Heterogeneity Of Chronic Lymphocytic Leukemia Research Articles

Revealing heterogeneity in chronic lymphocytic leukemia: AI-driven insights into aggressive and indolent disease subtypes.

e19029 Background: Chronic lymphocytic leukemia (CLL) exhibits a broad spectrum of clinical behaviors, from indolent courses requiring minimal intervention to aggressive forms demanding immediate treatment. The underlying heterogeneity of CLL poses significant challenges in predicting disease progression and tailoring patient-specific therapeutic strategies. Leveraging advanced and novel artificial intelligence (AI) and machine learning (ML) methodologies, our study aims to dissect the complexity of CLL, focusing on the identification and characterization of biomarkers that differentiate aggressive and indolent disease forms. Methods: The NetraAI is a priorietaryAI/ML system that is also being utilized in a research collaboration at a leading American oncology institute (not disclosed) that integrates machine intelligence, augmented intelligence, and an agent that interacts with AI-derived patient representations. This system was designed to learn from datasets with a small number of samples and many independent variables. This system operates by generating hypotheses in the form of interactive representations of patient populations that reveal heterogeneity along with statistically significant driving factors. Finally, an automated agent called AutoPlay interacts with these representations and generates an accounting of all variables, subpopulations of samples, and it also generates a human readable perspective on what was discovered by the data set. Results: We applied the NetraAI to a CLL dataset and used it to refine the analysis and interpretation of the corresponding transcriptomic data (GSE39411). Significantly lower levels of FADS3, GSDME, LPL, IMMT, NMB, and AEBP1 and higher expressions of COBLL1, P2RY1R, PDE8A, SYNE2, and FCRL3 were identified as hallmarks of indolent CLL, suggesting these markers could inform less aggressive disease management strategies. Furthermore, within a total of 104 CLL samples, we uncovered two distinct subpopulations within aggressive CLL, delineated by unique genetic markers. Group A, encompassing 31 aggressive CLL samples is predominantly characterized by the expression of lipoprotein lipase (LPL), while Group B, comprising 22/23 aggressive samples, is characterized by ZBTB20 and SYNE2. Our poster will also provide glimpses into a more refined heterogeneity that emerged from the analysis. Our results not only underscore the heterogeneity within aggressive CLL, but also highlights the potential for these markers to guide prognostic assessments and therapeutic decisions. Conclusions: This study not only advances our understanding of CLL heterogeneity, but also sets the stage for the development of more personalized and effective treatment modalities. By identifying drivers of disease aggression and indolence, we pave the way for targeted therapies that could significantly improve patient outcomes in CLL.

B-cell receptor immunoglobulin stereotypy in chronic lymphocytic leukemia: Key to understanding disease biology and stratifying patients

Sequence convergence, otherwise stereotypy, of B-cell receptor immunoglobulin (BcR IG) from unrelated patients is a distinctive feature of the IG gene repertoire in chronic lymphocytic leukemia (CLL) whereby patients expressing a particular BcR IG archetype are classified into groups termed stereotyped subsets. From a biological perspective, the fact that a considerable fraction (∼41%) of patients with CLL express (quasi)identical or stereotyped BcR IG underscores the key role of antigen selection in the natural history of CLL. From a clinical perspective, at odds with the pronounced heterogeneity of CLL at large, patients belonging to the same stereotyped subset display consistent clinical presentation and outcome, including response to treatment, likely as a reflection of consistent biological background. Many major stereotyped subsets were recently shown to have satellites, that is, smaller subsets that are immunogenetically similar. Preliminary evidence supports that this similarity extends to shared biological and even clinical features, with important implications for patient stratification. Consequently, BcR IG stereotypy emerges as a powerful tool for dissecting the heterogeneity of CLL toward refined risk stratification and, eventually, more precise therapeutic interventions.

Investigation into Intraclonal Heterogeneity of CXCR4 DimCD5 Bright Chronic Lymphocytic Leukemia Cells Identifies Distinct Activation Signatures

