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Single-cell and spatial transcriptomics reveal a high glycolysis B cell and tumor-associated macrophages cluster correlated with poor prognosis and exhausted immune microenvironment in diffuse large B-cell lymphoma

肿瘤微环境 癌症研究 弥漫性大B细胞淋巴瘤 糖酵解 转录组 CD8型 免疫系统 恶性肿瘤 淋巴瘤 川地68 T细胞淋巴瘤 生物 医学 免疫组织化学 免疫学 内科学 基因表达 新陈代谢 基因 生物化学
作者
Liyuan Dai,Guangyu Fan,Tongji Xie,Lin Li,Le Tang,Haizhu Chen,Yuankai Shi,Han Xiao-hong
出处
期刊:Biomarker research [BioMed Central]
卷期号:12 (1) 被引量:4
标识
DOI:10.1186/s40364-024-00605-w
摘要

Abstract Background Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous malignancy characterized by varied responses to treatment and prognoses. Understanding the metabolic characteristics driving DLBCL progression is crucial for developing personalized therapies. Methods This study utilized multiple omics technologies including single-cell transcriptomics ( n = 5), bulk transcriptomics ( n = 966), spatial transcriptomics ( n = 10), immunohistochemistry ( n = 34), multiple immunofluorescence ( n = 20) and to elucidate the metabolic features of highly malignant DLBCL cells and tumor-associated macrophages (TAMs), along with their associated tumor microenvironment. Metabolic pathway analysis facilitated by scMetabolism, and integrated analysis via hdWGCNA, identified glycolysis genes correlating with malignancy, and the prognostic value of glycolysis genes ( STMN1, ENO1, PKM , and CDK1 ) and TAMs were verified. Results High-glycolysis malignant DLBCL tissues exhibited an immunosuppressive microenvironment characterized by abundant IFN_TAMs (CD68 + CXCL10 + PD-L1 + ) and diminished CD8 + T cell infiltration. Glycolysis genes were positively correlated with malignancy degree. IFN_TAMs exhibited high glycolysis activity and closely communicating with high-malignancy DLBCL cells identified within datasets. The glycolysis score, evaluated by seven genes, emerged as an independent prognostic factor ( HR = 1.796, 95% CI : 1.077–2.995, p = 0.025 and HR = 2.631, 95% CI : 1.207–5.735, p = 0.015) along with IFN_TAMs were positively correlated with poor survival ( p < 0.05) in DLBCL. Immunohistochemical validation of glycolysis markers ( STMN1, ENO1, PKM , and CDK1 ) and multiple immunofluorescence validation of IFN_TAMs underscored their prognostic value ( p < 0.05) in DLBCL. Conclusions This study underscores the significance of glycolysis in tumor progression and modulation of the immune microenvironment. The identified glycolysis genes and IFN_TAMs represent potential prognostic markers and therapeutic targets in DLBCL.
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