Refining prognostic assessment of diffuse large B-cell lymphoma: insights from multi-omics and single-cell analysis unveil SRM as a key target for regulating immunotherapy
机构:[1]Capital Med Univ, Beijing Tongren Hosp, Dept Hematol, Beijing 100730, Peoples R China临床科室血液内科首都医科大学附属北京同仁医院首都医科大学附属同仁医院[2]Southern Med Univ, Nanfang Hosp, Dept Hematol, Guangzhou 510515, Peoples R China[3]Guangdong Med Univ, Sch Clin Med 1, Zhanjiang 524000, Peoples R China
Purposes Previous studies have demonstrated that proliferation, stroma or immunity strongly influence the prognosis and therapeutic resistance of diffuse large B-cell lymphoma (DLBCL). Herein, we aimed to integrate proliferation, stromal, and immune (PSI) features to systematically evaluate the risk stratification and explore novel therapeutic targets in DLBCL. MethodsUsing data from multiple researches, we comprehensively evaluated the characteristics and prognostic impact of PSI features in DLBCL, and developed a novel risk stratification model (PSI score) with a consistent cutoff value to stratify the risk of 3,229 DLBCL patients from different cohorts. Mechanisms underlying adverse prognosis in the high-risk DLBCLs were investigated through transcriptomic (n = 3,229), genomic (n = 576), and scRNA-seq (n = 20) analyses. ResultsWe identified a high-risk DLBCL subgroup (HPSI, 36.1% of DLBCL). HPSI was characterized by upregulation of spermidine synthase (SRM) and cold tumor microenvironment (TME). Compared to low-risk group, HPSI exhibited poorer prognosis, with lower 3-year OS (51.7% vs. 78.1%, P < 0.0001) and PFS (48.9% vs. 72.6%, P < 0.0001) rates. HPSI shared malignant proliferative phenotype resembling Burkitt lymphoma. Genomic analysis revealed extensive copy-number loss in the chemokine and interleukin coding regions within HPSI. Bulk and scRNA-seq analyses indicated that upregulation of SRM might mediate cold TME in DLBCL, potentially through suppressing immune activation pathways, promoting dendritic cells (DCs) transformation into tolerogenic DCs, and facilitating M2 polarization of macrophages. Finally, for eventual clinical translation, we integrated the model with other clinical features to develop a comprehensive database for DLBCL. ConclusionOur study effectively simplifies risk stratification of DLBCL, revealing that immune microenvironment and SRM jointly shape a subgroup of DLBCL with extremely poor prognosis. Targeting SRM may become a potential strategy for modulating immunotherapy in DLBCL, providing new insight for immunotherapy.
基金:
National Natural Science Foundation of China (Nos. 82170181), Beijing Natural Science Foundation (No. 7222027), Beijing Physician Scientist Training Project (BJPSTP-2024-01), and the National Key R&D Program of China (Grant No. 2022YFF1502000)
第一作者机构:[1]Capital Med Univ, Beijing Tongren Hosp, Dept Hematol, Beijing 100730, Peoples R China
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推荐引用方式(GB/T 7714):
Liang Xiaojie,Guo Jia,Luo Baiwei,et al.Refining prognostic assessment of diffuse large B-cell lymphoma: insights from multi-omics and single-cell analysis unveil SRM as a key target for regulating immunotherapy[J].JOURNAL OF BIG DATA.2025,12(1):doi:10.1186/s40537-025-01067-z.
APA:
Liang, Xiaojie,Guo, Jia,Luo, Baiwei,Lu, Weixiang,Chen, Qiumin...&Wang, Liang.(2025).Refining prognostic assessment of diffuse large B-cell lymphoma: insights from multi-omics and single-cell analysis unveil SRM as a key target for regulating immunotherapy.JOURNAL OF BIG DATA,12,(1)
MLA:
Liang, Xiaojie,et al."Refining prognostic assessment of diffuse large B-cell lymphoma: insights from multi-omics and single-cell analysis unveil SRM as a key target for regulating immunotherapy".JOURNAL OF BIG DATA 12..1(2025)