Chronic Lymphocytic Leukemia (CLL) is a heterogeneous disease associated with diverse clinical and molecular profiles, suggesting long-term clonal evolution driven by genetic diversification from a small, often undetected, subset of leukemic cells endowed with superior growth capacities. More importantly, this diversification process enhances the opportunity of CLL subclones to survive selective pressure, such as BTK or PLCG2 mutations that can abolish the effect of BTK inhibitors. While this evolutionary process is inevitable in leukemic cells, therapeutic intervention targeting the cells that have just replicated their DNA, and hence could have accumulated new genomic mutation, would be an effective strategy to significantly delay or abort the emergence of deleterious mutations. In CLL, a series of studies involving consumption of 2H 2O determined that CXCR4 DimCD5 Bright cells (proliferative fraction, PF) of CLL clones contain most of the recently divided cells, identified by the presence of 2H-DNA. This conclusion was supported by finding elevated numbers of Ki67 + and MCM6 + cells in the same fraction, when compared to other CLL cells. Furthermore, PF is superior in: lymphoid tissue homing in xenograft models; activating T cells; the capacity to alter tumor microenvironment (TME) by Th2 skewing; and expression of AICDA which can increase the likelihood of off-target genomic mutations. To permit a focused analysis of PF that would allow us to intercept this evolutionary loop, we characterized the single cell transcriptomes of PF from 4 U-CLL and 4 M-CLL patients immediately prior to ibrutinib treatment. Consistent with previous reports, the majority of PF (herein APC-PF) cells express certain antigen presentation molecules with a gene signature suggestive of T cell regulation and cell-cell interactions. Additionally, we discovered a small subpopulation with an upregulation of MIR155HG, HSP90AB, CCL3, CCL4, MYC and a concomitant MYC activation signature (herein MYC-PF). Since miR-155 expression can be induced by CD40L or B-cell-activating factors, this PF subset may reflect prior BCR ligation and/or T cell co-stimulation. However, the strongest BCR activation signature was found in another PF subpopulation (herein BCR-PF) with an enrichment of germinal center-related genes (e.g., BACH2, PAX5, FOXP1) and CLL-associated molecules ( BCL2, ROR1, MSI2, PLCG2). Furthermore, the BCR-PF cells are least likely to be resting (in G1/G0) compared to others. Collectively, these findings suggest effective BCR engagement, either from the TME or cell-autonomously. Corroborating these findings with our previous studies documenting the CXCR4/CD5 fractions and the expression of protein proliferation markers, our transcriptomic analyses suggest that the BCR-PF may be the most immediate emigrant from the proliferation centers (PC) within CLL lymph nodes (LN). To probe this possibility, spatial transcriptomic analysis was performed on FFPE LN tissues from surgical biopsies from 3 U-CLL and 1 M-CLL patients. Single cell deconvolution was used to determine the relative abundance of cells within the anatomically defined PCs that resemble the three PF subpopulations transcriptomically. Our results suggest that PCs are more enriched in cells resembling BCR-PF, followed by cells bearing the APC-PF signature. To extend on these observations, we have documented that the unique surface markers expressed in these PF subfractions positively correlate with our transcriptomic results. Taken together, these results not only highlighted the molecular heterogeneity of CLL, but also lead to the identification of two PF subpopulations that may provide novel actionable therapeutic targets to significantly halt CLL clonal evolution.

Evidence of Defective Cell-Autonomous Signalling By B Cell Receptors in CLL Stereotyped Subset #1

B cell receptor (BCR)-mediated signalling is central in the pathogenesis of chronic lymphocytic leukaemia (CLL), and represents a target for pharmacological intervention. Notably, so far characterized CLL-derived BCRs are capable of triggering cell-autonomous intracellular signalling through homotypic interactions without requirement for exogenous antigens. Approximately 41% of all CLL cases can be classified in subsets based on homologous, otherwise known as stereotyped, BCRs expressed by the malignant clones, sharing remarkably similar sequences in the VH CDR3 region and highly restricted immunoglobulin heavy and/or light variable genes. Since cases within a subset display clinicobiological consistency in contrast with the pronounced heterogeneity of CLL at large, analysis of the mechanism of BCR-mediated signalling can unveil correlations between molecular details of BCR activation and the course of the disease. Our present study focused on BCRs of stereotyped subset #1, the second largest stereotyped subset, known for a particularly aggressive clinical course. Cases belonging to subset #1 express unmutated IGHV genes of phylogenetic clan I (namely, IGHV1, IGHV5 and IGHV7 subgroup genes) partnered by light chains encoded by the IGKV1-39/1D-39 gene. First, we used X-ray crystallography to determine the high-resolution crystal structures of the BCR Fab fragments from three subset #1 cases utilizing the IGHV1-2, IGHV1-3, and IGHV5-10 genes partnered with IGKV1-39/1D-39 to obtain information on the combining sites' structures and possible modes of intermolecular interactions that may mediate cell-autonomous signalling. Analysis of the experimental structures revealed that, despite the high sequence homology of the three proteins, the heavy and light chain CDR loops in the three BCR Fabs are arranged differently to shape binding cavities with distinct dimensions and polarity, thus suggesting that distinct antigens may be the physiological target of each subgroup. Unlike BCRs from other subsets previously characterised, the intermolecular contacts between the subset #1 Fab molecules in the three crystals involve diverse residues that are not indicative of a shared homotypic interaction. In addition, the surfaces involved in the contacts are small and the computed energies for the protein-protein contacts observed are suggestive at best of very weak interactions. In accordance to this, when we used analytical ultracentrifugation along with chromatographic and calorimetric methods to detect BCR Fab oligomerization in solution, no evidence of self-association was obtained, thus indicating that the receptors in solution either do not interact, or are characterized by self-dissociation constants that exceed the sensitivity limit of the techniques employed. To assess whether the cellular environment could promote self-association and signalling activity of the full-length BCR, we expressed subset #1 BCRs in the model triple knockout (TKO) pre-B-cell line, designed to measure Ca 2+ ion influx using cytofluorimetry. All subset #1 BCRs tested were unable to mobilize autonomously the Ca 2+ ions, despite being fully expressed on the cell surface and capable of signalling upon stimulation with anti-BCR antibody as a proxy for exogenous ligand. This result is in sharp contrast with the behaviour of all other CLL-derived BCRs so far characterised in this system that could activate a cell-autonomous signal as evidenced from a persistent Ca 2+ ion influx in the transduced cells without requiring external stimuli. Hence, subset #1 BCRs differ from the so far characterized BCRs from CLL cases belonging to other stereotyped subsets, including clinically aggressive subset #2 and its satellite subset #169 as well as the clinically indolent stereotyped subset #4. In conclusion, our combined biochemical and cellular analysis demonstrates that a constitutively active cell-autonomous signalling may not be a unifying feature of all CLL clones as previously proposed, and that other mechanisms may be at the roots of the BCR-mediated signal required for leukemic cell proliferation and development of CLL.

