Copyright: ©Author(s) 2026.
World J Clin Oncol. Sep 24, 2026; 17(9): 125602
Published online Sep 24, 2026. doi: 10.5306/wjco.125602
Published online Sep 24, 2026. doi: 10.5306/wjco.125602
Table 1 Comparison of diffuse large B-cell lymphoma molecular classification systems
| Classification system | Year | Technology platform | Subtypes | Classification basis | Major advantages | Major limitations |
| COO classification | 2000 | GEP | 2 (GCB/ABC) | Gene expression profiling | Biologically well-defined; established the foundation for molecular subtyping | GEP-dependent; difficult for routine clinical implementation |
| Hans et al[10], algorithm | 2004 | IHC | 2 (GCB/non-GCB) | CD10/BCL6/MUM1 | Simple operation; applicable in routine pathology | Accuracy approximately 80%; low sensitivity for ABC subtype identification |
| Schmitz et al[13], classification | 2018 | WES + translocations | 4 (MCD/BN2/N1/EZB) | Mutations + chromosomal translocations | Mechanistically clear; provides explicit therapeutic guidance | WES-dependent; high cost |
| Chapuy et al[14], classification | 2018 | WES clustering | 5 (C1-C5) | Whole-exome clustering | Independently validated; reveals additional subgroups | Clinical significance of some subtypes unclear |
| LymphGen | 2020 | Probabilistic classification | 7 | Naïve Bayes algorithm | Reproducible probabilistic classification; most widely applied | Relies on WES data quality |
| DLBClass | 2025 | Deep learning | Probabilistic | Neural network | Higher accuracy | High technical barrier; challenging for clinical implementation |
Table 2 Risk stratification by integrating end-of-treatment circulating tumor DNA and positron emission tomography/computed tomography findings
| EOT PET/CT | EOT ctDNA | Clinical implication | Recommended management |
| Negative | Negative | Molecular + radiographic dual remission | Routine follow-up |
| Negative | Positive | High-risk subgroup (specificity 90.8%) | Consider consolidation therapy or intensified surveillance |
| Positive | Negative | Possible inflammatory or inactive lesions (NLR 0.15) | Avoid unnecessary consolidation therapy/invasive biopsy |
| Positive | Positive | True residual disease/progression | Intensified therapy |
Table 3 Efficacy of major novel therapeutic regimens in relapsed/refractory diffuse large B-cell lymphoma
| Therapy type | Regimen | Key trial | ORR, % | CR rate, % | PFS/OS | Target population |
| ADC | Polatuzumab + BR | Pola-BR | NA | 40 (vs 18) | PFS 10 months vs 4 months; OS 12 months vs 5 months | Transplant-ineligible R/R DLBCL |
| Anti-CD19 mAb + IMiD | Tafasitamab + lenalidomide | L-MIND | 58 | 40 | 5-year OS 81% in CR patients | CAR-T intolerant |
| Bispecific (IV) | Glofitamab | NP30179 | 52 | 39 | 18-month sustained CR 67% | Heavily pretreated |
| Bispecific (SC) | Epcoritamab | EPCORE NHL-1 | 63 | 39 | NA | Heavily pretreated |
| CAR-T (third-line) | Axi-cel | ZUMA-1 | 83 | 58 | 5-year OS 42.6% | ≥ 3 prior lines |
| CAR-T (second-line) | Liso-cel | TRANSFORM | NA | 74 (vs 43) | EFS significantly superior to ASCT | Early relapse in the second-line setting |
Table 4 Genomic differences between human immunodeficiency virus-positive and -negative diffuse large B-cell lymphoma
| Gene/feature | HIV+ DLBCL | HIV- DLBCL | P value |
| TP53 mutation | More frequent, diverse | Less frequent | < 0.05 |
| MYD88 mutation | Significantly reduced | Common (especially in MCD subtype) | < 0.05 |
| CD79B mutation | Significantly reduced | Common | < 0.05 |
| PIM1 mutation | Significantly reduced | Common | < 0.05 |
| MYC mutation (SNV) | More frequent | Less frequent | < 0.05 |
| LRP1B/TYK2 mutation | Higher frequency | Lower frequency | < 0.05 |
| LymphGen ‘unclassified’ proportion | Higher | Lower | < 0.05 |
- Citation: Guo BL, Lei HK, Liu Y. Precision medicine in diffuse large B-cell lymphoma: Integrating molecular biomarkers, targeted therapies, and prognostic tools. World J Clin Oncol 2026; 17(9): 125602
- URL: https://www.wjgnet.com/2218-4333/full/v17/i9/125602.htm
- DOI: https://dx.doi.org/10.5306/wjco.125602