Identification of pyroptosis-related signature and development of a novel prognostic model in diffuse large B-cell lymphoma

被引:4
作者
Lv, Liemei [1 ]
Zhang, Yu [2 ]
Kong, Ran [1 ]
Wang, Cong [2 ]
Wang, Xin [1 ,2 ,3 ,4 ]
Zhou, Xiangxiang [1 ,2 ,3 ,4 ]
机构
[1] Shandong Univ, Shandong Prov Hosp, Dept Hematol, 324 Jingwu Rd, Jinan 250021, Shandong, Peoples R China
[2] Shandong First Med Univ, Shandong Prov Hosp, Dept Hematol, Jinan 250021, Shandong, Peoples R China
[3] Branch Natl Clin Res Ctr Hematol Dis, Jinan 250021, Shandong, Peoples R China
[4] Soochow Univ, Affiliated Hosp 1, Natl Clin Res Ctr Hematol Dis, Suzhou 251006, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Pyroptosis; Prognostic model; Combination therapy; Immune profile; DLBCL; INDUCE PYROPTOSIS; IMMUNE; INFLAMMASOME; CASPASE-8; COLON;
D O I
10.1007/s00432-023-05018-0
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PurposeEmerging evidence suggests that pyroptosis plays an essential role in the development and progression of multiple cancers. However, the role of pyroptosis remains elusive in diffuse large B-cell lymphoma (DLBCL).MethodsThe expression profile data of DLBCL and normal samples of pyroptosis-related genes (PRGs) were analyzed, and the clinical characteristics of DLBCL patients were further investigated. A prognostic model was established using LASSO-Cox regression analysis. The expression of these PRGs was validated by qRT-PCR in DLBCL cell lines. Cell proliferation assay and flow cytometry were utilized to explore the impact of pyroptosis inhibitor (disulfiram, DSF) combined with PD1/PD-L1 inhibitor (BMS1166) on DLBCL cell proliferation.ResultsMost PRGs were dysregulated in DLBCL samples and associated with overall survival (OS). Six PRGs were selected to construct a prognostic risk score model. The qRT-PCR analysis revealed that CASP8, CASP9, NLRP1, NLRP6, and TIRAP are downregulated, while SCAF11 was significantly upregulated in DLBCL cell lines. This prognostic model divided DLBCL patients into low-risk and high-risk groups. Patients in the low-risk group exhibited lower mortality and longer OS than those in the high-risk group. The ROC curve and nomogram demonstrated this model's excellent predictive performance. GO and KEGG enrichment indicated that the differentially expressed genes (DEGs) between subgroups were associated with cellular protein modification processes and JAK-STAT signaling pathway regulation. Moreover, the risk score was correlated with the immune profile. Cell proliferation assay and flow cytometry further validated the synergistic anti-tumor effects of DSF and BMS1166 on DLBCL cells.ConclusionIn summary, we developed a comprehensive prognostic model based on PRGs characteristics, which accurately predicted the prognosis of DLBCL patients. Pyroptosis-targeting coupled with immunotherapies would be a promising therapeutic strategy for DLBCL.
引用
收藏
页码:12677 / 12690
页数:14
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