Characterization of Three Somatic Mutations in the 3'UTR of RRAS2 and Their Inverse Correlation with Lymphocytosis in Chronic Lymphocytic Leukemia.

Chronic lymphocytic leukemia (CLL) is a hematologic malignancy characterized by progressive accumulation of a rare population of CD5+ B-lymphocytes in peripheral blood, bone marrow, and lymphoid tissues. CLL exhibits remarkable clinical heterogeneity, with some patients presenting with indolent disease and others progressing rapidly to aggressive CLL. The significant heterogeneity of CLL underscores the importance of identifying novel prognostic markers. Recently, the RAS-related gene RRAS2 has emerged as both a driver oncogene and a potential marker for CLL progression, with higher RRAS2 expression associated with poorer disease prognosis. Although missense somatic mutations in the coding sequence of RRAS2 have not been described in CLL, this study reports the frequent detection of three somatic mutations in the 3' untranslated region (3'UTR) affecting positions +26, +53, and +180 downstream of the stop codon in the mRNA. An inverse relationship was observed between these three somatic mutations and RRAS2 mRNA expression, which correlated with lower blood lymphocytosis. These findings highlight the importance of RRAS2 overexpression in CLL development and prognosis and point to somatic mutations in its 3'UTR as novel mechanistic clues. Our results may contribute to the development of targeted therapeutic strategies and improved risk stratification for CLL patients.

CLL Cells within the Proliferation Centers of the Patient Lymph Nodes Are Enriched for Notch Signaling, Thus NOTCH a Viable Target for CLL Therapy

CLL cells within the Proliferation Centers of the Patient Lymph Nodes are enriched for Notch signaling, thus a Target for CLL Therapy. Shantaram S. Joshi, Michael Pitner, Matt Kling, Furqan Mehdi, Mamta Shukla, Ashima Shukla, Vipul Shukla, Nagendra Chaturvedi, Hamid Band , Javeed Iqbal The tissue microenvironment, particularly the lymph node (LN), plays a major role in regulating the leukemic progression and clinical heterogeneity of chronic lymphocytic leukemia (CLL). CLL cells proliferate in the patient lymph nodes, resulting in the formation of proliferation centers (PCs). The molecular basis of the CLL cell proliferation within PCs is not well known. Several reports have implicated the activated Notch signaling pathway in the pathogenesis of CLL. Using the IRF4 -/-Vh11 mouse model of CLL, we have previously shown that Notch signaling is indispensable for CLL development (Vipul Shukla et al, Oncotarget, 2016). Based on these studies, we hypothesized that CLL cell proliferation in the lymph node PCs involves activated NOTCH signaling. To this end, we have examined the expression levels of Notch signaling associated molecules namely IRF4, Notch 1, Notch 2, Nedd4, Fbxw7 and Itch1 on CLL cells within the patient lymph node proliferation centers (n=12) using immunohistochemistry and western blotting. Expression levels were scored based on the percentage of cells with positive staining: 5+ (>80%), 4+ (60-80%), 3+ (40-60%), 2+ (20-40%), 1+ (<20%) and 0 (No staining). IHC analyses showed that the expression levels of IRF4 to be 2+, Notch 1 was 4+, Notch 2 was -3 to 4+, Nedd4 was 1+, Fbxw7 was 3+ and ITCH1 was 1+. Western blotting of CLL cells from the lymph node proliferation centers (n=6) confirmed a similar pattern of expression of the Notch-associated genes. Together, these results validate the association of Notch signaling in CLL cells of the patient lymph node PCs similar to CLL cells from the IRF4 -/-Vh11 mouse model. Therefore, as a next logical step we treated the MEC-1 and OSU-CLL cells in culture and primary CLL cell from patients with NOTCH inhibitor RO4929097 (RO), a γ-secretase inhibitor for 24, 48 and 72 hours in vitro. There was a significant decrease in the expression NOTCH 1, NOTCH 2 in MEC-1, OSU-CLL and primary CLL cells determined using western blot technique. Also, we observed a significant decrease in proliferation of CLL cells from MEC-1 and OSU-CLL cell lines, following treatment with NOTCH inhibitor RO. In addition, NOTCH inhibitor combined with Bruton's Tyrosine Kinase (BTK) a member of the B-Cell Receptor signaling, showed a further significant decrease in the proliferation of CLL cells in culture. Together these experiments demonstrated that NOTCH targeting strategy is a viable therapy for aggressive CLL warranting further preclinical and clinical studies. This work was partially supported by bridge funding from the American Association of Hematology awarded to Dr. Runqing Lu, who passed away during the pursuit of this study.

