ArticleJournal of cancer research and clinical oncology2017
Identification of a prognostic 5-Gene expression signature for gastric cancer.
Article in Journal of cancer research and clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic Review of Prognostic Gene Signature in Gastric Cancer Patients.Frontiers in bioengineering and biotechnology · 2020Pooled it
- Prognostic value of gastric cancer-associated gene signatures: Evidence based on a meta-analysis using integrated bioinformatics methods.Journal of cellular and molecular medicine · 2018Pooled it
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- Landscape of Druggable Molecular Pathways Downstream of Genomic CDH1/Cadherin-1 Alterations in Gastric Cancer.Journal of personalized medicine · 2022Article
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- A 9‑gene expression signature to predict stage development in resectable stomach adenocarcinoma.BMC gastroenterology · 2022Article
- Dysregulated transient receptor potential channel 1 expression and its correlation with clinical features and survival profile in surgical non-small-cell lung cancer patients.Journal of clinical laboratory analysis · 2022Article
- Identification of TGF-β signaling-related molecular patterns, construction of a prognostic model, and prediction of immunotherapy response in gastric cancer.Frontiers in pharmacology · 2022Article
- Bayesian hierarchical lasso Cox model: A 9-gene prognostic signature for overall survival in gastric cancer in an Asian population.PloS one · 2022Article
- A construction and comprehensive analysis of ceRNA networks and infiltrating immune cells in papillary renal cell carcinoma.Cancer medicine · 2021Article
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- Identification of a novel 10 immune-related genes signature as a prognostic biomarker panel for gastric cancer.Cancer medicine · 2021Article
- Identification of novel prognostic biomarkers by integrating multi-omics data in gastric cancer.BMC cancer · 2021Article
- Identification of a Novel Signature Predicting Overall Survival in Head and Neck Squamous Cell Carcinoma.Frontiers in surgery · 2021Article
- An Innovative Prognostic Model Based on Four Genes in Asian Patient with Gastric Cancer.Cancer research and treatment · 2021Article
- Identification of the Novel Methylated Genes' Signature to Predict Prognosis in INRG High-Risk Neuroblastomas.Journal of oncology · 2021Article
- Identification and Validation of a Malignant Cell Subset Marker-Based Polygenic Risk Score in Stomach Adenocarcinoma Through Integrated Analysis of Bulk and Single-Cell RNA Sequencing Data.Frontiers in cell and developmental biology · 2021Article
- Molecular subtyping of glioblastoma based on immune-related genes for prognosis.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeGastric cancer (GC) is a major tumor throughout the world with remaining high morbidity and mortality. The aim is to generate a gene model to assess the prognoses risk of patients with GC.
methodsGene expression profiling of gastric cancer patients, GSE62254 (300 samples) and GSE26253 (432 samples), was downloaded from Gene Expression Omnibus (GEO) database. Univariate survival analysis and LASSO (Least Absolute Shrinkage and Selectionator operator) (1000 iterations) of differentially expressed genes in GSE62254 was assessed using survival and glmnet in R package, respectively. Kaplan-Meier analysis on the clustering algorithm from each regression model was performed to calculate the influence to the prognosis. Random samples in GSE26253 were analyzed in multivariate and univariate survival analysis for one thousand times to calculate statistical stability of each regression model.
resultsA total of 854 Genes were identified differentially expressed in GSE62254, among which 367 Genes were found influencing the prognoses. Six gene clusters were selected with good stability. Hereinto, five or more genes in 11-Gene model, TRPC1, SGCE, TNFRSF11A, LRRN1, HLF, CYS1, PPP1R14A, NOV, NBEA, CES1 and RGN, was available to evaluate the prognostic risk of GC patients in GSE26253 (P = 0.00445). The validity and reliability was validated.
conclusionIn conclusion, we successfully generated a stable 5-Gene model, which could be utilized to predict prognosis of GC patients and would contribute to postoperational treatment and follow-up strategies.
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