ArticleJournal of cancer research and clinical oncology2023
Integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Nuclear PML expression as a prognostic biomarker in localised clear cell renal cell carcinoma.BJUI compass · 2026Article
- [Research Progress on the Role and Mechanisms of PYCR1 in Tumorigenesis and Progression].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Review
- The key enzyme PYCR1 in proline metabolism: a dual driver of cancer progression and fibrotic remodeling.Journal of enzyme inhibition and medicinal chemistry · 2025Review
- Exploration of oxidative stress-related molecular signature for clear cell renal cell carcinoma.Discover oncology · 2025Article
- Multimodal deep learning framework integrating multiphase CT and histopathological whole slide imaging for predicting recurrence in ccRCC.Scientific reports · 2025Article
- Proline Metabolism in Cancer: Emerging Roles in Redox Homeostasis and Therapeutic Opportunities.Cancers · 2025Review
- Comprehensive analysis of breast cancer oxidative stress related gene signature: a combination of bulk and single-cell RNA sequencing analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- The Role of Redox Environment in Tumors.Current medicinal chemistry · 2025Review
- Development of a Prognostic Risk Model Based on Oxidative Stress-related Genes for Platinum-resistant Ovarian Cancer Patients.Recent patents on anti-cancer drug discovery · 2025Article
- PML restrains p53 activity and cellular senescence in clear cell renal cell carcinoma.EMBO molecular medicine · 2024Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPatients with clear cell renal cell carcinoma (ccRCC), which is the most commonly diagnosed subtype of renal cell carcinoma, are at risk of tumor metastasis and recrudescence. Previous research has shown that oxidative stress can induce tumorigenesis in many cancers and can be a target of cancer treatment. Despite these findings, little progress has been made understanding in the association of oxidative stress-related genes (OSRGs) with ccRCC.
methodsIn vitro experiments were conducted with MTT survival assays, qRT‒PCR, apoptosis assays, cell cycle assays, ROS assays, and IHC staining.
resultsIn our study, 12 differentially expressed oxidative stress-related genes (DEOSGs) and related transcription factors (TFs) that are relevant to overall survival (OS) were screened, and their mutual regulatory networks were constructed with data from the TCGA database. Moreover, we constructed a risk model of these OSRGs and performed clinical prognostic analysis and validation. Next, we performed protein-protein interaction (PPI) network analysis and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of MELK, PYCR1, and PML. A tissue microarray also verified the high expression of MELK and PYCR1 in ccRCC. Finally, in vitro cellular experiments demonstrated that knockdown of MELK or PYCR1 significantly inhibited ccRCC cell proliferation by causing cell apoptosis and inducing cell cycle arrest in the G1 phase. Intracellular ROS levels were elevated after these two genes were knocked down.
conclusionOur results revealed the potential DEORGs to be used in ccRCC prognostic prediction and identified two biomarkers, named PYCR1 and MELK, which regulated the proliferation of ccRCC cells by affecting ROS levels. Furthermore, PYCR1 and MELK could be promising targets for predicting the progression and prognosis of ccRCC, thereby serving as new targets for medical treatments.
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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.