Parikh, Sameer A.

Abstract Background: Monoclonal B-cell lymphocytosis (MBL), a precursor to chronic lymphocytic leukemia (CLL), is an understudied yet common premalignant condition present in ~8 million adults in the United States. Based on flow cytometry, MBL can be classified into two immunophenotypes: CLL-type (CD5, CD23, and CD20 co-expression) and non-CLL-type (CD5-negative). While the majority of the data to date pertains to CLL-type MBL, the available evidence indicates non-CLL-type MBL is also associated with an increased risk of hematologic malignancies. Clonal hematopoiesis of indeterminate potential (CHIP) is another precursor condition associated with hematologic malignancies. The relationship between non-CLL-type MBL and CHIP and their combined effect remains unknown. Herein, we report findings on these two precursor conditions in the largest screening cohort to date. Methods: Using flow cytometry, we screened for MBL in the Mayo Clinic Biobank participants who were 40 years or older with no prior history of hematologic cancers. Using whole-exome sequencing of whole-blood DNA, CHIP was screened on 291 genes related to myeloid (56 genes) or lymphoid malignancies (235 genes). Incident hematologic malignancies were detected during follow-up using International Classification of Diseases (ICD) codes in the medical record. All diagnoses were manually reviewed for confirmation. Multivariable logistic regression was used to evaluate the association between non-CLL-type MBL and CHIP. Time to incident hematologic malignancy was calculated from date of MBL screening to the earliest date of incident malignancy, withdrawal, death, last medical visit, or study end. Overall survival (OS) was calculated from date of MBL screening to date of death or last known alive. Multivariable Cox regression, adjusted for age, sex and residency, was used to investigate associations between non-CLL-type MBL and CHIP with clinical outcomes; with results reported using hazard ratios (HR) and 95% confidence intervals (CI). Results: In total, 8,802 individuals with MBL screening and CHIP data were analyzed. Non-CLL-type MBL was detected in 249 (2.8%) individuals; 121 (49%) were male, and median age was 78 years (range, 47-95). We identified 757 (8.6%) individuals with CHIP in at least one of the 291 genes tested. The most frequently mutated CHIP genes were DNMT3A, TET2, ASXL1, PPM1D, and TP53. A total of 47 (0.5%) individuals had both non-CLL-type MBL and CHIP; the four genes with the highest number of CHIP variants in these individuals were DNMT3A (n=16), TET2 (n=10), ASXL1 (n=3), and ATM (n=3). An association between non-CLL-type MBL and any CHIP (OR=1.6, 95%CI:1.2-2.3, P=0.006) was observed. When analyzing CHIP in genes related to myeloid malignancies, the association with non-CLL-type MBL was also significant (OR=1.6, 95%CI:1.1-2.3, P=0.012); however, the association was not statistically significant for genes related to lymphoid malignancies (OR=1.6, 95%CI:0.8-3.3, P=0.165). With a median follow-up of 5.4 years, 104 individuals developed incident hematologic malignancies (66 lymphoid and 38 myeloid malignancies). Non-CLL-type MBL (HR=3.5, 95%CI:1.9-6.5, P<0.001) and CHIP (HR=3.2, 95%CI:2.1-5.1, P<0.001) were each associated with increased risk of incident hematologic malignancies. Co-existence of both precursor conditions was associated with a substantially higher risk of incident hematologic malignancies (HR=10.3, 95%CI:4.0-26.2, P<0.001) compared to individuals with neither precursor condition. Among individuals with non-CLL-like MBL, any CHIP was a borderline significant predictor for incident hematologic malignancy (HR=3.6, 95%CI:1.0-12.9, P=0.049). Compared to individuals with no precursor conditions, OS was not significantly different in those with non-CLL-type MBL-only (HR=1.1, 95%CI:0.8-1.5, P=0.40), those with CHIP-only (HR=1.2, 95%CI:0.99-1.4, P=0.06), or those with both CHIP and non-CLL-type MBL (HR=1.3, 95%CI:0.8-2.1, P=0.39). Conclusions: In the largest screening cohort to date evaluating the relationship of CHIP and non-CLL-type MBL, we found that non-CLL-type MBL and CHIP are associated with each other. Individuals with non-CLL-type MBL were more likely to have CHIP variants in DNMT3A, TET2, ASXL1, and ATM. Among individuals with non-CLL-type MBL, the presence of any CHIP was associated with increased risk of developing hematologic malignancy.

