ArticleHeliyon2024
Identification of a novel apoptosis-related genes signature to improve gastric cancer prognosis prediction.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- UPP1 in Cancer: Context-Dependent Roles in Metabolic Adaptation and Treatment Response.Current issues in molecular biology · 2026Review
- Mechanistic Insights into the Action of Histamine-Functionalized PLA Nanoparticles Loaded with 5-Fluorouracil Against Gastric Cancer CellsMolecules (Basel, Switzerland) · 2026Article
- Correlation between dyslipidaemia and gastric cancer: pathogenesis to prevention and treatment strategies.Lipids in health and disease · 2025Review
- A Study of the Effectiveness of Apoptosis Biomarkers in the Diagnosis of Gastric Cancer in Kazakhstan: A Review of Systematic Evidence.Medical journal of the Islamic Republic of Iran · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dysregulation of apoptosis occurs in different types of malignant tumors and is likely to influence the tumor evolution, as well as clinical prognosis. However, the limited number of studies investigating the predictive power of apoptosis-related genes (ARGs) in gastric cancer indicates a gap in the current research. 174 ARGs who differentially expressed were screened using public databases, including the Gene Expression Omnibus and the Molecular Signatures Database. Univariate and LASSO regression analyses were rigorous approaches to recognize the 12 optimal genes (
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Registered trials
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