Clonal Evolution
3 results on this topic.
Research Papers
Evolution of tumor subclones and T-cell dynamics underlie variable ibrutinib responses in Waldenström macroglobulinemia
To elucidate the molecular basis underlying differential response and resistance to ibrutinib in Waldenström's macroglobulinemia (WM), we conducted a prospective phase II trial (ClinicalTrials.gov; NCT02604511) of ibrutinib monotherapy in treatment-naïve patients. Seventy-four sequential bone marrow (BM) aspirates from 17 patients, collected from baseline through 48 treatment cycles, were profiled using single-cell multi-omics. BM cells segregated primarily into B/plasma cell and T-cell compartments. Longitudinal clonal tracking of malignant B/plasma cells identified three distinct evolutionary patterns: "evolution" (early clone contraction with late clone expansion and increasing genomic complexity), "devolution" (early clone expansion with late clone contraction and genomic simplification), and "no-evolution" (stable clonal architecture). The "evolution" pattern was strongly associated with disease progression, whereas "devolution" correlated with durable clinical response. Transcriptomic profiling of resistant clones enabled development and validation of the Waldenström's Ibrutinib Prediction (WIP) score, which predicted treatment response at baseline. Within the WIP signature, LYN emerged as a key regulator; LYN knockdown or inhibition significantly increased WM cell sensitivity to ibrutinib, suggesting a rational combinatorial strategy. In parallel, GZMB⁺ CD8⁺ effector-memory (TEM) cells expanded post-treatment in progressing patients and co-existed with tumor "evolution". These cells exhibited persistently impaired cytotoxic programs (e.g., GNLY), a de-differentiated memory-like state, elevated PDCD1 expression, and reduced TCR diversity. Together, this study provides the first single-cell framework of tumor clonal evolution and T-cell dysfunction under ibrutinib in WM; introduces the WIP score as a predictive biomarker for treatment response; and identifies actionable tumor-intrinsic and immune mechanisms driving resistance.
Multi-omic Study of Cutaneous T-Cell Lymphoma Reveals Single Cell Clonal Evolution in Progression and Therapy Resistance
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.