Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of lung adenocarcinoma
Ma, C.; Luo, H.; Cao, J.
Show abstract
BackgroundLung adenocarcinoma (LUAD) is the most common primary lung cancer, and increasing evidence indicates the clinical importance of the microenvironment in LUAD. Tumor-infiltrating immune cells play an important role in promoting or inhibiting tumor growth. This study aimed to identify immune-related prognostic genes that were associated with the LUAD microenvironment. MethodsWe used the "estimate" R package to calculate the immune/stromal scores of each sample of GSE72094 based on the ESTIMATE algorithm. Then we looked up relationships between patients characteristics and immune/stromal scores. After that, we divided the samples into two groups: high and low scores, identified the common differentially expressed genes (DEGs), and performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) on the common DEGs. After conducting the overall survival analysis of the common DEGs, prognostic genes were harvested. Then we constructed the protein-protein interaction network and performed the enrichment of GO and KEGG for the prognostic genes. Crucial prognostic genes were obtained after validating in two independent data sources (GSE68465 and TIMER). Finally, we investigated the immune correlates of the crucial prognostic genes based on the TIMER. ResultsImmune scores did not vary with gender, age, smoking history, tumor stage, and EGFR status, but vary with the status of KRAS, STK11, and TP53. For the stromal scores, only the status of STK11 and TP53 mattered. Reduced immune score predicted poor prognosis of LUAD. 357 common DEGs were found, of which 108 were identified as prognostic genes after overall survival analysis. GO and KEGG analysis found that common DEGs and prognostic genes were both mainly involved in immune-related items. After validation in two independent data sources, 12 genes were validated to be crucial prognostic genes linked to prognosis. After investigated the TIMER, all 12 genes were correlated with the main immune cell types. Conclusion12 immune-related prognostic genes were discovered relating to the microenvironment in LUAD. These findings suggest that the composition of the tumor microenvironment affects the clinical outcomes of LUAD, and it may provide a basis for the development of novel prognostic biomarkers and immunotherapy for LUAD.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Establishment of a prognosis prediction model based on pyroptosis-related signatures associated with the immune microenvironment and molecular heterogeneity in clear cell renal carcinoma 98%
- Pyroptosis-related gene signatures can robustly diagnose skin cutaneous melanoma and predict the prognosis 97%
- Patient stratification of clear cell renal cell carcinoma using the global transcription factor activity landscape derived from RNA-seq data 96%
Similar papers in this journal
- Profiling tumor immune microenvironment of non-small cell lung cancer using multiplex immunofluorescence 96%
- Dissected subgroups predict the risk of recurrence of stage II colorectal cancer and select rational treatment 96%
- Transcriptome analysis of PBMCs reveals distinct immune response in the asymptomatic and re-detectable positive COVID-19 patients 95%
Similar papers in this journal
- Tumor Purity-Related Genes for Predicting the Prognosis and Drug Sensitivity of DLBCL Patients 97%
- Mapping of single-cell landscape of acral melanoma and analysis of molecular regulatory network of tumor microenvironment 97%
- Molecular Feature-Based Classification of Retroperitoneal Liposarcoma: A Prospective Cohort Study 95%
Similar papers in this journal
- ORMDL1 is upregulated and associated with favorable outcome in colorectal cancer 95%
- Enhancing Chemotherapy Response Prediction via Matched Colorectal Tumor-Organoid Gene Expression Analysis and Network-Based Biomarker Selection 95%
- PMAIP1-Mediated Glucose Metabolism and its Impact on the Tumor Microenvironment in Breast Cancer: Integration of Multi-Omics Analysis and Experimental Validation 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.