[1] Cho Y,Lee J,Han B, et al. Tumor-infiltrating T lymphocytes evaluated using digital image analysis predict the prognosis of patients with diffuse large B-cell lymphoma[J]. J Pathol Transl Med,2024,58:12-21. [2] Shi H, Pan Y, Xiang G, et al. A novel NET-related gene signature for predicting DLBCL prognosis[J].J Transl Med,2023,21:630.doi: 10.1186/s12967-023-04494-9. [3] Zheng Y, Xu R, Chen X, et al. Metabolic gatekeepers: harnessing tumor-derived metabolites to optimize T cell-based immunotherapy efficacy in the tumor microenvironment[J]. Cell Death Dis, 2024,15:775.doi: 10.1186/s12967-023-04494-9. [4] Elia I, Haigis MC. Metabolites and the tumour microenvironment:from cellular mechanisms to systemic metabolism[J].Nat Metab,2021,3:21-32. [5] Kai Y, Xiaokun W, Chenghu S, et al. The role of lipid metabolic reprogramming in tumor microenvironment[J]. Theranostics, 2023,13:1774-1808. [6] Dong C, Zhang Y, Zeng J, et al. FUT2 promotes colorectal cancer metastasis by reprogramming fatty acid metabolism via YAP/TAZ signaling and SREBP-1[J]. Commun Biol, 2024,7:1297.doi: 10.1038/s42003-024-06993-x. [7] Lim SA, Su W, Chapman NM, et al. Lipid metabolism in T cell signaling and function[J]. Nat Chem Biol, 2022,18:470-481. [8] Raychaudhuri D, Singh P, Chakraborty B, et al. Histone lactylation drives CD8+ T cell metabolism and function[J]. Nat Immunol, 2024,25:2140-2151. [9] Li C, Wang F, Cui L, et al. Association between abnormal lipid metabolism and tumor[J]. Front Endocrinol (Lausanne), 2023,14:1134154.doi: 10.1038/s42003-024-06993-x. [10] Li Y, Wang L, Wang J, et al.Relationship between adipocytes and hematological tumors in the bone marrow microenvironment: a literature review[J]. Transl Cancer Res, 2024,13:5691-5701. [11] Pera B, Krumsiek J, Assouline E S, et al. Metabolo-mic profiling reveals cellular reprogramming of B-cell lymphoma by a lysine deacetylase inhibitor through the choline pathway[J]. EBioMedicine, 2018,28:80-89. [12] Wang X, Liu H, Fei Y, et al. Metabolic pathway-based subtyping reveals distinct microenvironmental states associated with diffuse large B-cell lymphoma outcomes[J]. Hematol Oncol, 2024,42:e3279.doi: 10.1002/hon.3279. [13] Zhong X,Zhang W,Zhang W, et al. FASN contributes to ADM resistance of diffuse large B-cell lymphoma by inhibiting ferroptosis via nf-κB/STAT3/GPX4 axis[J]. Cancer Biol Ther,2024,25:2403197.doi: 10.1080/15384047.2024.2403197. [14] Kapadia B, Nanaji NM, Bhalla K, et al. Fatty acid synthase induced S6Kinase facilitates USP11-eIF4B complex formation for sustained oncogenic translation in DLBCL[J]. Nat Commun, 2018,9:829.doi: 10.1038/s41467-018-03028-y. [15] Danilova OV, Dumont LJ, Levy NB, et al. FASN and CD36 predict survival in rituximab-treated diffuse large B-cell lymphoma[J]. J Hematop, 2013,6:11-18. [16] Meng Y, Guo D, Lin L, et al. Glycolytic enzyme PFKL governs lipolysis by promoting lipid droplet-mitochondria tethering to enhance β-oxidation and tumor cell prolifera-tion[J]. Nat Metab, 2024,6:1092-1107. [17] Caro P, Kishan U A, Norberg E, et al. Metabolic signatures uncover distinct targets in molecular subsets of diffuse large B cell lymphoma[J]. Cancer Cell, 2012,22:547-560. [18] 张漪蓉, 魏玮庆, 马皎, 等. 靶向SOX9调控弥漫性大B细胞淋巴瘤代谢重编程的研究[J]. 上海交通大学学报(医学版),2023,43:1236-1244. [19] Wang X, Liu H, Fei Y, et al. Metabolic pathway-based subtyping reveals distinct microenvironmental states associated with diffuse large B-cell lymphoma outcomes[J]. Hematol Oncol, 2024,42:e3279.doi: 10.1002/hon.3279. [20] 崔建, 陈烨, 何丽, 等. 脂肪酸代谢相关基因ACSL1在急性髓系白血病中的作用及潜在价值[J]. 癌变·畸变·突变,2024,36:298-304. [21] Nemec R,Crosbie SM,Abramson SJ, et al. Effect of atorvastatin versus placebo on efficacy in patients with diffuse large B-cell lymphoma receiving R-CHOP[J]. Leuk Lymphoma,2024,65:1-6. [22] Liu MK, Cheng LL, Yi HM, et al. Enhanced lipid metabolism confers the immunosuppressive tumor microenvironment in CD5-positive non-MYC/BCL2 double expressor lymphoma[J]. Front Oncol, 2022,12:885011.doi: 10.3389/fonc.2022.885011. |