ArticleAging2024
Single-cell RNA combined with bulk RNA analysis to explore oxidative stress and energy metabolism factors and found a new prostate cancer oncogene
Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- MXRA8, a key palmitoylation-related gene, promotes bladder cancer progression via remodeling tumor microenvironment and predicts poor prognosis.BMC urology · 2026Article
- Nanomedicine Targeting Cancer-Associated Fibroblasts in Prostate Cancer: From Biological Mechanisms to Integrated Theranostic Strategies.International journal of nanomedicine · 2026Review
- ReduXis: A Comprehensive Framework for Robust Event-Based Modeling and Profiling of High-Dimensional Biomedical Data.International journal of molecular sciences · 2025Article
- Matrix Remodeling Associated Genes (MXRAs): structural diversity, functional significance, and therapeutic potential in tumor microenvironments.Discover oncology · 2025Review
- Mendelian randomization combined with single-cell sequencing analysis revealed prognostic genes related to myeloid cell differentiation in prostate cancer and experimental verification.Frontiers in immunology · 2025Article
- Application and new findings of scRNA-seq and ST-seq in prostate cancer.Cell regeneration (London, England) · 2024Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProstate cancer is the most common malignancy among men worldwide, and its diagnosis and treatment are challenging due to its heterogeneity.
methodsIntegrating single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data, we identified two molecular subtypes of prostate cancer based on dysregulated genes involved in oxidative stress and energy metabolism. We constructed a risk score model (OMR) using common differentially expressed genes, which effectively evaluated prostate cancer prognosis.
resultsOur analysis demonstrated a significant correlation between the risk score model and various factors, including tumor immune microenvironment, genomic variations, chemotherapy resistance, and immune response. Notably, patients with low-risk scores exhibited increased sensitivity to chemotherapy and immunotherapy compared to those with high-risk scores, indicating the model's potential to predict patient response to treatment. Additionally, our investigation of
conclusionsOur study highlights the potential of oxidative stress and energy metabolism-related genes as prognostic markers and therapeutic targets in prostate cancer. The integration of scRNA-seq and bulk RNA-seq data enables a better understanding of prostate cancer heterogeneity and promotes personalized treatment development. Additionally, we identified a novel oncogene
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.