综合分析视网膜母细胞瘤相关基因揭示了视网膜母细胞瘤进展的分子异质性和关键调节因子。

IF 1.7 4区 医学 Q2 PEDIATRICS
Translational pediatrics Pub Date : 2025-07-31 Epub Date: 2025-07-28 DOI:10.21037/tp-2024-596
Xiwen Zhang, Li Liu, Yanchen Chen, Yumiao Cheng, Xinru Li, Tianli Pei, Fengmei Zhang
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引用次数: 0

摘要

背景:二硫光衰是一种新发现的细胞死亡形式,已在许多癌症中进行了研究,但尚未在视网膜母细胞瘤中进行研究。因此,本研究旨在探讨二硫视光相关基因(DRGs)在视网膜母细胞瘤中的作用。方法:从Gene Expression Omnibus数据库中获取三个视网膜母细胞瘤数据集(GSE208143、GSE97508和GSE24673)。鉴定视网膜母细胞瘤中差异表达DRGs (DE-DRGs),并利用机器学习算法筛选关键基因。采用一致聚类分析来确定以双硫光为基础的分子亚型。通过基因集变异分析、单样本基因集富集分析和ESTIMATE检测各亚型的途径和免疫特性。在视网膜母细胞瘤细胞中验证了关键基因的表达,并通过功能实验探讨了其作用。结果:与对照组相比,双硫磷酸钠评分显著降低(p结论:本研究强调DRGs参与视网膜母细胞瘤的进展和分子亚型异质性。EPAS1和SLC7A11可能是视网膜母细胞瘤诊断和治疗的关键靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive analysis of disulfidoptosis-related genes reveals molecular heterogeneity and key regulators in retinoblastoma progression.

Background: Disulfidoptosis, a newly recognised form of cell death, has been studied in many cancers but not in retinoblastoma. Therefore, this study aimed to investigate the role of disulfidoptosis-related genes (DRGs) in retinoblastoma.

Methods: Three retinoblastoma datasets (GSE208143, GSE97508, and GSE24673) were obtained from the Gene Expression Omnibus database. Differentially expressed DRGs (DE-DRGs) in retinoblastoma were identified, and key genes were screened using machine learning algorithms. Consensus cluster analysis was applied to identify the disulfidoptosis-based molecular subtypes. The pathways and immune characteristics of the subtypes were examined via gene set variation analysis, single-sample gene set enrichment analysis, and ESTIMATE. The expression of key genes was validated in retinoblastoma cells, and their roles were explored through functional experiments.

Results: Compared with controls, the disulfidoptosis score was significantly lower (P<0.05) in retinoblastoma, and eight DE-DRGs were identified, suggesting the potential involvement disulfidoptosis in retinoblastoma. Consensus clustering revealed two molecular subtypes (C1 and C2). The C2 subtype exhibited multiple activated oncogenic pathways associated with tumourigenesis, lower infiltration levels of immune cells, lower immune and stromal scores, and reduced immune checkpoint expression. Least absolute shrinkage and selection operator and support vector machine-recursive feature elimination algorithms identified two key down-regulated genes-EPAS1 and SLC7A11-in retinoblastoma. The expression of EPAS1 and SLC7A11 was significantly correlated with oxidative phosphorylation and immune cell infiltration levels. EPAS1 overexpression significantly inhibited the viability, migration, and invasion of retinoblastoma cells and induced their apoptosis (P<0.05). Furthermore, EPAS1 overexpression significantly increased the relative nicotinamide adenine dinucleotide phosphate (NADP)+/reduced NADP (NADPH) ratio in retinoblastoma cells (P<0.05).

Conclusions: This study highlights the involvement of DRGs in retinoblastoma progression and molecular subtype heterogeneity. EPAS1 and SLC7A11 may serve as key targets for the diagnosis and treatment of retinoblastoma.

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来源期刊
Translational pediatrics
Translational pediatrics Medicine-Pediatrics, Perinatology and Child Health
CiteScore
4.50
自引率
5.00%
发文量
108
期刊介绍: Information not localized
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