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Abstract

Introduction

Ovarian cancer (OC), characterized by high mortality and lacking early diagnostic markers, poses a significant health threat. This study investigated the expression of metabolic reprogramming and circadian rhythm-related genes (MRCRRGs) in OC and their association with clinical features.

Methods

OC datasets and MRCRRG lists were sourced from TCGA, GEO, and GeneCards. Comprehensive bioinformatics analyses included calculating Metabolic Reprogramming and Circadian Rhythm Scores (MRCR.Score), identifying MRCR score-related genes (MRCRSRGs), building a Cox regression model, performing clustering for subtype identification, analyzing immune cell infiltration and immune checkpoint gene expression, conducting differential expression analysis, and performing Gene Set Enrichment Analysis (GSEA).

Results

We identified 138 MRCRRGs. MRCR. Score differed significantly between OC and controls. Thirty-four MRCRSRGs were identified, and a Cox model based on four genes was developed. Clustering revealed two distinct OC subtypes with significant overall survival differences. Immune infiltration analysis showed significant expression differences in 26 immune cell types, and immune checkpoint genes differed between subtypes. Differential expression identified 89 genes (88 upregulated, 1 downregulated). A six-gene predictive model demonstrated moderate accuracy. GSEA revealed significant enrichment of key pathways, notably Fcgr3a-mediated IL-10 synthesis.

Discussion

Findings demonstrate strong links between MRCRRGs, OC subtypes, patient survival, and the tumor immune microenvironment. Enrichment of pathways like Fcgr3a-mediated IL10 synthesis suggests novel OC mechanisms. Reliant on bioinformatics, the study provides insights into OC heterogeneity.

Conclusion

This study establishes a foundation for understanding MRCRRG molecular mechanisms in OC. The identified subtypes, prognostic model, immune landscape alterations, and enriched pathways offer valuable insights for future experimental validation and potential diagnostic/therapeutic strategies.

© 2026 The Author(s). Published by Bentham Science Publishers.
This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
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2026-01-15
2026-02-21

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Novel Metabolic Reprogramming and Circadian Rhythm Related Molecular Subtyping and Prognostic Signature for Ovarian Cancer
Bentham Science Publishers ; https://doi.org/10.2174/0109298673392695251124162548
/content/journals/cmc/10.2174/0109298673392695251124162548
/content/journals/cmc/10.2174/0109298673392695251124162548
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  • Article Type:     Research Article
Keywords: galactose ; ovarian cancer ; circadian rhythm ; metabolic reprogramming ; T helper cell ; genes

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