This Year’s Best in Hematology Diagnosis: Mapping the Heterogeneity of Chronic Lymphocytic Leukemia

This Year’s Best in Hematology Diagnosis: Mapping the Heterogeneity of Chronic Lymphocytic Leukemia

Tumor Heterogeneity-Based Sscr-Score Predicts Prognosis and Reveals Mechanism of SORL1 in Restraining CLL Progression

Introduction Complex heterogeneity is a hallmark of chronic lymphocytic leukemia (CLL) that challenges oncological research and optimal treatment regimens. Although genetic markers with prognostic values have been developed for risk assessment in CLL, the existing prognostic models are far from satisfaction. Single-cell RNA sequencing (scRNA-seq) technologies have made it possible to illustrate the genetic heterogeneity and cell differentiation status at the single-cell level. A prognostic model associated with CLL cell differentiation status was established to refine the risk assessment of CLL patients. Methods Primary CLL cells from 90 patients and CD19+ B cells from 20 healthy donors were collected with informed consents according to the Declaration of Helsinki. Expression levels of SORL1 mRNA and protein in CLL cells were determined by quantitative RT-PCR and western blotting. Cell viability was measured by the CCK-8 assay. Cell cycle and apoptosis were analyzed by PI and Annexin V-PE/7AAD staining. Fatty acid oxidation rate was assessed with Fatty Acid Oxidation Complete Assay Kit. Red oil O staining was performed to evaluate the lipid deposition in CLL cells. Single cell sequencing data were analyzed by the Seurat package and Monocle package in R4.0.5. Results The scRNA-seq profile revealed remarkable intra- and inter-tumoral heterogeneity of CLL. According to the differentiation status, this study reconstructed the evolutionary history of CLL cells, which reflected the molecular classification and risk subgroups of CLL. At the key point of cell differentiation, CLL cells were divided into two subsets with progressive and indolent genetic signatures respectively. Genes differentially expressed between aggressive and indolent subsets were identified. Through univariate and multivariate analysis, four genes (SORL1, SGK1, CYBB, RPL22L1) with significant prognostic values were selected to construct a risk model named SSCR-Score. The risk score was calculated and validated in two independent validation cohorts (Fig 1A). SSCR-Score has revealed the positive prognostic value of SORL1 in CLL. Increased expression of SORL1 was associated with prolonged overall survival and improved time to first treatment in CLL. Among patients with ZAP70 (-) or IGHV mutated status, the expression levels of SORL1 were up-regulated. Although increased expression of SORL1 was associated with favorable prognosis, the biological mechanism of SORL1 still remained ill-defined. This study demonstrated that overexpression of SORL1 restrained cell proliferation, induced cell apoptosis and G2/M cell cycle arrest in CLL cells. In accordance with the RNA sequencing profile, overexpression of SORL1 suppressed abnormal lipid reposition and fatty acid oxidation in CLL cells. On a molecular level, SORL1 down-regulated the expression of lipid-metabolism related genes, including lipoprotein lipase (LPL), carnitine palmitoyltransferase 1A (CPT1A) and carnitine palmitoyltransferase 2 (CPT2). To illustrate the SORL1-mediated regulation of LPL, immunofluorescence staining was performed. Results showed that SORL1 accelerated the degradation of LPL. After the inhibition of lysosome function, accelerated degradation of LPL was not observed in CLL cells overexpressing SORL1. Rescue experiments substantiated that SORL1 impeded progression of CLL through downregulating the activity of LPL which promoted lipid metabolism. Immuno-coprecipitation experiment showed that anti-SORL1 antibody precipitated LPL protein. Additionally, 6-Shohaol induced overexpression of SORL1 in CLL cells. It exhibited potent anti-CLL efficacy by suppressing cell proliferation, promoting cell apoptosis and G2/M cell cycle arrest in CLL cells (Fig 1B). Conclusion CLL presented remarkable heterogeneity which reflected different biological subclasses and risk groups. Through identifying genes differentially expressed between aggressive and indolent cell subsets, a novel prognostic model named SSCR-Score was developed to optimize risk stratification of CLL patients. Moreover, SORL1 restrained progression of CLL by inhibiting lipid metabolism regulated by LPL in CLL cells. SORL1 may serve as a potential strategy for the development of novel therapeutic target in CLL. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

