New study reveals E2F and CREB as a novel therapeutic option for testicular DLBCL patients
Primary testicular diffuse large B-cell lymphomas (PT-DLBCL), the most prevalent subtype of testicular lymphoma, occurs in an immune-privileged site within the testis. Although advances in genomic technologies have resulted in remarkable progress in understanding the pathogenesis of DLBCLs, the characterization of the tumor microenvironment (TME) and spatial organization of PT-DLBCL remains unclear.
This research, published in the Genes & Diseases journal by a team from Zhejiang University, Nantong University, Shanghai Jiao Tong University and Singleron Biotechnologies Ltd., utilized single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics to identify the tissue architecture of PT-DLBCL.
Single-cell RNA-sequencing analysis of normal human testis, paracancerous,
and cancer tissues obtained from a patient with testicular DLBCL

(A) Schematic of the experimental design and analysis. Paracancerous and cancer tissues obtained from surgically resected DLBCLs were split and processed for scRNA-seq and spatial transcriptomics. (B) Single-cell expression of all cells from healthy, paracancerous, and testicular DLBCL tissues. The red, blue, and orange colors represent cancerous, healthy, and paracancerous cells, respectively. (C) UMAP plot of cells from Figure 1B. Cell types: germ cells, B cells, Sertoli cells, pericytes, Leydig cells, macrophages, T cells, and endothelial cells. (D) Percentages of different cell types in cancerous, paracancerous, and normal cells. (E) Representative gene expression for each cell type. (F) Immunohistochemical staining of primary testicular DLBCL. (+++) represents high expression; (++) represents mild expression; (+) represents low expression; and (−) represents negative expression.
The initial investigation involved profiling of the transcriptomes of 19,559 single cells derived from a PT-DLBCL patient via scRNA-seq. The results revealed that the PT-DLBCL TME was predominantly composed of three exhausted CD8+ T cell subpopulations and two B cell subpopulations. Further analysis by the research team revealed significant genetic heterogeneity, providing a deeper understanding of the tumor’s cellular diversity.
Interestingly, the researchers noted that B1 cells constituted 16% of the TME and exhibited a clustered distribution, suggesting a role in tumor progression through distant metastasis. Moreover, inhibition of critical transcription factors, E2F and CREB, reduced cell proliferation, induced apoptosis in human B-lymphoma cells, and inhibited tumor growth in testicular DLBCL xenograft models, underscoring their potential as novel therapeutic targets.
Using chromatin immunoprecipitation sequencing (ChIP-seq), this study identified the enriched loci of E2F and CREB that regulate human B-lymphoma cell proliferation and apoptosis. Additionally, spatial transcriptomics unveiled the spatial architecture of the TME in DLBCL, where exhausted T cells were strategically positioned around tumor B cells, while macrophages formed an outer ring, encircling the exhausted T cells. Concurrently, the researchers also delineated the expression patterns of key genes such as MALAT1, RPS3A, RPS7, RPS23, RPS27A, IGHM, HINT1, and HSPA8 across various regions.
Despite significant findings, this study has certain limitations, including the use of single patient samples and uneven experimental group sizes. Nonetheless, this study offers insight into the tumorigenic progression mechanisms and potential novel therapeutic opportunities associated with PT-DLBCL.
Source – Compuscript Ltd
New study reveals E2F and CREB as a novel therapeutic option for testicular DLBCL patients
Primary testicular diffuse large B-cell lymphomas (PT-DLBCL), the most prevalent subtype of testicular lymphoma, occurs in an immune-privileged site within the testis. Although advances in genomic technologies have resulted in remarkable progress in understanding the pathogenesis of DLBCLs, the characterization of the tumor microenvironment (TME) and spatial organization of PT-DLBCL remains unclear.
This research, published in the Genes & Diseases journal by a team from Zhejiang University, Nantong University, Shanghai Jiao Tong University and Singleron Biotechnologies Ltd., utilized single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics to identify the tissue architecture of PT-DLBCL.
Single-cell RNA-sequencing analysis of normal human testis, paracancerous,
and cancer tissues obtained from a patient with testicular DLBCL
(A) Schematic of the experimental design and analysis. Paracancerous and cancer tissues obtained from surgically resected DLBCLs were split and processed for scRNA-seq and spatial transcriptomics. (B) Single-cell expression of all cells from healthy, paracancerous, and testicular DLBCL tissues. The red, blue, and orange colors represent cancerous, healthy, and paracancerous cells, respectively. (C) UMAP plot of cells from Figure 1B. Cell types: germ cells, B cells, Sertoli cells, pericytes, Leydig cells, macrophages, T cells, and endothelial cells. (D) Percentages of different cell types in cancerous, paracancerous, and normal cells. (E) Representative gene expression for each cell type. (F) Immunohistochemical staining of primary testicular DLBCL. (+++) represents high expression; (++) represents mild expression; (+) represents low expression; and (−) represents negative expression.
The initial investigation involved profiling of the transcriptomes of 19,559 single cells derived from a PT-DLBCL patient via scRNA-seq. The results revealed that the PT-DLBCL TME was predominantly composed of three exhausted CD8+ T cell subpopulations and two B cell subpopulations. Further analysis by the research team revealed significant genetic heterogeneity, providing a deeper understanding of the tumor’s cellular diversity.
