C-X-C chemokine receptor family genes in osteosarcoma: expression profiles, regulatory networks, and functional impact on tumor progression.

IF 2.5 3区 生物学
Siqi Dong, Han Xu, Xianglei Kong, Yanchang Bai, Xijun Hou, Fei Liu, Yan Xu
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引用次数: 0

Abstract

In this comprehensive study, we explored the molecular landscape C-X-C chemokine receptor (CXCR) family genes (CXCR1, CXCR2, CXCR3, CXCR4, CXCR5, and CXCR7) in osteosarcoma (OS) by scrutinizing the expression profiles and functional implications using Bioinformatics analyses and molecular experiments. We found significant up-regulation of these genes in OS cell lines compared to control cell lines, as assessed by RT-qPCR, with high diagnostic potential demonstrated by receiver operating characteristic (ROC) curve analysis. Cross-validation using the GSE12865 dataset revealed consistent up-regulation of CXCR family genes in OS samples, alongside decreased promoter methylation in tumor samples compared to normal tissues, as confirmed by the UALCAN database. Mutational analysis, conducted using data from 237 OS samples from the cBioPortal database, revealed minimal mutations in CXCR1 and CXCR2, with no alterations in CXCR3, CXCR4, CXCR5, and CXCR7. Copy number variation (CNV) analysis showed some level of amplification in CXCR1 and CXCR2, but no significant alterations in the copy numbers of the other genes. Survival analysis using meta-analysis across multiple independent studies showed that the expression of some CXCR genes were significantly associated with poor patient survival. Further exploration of the transcriptional regulation of CXCR genes using the ENCORI database revealed an intricate miRNA-mRNA network involving miR-130a, miR-146a, miR-155, miR-21, and miR-7, which regulate the expression of these genes. Elevated expression of these miRNAs in OS samples was validated by RT-qPCR, with promising diagnostic potential highlighted by ROC analysis. Additionally, the immunological analysis revealed a positive correlation between the expressions of CXCR genes and immune cell types, including macrophages and T cells, and CXCR genes were found to enhance drug responsiveness in OS patients. Gene enrichment analysis identified critical biological processes and pathways, such as chemokine-mediated signaling and immune response, linked to the CXCR family. Knockdown of CXCR1 in HOS and MG-63 cells confirmed that CXCR1 plays a crucial role in cell proliferation, colony formation, and migration. CXCR1 knockdown significantly reduced cell proliferation and colony formation, while enhancing cell migration, underscoring its functional importance in OS progression. Overall, our findings suggest that the CXCR family genes are potential diagnostic and prognostic markers in OS, with implications for therapeutic targeting and further investigation into their role in OS pathogenesis.

骨肉瘤中的C-X-C趋化因子受体家族基因:表达谱、调控网络和对肿瘤进展的功能影响
在这项全面的研究中,我们通过生物信息学分析和分子实验,探讨了C-X-C趋化因子受体(CXCR)家族基因(CXCR1、CXCR2、CXCR3、CXCR4、CXCR5和CXCR7)在骨肉瘤(OS)中的表达谱和功能意义。我们发现,与对照细胞系相比,这些基因在OS细胞系中显著上调,经RT-qPCR评估,受试者工作特征(ROC)曲线分析显示具有很高的诊断潜力。使用GSE12865数据集进行交叉验证显示,与正常组织相比,肿瘤样本中CXCR家族基因在OS样本中一致上调,同时启动子甲基化降低,这一点得到了UALCAN数据库的证实。利用来自cbiopportal数据库的237个OS样本数据进行的突变分析显示,CXCR1和CXCR2的突变极小,而CXCR3、CXCR4、CXCR5和CXCR7的突变无变化。拷贝数变异(CNV)分析显示,CXCR1和CXCR2基因有一定程度的扩增,而其他基因的拷贝数无明显变化。通过对多个独立研究的荟萃分析,生存分析显示一些CXCR基因的表达与较差的患者生存显著相关。使用ENCORI数据库进一步探索CXCR基因的转录调控揭示了一个复杂的miRNA-mRNA网络,涉及miR-130a, miR-146a, miR-155, miR-21和miR-7,它们调节这些基因的表达。通过RT-qPCR验证了这些mirna在OS样本中的表达升高,ROC分析强调了它们具有良好的诊断潜力。此外,免疫学分析显示CXCR基因的表达与免疫细胞类型(包括巨噬细胞和T细胞)呈正相关,并且发现CXCR基因增强了OS患者的药物反应性。基因富集分析确定了与CXCR家族相关的关键生物学过程和途径,如趋化因子介导的信号传导和免疫反应。在HOS和MG-63细胞中表达CXCR1的下调证实了CXCR1在细胞增殖、集落形成和迁移中起着至关重要的作用。CXCR1敲低显著降低细胞增殖和集落形成,同时增强细胞迁移,强调其在OS进展中的功能重要性。总的来说,我们的研究结果表明,CXCR家族基因是OS的潜在诊断和预后标志物,对治疗靶向和进一步研究其在OS发病机制中的作用具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Hereditas
Hereditas Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍: For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.
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