ArticleJournal of translational medicine2020
IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Survival prediction of colorectal cancer using 101 machine learning methods based on immune-related genes: A machine learning study.Medicine · 2026Article
- Classifying Molecular Subtypes and Establishing a Prognosis Model using Oxidative Stress-related Genes for Lung Adenocarcinoma.Current medicinal chemistry · 2026Article
- A lactylation-driven prognostic model for lung adenocarcinoma: cellular lactylation heterogeneity and immune insights.Translational lung cancer research · 2025Article
- Predictive value of immunomodulatory-related genes for the prognosis of lung adenocarcinoma based on bioinformatics analysis.Discover oncology · 2025Article
- Characterization of the immune cell infiltration patterns in lung adenocarcinoma to facilitate immunotherapy.Heliyon · 2025Article
- Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma.Cancer cell international · 2025Article
- NALCN expression is down-regulated and associated with immune infiltration in gastric cancer.Frontiers in immunology · 2025Article
- A nomogram for cancer-specific survival of lung adenocarcinoma patients: A SEER based analysis.Surgery open science · 2024Article
- Identification and prognostic analysis of ferroptosis‑related gene HSPA5 to predict the progression of lung squamous cell carcinoma.Oncology letters · 2024Article
- Inflammation and tumor microenvironment.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023Review
- Cuproptosis and Immune-Related Gene Signature Predicts Immunotherapy Response and Prognosis in Lung Adenocarcinoma.Life (Basel, Switzerland) · 2023Article
- Article
- Establishing a metastasis-related diagnosis and prognosis model for lung adenocarcinoma through CRISPR library and TCGA database.Journal of cancer research and clinical oncology · 2023Article
- Prognostic Index for Nonsmall Cell Lung Cancer Based on Immune-Related Genes Expression.BioMed research international · 2022Article
- Tumor and Peripheral Immune Status in Soft Tissue Sarcoma: Implications for Immunotherapy.Cancers · 2021Review
- An immune-related model based on INHBA, JAG2 and CCL19 to predict the prognoses of colon cancer patients.Cancer cell international · 2021Article
- A novel immune-related gene signature predicts survival in esophageal squamous cell carcinoma.Translational cancer research · 2021Article
- Identification of a novel immune prognostic model in gastric cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021Article
- Multi-omics analysis of genomics, epigenomics and transcriptomics for molecular subtypes and core genes for lung adenocarcinoma.BMC cancer · 2021Article
- Development and validation of an immune gene-set based prognostic signature for soft tissue sarcoma.BMC cancer · 2021Article
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9 authors.
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Abstract
backgroundTumour cells interfere with normal immune functions by affecting the expression of some immune-related genes, which play roles in the prognosis of cancer patients. In recent years, immunotherapy for tumours has been widely studied, but a practical prognostic model based on immune-related genes in lung adenocarcinoma comparable to existing model has not been established and reported.
methodsWe first obtained publicly accessible lung adenocarcinoma RNA expression data from The Cancer Genome Atlas (TCGA) for differential gene expression analysis and then filtered immune-related genes based on the ImmPort database. By using the lasso algorithm and multivariate Cox Proportional-Hazards (CoxPH) regression analysis, we identified candidate genes for model development and validation. The robustness of the model was further examined by comparing the model with three established gene models.
resultsGene expression data from a total of 524 lung adenocarcinoma patients from TCGA were used for model development. We identified four biomarkers (MAP3K8, CCL20, VEGFC, and ANGPTL4) that could predict overall survival in lung adenocarcinoma (HR = 1.98, 95% CI 1.48 to 2.64, P = 4.19e-06) and this model could be used as a classifier for the evaluation of low-risk and high-risk groups. This model was validated with independent microarray data and was highly comparable with previously reported gene expression signatures for lung adenocarcinoma prognosis.
conclusionsIn this study, we identified a practical and robust four-gene prognostic model based on an immune gene dataset with cross-platform compatibility. This model has potential value in improving TNM staging for survival predictions in patients with lung adenocarcinoma. IMPACT: The study provides a method of immune relevant gene prognosis model and the identification of immune gene classifier for the prediction of lung adenocarcinoma prognosis with RNA sequencing and microarray compatibility.
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