Abstract Introduction: A subset of patients with chronic lymphocytic leukemia (CLL) experiences disease progression from CLL to Richter transformation (RT), characterized by the occurrence of a high-grade lymphoma. The outcomes of patients with RT are typically dismal and identifying better therapeutic strategies remains critically important for these patients. To discern the biologic underpinnings driving this transformation, we studied immune changes and genetic evolution in samples from CLL patients who developed RT. Methods: We identified 18 patients with CLL who developed RT; and performed single cell (sc) RNA-sequencing(seq) on sorted B and T cells from peripheral blood mononuclear cells (PBMCs) at the time of RT (n=18) and at the earlier time of CLL diagnosis (n=11). The median time between the CLL sample and the one closest to RT was 4.3 years (range, 0.2-7.3); and patients received a median of 1 CLL directed treatment (range, 0 – 7). A total of 749,906 cells and 36,601 genes were captured during scRNAseq and 720,580 cells and 21,892 genes were retained for downstream analysis, respectively. Analysis was performed using the immunopipe (https://github.com/pwwang/immunopipe) that wraps around Seurat (v5.1.0) and identified enriched pathways using Enrichr service. The sc-T cell receptor (TCR)-repertoire(R)-seq data was analyzed and visualized using scplotter (). The whole exome sequencing (WES) analysis with tumor B-cells from same patients of CLL & RT stages were done using the Agilent sureselect Human all exon v5 + UTR capture kit. Reads from paired end sequencing were processed with the sarek pipeline. Results: Analysis of 720,580 cells from 11 CLL and 18 RT samples showed 16 distinct cell types- 3 B and 13 T cell subtypes. We observed an increasing trend of CD8 TEM [mean 0.548 vs. 0.384, p = 0.12 (Wilcoxon test)] but a decreasing trend of CD4 TCM (mean 0.236 vs. 0.337, p = 0.08) and B-memory (mean 0.0085 vs. 0.0195, p = 0.51) subsets in RT compared to their CLL stage. When comparing transcriptional changes, we found that among the top 18 highly variable genes, the expression of FP236383.3 (lncRNA) and TCL1A was significantly higher (p<0.0001) in the B cell subsets of patients with RT vs. CLL stage. Additionally, in T cell subsets—primarily dnT, γδT, and CD8/CD4 naïve cells—the expression of FP236383.3, NKG7, GNLY, and CCL5 was significantly higher (p<0.0001), while the expression of LDHB, GZMK, and IL32 was significantly lower (p<0.0001) in RT vs. CLL stage samples. Comparison of specific gene set enrichment analysis showed significantly increased expression of GZMB in gdT (p<0.001) and decreased expression of GZMA, GZMK, TIGIT and TCF7 in dnT and CD8 Naïve cells (p<0.001) for RT vs. CLL stage. The top 10 differentially expressed pathways in RT included oxidative phosphorylation, allograft rejection, IFN-α/-γ responses, TNF-α signaling via NF-κβ, complement, Myc targets V1, mTORC1, hypoxia, and p53 signaling across various B and T cell subsets compared to the CLL stage. Initial analysis of TCR-R data showed that patients with RT stage have lower number of unique clones (p<0.5) and reduced clonal diversity (p<0.5), and a higher number of large and hyperexpanded clones compared to their CLL stage. Additionally, WES data indicated that the most frequently mutated gene is TP53 in tumor B cells of both CLL and RT stages. However, a higher percentage of RT-stage samples carry mutations in MGA, ATM, and IRF2BP2 genes compared to their CLL-stage. WES data also showed a trend toward differing frequencies of copy number amplification at 19q12 (p=0.10) and 4q13.1 (p=0.52) between RT and CLL stages. Conclusions: The main findings of our study are as follows:The transcriptional landscape showed significant changes in multiple genes and pathway enrichment related to cell growth, differentiation and immune response in RT vs. CLL stage.A decreased fraction of CD4 TCM cells and reduced TCR clonal diversity were observed in samples at the RT stage and may indicate a poor prognosis for the patients at this stage. WES data of tumor B cells also indicated possible genetic alterations in the RT vs. CLL stage. Data from in-depth analyses on understanding of the dynamics of T cell response and additional experiments on these patients are expected to provide valuable insights into tumor genetic heterogeneity, transcriptional and immune regulation in blood-based immune subsets.