CLL-527 Significance of TP53 Codon 72 in a Cohort of Egyptian Chronic Lymphocytic Leukemia Patients

Chronic lymphocytic leukemia (CLL) is a heterogeneous disease. This heterogeneity is partly explained by the diverse genetic aberrations identified in patients. Due to the high heterogeneity of CLL, clinicians use prognostic biomarkers and risk scoring systems to guide treatment decisions. The codon 72 arginine-to-proline polymorphism (rs1042522) at the p53 locus affects cancer development, as well as response to therapy and survival of cancer patients. The aim of the present study was to investigate the correlation of TP53 codon 72 Arg/Pro polymorphism with the evolution of the disease and prognostic markers in CLL patients attending the oncology centre at Mansoura University (OCMU). Newly diagnosed 100 CLL patients were included in the study with median age (64 years), 65% were males while 35% were females. The median follow-up period was 30 months and during this period, 26 deaths were observed and 31 of patients lost to follow-up. Mean white blood cell count was 57(27-121) x109/L, mean platelet count was 139.7(83.5-193) x109/L, and mean hemoglobin level was 10.9 (9.3-12.6) g/dL. CD38 was expressed in 57% of patients. 13q14 del was detected in 27% of patients (9/33), 11q22 del in 12% of patients (4/33), and 17p del in 8.7% of patients (6/69). We examined TP53 codon 72 polymorphism by restriction fragment length polymorphism (RFLP) in CLL patients and in 87 healthy controls. Analysis of the TP53 codon 72 polymorphism in 100 CLL patients resulted in frequencies of 0.65 and 0.35 for the G and C allele, respectively (Arg/Arg-44 cases, 44%; Arg/Pro-42 cases, 42%; Pro/Pro-14 cases, 14%). In the comparative analysis of the three groups, the patients with the Pro/Pro genotype had a higher number of male patients; 92% of male patients had Pro/Pro genotype. Likewise, patients with the Pro/Pro genotype showed a significant association with CD38 expression and 17p deletion (p = 0.016 and 0.017, respectively) compared to the other groups. Our results can suggest that Pro/Pro genotype contributes to increased susceptibility to CLL risk in our population. Also, it has been observed that genotype (Pro/Pro) has been associated with expression of CD38, 17p del and male gender.

The immune microenvironment shapes transcriptional and genetic heterogeneity in chronic lymphocytic leukemia

AbstractIn chronic lymphocytic leukemia (CLL), B-cell receptor signaling, tumor–microenvironment interactions, and somatic mutations drive disease progression. To better understand the intersection between the microenvironment and molecular events in CLL pathogenesis, we integrated bulk transcriptome profiling of paired peripheral blood (PB) and lymph node (LN) samples from 34 patients. Oncogenic processes were upregulated in LN compared with PB and in immunoglobulin heavy-chain variable (IGHV) region unmutated compared with mutated cases. Single-cell RNA sequencing (scRNA-seq) distinguished 3 major cell states: quiescent, activated, and proliferating. The activated subpopulation comprised only 2.2% to 4.3% of the total tumor bulk in LN samples. RNA velocity analysis found that CLL cell fate in LN is unidirectional, starts in the proliferating state, transitions to the activated state, and ends in the quiescent state. A 10-gene signature derived from activated tumor cells was associated with inferior treatment-free survival (TFS) and positively correlated with the proportion of activated CD4+ memory T cells and M2 macrophages in LN. Whole exome sequencing (WES) of paired PB and LN samples showed subclonal expansion in LN in approximately half of the patients. Since mouse models have implicated activation-induced cytidine deaminase in mutagenesis, we compared AICDA expression between cases with and without clonal evolution but did not find a difference. In contrast, the presence of a T-cell inflamed microenvironment in LN was associated with clonal stability. In summary, a distinct minor tumor subpopulation underlies CLL pathogenesis and drives the clinical outcome. Clonal trajectories are shaped by the LN milieu, where T-cell immunity may contribute to suppressing clonal outgrowth. The clinical study is registered at clinicaltrials.gov as NCT00923507.