Interestingly, the researchers noted that B1 cells constituted 16% of the TME and exhibited a clustered distribution, suggesting a role in tumor progression through distant metastasis. Moreover, inhibition of critical transcription factors, E2F and CREB, reduced cell proliferation, induced apoptosis in human B-lymphoma cells, and inhibited tumor growth in testicular DLBCL xenograft models, underscoring their potential as novel therapeutic targets.
Using chromatin immunoprecipitation sequencing (ChIP-seq), this study identified the enriched loci of E2F and CREB that regulate human B-lymphoma cell proliferation and apoptosis. Additionally, spatial transcriptomics unveiled the spatial architecture of the TME in DLBCL, where exhausted T cells were strategically positioned around tumor B cells, while macrophages formed an outer ring, encircling the exhausted T cells. Concurrently, the researchers also delineated the expression patterns of key genes such as MALAT1, RPS3A, RPS7, RPS23, RPS27A, IGHM, HINT1, and HSPA8 across various regions.
Despite significant findings, this study has certain limitations, including the use of single patient samples and uneven experimental group sizes. Nonetheless, this study offers insight into the tumorigenic progression mechanisms and potential novel therapeutic opportunities associated with PT-DLBCL.
Source – Compuscript Ltd
Wu X, Shi J, Lu M, Yun D, Gao S, Hu L, Sun F. (2025) The integration of single-cell RNA sequencing and spatial transcriptomics reveals the tumor microenvironment and spatial organization of testicular diffuse large B-cell lymphomas. Genes & Diseases, 12(4): 101475. [article]
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New study reveals E2F and CREB as a novel therapeutic option for testicular DLBCL patients
Primary testicular diffuse large B-cell lymphomas (PT-DLBCL), the most prevalent subtype of testicular lymphoma, occurs in an immune-privileged site within the testis. Although advances in genomic technologies have resulted in remarkable progress in understanding the pathogenesis of DLBCLs, the characterization of the tumor microenvironment (TME) and spatial organization of PT-DLBCL remains unclear.
This research, published in the Genes & Diseases journal by a team from Zhejiang University, Nantong University, Shanghai Jiao Tong University and Singleron Biotechnologies Ltd., utilized single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics to identify the tissue architecture of PT-DLBCL.
Single-cell RNA-sequencing analysis of normal human testis, paracancerous,
and cancer tissues obtained from a patient with testicular DLBCL
(A) Schematic of the experimental design and analysis. Paracancerous and cancer tissues obtained from surgically resected DLBCLs were split and processed for scRNA-seq and spatial transcriptomics. (B) Single-cell expression of all cells from healthy, paracancerous, and testicular DLBCL tissues. The red, blue, and orange colors represent cancerous, healthy, and paracancerous cells, respectively. (C) UMAP plot of cells from Figure 1B. Cell types: germ cells, B cells, Sertoli cells, pericytes, Leydig cells, macrophages, T cells, and endothelial cells. (D) Percentages of different cell types in cancerous, paracancerous, and normal cells. (E) Representative gene expression for each cell type. (F) Immunohistochemical staining of primary testicular DLBCL. (+++) represents high expression; (++) represents mild expression; (+) represents low expression; and (−) represents negative expression.
The initial investigation involved profiling of the transcriptomes of 19,559 single cells derived from a PT-DLBCL patient via scRNA-seq. The results revealed that the PT-DLBCL TME was predominantly composed of three exhausted CD8+ T cell subpopulations and two B cell subpopulations. Further analysis by the research team revealed significant genetic heterogeneity, providing a deeper understanding of the tumor’s cellular diversity.
Interestingly, the researchers noted that B1 cells constituted 16% of the TME and exhibited a clustered distribution, suggesting a role in tumor progression through distant metastasis. Moreover, inhibition of critical transcription factors, E2F and CREB, reduced cell proliferation, induced apoptosis in human B-lymphoma cells, and inhibited tumor growth in testicular DLBCL xenograft models, underscoring their potential as novel therapeutic targets.
Using chromatin immunoprecipitation sequencing (ChIP-seq), this study identified the enriched loci of E2F and CREB that regulate human B-lymphoma cell proliferation and apoptosis. Additionally, spatial transcriptomics unveiled the spatial architecture of the TME in DLBCL, where exhausted T cells were strategically positioned around tumor B cells, while macrophages formed an outer ring, encircling the exhausted T cells. Concurrently, the researchers also delineated the expression patterns of key genes such as MALAT1, RPS3A, RPS7, RPS23, RPS27A, IGHM, HINT1, and HSPA8 across various regions.
Despite significant findings, this study has certain limitations, including the use of single patient samples and uneven experimental group sizes. Nonetheless, this study offers insight into the tumorigenic progression mechanisms and potential novel therapeutic opportunities associated with PT-DLBCL.
Source – Compuscript Ltd
Wu X, Shi J, Lu M, Yun D, Gao S, Hu L, Sun F. (2025) The integration of single-cell RNA sequencing and spatial transcriptomics reveals the tumor microenvironment and spatial organization of testicular diffuse large B-cell lymphomas. Genes & Diseases, 12(4): 101475. [article]
Related Posts
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
A real-data approach to evaluating RNA transcript analysis methods
Detection and sequencing of Ap2N-capped RNAs in human cells
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