Clinical and Pathological Features that Predict High-Grade B-Cell Lymphomas (HGBCLs) with MYC and BCL2 or BCL6 Translocations (Double-Hit Lymphoma): A Systematic Review and Meta-Analysis

Background/Objectives: High-grade B-cell lymphomas (HGBCLs) with MYC and BCL2 or BCL6 translocations, colloquially referred to as double-hit lymphomas (and abbreviated here to DHL), are aggressive malignancies. Differentiating DHL from non-DHL HGBCLs is important, as DHL patients may benefit from more intensive treatment regimes. We aimed to identify predictive clinicopathological, morphological and immunophenotypic features that could guide selection of HGBCLs for fluorescence in-situ hybridization (FISH), which is expensive and less accessible in some centers. Methods: We conducted a PRISMA systematic review and meta-analysis on 29 studies identified from four databases (PubMed (MEDLINE), Ovid (Embase), Web of Science and Scopus). We calculated risk ratios (RRs) to compare features between DHL and non-DHL HGBCL, and between MYC/BCL2 and MYC/BCL6 DHL patients. Results: DHL patients were associated with higher Ann Arbor stage (RR 1.15, p = 0.028, I2 = 38.7%), International Prognostic Index (IPI) score (RR 1.27, p = 0.047, I2 = 37.9%), elevated lactate dehydrogenase (RR 1.26, p = 0.012, I2 = 34.0%) and germinal center B-cell-like (GCB) immunophenotype (RR 1.21, p = 0.043, I2 = 35.8%) compared to non-DHL HGBCL patients. c-Myc im-munopositivity, extranodal disease and bone marrow involvement were more likely in DHL, albeit not reaching statistical significance. Extranodal disease (p = 0.015, I2 = 0.0%), central nervous system involvement (p = 0.044, I2 = 0.0%) and non-GCB immunophe-notype (p = 0.016, I2 = 71.1%) were more likely in MYC/BCL6 compared to MYC/BCL2 DHL patients. BCL2 immunopositivity, CD10 immunopositivity and MUM1 im-munonegativity were more likely in MYC/BCL2 DHL although the differences were not statistically significant. Conclusions: Our results have associated DHL with features of aggressive disease and found GCB immunophenotype as a histopathological feature with statistically significant predictive value for MYC/BCL2 DHL. Heterogeneity within the non-DHL HGBCL group and variation in immunohistochemical cut-off values between studies limited identification of other predictive features. Larger, consistently designed, prospective cohort studies could provide further evidence for a screening strategy for DHL.

Authors

Publication Details

Journal
Apollo
Published
2026-06-16
DOI
https://doi.org/10.17863/cam.131149
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical and Pathological Features that Predict High-Grade B-Cell Lymphomas (HGBCLs) with MYC and BCL2 or BCL6 Translocations (Double-Hit Lymphoma): A Systematic Review and Meta-Analysis

Han-Chieh Yang, Wai Ying Katherine Wong, Ernest Lee, Elizabeth J. Soilleux
Apollo
Lymphoma Diagnosis and Treatment
article

Clinical and Pathological Features that Predict High-Grade B-Cell Lymphomas (HGBCLs) with MYC and BCL2 or BCL6 Translocations (Double-Hit Lymphoma): A Systematic Review and Meta-Analysis

Han-Chieh Yang, Wai Ying Katherine Wong, Ernest Lee, Elizabeth J. Soilleux
article en

Abstract

Background/Objectives: High-grade B-cell lymphomas (HGBCLs) with MYC and BCL2 or BCL6 translocations, colloquially referred to as double-hit lymphomas (and abbreviated here to DHL), are aggressive malignancies. Differentiating DHL from non-DHL HGBCLs is important, as DHL patients may benefit from more intensive treatment regimes. We aimed to identify predictive clinicopathological, morphological and immunophenotypic features that could guide selection of HGBCLs for fluorescence in-situ hybridization (FISH), which is expensive and less accessible in some centers. Methods: We conducted a PRISMA systematic review and meta-analysis on 29 studies identified from four databases (PubMed (MEDLINE), Ovid (Embase), Web of Science and Scopus). We calculated risk ratios (RRs) to compare features between DHL and non-DHL HGBCL, and between MYC/BCL2 and MYC/BCL6 DHL patients. Results: DHL patients were associated with higher Ann Arbor stage (RR 1.15, p = 0.028, I2 = 38.7%), International Prognostic Index (IPI) score (RR 1.27, p = 0.047, I2 = 37.9%), elevated lactate dehydrogenase (RR 1.26, p = 0.012, I2 = 34.0%) and germinal center B-cell-like (GCB) immunophenotype (RR 1.21, p = 0.043, I2 = 35.8%) compared to non-DHL HGBCL patients. c-Myc im-munopositivity, extranodal disease and bone marrow involvement were more likely in DHL, albeit not reaching statistical significance. Extranodal disease (p = 0.015, I2 = 0.0%), central nervous system involvement (p = 0.044, I2 = 0.0%) and non-GCB immunophe-notype (p = 0.016, I2 = 71.1%) were more likely in MYC/BCL6 compared to MYC/BCL2 DHL patients. BCL2 immunopositivity, CD10 immunopositivity and MUM1 im-munonegativity were more likely in MYC/BCL2 DHL although the differences were not statistically significant. Conclusions: Our results have associated DHL with features of aggressive disease and found GCB immunophenotype as a histopathological feature with statistically significant predictive value for MYC/BCL2 DHL. Heterogeneity within the non-DHL HGBCL group and variation in immunohistochemical cut-off values between studies limited identification of other predictive features. Larger, consistently designed, prospective cohort studies could provide further evidence for a screening strategy for DHL.

Apollo
Openalex Percentile: Top 8%
Lymphoma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.