Abstract Introduction: Chronic lymphocytic leukemia (CLL) is marked by impaired T cell responses that limit the efficacy of immunotherapies. CD19-directed chimeric antigen receptor T cell therapy (CART19) received FDA approval to treat CLL in 2024. However, itsefficacy in CLL patients remains low, with durable remission rate of ~20%. Ibrutinib, a Bruton tyrosine kinase inhibitor, has shown synergy with CART19 in preclinical and early clinical studies. We aimed to study the impact of ibrutinib on CART19 utilizing clinical samples from the pivotal clinical trial E1912 (NCT02048813) of ibrutinib/rituximab (IR) vs fludarabine/cyclophosphamide/rituximab (FCR). This trial led to the FDA approval of first line ibrutinib in CLL. Methods: We generated CART19 incorporating either CD28 (28ζ) or 41BB (BBζ) costimulatory domains from T cells isolated from patients with CLL treated with IR or FCR on the E1912 trial. IR samples were collected at baseline (pretreatment), 6- or 12-months during treatment, or at progression. FCR samples were collected at baseline, 15-18 months during treatment, or at progression. For animal experiments, NOD-SCID-γ-/- (NSG) mice were intravenously (i.v.) engrafted with 1×10⁶ luciferase⁺ CD19⁺ JeKo-1 cells. Upon tumor establishment (~10⁸ photons/sec by bioluminescence imaging), mice were randomized and treated i.v. with 1×10⁶ 28ζ or BBζ derived from longitudinal IR- or FCR-treated patient samples. To further assess the impact of prolonged ibrutinib exposure on CART19 function, we chronically stimulated healthy donor-derived 28ζ or BBζ in vitro for 22 days with JeKo-1 cells and 100nM ibrutinib or vehicle control and then tested CART19 functions. Finally, we performed single cell RNA sequencing (scRNAseq) of longitudinal patient T cell samples treated with IR. Results: Ex vivo T cell expansion was significantly enhanced following IR compared to FCR. BBζ generated from IR-treated patients after 6 months of ibrutinib exhibited enhanced in vitro expansion (p=0.016) and antigen-specific proliferation (p=0.038) in the presence of JeKo-1 cells. This corresponded with significantly improved antitumor efficacy and prolonged survival in vivo compared to cells generated at disease progression (p=0.017). In contrast, 28ζ showed no significant differences in efficacy across IR studied treatment timepoints. BBζ from FCR-treated patients did not show differences in tumor control based on treatment timepoints but demonstrated shorter survival compared to BBζ from IR-treated patients. 28ζ from FCR-treated patients generated at disease progression demonstrated significantly reduced tumor control and shorter survival compared to 28ζ produced at baseline (p=0.0002), indicating detrimental effects of FCR treatment on the therapeutic potential of CART products. To further investigate the impact of prolonged ibrutinib exposure, we utilized in vitro models of CART exhaustion. We found that, after repeated antigen stimulation with JeKo-1 cells, ibrutinib-treated BBζ had significantly increased antigen-specific degranulation (p=0.005), and cytokine production (IL-2, p=0.045; TNF-α, p=0.003; IFN-γ, p=0.001), compared to BBζ treated with vehicle control. In contrast, 28ζ did not show improved degranulation or cytokine production in cocultures with ibrutinib. Prolonged ibrutinib exposure led to downregulation of FOXO3, a transcription factor associated with T cell exhaustion which has been shown to cause dysfunction specifically in BBζ. These results further indicate that ibrutinib may be more beneficial to BBζ. Indeed, scRNAseq revealed that after ≥ 6 months of ibrutinib, T cells showed downregulation of inflammatory, oxidative stress, and apoptosis pathways, paralleled by modest activation of MYC and E2F targets. However, at disease progression, T cells under ibrutinib treatment displayed marked upregulation of interferon signaling, inflammation responses, and stress-related programs, indicating a shift toward immune reactivation or dysfunction.Conclusion: Our study shows that BBζ, but not 28ζ, generated 6 months during ibrutinib treatment has superior antitumor activity and persistence compared to similar later timepoints or FCR-treated counterparts. Prolonged ibrutinib exposure enhances BBζ function by modulating stress and apoptotic pathways. These findings highlight the importance of pre-CART treatment timing and support ibrutinib as a potential enhancer of CART cell fitness in CLL.

Abstract Recent studies have highlighted the important but pleiotropic role of IL-4 in response to chimeric antigen receptor T (CART) cell therapy. IL-4 was identified as a regulator of dysfunction in CD19-targeting CART cells with a CD28 costimulatory domain (CART19-28ζ) through a genome-wide CRISPR knockout screen as well as RNA and ATAC sequencing of baseline and exhausted healthy donor CART19-28ζ cells and pre-infusion CART19-28ζ cell products from responders and non-responders in the ZUMA-1 trial (Stewart et al, Nat Commun., 2024). However, interrogation of a single-cell atlas fromactivated pre-infusion CART cell products from patients with acute lymphoblastic leukemia revealed a beneficial role for IL-4 and other type 2 cytokines in the promotion of long-term response (Bai et al, Nature, 2024). In this report, we aim to further understand how IL-4 can be detrimental to CART cell therapy. To study the regulation of CART19-28ζ cells by IL-4, we performed RNA sequencing on CART19-28ζ cells that were stimulated with