ArticleOncoTargets and therapy2018
Development and validation of a prognostic signature for preoperative prediction of overall survival in gastric cancer patients.
Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Improve individual treatment by comparing treatment benefits: cancer artificial intelligence survival analysis system for cervical carcinoma.Journal of translational medicine · 2022Article
- Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system.BMC bioinformatics · 2022Article
- Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma.Computational and structural biotechnology journal · 2022Article
- A Robust Circular RNA-Associated Three-Gene Prognostic Signature for Patients with Gastric Cancer.BioMed research international · 2021Article
- Immune gene prognostic signature for disease free survival of gastric cancer: Translational research of an artificial intelligence survival predictive system.Computational and structural biotechnology journal · 2021Article
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- Junctional Adhesion Molecule-Like Protein Promotes Tumor Progression and MetastasisFrontiers in oncology · 2021Article
- The regulatory roles and potential prognosis implications of long non-coding RNAs in gastric cancer.Histology and histopathology · 2020Review
- Article
- Genome-Wide Identification and Characterization of DNA Methylation and Long Non-Coding RNA Expression in Gastric Cancer.Frontiers in genetics · 2020Article
- KIF15 facilitates gastric cancer via enhancing proliferation, inhibiting apoptosis, and predict poor prognosis.Cancer cell international · 2020Article
- The Edmonton Obesity Staging System Predicts Perioperative Complications and Procedure Choice in Obesity and Metabolic Surgery-a German Nationwide Register-Based Cohort Study (StuDoQ|MBE).Obesity surgery · 2019Article
- MiR-652 serves as a prognostic biomarker in gastric cancer and promotes tumor proliferation, migration, and invasion via targeting RORA.Cancer biomarkers : section A of Disease markers · 2019Article
- Integrated analysis reveals potential long non-coding RNA biomarkers and their potential biological functions for disease free survival in gastric cancer patients.Cancer cell international · 2019Article
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5 authors.
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Abstract
backgroundAs a serious challenge for public health, the prognosis of gastric cancer patients is still poor. The current study aimed to develop and validate a prognostic signature to predict the overall survival of gastric cancer patients. PATIENTS AND
methodsThe dataset in the present study was obtained from The Cancer Genome Atlas database. The present study finally included 343 gastric cancer patients with information on long non-coding RNA (lncRNA) expression and overall survival.
resultsA prognostic model named Eleven-lncRNA signature was constructed according to the expression values of eleven prognostic lncRNA predictors identified by univariate and multivariate Cox regression model. According to time-dependent receiver operating characteristic curves, the Harrell's concordance indexes of Eleven-lncRNA signature were 0.764 (95% CI 0.720-0.808), 0.776 (95% CI 0.732-0.820), and 0.807 (95% CI 0.763-0.851) for 1-year overall survival, 3-year overall survival, and 5-year overall survival respectively in the model group. In the validation group, the Harrell's concordance indexes of Eleven-lncRNA signature were 0.748 (95% CI 0.704-0.792), 0.794 (95% CI 0.750-0.838), and 0.798 (95% CI 0.754-0.842) for 1-year overall survival, 3-year overall survival, and 5-year overall survival respectively. The gastric cancer patients (n=343) in the model group could be stratified into low-risk group (n=171) and high-risk group (n=172) according to the median of Eleven-lncRNA signature score. Kaplan-Meier survival curves showed that the mortality rate in the high-risk group was significantly poorer than that in the low-risk group (
conclusionThe present study constructed and validated a prognostic model named Eleven-lncRNA signature for preoperative individual mortality risk prediction in gastric cancer patients. This Eleven-lncRNA signature can predict the individual mortality risk of gastric cancer patients and is helpful in improving clinical decision making regarding individualized treatment.
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