生物
皮肤T细胞淋巴瘤
癌症研究
疾病
癌症的体细胞进化
淋巴瘤
突变
表观遗传学
靶向治疗
表型
PI3K/AKT/mTOR通路
伊布替尼
CDKN2A
临床试验
生物信息学
黑色素瘤
基因表达谱
EZH2型
医学
进行性疾病
单细胞分析
侵袭性淋巴瘤
威尼斯人
免疫学
克隆(Java方法)
罗咪酯肽
损失函数
基因
治疗方法
作者
Hannah K. Dorando,Jared Andrews,Oam Khatavkar,Nicholas Borcherding,Yulia Korshunova,Gabriela Hakeman,Rodrigo Borgiani Panigassi,Phuong MN Vo,Ruei-yuan Tu,Diep Tran,Chaz Quinn,Jennifer A Schmidt,Jahnavi Aluri,Michael T. Harmon,Marcus P. Watkins,Anastasia Frank,Megan Anne Cooper,Amy Musiek,Neha Mehta-Shah,Jacqueline E. Payton
出处
期刊:Blood
[Elsevier BV]
日期:2026-02-09
标识
DOI:10.1182/blood.2025029012
摘要
Cutaneous T-cell lymphoma (CTCL) remains a challenging disease due to its significant heterogeneity, therapy resistance, and relentless progression. Multi-omics technologies offer the potential to provide uniquely precise views of disease progression and response to therapy. We present here a comprehensive multi-omics view of CTCL clonal evolution, incorporating exome, whole genome, epigenome, bulk, single cell (sc) TCR, and scRNA sequencing of 99 clinically annotated serial skin, peripheral blood, and lymph node samples from 34 CTCL patients. We leveraged this extensive dataset to define the molecular underpinnings of CTCL progression in individual patients at single cell resolution with the goal of identifying clinically useful biomarkers and therapeutic targets. Our studies identified recurrent progression-associated clonal genomic alterations; we highlight mutation of CCR4, PI3K signaling, and PD-1 checkpoint pathways as evasion tactics deployed by malignant T-cells. We identified a gain of function mutation in STAT3 (D661Y) and demonstrated by CUT&RUN- and RNA-seq that it enhances binding to and transcription of genes in Rho GTPase pathways. With our previous work implicating this pathway in HDACi-resistant CTCL, these data provide further support for a previously unrecognized role for Rho GTPase pathway dysregulation in CTCL progression. Recurrent progression-associated mutations were common in the epigenetic modifier EZH2, suggesting that EZH2 inhibition may benefit patients with CTCL. Our findings support an approach in which genomic analysis is widely utilized for improved disease monitoring, biomarker-informed clinical trial design, and genome-guided therapeutic decision making. Moreover, these molecular changes present new opportunities for therapeutic targeting in this challenging and incurable cancer.
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