CD19+target cells in the presence of either 20 ng/mL hrIL-4 or diluent for 24 hours, one week, or two weeks in an in vitro model for exhaustion as previously described (Stewart et al, Nat Commun., 2024). We observed that hrIL-4 treatment drove the development of a distinct transcriptomic profile after chronic stimulation for one week (up genes = 3253 and down genes = 3645) or two weeks (up genes = 6435 and down genes = 6224) but not following 24 hours of activation (up genes = 0 and down genes = 0). Gene set enrichment analysis on the differentially expressed genes following two weeks of chronic stimulation showed that hrIL-4 treatment pushes CART cells to a more exhausted and less naïve phenotype (FDR = 0.015) and leads to a broad downregulation in cytokine signaling (FDR = 0.012). To investigate transcription factors associated with IL-4-induced CART cell dysfunction, we used BETA analysis with publicly available transcription factor binding sites for STAT6, GATA3, and EOMES and our differential expression data. EOMES (p = 0.039), but not STAT6 (p = 0.999) nor GATA3 (p = 0.999) significantly regulated the differentially expressed genes. In support of these findings, the addition of hrIL-4 also significantly upregulated EOMES expression after one (p < 0.0001) and two (p < 0.0001) weeks of chronic stimulation and downregulated the expression of TBX21 (p < 0.0001), a binding competitor of EOMES, following two weeks of chronic stimulation. To evaluate if EOMES is critical for IL-4-induced CART cell dysfunction, we treated either control or EOMES CRISPR knockdown CART cells with 20ng/mL hrIL-4 during chronic stimulation. EOMES knockdown reduced IL-4-induced CART19-28ζ cell dysfunction as seen by an increase in antigen-specific expansion (p = 0.046) and an increase in cytokine production including IL-2 (p < 0.0001), TNF-α (p = 0.006), and IFN-γ (p = 0.020). Having identified that EOMES is at least partially responsible for IL-4-induced CART cell dysfunction, we evaluated EOMES binding sites in human CART19-28ζ cells with CUT&RUN sequencing. Our analysis revealed EOMES binding at hypersensitivity site 2 (HS2) in the IL-4 locus which, in a previous study, was more accessible in both exhausted healthy donor CART19-28ζ cells and pre-infusion CART cell products from non-responders in the ZUMA-1 clinical trial (Stewart et al, Nat Commun., 2024). To determine how HS2 can impact CART cell functions, we generated CART19-28ζ cells from either wildtype (HS2+/+) or HS2-deleted (HS2-/-) murine T-cells and tested them in a syngeneic model of lymphoma generated by engrafting C57BL6 mice with luciferase+ TBL12 cells (1x106, tail vein injection on Day -3) following preconditioning (250mg/kg cyclophosphamide, intraperitoneal injection on Day -4). Following randomization of mice via tumor burden (n = 5 per group), mice were treated with either HS2+/+ or HS2-/- CART19-28ζ cells (1x106 cells, tail vein injection). In this model, HS2-/- CART cells showed enhanced expansion (p = 0.022), increased anti-tumor activity (p = 0.018), and improved overall survival (p = 0.003). Together, our study shows that IL-4 induces a distinct cellular fate in CART19-28ζ cells in the presence of chronic antigen-specific stimulation at least partially through the upregulation of EOMES. Further, the epigenetic regulation of CART cells by the IL-4 enhancer HS2 can significantly influence CART cell activity, and deletion of HS2 can improve CART cell therapy.

Abstract Background: The synergistic mechanisms of BCL-2 inhibitors and CD20-directed antibodies in the treatment of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) often lead to deep and durable responses. Although the use of venetoclax-obinutuzumab (Ven-O) in the frontline setting (1L) for CLL/SLL has led to a paradigm shift in the disease management, there are limited data on its efficacy in the relapsed/refractory (R/R) setting. In this study, we evaluated the efficacy and safety of Ven-O in both 1L and R/R CLL among patients treated outside the context of clinical trials at our institution. Methods We used the Mayo Clinic CLL Database to identify patients with CLL who were treated with Ven-O, both in 1L and R/R settings. Patients seen at Mayo Clinic Rochester between 2017 and 2025 were included. Overall survival (OS) was calculated from date of Ven-O initiation until last known alive date. Event-free survival (EFS) was calculated from date of Ven-O initiation until the next line of treatment or last known alive date. Kaplan-Meier methods estimated EFS and OS rates at 1, 3, and 5 years. Cox proportional hazards models were used to explore the association between baseline factors and EFS and OS; results are reported as hazard ratios (HR) and 95% confidence intervals (95%CI). Finally, we compared the OS to the age- and sex-matched general population of the state of Minnesota. Results A total of 154 patients (91 1L, 63 R/R) were included in the study. The median age was 68 years (69 1L, 68 R/R), and 68% were male (64% 1L, 73% R/R). Overall, TP53 disruptions (either del17p by FISH or TP53 mutation) were noted in 22 (15%) patients (9% 1L, 23% R/R). CLL FISH findings demonstrated del11q in 24 (19%) patients (19% 1L, 18% R/R), del13q in 46 (36%) patients (36% 1L, 36% R/R), and trisomy 12 in 21 (16%) patients (16% 1L, 18% R/R). IGHV genes were unmutated in 95 (68%) patients (60% 1L, 80% R/R). The CLL-IPI risk score was high in 54 (51%) patients (51% 1L, 53% R/R) and very-high in 18 (17%) patients (8% 1L, 34% R/R). A total of 121 (89%) patients completed planned treatment (1 year of venetoclax in 73 [90%] 1L and 2 years of venetoclax in 48 [87%] R/R). Median follow-up for the entire cohort was 1.8 years (2.2 1L, 1.5 R/R). Neither median EFS nor OS was reached for the overall cohort or within the 1L and R/R subgroups. The 1, 3, and 5-year EFS estimates for the overall cohort were 91% (86-96%), 85% (78-92%), and 67% (51-89%), respectively; corresponding EFS values for the 1L subgroup were 95% (91-100%), 89% (82-98%), and 67% (47-95%), respectively; and for the R/R subgroup were 85% (76-95%), 77% (65-92%), and 77% (65-92%), respectively. The 1, 3, and 5-year OS estimates were 98% (95-100%), 95% (91-99%), and 88% (76%-100%), respectively; corresponding OS values for the 1L subgroup were 99% (96-100%), 97% (94-100%), and 97% (94-100%) and for the R/R subgroup were 96% (91-100%), 91% (82-100%), and 61% (27-100%), respectively. Univariable analyses showed that TP53 disruption was associated with shorter EFS (HR 3.8, 95%CI 1.4-10.2, p=0.01), although IGHV mutation status was not associated with shorter EFS. A higher level of serum beta-2 microglobulin (HR 1.27, 95%CI 1.01-1.59, p=0.04) and R/R status (HR 4.9, 95%CI 0.9-25.8, p=0.06) were associated with a shorter OS. Interestingly, TP53 mutation status and IGHV mutation status were not associated with inferior OS. There was no difference in the observed and expected OS for both the 1L (p-0.23) and R/R (p=0.14) Ven-O treated cohorts compared to the age- and sex-matched general population of the state of Minnesota. Conclusions Our study shows that Ven-O is a well-tolerated regimen with demonstration of durable treatment responses both in the 1L and R/R groups, when used outside the context of a clinical trial. To the best of our knowledge, these data for the first time demonstrate no difference in OS of patients treated with Ven-O compared to age- and sex-matched general population, in both the 1L and R/R settings.

Abstract Introduction: Hemophagocytic lymphohistiocytosis (HLH) is a rare and life-threatening hyperinflammatory syndrome resulting from immune dysregulation. While diagnostic and therapeutic guidelines (e.g., HLH-2004) are established for pediatric HLH, adult-onset HLH remains both a diagnostic and therapeutic challenge, with limited characterization and sparse outcome data. Here, we conduct a single-institution retrospective cohort study to evaluate clinical features, causes, and prognostic markers associated with outcomes. Methods: We performed a retrospective chart review of all adult patients (≥18 years) first diagnosed with HLH across all Mayo Clinic sites between January 1, 2006 and July 1, 2025. Diagnosis was based on hematologist adjudication at time of care. Patients with prior diagnoses of HLH or HLH related to T-cell therapy (CAR-T) were excluded. Clinical and laboratory variables were extracted from electronic health records. The primary outcome was overall survival (OS), defined as time from diagnosis of HLH to death or last follow-up. OS was estimated using the Kaplan-Meier method. Multivariable analysis to identify independent predictors of mortality was performed using a Cox proportional hazards regression model, adjusting for age at diagnosis, sex, HLH etiology, and relevant clinical and laboratory parameters. Model discrimination was assessed using Harrell's concordance index (c-index). Descriptive statistics were summarized using median and interquartile range (IQR) for continuous variables and frequency with percentages for categorical variables. Results: A total of 203 patients diagnosed with HLH were included. The median age at diagnosis was 55 years (range 18-86). The cohort was predominantly male (n=130, 64%) and White (n=163, 80%). The majority of diagnoses occurred in more recent years, with 75 patients (36.9%) diagnosed between 2021–2025, 61 (30.0%) between 2016–2020, and 43 (21.2%) between 2011–2015. Prior to HLH diagnosis, 86 patients (42.4%) had a history of malignancy, 55 (27.1%) had a history of autoimmune disease, and 28 (13.8%) had a history of transplant. The most common HLH etiologies were malignancy-associated (n=99, 49%), infectious (n=51, 25%), and autoimmune (n=24, 12%), in addition to idiopathic (n=6, 3%), post-transplant lymphoproliferative disease or graft-vs-host disease (n=3, 1%), drug-induced (n=3, 1%), or primary HLH (n=1, 0.5%). The most common malignancies included T-cell (n=35, 17.2%) and diffuse large B-cell lymphoma (n=24, 11.8%). Forty-four cases (21.7%) were associated with Epstein-Barr virus (EBV), either through overt viremia or malignancies with EBV positivity on pathology report. Five patients (2.5%) had COVID-19–associated HLH and 2 (1.0%) were attributed to immune checkpoint inhibitors. Overall, 164 patients (80.8%) met the HLH-2004 diagnostic threshold of ≥5 out of 8 criteria, while 196 (96.6%) met the HLH-2024 ≥4 of 7 modified criteria. Among patients with available information, elevated ferritin was present in 197 of 198 (99.5%), fever in 185 of 202 (91.6%), cytopenias involving ≥2 lineages in 184 of 199 (92.5%), hemophagocytosis in 156 of 182 (85.7%), elevated sCD25 in 117 of 121 (96.7%), hypertriglyceridemia in 117 of 186 (62.9%), hypofibrinogenemia in 118 of 196 (60.2%), splenomegaly in 125 of 188 (66.5%), and impaired NK cell activity in 16 of 25 (64.0%). In addition, hepatomegaly was noted in 57 of 195 patients (29.2%). After a median follow-up of 58.3 