Perspectives on Precision Medicine in Chronic Lymphocytic Leukemia: Targeting Recurrent Mutations-NOTCH1, SF3B1, MYD88, BIRC3.

Chronic lymphocytic leukemia (CLL) is highly heterogeneous, with extremely variable clinical course. The clinical heterogeneity of CLL reflects differences in the biology of the disease, including chromosomal alterations, specific immunophenotypic patterns and serum markers. The application of next-generation sequencing techniques has demonstrated the high genetic and epigenetic heterogeneity in CLL. The novel mutations could be pharmacologically targeted for individualized approach in some of the CLL patients. Potential neurogenic locus notch homolog protein 1 (NOTCH1) signalling targeting mechanisms in CLL include secretase inhibitors and specific antibodies to block NOTCH ligand/receptor interactions. In vitro studies characterizing the effect of the splicing inhibitors resulted in increased apoptosis of CLL cells regardless of splicing factor 3B subunit 1 (SF3B1) status. Several therapeutic strategies have been also proposed to directly or indirectly inhibit the toll-like receptor/myeloid differentiation primary response gene 88 (TLR/MyD88) pathway. Another potential approach is targeting nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) and inhibition of this prosurvival pathway. Newly discovered mutations and their signalling pathways play key roles in the course of the disease. This opens new opportunities in the management and treatment of CLL.

The Biology of Chronic Lymphocytic Leukemia: Diagnostic and Prognostic Implications.

The high degree of clinical heterogeneity of chronic lymphocytic leukemia (CLL) is influenced by the disease molecular complexity. Genetic studies have allowed to better understand CLL biology and to identify molecular biomarkers of clinical relevance. TP53 disruption represents the strongest prognosticator of chemorefractoriness and indicates the use of Bruton tyrosine kinase inhibitors (BTKis) and BCL2 inhibitors. Unmutated IGHV (immunoglobulin heavy variable) genes also predict refractoriness to chemoimmunotherapy; importantly, when treated with B-cell receptor inhibitors or BCL2 inhibitors, IGHV unmutated patients display an outcome similar to that of IGHV mutated CLL. Before choosing treatment, a comprehensive assessment of TP53 and IGHV status is recommended by all guidelines for CLL clinical management. In case of fixed-duration therapeutic strategies, monitoring of minimal residual disease may provide a tool to decide treatment duration. The current precision medicine management of CLL patients might be further improved by the adoption of novel biomarkers that are emerging as clinically meaningful for this disease.

Higher-order connections between stereotyped subsets: implications for improved patient classification in CLL

Chronic lymphocytic leukemia (CLL) is characterized by the existence of subsets of patients with (quasi)identical, stereotyped B-cell receptor (BcR) immunoglobulins. Patients in certain major stereotyped subsets often display remarkably consistent clinicobiological profiles, suggesting that the study of BcR immunoglobulin stereotypy in CLL has important implications for understanding disease pathophysiology and refining clinical decision-making. Nevertheless, several issues remain open, especially pertaining to the actual frequency of BcR immunoglobulin stereotypy and major subsets, as well as the existence of higher-order connections between individual subsets. To address these issues, we investigated clonotypic IGHV-IGHD-IGHJ gene rearrangements in a series of 29 856 patients with CLL, by far the largest series worldwide. We report that the stereotyped fraction of CLL peaks at 41% of the entire cohort and that all 19 previously identified major subsets retained their relative size and ranking, while 10 new ones emerged; overall, major stereotyped subsets had a cumulative frequency of 13.5%. Higher-level relationships were evident between subsets, particularly for major stereotyped subsets with unmutated IGHV genes (U-CLL), for which close relations with other subsets, termed “satellites,” were identified. Satellite subsets accounted for 3% of the entire cohort. These results confirm our previous notion that major subsets can be robustly identified and are consistent in relative size, hence representing distinct disease variants amenable to compartmentalized research with the potential of overcoming the pronounced heterogeneity of CLL. Furthermore, the existence of satellite subsets reveals a novel aspect of repertoire restriction with implications for refined molecular classification of CLL.

