Suppr超能文献

原发性睾丸弥漫性大B细胞淋巴瘤的预后基因表达、微小RNA谱特征及基因改变

Prognostic gene expression and microRNA profiling signatures and genetic alterations in primary testicular diffuse large B-cell lymphoma.

作者信息

Shi Wenyu, Xu-Monette Zijun Y, Jia Youchao, Tzankov Alexandar, Go Heounjeong, Li Ling, Ponzoni Maurilio, Wang Yafei, Zhai Qiongli, Perry Anamarija M, Wang Shi, Wang Xiaoxiao, Chiu April, Xu Mina L, Visco Carlo, Dybkaer Karen, Withers Henry, Long Mark, Yuan Alyssa F, Miao Yi, Macias Everardo, Wu Dehong, Shuai Wen, Wang Bangchen, Li Jianyong, Bhagat Govind, Zu Youli, Pan Zenggang, Choi William, Montes-Moreno Santiago, Chen Weina, Krieken J Han van, Møller Michael B, Yu Xinfang, Parsons Benjamin M, Zhang Shanxiang, Hsi Eric D, Sohani Aliyah R, Abramson Jeremy S, Ferreri Andrés J M, Xu Bing, Li Yong, Young Ken H

机构信息

Hematopathology Division and Department of Pathology, Duke University Medical Center, Durham, NC, USA.

Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.

出版信息

Blood Cancer J. 2025 Jul 17;15(1):123. doi: 10.1038/s41408-025-01323-8.

Abstract

Primary testicular (PT) diffuse large B-cell lymphoma (DLBCL) is a rare and aggressive lymphoma with distinct clinical and molecular characteristics. To identify prognostic biomarkers in PT-DLBCL, in this study we analyzed DNA and RNA samples of PT-DLBCL tumors from 206 patients using next-generation sequencing platforms and assays. Genetic alteration analysis found that multiple chromosomal copy number variations (CNVs), TP53 transcript mutations with high variant allele frequency, and MCD subtype had significantly adverse prognostic effects, whereas elevated microsatellite instability had a significantly favorable prognostic effect in PT-DLBCL. Targeted RNA-seq analysis identified a PTL gene expression signature by comparing PT-DLBCL with systemic DLBCL and revealed the heterogeneity within PT-DLBCL by unsupervised clustering, which classified PT-DLBCLs into a testicular lymphoma tumor (TLT) subtype and a microenvironment (ME) subtype. The TLT subtype featured upregulation of genes functioning in DNA damage response, DNA repair, chromatin remodeling, the cell cycle, and the nucleus, and was associated with significantly poorer patient survival and higher frequencies of MYD88 mutations, multiple CNVs, MCD subtype, bulk tumors, and elderly patients in the PT-DLBCL cohort. In contrast, the ME subtype distinctively featured upregulation of various signaling pathway genes involving the tumor microenvironment and downregulation of BTK and B-cell receptor signaling genes, and was associated with significantly better clinical outcome than the TLT subtype of PT-DLBCL independently of CNVs, MCD and MYD88 mutation and than systemic DLBCL. Moreover, genomic microRNA profiling analysis identified a PTL microRNA signature significantly differentially expressed between PT-DLBCL and systemic DLBCL patients and within the PT-DLBCL cohort, and PT-DLBCL patients with higher expression of 16 PTL microRNAs (14 are testicular tissue-specific) had significantly better survival. In summary, this study revealed the molecular heterogeneity in genetic abnormalities and expression profiles of coding genes and microRNAs within the PT-DLBCL entity, and identified significant prognostic biomarkers and PTL signatures.

摘要

原发性睾丸(PT)弥漫性大B细胞淋巴瘤(DLBCL)是一种罕见的侵袭性淋巴瘤,具有独特的临床和分子特征。为了鉴定PT-DLBCL中的预后生物标志物,在本研究中,我们使用下一代测序平台和检测方法分析了206例PT-DLBCL肿瘤的DNA和RNA样本。基因改变分析发现,多个染色体拷贝数变异(CNV)、具有高变异等位基因频率的TP53转录突变以及MCD亚型具有显著不良的预后影响,而微卫星不稳定性升高在PT-DLBCL中具有显著良好的预后影响。靶向RNA测序分析通过将PT-DLBCL与系统性DLBCL进行比较,确定了一个PTL基因表达特征,并通过无监督聚类揭示了PT-DLBCL内部的异质性,将PT-DLBCL分为睾丸淋巴瘤肿瘤(TLT)亚型和微环境(ME)亚型。TLT亚型的特征是在DNA损伤反应、DNA修复、染色质重塑、细胞周期和细胞核中发挥作用的基因上调,并且与PT-DLBCL队列中患者生存显著较差以及MYD88突变、多个CNV、MCD亚型、实体瘤和老年患者的频率较高相关。相比之下,ME亚型的独特特征是涉及肿瘤微环境的各种信号通路基因上调以及BTK和B细胞受体信号基因下调,并且与PT-DLBCL的TLT亚型相比,独立于CNV、MCD和MYD88突变,其临床结局显著更好,且优于系统性DLBCL。此外,基因组微小RNA谱分析确定了一个在PT-DLBCL和系统性DLBCL患者之间以及PT-DLBCL队列内部显著差异表达的PTL微小RNA特征,并且16种PTL微小RNA(14种是睾丸组织特异性的)表达较高的PT-DLBCL患者生存显著更好。总之,本研究揭示了PT-DLBCL实体中基因异常以及编码基因和微小RNA表达谱中的分子异质性,并确定了显著的预后生物标志物和PTL特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a6b/12271531/c5af1fce8425/41408_2025_1323_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验