背景:肝细胞癌(HCC)是全球癌症相关死亡的主要原因,特点是血管生成和免疫逃避率很高。旁斑基因,参与基因调控和RNA代谢,最近与肿瘤进展有关。本研究旨在阐明旁斑基因与HCC预后的关系。专注于SFPQ,DDX39B,UBAP2
方法:我们分析了来自TCGA数据库的HCC(LIHC)和前列腺癌(PRAD)样本,以探索旁斑基因与血管生成之间的相关性。我们进行了无监督聚类,风险评分,和生存分析,以确定不同的患者组及其临床结局。基因表达数据用于进行差异分析和基因本体论(GO)富集。
结果:我们的分析发现,在多种癌症类型中,旁斑基因与血管生成之间存在显著的相关性。SFPQ的表达水平升高,DDX39B,UBAP2与HCC患者的不良预后相关,所有这些都具有统计学意义。基于旁斑基因表达的HCC样本的无监督聚类揭示了两个不同的聚类,高危患者表现出较强的免疫抑制和肿瘤免疫逃避。GO富集强调了与血管生成和免疫调节相关的关键途径。此外,基于这些基因的风险评分模型有效区分了高风险和低风险患者组,提供有价值的预后见解。
结论:这项研究表明,SFPQ,DDX39B,和UBAP2与HCC的不良预后显着相关,可能是由于它们在促进血管生成和免疫抑制中的作用。这些发现突出了旁斑基因作为预后生物标志物和治疗靶标的潜力。为肝癌个性化治疗策略提供新的途径。进一步研究其功能机制和临床适用性对于推进HCC治疗和改善患者预后至关重要。
BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, characterized by high rates of angiogenesis and immune evasion. Paraspeckle genes, involved in gene regulation and RNA metabolism, have recently been linked to tumor progression. This study aims to elucidate the relationship between paraspeckle genes and HCC prognosis, focusing on SFPQ, DDX39B, and
UBAP2.
METHODS: We analyzed HCC (LIHC) and prostate cancer (PRAD) samples from the TCGA database to explore the correlation between paraspeckle genes and angiogenesis. We conducted unsupervised clustering, risk scoring, and survival analysis to identify distinct patient groups and their clinical outcomes. Gene expression data were used to perform differential analysis and Gene Ontology (GO) enrichment.
RESULTS: Our analysis identified significant correlations between paraspeckle genes and angiogenesis across multiple cancer types. Elevated expression levels of SFPQ, DDX39B, and
UBAP2 were associated with poor prognosis in HCC patients, and all of them has statistical significance. Unsupervised clustering of HCC samples based on paraspeckle gene expression revealed two distinct clusters, with high-risk patients exhibiting stronger immune suppression and tumor immune evasion. GO enrichment highlighted critical pathways related to angiogenesis and immune regulation. Additionally, a risk scoring model based on these genes effectively distinguished high-risk and low-risk patient groups, providing valuable prognostic insights.
CONCLUSIONS: This study demonstrates that SFPQ, DDX39B, and
UBAP2 are significantly associated with poor prognosis in HCC, likely due to their roles in promoting angiogenesis and immune suppression. These findings highlight the potential of paraspeckle genes as prognostic biomarkers and therapeutic targets, offering new avenues for personalized treatment strategies in HCC. Further research into their functional mechanisms and clinical applicability is crucial for advancing HCC treatment and improving patient outcomes.