months, median OS was 62 days (95% CI 40-110) from day of diagnosis. In a multivariable Cox proportional hazards model with moderate discrimination (c-index=0.75), after adjusting for age at diagnosis and sex, T-cell lymphoma–driven HLH (HR 1.78, 95% CI 1.05–3.00, p = 0.03) and elevated blood urea nitrogen (median 51.0 mg/dL, IQR 27.9–99.1; HR 2.07, 95% CI 1.37–3.13, p < 0.005) were independently associated with shorter OS Conclusions: In this cohort of adult patients with HLH, malignancy was found to be the most common trigger for HLH. T-cell malignancies in particular were strongly correlated with poor survival. Elevated blood urea nitrogen at diagnosis also identified patients at significantly higher risk of death, consistent with other critical illnesses that can present with multi-organ failure. These findings emphasize the need for adult-specific prognostic tools incorporating disease etiology and organ dysfunction markers to better stratify risk and guide clinical management in adult-onset HLH.

Abstract Introduction: Although therapies targeting Bruton Tyrosine Kinase (BTK), either as monotherapy or in combination have revolutionized the treatment in chronic lymphocytic leukemia (CLL), the disease remains incurable. Continuous treatment with these agents frequently leads to the development of resistance and disease progression, mostly associated with mutations in BTK or PLCG2. However, a significant fraction of BTKi-resistant patients does not harbor mutations in these genes, revealing that multiple distinct mechanisms of resistance can independently develop in these patient cohorts. Identifying novel molecular pathways associated with drug resistance in the relapsed/refractory (RR) setting of CLL requires more exploration. Materials and Methods: Using the Mayo Clinic CLL Database and tissue bank, we identified 30 RR patients, who had had disease progressionon a BTKi. The median lines of prior therapies were four. The median age at start of treatment was 57.9 (range, 36-78), 77% were male. Rai stage at diagnosis was 0 in 10% of patients, stage I in 37%, stage II in 20%, stage III in 6%, and stage IV in 27%. IGHV unmutated was observed in 87% of cases. Five patients subsequently evolved to Richter's Transformation (RT). A total of 64 blood samples were collected at different timepoints: baseline (before BTKi therapy), during treatment and at disease progression from BTKi (Ibrutinib/Acalabrutinib/Pirtobrutinib/Nemtabrutinib). The CD5+/CD19+ tumor population was enriched by flow sorting. We performed whole genome sequencing (WGS) in tumor/germline pairs with an average sequencing depth of 60X. Copy number variants (CNVpytor), structural variants – SV (Manta and DELLY2), single nucleotide variants (SNV) and indels (MuTect2, Strelka) were calculated. Mutational signature analysis was conducted independently on each disease timepoint with sigProfiler. De novo signatures were extracted with non-negative matrix factorization, then decomposed and mapped to known signatures from the COSMIC Human Cancer Signatures database. Results: Prior to start of BTKi treatment, the most common abnormality was del13q (65%), followed by abnormalities in TP53 (mutation and/or del17p) in 59% of patients, del8p, del11q (23% each), and mutations in SF3B1 (35%), NFKIE, NOTCH1 and MAPK signaling pathway (BRAF, KRAS, NRAS, PTPN11) in 23% of cases, each. Complex karyotype, defined as >3 copy number abnormalities was found in 59% of cases. Disease progression was observed 4.4 years (median; range 1.9-10.8 yrs) after starting BTKi therapy. At disease progression, there was an overall increase in genomic complexity. Overall, 17 cases (56%) showed mutations in BTK (p.C481S, p.C481Y, p.L528W, p.A428D) and/or PLCG2 (p.P844H). Four cases showed mutations in both genes or two or more independent mutations in BTK. Del17p and/or TP53 mutations were found in 20 (67%) cases, 9 of them with biallelic abnormalities. A third of patients (N=10) were found to have MAPK mutations, and 9 (30%) cases had mutations in the epigenetic regulators CREBBP, SETD2, SETD1A andKMT2D. Loss of heterozygosity, including 11q and 17p was found in 13% of cases. Chromothripsis was found in 23% of cases. In patients without BTK or PLCG2 mutations (N=13), TP53 abnormalities were present in 92% of cases and mutations in the MAPK pathway in 46% of these patients. Finally, we identified several SVs involving driver genes at disease progression, including inversions in RB1 (N=1), NOTCH1 (N=1) and translocations in MYC (N=1) and IGH (N=2). Analyzing the mutational signatures, baseline timepoints were dominated heavily by aging signatures (SBS5, SBS1). However, in cases that progressed after therapy, we found enrichment of mutational signatures associated with defective DNA mismatch repair (SBS44, 6%), chemotherapy treatment (SBS25, 14%), homologous and nucleotide excision repair deficiency (SBS8, 48%), and indirect effects of AID-induced somatic mutagenesis (SBS85, 7%). Additionally, the Melphalan signature (SBS99, 10%) was found in patients treated alkylating agents. Conclusions: Disease progression of CLL on BTKi confirmed the existence of multiple driver genes beyond BTK, PLCG2 andTP53, including the high prevalence of mutations in MAPK pathway and epigenetic regulators, and increased genomic complexity. Ongoing efforts are focused on integrating these findings with clinical demographics, epigenetic modifications, and preclinical drug sensitivity profiles.

