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

钥匙(锁) 计算机科学 免疫疗法 精炼(冶金) 弥漫性大B细胞淋巴瘤 淋巴瘤 计算生物学 医学 病理 生物 化学 内科学 癌症 计算机安全 物理化学
作者
Xiaojie Liang,Jia Guo,Baiwei Luo,Weixiang Lu,Qiumin Chen,Yeling Deng,Yunong Yang,Liang Wang
出处
期刊:Journal of Big Data [Springer Science+Business Media]
卷期号:12 (1)
标识
DOI:10.1186/s40537-025-01067-z
摘要

Abstract 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. Methods Using 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. Results We 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. Conclusion Our 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.
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