ArticleFrontiers in oncology2022
A four oxidative stress gene prognostic model and integrated immunity-analysis in pancreatic adenocarcinoma.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 20 citations in OpenAlex.
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- Multiple machine learning algorithms construct cuproptosis genes and oxidative stress genes-related LncRNAs signature with prognostic and therapeutic relevance in ovarian cancer.Genes & genomics · 2026Article
- HIF3A-mediated aberrant activation of TXNIP promotes Alzheimer's disease progression.Scientific reports · 2026Article
- Multi-omics and machine learning identify FN1 and ALDH2 as diagnostic biomarkers and therapeutic targets in early and late diabetic kidney disease.Renal failure · 2025Article
- Effects of Oxidative Stress Gene Protein, Expression, and DNA Methylation on Multiple Sclerosis: A Multi-Omics Mendelian Randomized Study.Brain and behavior · 2025Article
- Oxidative stress mediated by the NOX2/ROS/NF-κB signaling axis is involved in rosacea.Archives of dermatological research · 2025Article
- Identifying Therapeutic Targets and Potential Drugs for Diabetic Retinopathy: Focus on Oxidative Stress and Immune Infiltration.Journal of inflammation research · 2025Article
- Mitochondria-target ubiquinone attenuates bleomycin-induced pulmonary fibrosis.Frontiers in pharmacology · 2025Article
- Single-cell RNA-seq Reveals the Inhibitory Effect of Methamphetamine on Liver Immunity with the Involvement of Dopamine Receptor D1.Genomics, proteomics & bioinformatics · 2024Article
- The role of GDF15 in attenuating noise-induced hidden hearing loss by alleviating oxidative stress.Cell biology and toxicology · 2024Article
- Review
- A Risk Score Based on Immune- and Oxidative Stress-Related LncRNAs Predicts Prognosis in Lung Adenocarcinoma: Insights from in vitro Experiments and Large-Scale Transcriptome Analysis.Journal of inflammation research · 2024Article
- Inhibition of CISD2 enhances sensitivity to doxorubicin in diffuse large B-cell lymphoma by regulating ferroptosis and ferritinophagy.Frontiers in pharmacology · 2024Article
- Redox Signaling Modulates Activity of Immune Checkpoint Inhibitors in Cancer Patients.Biomedicines · 2023Review
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and aims: Pancreatic adenocarcinoma (PAAD) is highly aggressive and characterized by a poor prognosis. Oxidative stress has great impacts on the occurrence and development of tumors. However, the predictive role of oxidative stress related genes on PAAD patients' prognosis remains unclear. In this study, we aimed to construct a prognostic model for PAAD based on oxidative stress genes and to evaluate its predictive value. Methods: The Cancer Genome Atlas (TCGA) and three Gene Expression Omnibus (GEO) datasets were used to identify differentially expressed oxidative stress genes. Univariate Cox regression, Kaplan-Meier and multivariate Cox regression analysis were used to select genes and to construct a prognosis model. According to the median value of the model's risk score, patients were divided into high and low risk groups, and gene set enrichment analysis (GSEA), immune infiltration and immunotherapy effect, drug resistance and the expression of immune checkpoint related genes and synthetic driver genes of T cell proliferation were analyzed. Finally, the mRNA and protein levels of four genes in PAAD were verified by the clinical proteomic tumor analysis consortium (CPTAC) database and the immunostaining of patients' tissue. Results: 55 differentially expressed oxidative stress genes were identified, and four genes including MET, FYN, CTTN and CDK1 were selected to construct a prognosis model. GESA indicated that immune related pathways, metabolic pathways and DNA repair pathways were significantly enriched in the high risk group as compared to the low risk group. The frequency of genetic mutations was also significantly higher in high risk groups than that in low risk groups. Moreover, the infiltration level of 23 immune cells as well as the expression of immune checkpoint related and synthetic driver genes of T cell proliferation were significantly altered, with the better immunotherapy effect occurring in low risk group. In patient PAAD tissues, the mRNA and protein levels of these four genes were up-regulated. Conclusion: We have successfully constructed a four oxidative stress gene prognostic model that has important predictive value for PAAD patients, and this model might be a promising guidance for prognostic prediction and efficacy monitoring in clinical individualized therapy.
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