ArticlePathobiology : journal of immunopathology, molecular and cellular biology2024
Molecular Characterization and Genetic Subclassification Comparison of Diffuse Large B-Cell Lymphoma: Real-Life Experience with 74 Cases.
Article in Pathobiology : journal of immunopathology, molecular and cellular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- SPEN Loss Drives Extrafollicular Diffuse Large B-cell Lymphoma with Female-Specific Lethality and Therapeutic Vulnerabilities.Cancer discovery · 2026Article
- Distribution and prognostic impact of LymphGen subtypes in Korean diffuse large B-cell lymphoma using clinical NGS panel.Blood advances · 2026Article
- PDL1-expressing macrophages infiltrate diffuse large B-cell lymphoma and promote lymphoma growth in a MYC-driven experimental model.Blood cancer journal · 2025Article
- Molecular Subtypes and the Role of TP53 in Diffuse Large B-Cell Lymphoma and Richter Syndrome.Cancers · 2024Review
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Abstract
introductionDiffuse large B-cell lymphoma (DLBCL) is a heterogeneous entity. Lately, several algorithms achieving therapeutically and prognostically relevant DLBCL subclassification have been published.
methodsA cohort of 74 routine DLBCL cases was broadly characterized by immunohistochemistry (IHC), fluorescence in situ hybridization (FISH) of the BCL2, BCL6, and MYC loci, and comprehensive high-throughput sequencing (HTS). Based on the genetic alterations found, cases were reclassified using two probabilistic tools - LymphGen and Two-step classifier, allowing for comparison of the two models.
resultsHans and Tally's overall IHC-based subclassification success rate was 96% and 82%, respectively. HTS and FISH data allowed the LymphGen algorithm to successfully classify 11/55 cases (1 - BN2, 7 - EZB, 1 - MCD, and 2 - genetically composite EZB/N1). The total subclassification rate was 20%. On the other hand, the Two-step classifier categorized 36/55 cases, with 65.5% success (9 - BN2, 12 - EZB, 9 - MCD, 2 - N1, and 4 - ST2). Clinical correlations highlighted MCD as an aggressive subtype associated with higher relapse and mortality.
conclusionsThe Two-step algorithm has a better success rate at subclassifying DLBCL cases based on genetic differences. Further improvement of the classifiers is required to increase the number of classifiable cases and thus prove their applicability in routine diagnostics.
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