The Mutation of BTG2 Gene Predicts a Poor Outcome in Primary Testicular Diffuse Large B-Cell Lymphoma

BTG2基因突变预示原发性睾丸弥漫性大B细胞淋巴瘤预后不良

阅读:2
作者:Dan Guo # ,Lemin Hong # ,Hao Ji # ,Yuwen Jiang ,Ling Lu ,Xinfeng Wang ,Hongming Huang

Abstract

Introduction: Primary testicular diffuse large B-cell lymphoma (PT-DLBCL) is a rare and aggressive form of mature B-cell lymphoma commonly found in elder males, but its genetic features are poorly understood. In this study, we had performed target-sequencing of 360 lymphoma-related genes on 76 PT-DLBCL patients with a median age of 65 (33-89). Our data provide a comprehensive understanding of the landscape of mutations in a small subset of PT-DLBCL. Methods: A total of 76 PT-DLBCL patients were sequenced, and their clinical data and follow-up data were collected. The relationship between mutated genes, clinical data and prognosis and survival of PT-DLBCL patients was retrospectively analyzed by statistical software. Results: We observed a median of 15 protein-altering variants per patient in our data and was identified recurrent oncogenic mutations of 360 lymphoma-related genes involved in PT-DLBCL, including PIM1 (74%), MYD88 (50%), KMT2D (38%), KMT2C (34%), BTG2 (34%), TBL1XR1 (34%) and ETV6 (24%). Compared with classic DLBCL, PT-DLBCL showed an increased mutation frequency of PIM1, MYD88, BTG2, while NOTCH1 appeared exclusive mutated with PIM1, MSH3 and ETV6. Cox risk model regression analysis showed that age ≥60 years, IPI 3-5 points, BTG2 gene mutation and extranodal organ invasion suggested poor prognosis. Finally, we constructed an OS predict model of PT-DLBCL patients using above factors with a high accuracy. Conclusion: In conclusion, our results revealed genomic characterization of PT-DLBCL, and the mutation of BTG2 was an independent factor predicting a poor prognosis. Keywords: BTG2; genetic mutation; primary testicular diffuse large B-cell lymphoma; prognosis; survival.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。