Evidence map›Paper›PMID 40800173›Full record

ArticleTranslational pediatrics2025

Comprehensive analysis of disulfidoptosis-related genes reveals molecular heterogeneity and key regulators in retinoblastoma progression.

Xiwen Zhang, Li Liu, Yanchen Chen, Yumiao Cheng, Xinru Li, Tianli Pei, Fengmei Zhang

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Article in Translational pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiwen ZhangThe Second Clinical Medical College of Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Li LiuOphthalmology Department, Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou, China.
Yanchen ChenSichuan Eye Hospital, AIER Eye Hospital Group, Chengdu, China.
Yumiao ChengThe Second Clinical Medical College of Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Xinru LiCollege of Integrated Chinese and Western Medicine, Jining Medical University, Jining, China.
Tianli PeiQihuang College of Traditional Chinese Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Fengmei ZhangOphthalmology Department, Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0000-0002-9456-9243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

disulfidoptosisimmune infiltrationmolecular heterogeneityRetinoblastoma

Identifiers

PMID40800173
PMCPMC12336911

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