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A single-cell atlas of diffuse large B cell lymphoma
Diffuse large B cell lymphoma (DLBCL) is one of the most common yet aggressive types of B cell lymphoma and remains incurable in 40% of patients. Herein, we profile the transcriptomes of 94,324 cells from 17 DLBCLs and 3 control samples using single-cell RNA sequencing. Altogether, 73 gene expressio...
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Published in: | Cell reports (Cambridge) 2022-04, Vol.39 (3), p.110713-110713, Article 110713 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Diffuse large B cell lymphoma (DLBCL) is one of the most common yet aggressive types of B cell lymphoma and remains incurable in 40% of patients. Herein, we profile the transcriptomes of 94,324 cells from 17 DLBCLs and 3 control samples using single-cell RNA sequencing. Altogether, 73 gene expression programs are identified in malignant cells, demonstrating high intra- and intertumor heterogeneity. Furthermore, 2,754 pairs of suggestive cell-cell interactions are predicted, indicating a complex and highly dynamic tumor microenvironment. Especially for B cell lymphomas, a strong costimulatory CD70-CD27 interaction is predicted between malignant and T cells. Furthermore, coinhibitory signals mediated by TIM3 or TIGIT seem to be the main driving force for T cell exhaustion. Finally, we find that chronic hepatitis B virus infection may have a significant impact on tumor cell survival and immune evasion in DLBCL. Our results provide insights into B cell lymphomagenesis and may facilitate the design of targeted immunotherapy strategies.
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•High intra- and intertumor heterogeneity in DLBCL is observed by single-cell RNA-seq•TME cells may promote DLBCL activation/survival by CD40- fand BAFF-mediated signals•Coinhibitory signals through TIM3 and TIGIT may drive T cell exhaustion in DLBCL•HBV infection likely contributes to malignant cell survival/immune evasion in DLBCL
Using single-cell RNA sequencing, Ye et al. demonstrate that genetic diversity within tumors, potential interactions between malignant and tumor-infiltrating cells, and viral infections may all contribute to the marked disease heterogeneity in DLBCL. |
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ISSN: | 2211-1247 2211-1247 |
DOI: | 10.1016/j.celrep.2022.110713 |