significantly, and the expression of miR-17-5p increased significantly.

Conclusion: In CESC patients, low expression of TSPOAP1-AS1 was associated with poor survival and immune infiltration. It may be effective to use TSPOAP1-AS1 as a biomarker of prognosis and therapeutic target in CESC.

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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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