Abstract Introduction: Patients diagnosed with chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) exhibit an elevated risk of developing other cancers (OC) relative to the general population. Historically, chemoimmunotherapy (CIT) represented the cornerstone of CLL/SLL management. A systematic review of clinical trials of CIT for CLL that included 28 studies reported 352/3297 (12.6%) patients developed OC (Csanadi 2022). The introduction of targeted agents beginning in the mid-2010's, including Bruton tyrosine kinase inhibitors (BTKi) and BCL2 inhibitors, has shifted the standard of care toward these novel therapies. In this study, we determined the risk of OC in newly diagnosed CLL/SLL patients cared for at the US Department of Veteran Affairs (VA), The University of Texas MD Anderson Cancer Center, and Mayo Clinic in Rochester, MN. Methods: We identified patients with newly diagnosed CLL/SLL after 1/1/2016 using the VA Central Cancer Registry, MD Anderson, and the Mayo Clinic CLL Databases. The baseline clinical characteristics, CLL treatments, and the occurrence of OC were abstracted by electronic health record (EHR) review. Receipt of CLL directed therapy was categorized into a) CIT only; b) targeted therapy only; c) CIT and targeted therapy; and d) other (including monotherapy with monoclonal antibody therapy). The occurrence of OC was modeled using CLL treatment as a time-dependent variable. Prior and concurrent OC diagnosed within 3 months of CLL/SLL were excluded from analyses, to reduce ascertainment bias. Results: We identified 6844 patients with CLL/SLL who met inclusion criteria. Median follow up was 3.6 years (interquartile range [IQR] 1.9-5.8). The median age at diagnosis of CLL/SLL was 71 years (range, 23 - 102); most patients were white (81%) and male (90%). Although many patients had missing values, among those with available information, IGHV genes were unmutated in 884 (51%), CLL FISH panel showed del17 in 213 (7%), del11q in 389 (13%), trisomy 12 in 674 (23%), and del13q in 1508 patients (50%). A total of 2344 patients received CLL directed therapy during follow-up: 278 (12%) received CIT only, 1809 (77%) received targeted therapy (+/- monoclonal antibody), only 99 (4%) received CIT and targeted therapy and 150 (6%) monoclonal antibody therapy only. Among patients treated with targeted therapies, 950 (50%) received ibrutinib, 381 (20%) received acalabrutinib, 164 (9%) received zanubrutinib, 4 (<1%) received orelabrutinib, 280 (15%) received venetoclax, and 3 (<1%) received sonrotoclax. Other treatments included combinations of a covalent BTKi (cBTKi) and BCL2i in 52 (3%) patients, among others. A total of 583 patients were diagnosed with OC during the study period. Types of OC observed included neoplasms of the prostate (n=129, 22%), lung (n=118, 20%), hematologic malignancies (n=91, 16%), gastrointestinal tract (n=68, 12%), melanoma (n=66, 11%), kidney and bladder (n=44, 8%), head and neck (n=19, 3%), and other/unknown (n=48, 8%). Estimated risk of occurrence of OC was 4.2% (95%CI 3.8-4.8%) at 24 months and 9.7% (95%CI 8.9-10.6%) at 60 months after a diagnosis of CLL/SLL. Multivariable analyses demonstrated that older age (HR: 1.013, 95%CI: 1.00-1.021), male sex (HR: 1.6, 95%CI: 1.1-2.3), and receipt of CLL directed therapy (HR: 1.4, 95%CI: 1.2-1.7) were associated with an increased risk of OC. When considering different types of CLL directed treatments, those who received CIT with or without targeted therapies had the highest risk of development of OC (HR: 1.6, 95%CI: 1.2-2.1). Risk of OC were also increased for those who received CIT only (HR: 1.41, 95%CI: 0.97-2.05) and those who received targeted treatments alone (HR: 1.27, 95%CI: 1.02-1.58). Conclusion: In this large dataset of newly diagnosed patients with CLL/SLL in the past ten years, approximately 10% patients developed OC at 5 years. Receipt of CLL directed therapy was associated with a 40% increased risk of development of OC compared to those patients who did not receive therapy. The risk was highest among patients who received CIT with or without targeted therapy and was still elevated in those who received CIT only or targeted therapy only.

