ArticleCancer cell international2021
A signature of seven immune-related genes predicts overall survival in male gastric cancer patients.
Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Use of machine learning-based integration to develop an immune-related signature for improving prognosis in patients with gastric cancer.Scientific reports · 2023Trial
- [Multi-omics integration deciphers immune-metabolic heterogeneity in colorectal cancer: a prognostic model and therapeutic strategies targeting ANGPTL4/FABP4/RBP7].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- ITPG: an immune-related transcriptomic predictive model for gastric cancer prognosis.Translational cancer research · 2026Article
- Identification of prognostic genes associated with tolerogenic dendritic cells in gastric cancer based on transcriptomic data.PloS one · 2026Article
- Development and verification of a manganese metabolism- and immune-related genes signature for prediction of prognosis and immune landscape in gastric cancer.Frontiers in immunology · 2024Article
- A novel immune score model predicting the prognosis and immunotherapy response of breast cancer.Scientific reports · 2023Article
- A novel immune-related lncRNA pair signature for prognostic prediction and immune response evaluation in gastric cancer: a bioinformatics and biological validation study.Cancer cell international · 2022Article
- Models for Predicting Response to Immunotherapy and Prognosis in Patients with Gastric Cancer: DNA Damage Response Genes.BioMed research international · 2022Article
- Molecular Typing of Gastric Cancer Based on Invasion-Related Genes and Prognosis-Related Features.Frontiers in oncology · 2022Article
- HIPPO signaling-related signature for predicting prognosis and therapeutic response in gastric cancer.Frontiers in pharmacology · 2022Article
- Bioinformatics evaluation of a novel angiogenesis related genes-based signature for predicting prognosis and therapeutic efficacy in patients with gastric cancer.American journal of translational research · 2022Article
- Identification and validation of xenobiotic metabolism-associated prognostic signature based on five genes to evaluate immune microenvironment in colon cancer.Journal of gastrointestinal oncology · 2021Article
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8 authors.
Funding
Abstract
backgroundGastric cancer (GC) has a high mortality rate and is one of the most fatal malignant tumours. Male sex has been proven as an independent risk factor for GC. This study aimed to identify immune-related genes (IRGs) associated with the prognosis of male GC.
methodsRNA sequencing and clinical data were obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed IRGs between male GC and normal tissues were identified by integrated bioinformatics analysis. Univariate and multivariate Cox regression analyses were applied to screen survival-associated IRGs. Then, GC patients were separated into high- and low-risk groups based on the median risk score. Furthermore, a nomogram was constructed based on the TCGA dataset. The prognostic value of the risk signature model was evaluated by Kaplan-Meier curve, receiver operating characteristic (ROC), Harrell's concordance index and calibration curves. In addition, the gene expression dataset from the Gene Expression Omnibus (GEO) was also downloaded for external validation. The relative proportions of 22 types of infiltrating immune cells in each male GC sample were evaluated using CIBERSORT.
resultsA total of 276 differentially expressed IRGs were screened, including 189 up-regulated and 87 down-regulated genes. Subsequently, a seven-IRGs signature (LCN12, CCL21, RNASE2, CGB5, NRG4, AGTR1 and NPR3) was identified to be significantly associated with the overall survival (OS) of male GC patients. Survival analysis indicated that patients in the high-risk group exhibited a poor clinical outcome. The results of multivariate analysis revealed that the risk score was an independent prognostic factor. The established nomogram could be used to evaluate the prognosis of individual male GC patients. Further analysis showed that the prognostic model had excellent predictive performance in both TCGA and validated cohorts. Besides, the results of tumour-infiltrating immune cell analysis indicated that the seven-IRGs signature could reflect the status of the tumour immune microenvironment.
conclusionsOur study developed a novel seven-IRGs risk signature for individualized survival prediction of male GC patients.
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