ArticleDiscover oncology2025
An oxidative stress related gene signature predicts prognosis in cholangiocarcinoma.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Publisher Correction: An oxidative stress related gene signature predicts prognosis in cholangiocarcinoma.Discover oncology · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
backgroundCholangiocarcinoma (CCA) is a malignancy with a poor prognosis and limited effective prognostic markers or therapeutic strategies. This study aims to construct and validate a prognostic risk model based on oxidative stress-related genes (OSRGs) to stratify patient risk and guide individualized treatment for CCA.
methodsUsing data from 66 tumors and 36 control samples obtained from the TCGA and GEO databases, we identified 3,632 differentially expressed genes (DEGs). Intersection with oxidative stress-related genes revealed 122 OSRGs, from which 10 key prognostic genes were selected through univariate Cox and LASSO regression analyses. Model performance was assessed with Kaplan-Meier survival, ROC curve, PCA, and t-SNE analyses. Tumor microenvironment (TME) features, immune cell infiltration, and chemosensitivity to cisplatin and 5-fluorouracil were also evaluated.
resultsThe 10-gene model, including genes like RORA and GRIN2A, effectively distinguished between high- and low-risk groups, with high RORA and GRIN2A expression correlating with improved survival. High-risk groups displayed increased immune and ESTIMATE scores, with significant differences in immune cell infiltration. Chemosensitivity analysis indicated differential responses to various chemotherapeutics in high-risk patients.
conclusionThis OSRG-based model demonstrates strong prognostic potential, stratifying CCA patients by risk and survival outcomes. The model provides insights into personalized treatment strategies, potentially advancing therapeutic interventions for CCA.
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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 Socratic graph.