Single-cell sequencing combined with batch transcriptome sequencing to identify macrophage-associated markers in lung adenocarcinoma
Objective To investigate the role of macrophage associated markers in lung adenocarcinoma by single-cell sequencing combined with batch transcriptome sequencing.Methods This study utilized a combination of single-cell sequencing and bulk transcriptome sequencing to identify macrophage-related biomarkers(MRBs)in LUAD.We employed Weighted Gene Co-Expression Network Analysis(WGCNA)to screen prognostic MRBs associated with survival time.Enrichment analysis was conducted to annotate the biological mechanisms of these prognostic MRBs.The Hub gene among prognostic MRBs was pinpointed through Protein-Protein Interaction(PPI)networks,univariate Cox analysis,and survival analysis.Results Macrophages were highly infiltrated in LUAD tissues.We identified 116 MRBs that were not only specifically highly expressed in macrophages but also significantly upregulated in LUAD tissues.These 116 MRBs were linked to malignant progression and poor prognosis in LUAD.Ultimately,14 Hub genes were identified from the 116 MRBs.Conclusion This study provides insights into the pathological mechanisms of LUAD at the single-cell level and offers new perspectives for prognostic prediction and targeted therapy based on macrophages.
万方数据
维普