Prognostic factors and effectiveness of the first-line therapy for chronic lymphocytic leukemia: results of 10-year follow-up

Introduction.The biological heterogeneity of chronic lymphocytic leukemia (CLL) is reflected in the rate of progression, the need for therapy, and the response to treatment. Analysis of prognostic factors contributes to improving the quality of treatment and rational distribution of healthcare resources.Materials and methods.Among 890 patients with documented stage of CLL, 405 (45.5 %) received treatment. As the first-line of treatment, 173 patients received intensive regimens (FCR or BR), 6 – new agents, and 226 – all other regimens. The initial stage of the disease, mutation status of IGHV, del17p with or without complex karyotype were analyzed as prognostic markers.Results.Immunochemotherapeutic regimens were shown to be highly effective in case planned amount of treatment was completed. The combination of such prognostic parameters as the initial stage of the disease, the mutation status of IGHV, and the presence of del17p and/or complex karyotype allows us to clearly identify a group of patients with an unfavorable prognosis, for which it is advisable to use either intensive programs or new agents in the first-line therapy.

Abstract PO-01: Transcriptional dimensions provide a framework for describing tumor heterogeneity in CLL

Abstract Our goal is to define multiple informative transcriptome variables that capture sources of heterogeneity in chronic lymphocytic leukemia (CLL) cells, for flexible modeling in epidemiology and clinical studies. CD19+/CD5+ B-cells were sorted from whole blood of 227 CLL patients and RNA was sequenced on the HiSeq4000 or NovaSeq platforms as part of the ORIEN Avatar Initiative. Transcript-based read counts were generated from FASTQ files using Salmon. High-quality genes were selected and read counts internally normalized and corrected for batch effects using ComBat. Preprocessing resulted in a final set of 8,716 quality-controlled, autosomal, protein-coding genes. PCA was performed and, using a scree test, we selected 14 dimensions that represented 55.9% of the total variance across the CLL patients' transcriptomes. Fourteen quantitative, orthogonal CLL dimension variables were calculated for all 227 patients. By design, these CLL dimensions capture transcriptome variance and provide novel multi-gene expression biomarkers. We assessed whether these CLL transcriptome dimensions captured known clinically relevant molecular differences. First, we investigated associations with IGVH mutational status (determined using MiXCR). CLL dimension variables 1, 5, 6, and 8 predicted IGHV mutational status (p=4.6x10-16). Next, we investigated associations with ZAP70 and CD38 biomarkers, calculated by their expression in the RNA sequencing data using a separate pipeline and correcting for batch effects by ComBat (neither gene was in the 8,716 genes retained for PCA). CLL dimension variables 3, 5, 6, 7, and 8 significantly predicted Zap70 expression (p=1.6x10-38). CLL dimension variables 2, 3, 5, and 6 significantly predicted CD38 expression (p=3.1x10-31). Transcriptome dimension variables provide a flexible intrinsic framework to describe heterogeneity across CLL patients. We have shown that our transcriptome dimensions capture IGHV mutational status and ZAP70 and CD38 expression, all biomarkers for prognosis. Future work will include exploring the ability of the 14 dimensions to capture other known important molecular markers for CLL, including somatic deletion of 17p deletion, somatic mutational patterns, microsatellite instability, and previously described expression-based subgroups. Transcriptome dimensions are designed for utility as predictor variables, alongside other covariates, in parametric modeling, and have the potential to improve both epidemiology and clinical studies. Citation Format: Julie E. Feusier, Rosalie G. Waller, Michael J. Madsen, Brian Avery, Nicola J. Camp. Transcriptional dimensions provide a framework for describing tumor heterogeneity in CLL [abstract]. In: Proceedings of the AACR Virtual Meeting: Advances in Malignant Lymphoma; 2020 Aug 17-19. Philadelphia (PA): AACR; Blood Cancer Discov 2020;1(3_Suppl):Abstract nr PO-01.

ITGA4 gene methylation status in chronic lymphocytic leukemia.

Background:We aimed to investigate ITGA4 gene expression pattern and to explore its methylation heterogeneity in chronic lymphocytic leukemia (CLL).Patients & methods:Eighty one CLL patients and 75 healthy subjects were enrolled and prognostic evaluation of patients was assessed. ITGA4 q-realtime PCR was performed using Applied Biosystems, TaqMan gene expression assay. ITGA4 gene-specific CpG methylation was investigated in real time using pyrosequencing technology.Results:ITGA4 was differentially expressed in CLL patients. The CpG sites-1, 2 and 3 showed significantly higher mean levels than healthy controls (p = <0.001, 0.007 and 0.009). Significant association between CpG site-1 and CLL has been detected using age-adjusted logistic regression (p < 0.001).Conclusion:Hypermethylation at ITGA4 gene CpG sites (1,2,3) is a characteristic feature in CLL.

