ArticleJournal of Cancer2020
Identification of the key genes and characterizations of Tumor Immune Microenvironment in Lung Adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC).
Article in Journal of Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy of first-line treatment in driver gene-negative non-small cell lung cancer with liver metastases: a Bayesian network meta-analysis.Frontiers in immunology · 2026Pooled it
- Article
- Loss of PTEN as an Independent Poor Prognosis Indicator in Lung Adenocarcinoma, but Not in Squamous Cell Carcinoma, Is Associated with an Immunosuppressive Tumor Microenvironment and Distinct Co-Mutational Profiles.Medical sciences (Basel, Switzerland) · 2026Article
- Endoplasmic reticulum stress-related genes play a role in the prognosis of lung adenocarcinoma.Discover oncology · 2025Article
- A deep learning model for multiclass lung cancer classification using multimodal data fusion.Discover oncology · 2025Article
- Tumor suppressors in Sox2-mediated lung cancers promote distinct cell-intrinsic and immunologic remodeling.JCI insight · 2025Article
- MYO19 is associated with tumor progression, immune evasion, ferroptosis-related signatures in lung squamous cell carcinoma.Frontiers in oncology · 2025Article
- Identification of immune-related prognostic biomarkers in lung squamous cell carcinoma microenvironment.Frontiers in immunology · 2025Article
- Functional exploration and drug prediction on programmed cell death-related biomarkers in lung adenocarcinoma.Heliyon · 2024Article
- Significance ofPeerJ · 2024Article
- Integrating DNA methylation and gene expression data in a single gene network using the iNETgrate package.Scientific reports · 2023Article
- Intratumoral Microbiota-Host Interactions Shape the Variability of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma in Recurrence and Metastasis.Microbiology spectrum · 2023Article
- A Naive Bayes model on lung adenocarcinoma projection based on tumor microenvironment and weighted gene co-expression network analysis.Infectious Disease Modelling · 2022Article
- Altered expression of ACOX2 in non-small cell lung cancer.BMC pulmonary medicine · 2022Article
- Extracellular Vesicles-Encapsulated miR-153-3p Potentiate the Survival and Invasion of Lung Adenocarcinoma.Molecules and cells · 2022Article
- Article
- B3GNT3 as a prognostic biomarker and correlation with immune cell infiltration in lung adenocarcinoma.Annals of translational medicine · 2022Article
- Multimodal analysis suggests differential immuno-metabolic crosstalk in lung squamous cell carcinoma and adenocarcinoma.NPJ precision oncology · 2022Article
- CXCL12, a potential modulator of tumor immune microenvironment (TIME) of bladder cancer: From a comprehensive analysis of TCGA database.Frontiers in oncology · 2022Article
- Characterization of lung adenocarcinoma based on immunophenotyping and constructing an immune scoring model to predict prognosis.Frontiers in pharmacology · 2022Article
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Authors and funding
6 authors.
Funding
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Abstract
This study aimed to investigate the key genes and immune microenvironment involved in different TNM stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). The gene expression and clinical characteristics data were downloaded from the genomic data commons (GDC) database. After initial data processing, the characteristics of the immune microenvironment were analyzed. The differentially expressed genes (DEGs) in tumor vs. normal, and in early vs. advanced stages were screened, followed by Spearman correlation test for tumor infiltrating immune cells (TIICs) to identify immune-related genes. Finally, functional enrichment, protein-protein interaction, and survival analyses were performed. In LUAD, early stage was with higher immune scores, greater number of memory B cells and M0 macrophages compared to advanced stage. M0 and M2 macrophages, and resting memory CD4+ T cells accounted for a large proportion of TIICs in LUAD. The abundance of M0 macrophage infiltration was significantly correlated with the TNM stage and survival. In LUSC, early stage was with higher cytolytic activity and neoantigen burden compared to advanced stage. M0 and M2 macrophages, and plasma cells accounted for a large proportion of TIICs in LUSC. The abundance of resting and activated mast cells was significantly correlated with TNM stage, while resting dendritic cells, eosinophils, activated memory CD4 T cells, and mast cells were significantly correlated with prognosis. Tumor mutation burden analysis revealed that the median of variants per sample decreased from stage I to IV in LUAD, while it increased in LUSC. Further, 83 and 9 immune-related DEGs were identified in LUAD and LUSC, respectively, of which 23 genes in LUAD and 2 genes in LUSC correlated with survival. In conclusion, we identified the key genes, and characterized the tumor immune microenvironment in LUAD and LUSC which may provide therapeutic targets for the treatment of NSCLC.
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