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单细胞测序联合批量转录组测序鉴定肺腺癌中巨噬细胞相关标记物研究

Single-cell sequencing combined with batch transcriptome sequencing to identify macrophage-associated markers in lung adenocarcinoma
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摘要 目的通过单细胞测序联合批量转录组测定探究巨噬细胞相关标记物在肺腺癌的作用。方法本研究联合单细胞测序和批量转录组测序鉴肺腺癌中的巨噬细胞相关标记物(MRBs)。通过加权基因共表达网络分析(WGCNA)筛选与生存时间密切相关的预后MRBs。使用富集分析注释预后MRBs的生物学机制。通过蛋白质相互作用(PPI)网络,单因素COX分析和生存分析鉴定出预后MRBs中的Hub基因。结果巨噬细胞在肺腺癌组织中高水平浸润。116个MRBs不仅在巨噬细胞中特异性高表达,而且在肺腺癌组织中显著上调。116个MRBs还与肺腺癌恶性进展和预后不良有关。最后从116个MRBs中鉴定出14个Hub基因。结论本研究在单细胞水平探索肺腺癌的病理机制,为后续以巨噬细胞为切入点的预后预测和靶向治疗提供新的见解。 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.
作者 郝磊磊 张寿涛 刘金阳 尚自强 Hao Leilei;Zhang Shoutao;Liu Jinyang;Shang Ziqiang(Department of Thoracic Surgery,the First Affiliated Hospital of Henan University of Science and Technology,Luoyang 471000,China)
出处 《山西医药杂志》 CAS 2024年第22期1688-1692,共5页 Shanxi Medical Journal
关键词 肺腺癌 单细胞测序 巨噬细胞 生物标记 肿瘤 Lung adenocarcinoma Single-cell sequencing Macrophages Biomarkers,tumor
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