Establishment of a primary renal lymphoma model and its clinical relevance

Front Oncol. 2023 Aug 28:13:1089187. doi: 10.3389/fonc.2023.1089187. eCollection 2023.

Abstract

Extranodal dissemination is an important feature of aggressive B-cell lymphoma. Owing to the lack of available animal models, the study on extranodal dissemination of lymphoma is greatly limited. Here, we identified a novel cell line, named MA-K, which originated from the Eμ-Myc;Cdkn2a-/- cell line, named MA-LN in this study. Compared to MA-LN, MA-K tended to disseminate in the kidney rather than the lymph nodes in the lymphoma transplantation model, resembling human primary renal lymphoma. The transcriptome analysis revealed that MA-K had undergone transcriptional evolution during the culture. The specialized transcriptional pattern analysis we proposed in this study identified that the FOXO1-BTG1-MYD88 pattern was formed in MA-K. Further analysis found that the translation pathway was the most enriched pathway in specially expressed genes (SEGs) in MA-K. Among the SEGs, three upregulated genes, RPLP2, RPS16, and MRPS16, and five downregulated genes, SSPN, CD52, ANKRD37, CCDC82, and VPREB3, in MA-K were identified as promising biomarkers to predict the clinical outcomes of human DLBCL. Moreover, the joint expression of the five-gene signature could effectively predict clinical outcomes of human DLBCL in three groups. These findings suggested that the MA-K cell line had strong clinical relevance with human aggressive B-cell lymphoma. Moreover, the MA-K primary renal lymphoma model, as a novel syngenetic mouse model, will be greatly useful for both basic research on lymphoma dissemination and preclinical efficacy evaluation of chemotherapy and immunotherapy.

Keywords: LymphGen; MA-K; MCD subtype; aggressive B-cell lymphoma; extranodal dissemination; extranodal lymphoma; primary renal lymphoma; translation pathway.

Grants and funding

This work was supported by the National Natural Science Foundation of China (Grant Number 81900200), the Natural Science Foundation of Jiangsu Province (Grant Number BK20190840), and the Foundation of State Key Laboratory of Cell Biology (Grant Number SKLCB2018KF008).