ArticleWorld journal of gastroenterology2020
Development and validation of a three-long noncoding RNA signature for predicting prognosis of patients with gastric cancer.
Article in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Establishment of a Prognostic Necroptosis-Related lncRNA Signature in Ovarian Cancer.Combinatorial chemistry & high throughput screening · 2026Article
- Identification of a Novel Pyroptosis-Related lncRNAs Prognosis Model and Subtypes in Ovarian Cancer.Phenomics (Cham, Switzerland) · 2025Article
- Development of an immunogenic cell death-related lncRNAs signature for prognostic risk assessment in gastric cancer.Translational cancer research · 2024Article
- Derivation, Comprehensive Analysis, and Assay Validation of a Pyroptosis-Related lncRNA Prognostic Signature in Patients With Ovarian Cancer.Frontiers in oncology · 2022Article
- N7-methylguanosine-related lncRNAs: Predicting the prognosis and diagnosis of colorectal cancer in the cold and hot tumors.Frontiers in genetics · 2022Article
- Necroptosis-associated long noncoding RNAs can predict prognosis and differentiate between cold and hot tumors in ovarian cancer.Frontiers in oncology · 2022Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundGastric cancer (GC) is one of the most frequently diagnosed gastrointestinal cancers throughout the world. Novel prognostic biomarkers are required to predict the prognosis of GC.
aimTo identify a multi-long noncoding RNA (lncRNA) prognostic model for GC.
methodsTranscriptome data and clinical data were downloaded from The Cancer Genome Atlas. COX and least absolute shrinkage and selection operator regression analyses were performed to screen for prognosis associated lncRNAs. Receiver operating characteristic curve and Kaplan-Meier survival analyses were applied to evaluate the effectiveness of the model.
resultsThe prediction model was established based on the expression of AC007991.4, AC079385.3, and AL109615.2 Based on the model, GC patients were divided into "high risk" and "low risk" groups to compare the differences in survival. The model was re-evaluated with the clinical data of our center.
conclusionThe 3-lncRNA combination model is an independent prognostic factor for GC.
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