Practice pattern and outcomes in DLBCL by Genetic Subtypes: Preliminary results from a large-scale real-world study in China
Abstract
Abstract Introduction: Diffuse large B cell lymphoma (DLBCL) is genetically heterogenous, comprising distinct molecular subtypes (MCD, BN2, N1, EZB, A53, and ST2) according to the LymphGen classification (Cancer Cell 2020:37:551-568). The simplified LymphPlex algorithm (38 genes) categorizes DLBCL into TP53-mutated, MCD-like, BN2-like, N1-like, EZB-like, and ST2-like subtypes, demonstrating strong concordance with LymphGen (Sig Transduct Target Ther 2023:8:145). These subtypes exhibit divergent clinical behavior and prognosis. The phase II GUIDANCE-01 trial further established that subtype-guided immunochemotherapy (R-CHOP-X) improves antitumor efficacy with acceptable safety (Cancer Cell 2023:41:1705-1716). Nevertheless, real-world data on treatment practices and outcomes across subtypes remains scarce. This multicenter, nationwide study characterizes clinical practice and therapeutic effectiveness in a large Chinese DLBCL cohort stratified by genetic subtype, informing precision therapy approaches. Methods This real-world study (NCT06026488) included DLBCL patients with TP53-mutated, MCD-like, BN2-like, N1-like, EZB-like, ST2-like, or other subtypes from 27 Chinese centers. Retrospective data included demographics, clinical characteristics, genetic profiles, treatments, response assessments, and survival outcomes. Effectiveness endpoints were progression-free survival (PFS), complete response rate (CRR), objective response rate (ORR), and overall survival (OS). Results By May 15, 2025, a total of 3,539 patients with DLBCL (male, 53.0%) were analyzed, with a median age of 60 years (IQR, 50-69 years). Additionally, 56.5% of patients had stage III/IV disease, 55.9% had non-GCB subtype, 45.7% exhibited elevated lactate dehydrogenase levels, and 29.0% had >2 extranodal sites. High-risk features included IPI score 3-5 (35.5%), MYC/BCL-2 dual expression (28.3%), and high-grade B-cell lymphomas with MYC and BCL2 and/or BCL6 rearrangements (3.2%). Common genetic subtypes: TP53-mutated was identified in 19.3% of patients, MCD-like in 16.1%, BN2-like in 8.9%, and other genetic subtypes in 29.5%. The most common first-line therapies comprised R-CHOP-based therapy (68.5%), R-CHOP plus targeted agents (10.1%), and DA-EPOCH-R (3.2%). Among 2,973 patients with effectiveness data, the overall CRR was 70.9% and ORR was 80.5%. CRR was higher with R-CHOP plus targeted agents (78.3%). In MCD-like patients (n=333) who received R-CHOP-based or R-CHOP plus Bruton tyrosine kinase inhibitor (BTKi), propensity score-matched analysis showed numerically higher CRR with R-CHOP plus BTKi versus R-CHOP (77.2% vs 68.4%). Orelabrutinib was the most common BTKi, and R-CHOP plus orelabrutinib achieved a CR rate of 81.4% in MCD-like subgroup. Survival data collection is ongoing. Conclusions: This large-scale real-world study provides treatment patterns and outcomes across DLBCL genetic subtypes in China. R-CHOP plus BTKi demonstrated enhanced efficacy in MCD-like patients, supporting subtype-directed therapy. Updated survival and safety data will be presented.
Article Details
Authors (34)
Pengpeng Xu
Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China (Linlin Zhang, P.X., J.S., Z.W., Y.D., Y.Z., L.M., J.P., Longjiang Zhang).
Hongmei Jing
Songfu Jiang
9the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
Keshu Zhou
3the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
Wenrong Huang
Xiaoxi Zhou
Organometallic Chemistry Laboratory, RIKEN Pioneering Research Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
Jianzhen Shen
Xiuhua Sun
Xiaobo Wang
Bing Xiu
Xiaojing Yan
Ting Niu
Department of Hematology, West China Hospital, Sichuan University, Chengdu
Hongling Peng
Haisheng Liu
4The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
Sujiang Zhang
1Shanghai Jiao Tong University School of Medicine Ruijin Hospital, Shanghai, China
Wei Sang
Yanli Yang
Yingyu Nan
17Chongqing Cancer Hospital, Chongqing, China
Yao Liu
Wuping Li
17Department of lymphohematological oncology, Jiangxi Cancer Hospital, Nanchang, China
Lijie Xing
4Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
Chunling Wang
Jingyan Xu
Qianqian Cai
22Ningbo Medical Treatment Center Lihuili Hospital, Ningbo, China
Ying Zhao
Division of Biobased Chemicals
Xudong Zhang
Zhengzi Qian
1Department of Lymphoma / State Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, the Sino-US Center for Lymphoma and Leukemia Research, Tianjin, China
Jinhai Ren
1The Second Hospital of Hebei Medical University, Shijiazhuang, China
Aili He
Li Wang
The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital Zhengzhou China
Yue Wang
Muchen Zhang
1Shanghai Institute of Hematology; State Key Laboratory of Medical Genomics; National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Department of Hematology, Shanghai, China
Yang He
Wei Li Zhao
1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China