Comprehensive Analysis of Single‐Cell and Bulk Transcriptomics Identified Regulatory T‐Cell Features as Predictors of Prognosis in Diffuse Large B‐Cell Lymphoma

Diffuse large B-cell lymphoma (DLBCL) is a biologically and clinically heterogeneous malignancy. Advances in transcriptomic and genetic profiling have significantly enhanced our understanding of the disease's intrinsic pathogenesis, uncovering numerous potential therapeutic targets. However, the impact of tumor-infiltrating Regulatory T cells (Tregs) on the prognosis of DLBCL remains controversial. Here, we developed a Treg-associated gene signature by integrating single-cell and bulk transcriptome data to predict the prognosis of DLBCL patients receiving standard immunochemotherapy. In total, 227 Tregs feature genes were identified, six of which were selected for constructing a prognostic signature. DLBCL patients possessing high-risk scores had significantly poorer survival outcomes than those who possess low-risk scores in NCICCR and validation cohorts. Mutations in PIM1, MYD88, DTX1, CARD11, CD79B, ETV6, BCL6, and CDKN2A were predominantly observed in the high-risk group, whereas alterations in TNFRSF14 and DNMT3A were more frequently detected in the low-risk group. Immune infiltration analysis revealed that the high-risk group exhibited an immunosuppressive microenvironment, whereas the low-risk group showed a higher abundance of non-cellular components in the tumor microenvironment (TME). Finally, the Treg features TNFRSF25 and SELL can effectively predict long-term responses to Axicabtagene Ciloleucel (Axi-cel) treatment. In summary, our study developed a prognostic signature consisting of six Treg feature genes by integrating single-cell and bulk transcriptomics to predict clinical outcomes in DLBCL patients. The risk signature was significantly associated with immunological characteristics.

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Publication Details

Journal
Hematological Oncology
Published
2025-03-01
DOI
https://doi.org/10.1002/hon.70050
Citations
4
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
4.18
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article

Comprehensive Analysis of Single‐Cell and Bulk Transcriptomics Identified Regulatory T‐Cell Features as Predictors of Prognosis in Diffuse Large B‐Cell Lymphoma

Lihua Qiu, Huilai Zhang, Ge Hu, Xianhuo Wang et al.
4 citations
Hematological Oncology
CAR-T cell therapy research
4.18
article

Comprehensive Analysis of Single‐Cell and Bulk Transcriptomics Identified Regulatory T‐Cell Features as Predictors of Prognosis in Diffuse Large B‐Cell Lymphoma

Lihua Qiu, Huilai Zhang, Ge Hu, Xianhuo Wang, Wei Li, Shiyong Zhou, Zhengzi Qian, Lanfang Li, Xue Han, Yao‐Li Cui
article en
4 citations

Abstract

Diffuse large B-cell lymphoma (DLBCL) is a biologically and clinically heterogeneous malignancy. Advances in transcriptomic and genetic profiling have significantly enhanced our understanding of the disease's intrinsic pathogenesis, uncovering numerous potential therapeutic targets. However, the impact of tumor-infiltrating Regulatory T cells (Tregs) on the prognosis of DLBCL remains controversial. Here, we developed a Treg-associated gene signature by integrating single-cell and bulk transcriptome data to predict the prognosis of DLBCL patients receiving standard immunochemotherapy. In total, 227 Tregs feature genes were identified, six of which were selected for constructing a prognostic signature. DLBCL patients possessing high-risk scores had significantly poorer survival outcomes than those who possess low-risk scores in NCICCR and validation cohorts. Mutations in PIM1, MYD88, DTX1, CARD11, CD79B, ETV6, BCL6, and CDKN2A were predominantly observed in the high-risk group, whereas alterations in TNFRSF14 and DNMT3A were more frequently detected in the low-risk group. Immune infiltration analysis revealed that the high-risk group exhibited an immunosuppressive microenvironment, whereas the low-risk group showed a higher abundance of non-cellular components in the tumor microenvironment (TME). Finally, the Treg features TNFRSF25 and SELL can effectively predict long-term responses to Axicabtagene Ciloleucel (Axi-cel) treatment. In summary, our study developed a prognostic signature consisting of six Treg feature genes by integrating single-cell and bulk transcriptomics to predict clinical outcomes in DLBCL patients. The risk signature was significantly associated with immunological characteristics.

Hematological OncologyVol. 43(2)
Tianjin Medical University Cancer Institute and Hospital (CN)
No poverty
Openalex Percentile: Top 6%
CAR-T cell therapy research
4.18
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