ArticleWorld journal of gastrointestinal oncology2024
Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis.
Article in World journal of gastrointestinal oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global research landscape of ferroptosis in gastric cancer: a multidisciplinary bibliometric analysis based on multiple databases (2017-2025).Frontiers in immunology · 2025Pooled it
- Ferroptosis and Ferroptosis-related autophagy: new therapeutic targets for gastric cancer.American journal of cancer research · 2026Review
- Targeting metalloptosis in tumor therapy: from molecular mechanisms to application of metal nanoparticles.Molecular cancer · 2025Review
- Catechin promotes endoplasmic reticulum stress-mediated gastric cancer cell apoptosis via NOX4-induced reactive oxygen species.Molecular and cellular biochemistry · 2025Article
- New Insights into Aspirin's Anticancer Activity: The Predominant Role of Its Iron-Chelating Antioxidant Metabolites.Antioxidants (Basel, Switzerland) · 2024Review
- Infection of Helicobacter pylori contributes to the progression of gastric cancer through ferroptosis.Cell death discovery · 2024Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer (GC) is a common malignancy of the digestive system. According to global 2018 cancer data, GC has the fifth-highest incidence and the third-highest fatality rate among malignant tumors. More than 60% of GC are linked to infection with
aimTo identify coregulated differentially expressed genes among ferroptosis-related genes (FRGs) in GC patients and develop a ferroptosis-related prognostic model with discrimination ability.
methodsGene expression profiles of GC patients and those with
resultsFour hub genes were identified (
conclusionIn this study, we developed a predictive model based on four FRGs that can accurately predict the prognosis of GC patients and the efficacy of immunotherapy in this population.
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