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Genomic and transcriptomic profiling reveals distinct molecular subsets associated with outcomes in mantle cell lymphoma

Authors :
Shuhua Yi
Yuting Yan
Meiling Jin
Supriyo Bhattacharya
Yi Wang
Yiming Wu
Lu Yang
Eva Gine
Guillem Clot
Lu Chen
Ying Yu
Dehui Zou
Jun Wang
An T. Phan
Rui Cui
Fei Li
Qi Sun
Qiongli Zhai
Tingyu Wang
Zhen Yu
Lanting Liu
Wei Liu
Rui Lyv
Weiwei Sui
Wenyang Huang
Wenjie Xiong
Huijun Wang
Chengwen Li
Zhijian Xiao
Mu Hao
Jianxiang Wang
Tao Cheng
Silvia Bea
Alex F. Herrera
Alexey Danilov
Elias Campo
Vu N. Ngo
Lugui Qiu
Lili Wang
Source :
The Journal of Clinical Investigation, Vol 132, Iss 3 (2022)
Publication Year :
2022
Publisher :
American Society for Clinical Investigation, 2022.

Abstract

Mantle cell lymphoma (MCL) is a phenotypically and genetically heterogeneous malignancy in which the genetic alterations determining clinical indications are not fully understood. Here, we performed a comprehensive whole-exome sequencing analysis of 152 primary samples derived from 134 MCL patients, including longitudinal samples from 16 patients and matched RNA-Seq data from 48 samples. We classified MCL into 4 robust clusters (C1–C4). C1 featured mutated immunoglobulin heavy variable (IGHV), CCND1 mutation, amp(11q13), and active B cell receptor (BCR) signaling. C2 was enriched with del(11q)/ATM mutations and upregulation of NF-κB and DNA repair pathways. C3 was characterized by mutations in SP140, NOTCH1, and NSD2, with downregulation of BCR signaling and MYC targets. C4 harbored del(17p)/TP53 mutations, del(13q), and del(9p), and active MYC pathway and hyperproliferation signatures. Patients in these 4 clusters had distinct outcomes (5-year overall survival [OS] rates for C1–C4 were 100%, 56.7%, 48.7%, and 14.2%, respectively). We also inferred the temporal order of genetic events and studied clonal evolution of 16 patients before treatment and at progression/relapse. Eleven of these samples showed drastic clonal evolution that was associated with inferior survival, while the other samples showed modest or no evolution. Our study thus identifies genetic subsets that clinically define this malignancy and delineates clonal evolution patterns and their impact on clinical outcomes.

Subjects

Subjects :
Genetics
Oncology
Medicine

Details

Language :
English
ISSN :
15588238
Volume :
132
Issue :
3
Database :
Directory of Open Access Journals
Journal :
The Journal of Clinical Investigation
Publication Type :
Academic Journal
Accession number :
edsdoj.6d87e58a54f1989757746f00799c8
Document Type :
article
Full Text :
https://doi.org/10.1172/JCI153283