Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
Genes (Basel). 2023 Mar 15;14(3):723. doi: 10.3390/genes14030723.
We carried out whole transcriptome sequencing (WTS) on the tumor and the matching adjacent normal tissues from five patients having Xp11 translocation renal cell carcinoma (RCC). This was performed in terms of obtaining more understanding of the genomic panorama and molecular basis of this cancer. To examine gene-regulatory networks in XP11 translocation RCC, variance expression analysis was carried out, followed by functional enrichment analysis. Gene Expression Omnibus (GEO) of Xp11 translocation RCC data was used to validate the results. As per inclusion criteria, a total of 1886 differentially expressed mRNAs (DEmRNAs), 56 differentially expressed miRNAs (DEmiRNAs), 223 differentially expressed lncRNAs (DElncRNAs), and 1764 differentially expressed circRNAs (DEcircRNAs) were found. KEGG enrichment study of DEmiRNA, DElncRNA, and DEcircRNA target genes identified the function of protein processing in the endoplasmic reticulum, lysosome, and neutrophil-mediated immunity. Three subnetwork modules integrated from the PPI network also revealed the genes involved in protein processing in the endoplasmic reticulum, lysosome, and protein degradation processes, which may regulate the Xp11 translocation RCC process. The ceRNA complex network was created by Cytoscape, which included three upregulated circRNAs, five upregulated lncRNAs, 24 upregulated mRNAs, and two downregulated miRNAs (hsa-let-7d-5p and hsa-miR-433-3p). The genes as a prominent component of the complex ceRNA network may be key factors in the pathogenesis of Xp11 translocation RCC. Our findings clarified the genomic and transcriptional complexity of Xp11 translocation RCC while also pointing to possible new targets for Xp11 translocation RCC characterization.
我们对 5 例 Xp11 易位肾细胞癌(RCC)患者的肿瘤及匹配的相邻正常组织进行了全转录组测序(WTS)。这是为了更深入地了解这种癌症的基因组全景和分子基础。为了研究 XP11 易位 RCC 的基因调控网络,我们进行了方差表达分析,并进行了功能富集分析。使用基因表达综合数据库(GEO)的 Xp11 易位 RCC 数据验证了结果。根据纳入标准,共发现 1886 个差异表达的 mRNA(DEmRNAs)、56 个差异表达的 miRNA(DEmiRNAs)、223 个差异表达的 lncRNA(DElncRNAs)和 1764 个差异表达的 circRNA(DEcircRNAs)。对 DEmiRNA、DElncRNA 和 DEcircRNA 靶基因的 KEGG 富集研究鉴定出了内质网、溶酶体和中性粒细胞介导的免疫中的蛋白加工功能。从 PPI 网络中集成的三个子网模块也揭示了内质网、溶酶体和蛋白降解过程中涉及的基因,它们可能调节 Xp11 易位 RCC 过程。通过 Cytoscape 创建了 ceRNA 复杂网络,其中包括三个上调的 circRNA、五个上调的 lncRNA、24 个上调的 mRNA 和两个下调的 miRNA(hsa-let-7d-5p 和 hsa-miR-433-3p)。作为复杂 ceRNA 网络的重要组成部分的基因可能是 Xp11 易位 RCC 发病机制的关键因素。我们的研究结果阐明了 Xp11 易位 RCC 的基因组和转录组复杂性,并指出了 Xp11 易位 RCC 特征的可能新靶点。