Digital Spatial Profiling Uncovers Transcriptomic Features of Distinct Plasma Cell-like Phenotypes in Diffuse Large B-cell Lymphoma

Diffuse large B-cell lymphoma (DLBCL) exhibits marked heterogeneity, complicating treatment and prognosis. The role of plasma cell-like phenotypes in DLBCL remains underexplored. Using spatially-resolved transcriptomics, we profiled four distinct plasma cell-like phenotypes in DLBCL based on CD20, HLA-DRA, and PRDM1 markers: CD20(+)HLA-DRA(+)PRDM1(-), CD20(+)HLA-DRA(+)PRDM1(+), CD20(+)HLA-DRA(-)PRDM1(-), and CD20(+)HLA-DRA(-)PRDM1(+). The CD20(+)HLA-DRA(+)PRDM1(-) phenotype (non-plasma cell-like phenotype) was associated with better prognosis whereas the other three phenotypes (plasma cell-like phenotypes) correlated with worse prognosis. Patients with >30% plasma cell-like phenotype cells were classified as DLBCL plasma cell-like phenotype predominant (DLBCLPCPP), and those with ≤30% as DLBCL plasma cell-like phenotype deficient (DLBCLPCPD). Plasma cell-like phenotype cells correlated with reduced proliferation, impaired immune function, and enhanced tumor microenvironment remodeling. DLBCLPCPP demonstrated a lower proportion of patients with Ki-67 ≥85% (29.6% vs. 53.9%, p=0.0198), similar responses to first-line treatment (92.6% vs. 92.6%, p=1.00), but a higher rate of disease progression within 12 months (25.9% vs. 3.7%, p=0.0238) and an increased incidence of B2M alterations (22.2% vs. 3.7%, p=0.0509) compared to DLBCLPCPD. Transcriptomic analyses revealed closer proximity between plasma cell-like phenotype cells and plasmablastic lymphoma. Leveraging plasma cell-like phenotype-associated genes, we constructed a random forest model to predict response to bortezomib. High plasma cell-like phenotype signatures were linked to poorer progression-free survival (PFS) but greater benefit from R-CHOP plus bortezomib, while low-signature patients achieved better PFS with R-CHOP alone. These findings characterize the transcriptomic features of distinct plasma cell-like phenotypes in DLBCL, providing new insights into its prognostic relevance and potential for individualized treatment strategies.

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Journal
Blood Advances
Published
2026-03-26
DOI
https://doi.org/10.1182/bloodadvances.2025018014
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
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article

Digital Spatial Profiling Uncovers Transcriptomic Features of Distinct Plasma Cell-like Phenotypes in Diffuse Large B-cell Lymphoma

X M Xue, Haohua Zhu, Yuankai Shi, Xinrui Chen et al.
Blood Advances
Lymphoma Diagnosis and Treatment
article

Digital Spatial Profiling Uncovers Transcriptomic Features of Distinct Plasma Cell-like Phenotypes in Diffuse Large B-cell Lymphoma

X M Xue, Haohua Zhu, Yuankai Shi, Xinrui Chen, L. F. Tang, Tongji Xie, Zucheng Xie, Lin Gui, Liling Huang, Peng Liu, Xiaoli Feng, Jianliang Yang, Sheng Yang, Yan Qin
article en

Abstract

Diffuse large B-cell lymphoma (DLBCL) exhibits marked heterogeneity, complicating treatment and prognosis. The role of plasma cell-like phenotypes in DLBCL remains underexplored. Using spatially-resolved transcriptomics, we profiled four distinct plasma cell-like phenotypes in DLBCL based on CD20, HLA-DRA, and PRDM1 markers: CD20(+)HLA-DRA(+)PRDM1(-), CD20(+)HLA-DRA(+)PRDM1(+), CD20(+)HLA-DRA(-)PRDM1(-), and CD20(+)HLA-DRA(-)PRDM1(+). The CD20(+)HLA-DRA(+)PRDM1(-) phenotype (non-plasma cell-like phenotype) was associated with better prognosis whereas the other three phenotypes (plasma cell-like phenotypes) correlated with worse prognosis. Patients with >30% plasma cell-like phenotype cells were classified as DLBCL plasma cell-like phenotype predominant (DLBCLPCPP), and those with ≤30% as DLBCL plasma cell-like phenotype deficient (DLBCLPCPD). Plasma cell-like phenotype cells correlated with reduced proliferation, impaired immune function, and enhanced tumor microenvironment remodeling. DLBCLPCPP demonstrated a lower proportion of patients with Ki-67 ≥85% (29.6% vs. 53.9%, p=0.0198), similar responses to first-line treatment (92.6% vs. 92.6%, p=1.00), but a higher rate of disease progression within 12 months (25.9% vs. 3.7%, p=0.0238) and an increased incidence of B2M alterations (22.2% vs. 3.7%, p=0.0509) compared to DLBCLPCPD. Transcriptomic analyses revealed closer proximity between plasma cell-like phenotype cells and plasmablastic lymphoma. Leveraging plasma cell-like phenotype-associated genes, we constructed a random forest model to predict response to bortezomib. High plasma cell-like phenotype signatures were linked to poorer progression-free survival (PFS) but greater benefit from R-CHOP plus bortezomib, while low-signature patients achieved better PFS with R-CHOP alone. These findings characterize the transcriptomic features of distinct plasma cell-like phenotypes in DLBCL, providing new insights into its prognostic relevance and potential for individualized treatment strategies.

Blood Advances
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Peking Union Medical College Hospital (CN), Peking University Cancer Hospital (CN), Campo Arqueologico de Mertola (PT)
Good health and well-being
Openalex Percentile: Top 6%
Lymphoma Diagnosis and Treatment
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