Overexpression of ornithine decarboxylase 1 mediates the immune-deserted microenvironment and poor prognosis in diffuse large B-cell lymphoma

被引:0
作者
Liang, Xiaojie [1 ]
Guo, Jia [1 ]
Wang, Xiaofang [2 ]
Luo, Baiwei [3 ]
Fu, Ruiying [1 ]
Chen, Haiying
Yang, Yunong [4 ]
Jin, Zhihao [4 ]
Lin, Chaoran [4 ]
Zang, Aimin [2 ]
Jia, Youchao [2 ]
Feng, Lin [5 ]
Wang, Liang [1 ]
机构
[1] Capital Med Univ, Beijing Tongren Hosp, Dept Hematol, Beijing, Peoples R China
[2] Hebei Univ, Affiliated Hosp, Dept Med Oncol, Hebei Key Lab Canc Radiotherapy & Chemotherapy, Baoding, Peoples R China
[3] Southern Med Univ, Nanfang Hosp, Dept Hematol, Guangzhou, Peoples R China
[4] Guangdong Med Univ, Clin Med Sch 1, Zhanjiang, Guangdong, Peoples R China
[5] Beihang Univ, Sch Mech Engn & Automat, Beijing, Peoples R China
来源
JOURNAL OF THE NATIONAL CANCER CENTER | 2025年 / 5卷 / 01期
基金
国家重点研发计划;
关键词
Risk stratification; ODC1; Tumor microenvironment; Immunotherapy; DLBCL; POLYAMINE METABOLISM; EMBRYONIC STEM; CANCER; EXPRESSION; SURVIVAL; INFLAMMATION; RESISTANCE; SIGNATURES; FEATURES; ZONE;
D O I
10.1016/j.jncc.2024.10.001
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Previous researches mainly focused on whether cancer stem cells exist in diffuse large B-cell lymphoma (DLBCL). However, subgroups with dismal prognosis and stem cell-like characteristics have been overlooked. Methods: Using large scale data ( n = 2133), we conducted machine learning algorithms to identify a high risk DLBCL subgroup with stem cell-like features, and then investigated the potential mechanisms in shaping this subgroup using transcriptome, genome and single-cell RNA-seq data, and in vitro experiments. Results: We identified a high-risk subgroup (25.6 % of DLBCL) with stem cell-like characteristics and dismal prognosis. This high-risk group (HRG) was featured by upregulation of key enzyme (ODC1) in polyamine metabolism and cold tumor microenvironment (TME), and had a poor prognosis with lower 3-year overall survival (OS) (54.3 % vs. 83.6 %, P < 0.0001) and progression-free survival (PFS) (42.8 % vs. 74.7 %, P < 0.0001) rates compared to the low-risk group. HRG also exhibited malignant proliferative phenotypes similar to Burkitt lymphoma. Patients with MYC rearrangement, double-hit, double-expressors, or complete remission might have either favorable or poor prognosis, which could be further distinguished by our risk stratification model. Genomic analysis revealed widespread copy number losses in the chemokine and interferon coding regions 8p23.1 and 9p21.3 in HRG. We identified ODC1 as a therapeutic vulnerability for HRG-DLBCL. Single-cell analysis and in vitro experiments demonstrated that ODC1 overexpression enhanced DLBCL cell proliferation and drove macrophage polarization towards the M2 phenotype. Conversely, ODC1 inhibition reduced DLBCL cell proliferation, induced cell cycle arrest and apoptosis, and promoted macrophage polarization towards the M1 phenotype. Finally, we developed a comprehensive database of DLBCL for clinical application. Conclusions: Our study effectively advances the precise risk stratification of DLBCL and reveals that ODC1 and immune-deserted microenvironment jointly shape a group of DLBCL patients with stem cell-like features. Targeting ODC1 regulates immunotherapies in DLBCL, offering new insights for DLBCL treatment.
引用
收藏
页码:57 / 74
页数:18
相关论文
共 60 条
  • [1] Malta T.M., Sokolov A., Gentles A.J., Et al., Machine learning identifies stemness features associated with oncogenic dedifferentiation, Cell, 173, pp. 338-354.e15, (2018)
  • [2] Zhang C., Chen T., Li Z., Et al., Depiction of tumor stemlike features and underlying relationships with hazard immune infiltrations based on large prostate cancer cohorts, Brief Bioinform, 22, (2021)
  • [3] Miranda A., Hamilton P.T., Zhang A.W., Et al., Cancer stemness, intratumoral heterogeneity, and immune response across cancers, Proc Natl Acad Sci USA, 116, pp. 9020-9029, (2019)
  • [4] Lian H., Han Y.P., Zhang Y.C., Et al., Integrative analysis of gene expression and DNA methylation through one-class logistic regression machine learning identifies stemness features in medulloblastoma, Mol Oncol, 13, pp. 2227-2245, (2019)
  • [5] Song S., Li Y., Zhang K., Et al., Cancer stem cells of diffuse large B cell lymphoma are not enriched in the CD45+CD19- cells but in the ALDH high cells, J Cancer, 11, pp. 142-152, (2020)
  • [6] Chen J., Ge X., Zhang W., Et al., PI3K/AKT inhibition reverses R-CHOP resistance by destabilizing SOX2 in diffuse large B cell lymphoma, Theranostics, 10, pp. 3151-3163, (2020)
  • [7] Shaffer A.L., Wright G., Yang L., Et al., A library of gene expression signatures to illuminate normal and pathological lymphoid biology, Immunol Rev, 210, pp. 67-85, (2006)
  • [8] Bagaev A., Kotlov N., Nomie K., Et al., Conserved pan-cancer microenvironment subtypes predict response to immunotherapy, Cancer Cell, 39, pp. 845-865.e7, (2021)
  • [9] Charoentong P., Finotello F., Angelova M., Et al., Pan-cancer immunogenomic analyses reveal genotype-immunophenotype relationships and predictors of response to checkpoint blockade, Cell Rep, 18, pp. 248-262, (2017)
  • [10] Hanahan D., Weinberg R.A., Hallmarks of cancer: the next generation, Cell, 144, pp. 646-674, (2011)