BTK inhibition drives mobilization and compartmental shifts of CLL subclones

C Christine Gruessner (1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States) V Victoria Rogness (1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States) B Bharath Dileep Kumar (1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States) R Rohan Herur (University of Virginia, Charlottesville, Virginia, United States) L Laura Samples (1Laboratory of Lymphoid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD) C Clare Sun (1Laboratory of Lymphoid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD) L Lita Freeman (1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States) P Pia Nierman (1Laboratory of Lymphoid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD) C Chingiz Underbayev (1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States) A Adrian Wiestner (1Laboratory of Lymphoid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD)

Abstract

Abstract BACKGROUND Chronic lymphocytic leukemia (CLL) shows compartmentalization, whereby genetically or functionally distinct subclones of CLL cells are unevenly distributed among different anatomical sites, mainly the peripheral blood (PB), bone marrow, and lymph nodes (LN). Previous work demonstrated compartmentalization of genetically distinct subclones (Sun, 2023). BTK inhibitors (BTKi) mobilize CLL cells from LN into the PB, causing the characteristic treatment-induced rise in lymphocytosis. Here we investigated shifts in CLL compartmentalization upon initiation of a BTKi. METHODS Paired PB and LN samples were collected from patients starting treatment with a BTKi on study (NCT01500733, NCT02337829). Whole exome sequencing (WES), and bulk RNA sequencing was performed samples from 65 patients treated with either ibrutinib (n=35; baseline and 24h or 72h after first dose) or acalabrutinib (n=30; baseline and after 96±20h of treatment). Matched PB samples were collected within 3 months pre-treatment and on the same day as the on-treatment LN. Clonal architecture and cancer cell fractions (CCF) were analyzed using SuperFreq, with PyClone-VI used for validation and refinement. To compensate for variable tumor purity of the samples, the CCF of subclones was normalized to the CCF of the founding clone. Subclones with CCF >5% and shifts ≥10% were considered significant. Significance in CCF shifts was set ≥20% when LN impurity could skew results. River plots were generated to allow for visualization of clonal dynamics. Statistical analyses were performed in R (v4.2.1), with significance set at P<.05. RESULTS Pairs of PB and LN samples sequentially obtained at baseline and on BTKi treatment were analyzed for 19 patients, yielding 4 tumor samples per patient. In 13 (68%) patients, the LNs were from ipsilateral sites, and in 6 (32%) from contralateral sites. Common driver mutations included TP53 (n=9), NOTCH1 (n=8), and SF3B1 (n=6), including multi-hits. SuperFreq identified 2 to 6 subclones (median 3) per patient. Pre-treatment, 12 subclones showed PB bias, and 14 subclones had higher CCF in LN than PB. On the BTKi, of 61 total subclones tracked in 19 patients, 24 (39%) demonstrated a compartmental shift. Among 10 subclones without compartment bias at baseline, 8 (80%) shifted into PB and 2 (20%) were more common in the on-treatment LN than PB. Mobilization to PB, defined as appearance of a new subclone or increase of CCF ≥10% in PB, was observed for 5 subclones across 4 patients (all on day 4 of BTKi). In 2 patients the subclones with NOTCH1 mutations increased from 29%→39% and 61%→71%, respectively. Another case with a PB CCF increase of 4.2%→20% was associated with a gain of an ATM mutation in the subclone. Of the 19 patients, 4 had 1-2 subclones detected in the pre-treatment PB that decreased by CCF≥10% or became undetectable in the on-treatment PB. In these cases, the median on-treatment PB CCFs decreased compared to pre-treatment (median -15%, P=.0032), suggesting a brisk treatment effect towards select subclones. Not all subclones that increased in PB on-treatment were detected in the sampled LNs, consistent with putative heterogeneity across LN sites. Infact, in 6 cases (2 contralateral and 4 ipsilateral biopsy pairs), the pre-treatment LNs demonstrated subclonal shifts >|20%| when compared to on-treatment LNs. Ipsilateral sites often contained multiple LNs, indicating that different nodes may have been biopsied. In conclusion, these findings highlight marked heterogeneity between PB and LN sites, and suggest that each LN may function as its own unique compartment, at times harboring distinct CLL subclones that are not universally shared across disease sites. Many subclones shifted compartment bias on treatment, but not all LN resident subclones appeared to be mobilized. A deeper understanding of compartmentalization is critical for tracking clonal evolution and understanding treatment resistance.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 7406-7406
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (10)

C

Christine Gruessner

1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States

V

Victoria Rogness

1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States

B

Bharath Dileep Kumar

1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States

R

Rohan Herur

University of Virginia, Charlottesville, Virginia, United States

L

Laura Samples

1Laboratory of Lymphoid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD

C

Clare Sun

1Laboratory of Lymphoid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD

L

Lita Freeman

1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States

P

Pia Nierman

1Laboratory of Lymphoid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD

C

Chingiz Underbayev

1National Institutes of Health, 10 Center Dr, National Heart, Lung, and Blood Institute, Bethesda, United States

A

Adrian Wiestner

1Laboratory of Lymphoid Malignancies, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD