滤泡性淋巴瘤
恶性转化
表型
转录组
肿瘤微环境
癌症研究
淋巴瘤
转化(遗传学)
单细胞分析
癌症的体细胞进化
生物
细胞
肿瘤细胞
计算生物学
免疫学
基因
遗传学
基因表达
作者
Clémentine Sarkozy,Shaocheng Wu,Katsuyoshi Takata,Tomohiro Aoki,Susana Ben Neriah,Katy Milne,Talia Goodyear,Celia Strong,Tashi Rastogi,Laura K. Hilton,Daniel Lai,Laurie H. Sehn,Pedro Farinha,Brad H. Nelson,Andrew P. Weng,Marco A. Marra,David W. Scott,Jeffrey W. Craig,Christian Steidl,Andrew Roth
出处
期刊:Cancer Cell
[Elsevier]
日期:2024-06-01
卷期号:42 (6): 1003-1017.e6
标识
DOI:10.1016/j.ccell.2024.05.011
摘要
Histological transformation of follicular lymphoma (FL) to aggressive forms is associated with poor outcome. Phenotypic consequences of this evolution and its impact on the tumor microenvironment (TME) remain unknown. We perform single-cell whole genome sequencing (scWGS) and transcriptome sequencing (scWTS) of 11 paired pre/post-transformation patient samples and scWTS of additional samples from patients without transformation. Our analysis reveals evolutionary dynamics of transformation at single-cell resolution, highlighting a shifting TME landscape, with an emerging immune-cell exhaustion signature, co-evolving with the shifting malignant B phenotype in a regulatory ecosystem. Integration of scWGS and scWTS identifies malignant cell pathways upregulated during clonal tumor evolution. Using multi-color immunofluorescence, we transfer these findings to a TME-based transformation biomarker, subsequently validated in two independent pretreatment cohorts. Taken together, our results provide a comprehensive view of the combined genomic and phenotypic evolution of malignant cells during transformation and shifting crosstalk between malignant cells and the TME.
科研通智能强力驱动
Strongly Powered by AbleSci AI