Abstract Background Mosaic chromosomal alterations (mCAs) are large-scale somatic gains, losses, or copy-neutral loss of heterozygosity (CNLOH) detectable by genotyping of peripheral blood DNA. They represent a form of clonal hematopoiesis and are observed in 0.5-5% of cancer-free individuals. The presence of any autosomal mCA has been associated with >3-fold risk of hematological malignancies. In particular, mCAs occurring in regions related to lymphoid malignancies have an 11-fold increased risk of lymphoid malignancies and a 68.6-fold risk for chronic lymphocytic leukemia (CLL). Monoclonal B-cell lymphocytosis (MBL), the precursor state to CLL, is defined by <5×10⁹/L clonal B cells in otherwise healthy individuals and is classified as low-count (<0.5x109/L) or high-count (0.5-5x10⁹/L) based on clonal B-cell count. MBL is also associated with increased risk of lymphoid malignancy (beyond CLL), with 4.3-fold and 74-fold risk in individuals with low- and high-count MBL, respectively. We previously reported a significant enrichment of autosomal mCAs in MBL, demonstrating a 1.7-fold association in those with low-count MBL and a 50.5-fold association in those with high-count MBL. Whether mCAs independently predict lymphoid malignancy risk after accounting for MBL status is unknown. Here, we evaluated the impact of mCAs on risk of incident lymphoid malignancies in individuals with MBL and in individuals screened negative for MBL. Methods CLL-type MBL (CD5 positive) was identified using flow cytometry assay on peripheral blood. Participants were age ≥40, had no prior hematologic malignancy, and were enrolled through the Mayo Clinic Biobank or the Division of Hematology at Mayo Clinic, Rochester. Participants were followed for incident lymphoid malignancy, including CLL, with diagnoses confirmed by medical record review. mCAs with cell fraction >1% were detected from array-based genotyping of whole blood DNA. Cox proportional hazards models, adjusted for age and sex, estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of developing an incident lymphoid malignancy in individuals with autosomal mCA versus those without an autosomal mCA. Results In 4,331 participants with available MBL and mCA status, the median age was 67 years, and 45% were male. Flow cytometry identified 3,231 individuals who screened negative for MBL, 754 individuals with low-count MBL, and 346 individuals with high-count MBL. Autosomal mCAs were present in 6.5% of individuals without MBL, 7.6% with low-count MBL, and 71.1% with high-count MBL. Over a median follow-up of 6.9 years, 237 individuals developed an incident lymphoid malignancy. The most common types were CLL, multiple myeloma, and diffuse large B-cell lymphoma. Ignoring MBL status, the presence of an autosomal mCA was associated with increased risk of lymphoid malignancy (HR = 2.65; 95% CI: 1.45–4.86; P = 0.002), replicating previous results. However, after excluding individuals with MBL, this association attenuated; those with mCA alone did not have a significantly elevated risk (HR = 1.60; 95% CI: 0.57-4.52; P = 0.38) compared to individuals without MBL or mCA. We next examined the effect of mCAs among individuals with MBL. In those with low-count MBL, the most frequent mCA events were 13q loss (2.1%), 12 gain (1.9%), and 4q CNLOH (1.2%), and individuals with an mCA had a borderline significant risk of developing a lymphoid malignancy (HR = 2.78; 95% CI: 1.01–7.67; P = 0.049) compared to those without an mCA. Similarly, in those with high-count MBL, the most frequent mCA events were 13q loss/CNLOH (31.2%), 12 gain (13.0%), and 11q loss (4.9%), and the presence of an mCA conferred an increased risk compared to those without mCA (HR = 1.51; 95% CI: 1.09-2.08; P = 0.012). Conclusions Autosomal mCAs were more frequent in individuals with high-count MBL compared to those with low-count or no MBL. mCAs showed limited predictive value for lymphoid malignancy among individuals without MBL. In contrast, in individuals with low-count MBL, autosomal mCAs emerged as a potential biomarker for identifying those at risk of developing a lymphoid malignancy. In high-count MBL, mCAs were also a biomarker, but were driven by known chromosomal abnormalities identified through clinical testing. These findings suggest that the utility of mCAs as a predictive marker for lymphoid malignancy is contingent on the presence of MBL and may inform risk stratification and surveillance strategies in this population.