Minimal spatial heterogeneity in chronic lymphocytic leukemia at diagnosis

Acknowledgements This study was supported by the Instituto de Salud Carlos III and the European Regional Development Fund “Una manera de hacer Europa” (grant PMP15/00007), and the “la Caixa” Foundation (grant CLLEvolution-HR17-00221). EC is an Academia Researcher of the ‘Institucio Catalana de Recerca i Estudis Avancats’ (ICREA) of the Generalitat de Catalunya. FN is supported by a predoctoral fellowship of the Ministerio de Economia y Competitividad (BES-2016-076372). FM is supported by the Memorial Sloan Kettering Cancer Center NCI Core Grant (P30 CA 008748).

Spatial Genomic Heterogeneity in Chronic Lymphocytic Leukemia

Activation and proliferation of chronic lymphocytic leukemia (CLL) cells depend on signals from the lymph node (LN) tumor microenvironment (TME). Separately, the genetic makeup of CLL has been closely linked to disease aggressiveness and its capacity to evolve under the selective pressures of treatment. Here, we investigated the intersection between the TME and molecular events in CLL pathogenesis. Whole exome and RNA sequencing (RNA-seq) were performed on CD19+ cells of paired peripheral blood (PB) and LN samples and matched germline DNA from 14 patients with treatment-naïve CLL. RNA-seq was also done on unsorted LN samples containing tumor and non-tumor cells from the same patients. A median of 27 (range 11-69) somatic single nucleotide variants (sSNVs) and 3 (0-10) insertions and deletions (sIndels) were detected per exome. All but one patient had copy number alterations (CNAs), most commonly del 11q and del 13q. Cancer cell fractions (CCFs) of sSNVs, sIndels, and CNAs were inferred from variant allele frequencies then clustered over the two anatomic compartments for each patient. Genetic compartmentalization (ΔCCF &gt; 0.25, false discovery rate [FDR] &lt; 0.1) was observed in 7 patients (50%), of whom 6 demonstrated subclonal expansion in LN. To understand factors contributing to spatial heterogeneity, we compared the tumor transcriptome based on the presence (shifted group) or absence (stable group) of an expanded subclone in LN. Most differentially expressed genes between PB and LN were shared by all patients and reflected the activation of CLL cells in the LN TME as previously shown. However, cell cycle genes (e.g. E2F2, CDC25A) were more upregulated (log2FC &gt; 0.5, FDR &lt; 0.05) in LN of the shifted group, while lymphocyte activation markers (e.g. CD83, CD69) were more upregulated in LN of the stable group. We hypothesized the latter finding could indicate immune-mediated control of clonal outgrowth. We therefore evaluated the expression of an 18-gene T-cell associated inflammatory signature in unsorted LN samples. This signature was originally developed as a predictive biomarker for response to immune checkpoint blockade in multiple cancer types. Unsupervised hierarchical clustering of signature genes revealed an inflamed TME in the stable group relative to the shifted group. In summary, genetic compartmentalization is a common phenomenon in CLL. Clonal equilibrium is maintained by a T-cell inflamed TME. When immune surveillance is inactivated, subclones with a competitive advantage may expand in response to support signals provided by the TME. An immunotherapy-based clinical study using checkpoint blockade to restrict clonal evolution is currently in progress (NCT03204188). This research was supported by the Intramural Research Program of the NIH, NHLBI. Disclosures Getz: Pharmacyclics: Research Funding; IBM: Research Funding; MuTect, ABSOLTUE, MutSig and POLYSOLVER: Patents &amp; Royalties: MuTect, ABSOLTUE, MutSig and POLYSOLVER. Wu:Neon Therapeutics: Other: Member, Advisory Board; Pharmacyclics: Research Funding. Wiestner:Merck: Research Funding; Pharmayclics: Research Funding; Acerta: Research Funding; Nurix: Research Funding.

Highlights from Recent Cancer Literature

Highlights from Recent Cancer Literature

Corrupted coordination of epigenetic modifications leads to diverging chromatin states and transcriptional heterogeneity in CLL

Cancer evolution is fueled by epigenetic as well as genetic diversity. In chronic lymphocytic leukemia (CLL), intra-tumoral DNA methylation (DNAme) heterogeneity empowers evolution. Here, to comprehensively study the epigenetic dimension of cancer evolution, we integrate DNAme analysis with histone modification mapping and single cell analyses of RNA expression and DNAme in 22 primary CLL and 13 healthy donor B lymphocyte samples. Our data reveal corrupted coherence across different layers of the CLL epigenome. This manifests in decreased mutual information across epigenetic modifications and gene expression attributed to cell-to-cell heterogeneity. Disrupted epigenetic-transcriptional coordination in CLL is also reflected in the dysregulation of the transcriptional output as a function of the combinatorial chromatin states, including incomplete Polycomb-mediated gene silencing. Notably, we observe unexpected co-mapping of typically mutually exclusive activating and repressing histone modifications, suggestive of intra-tumoral epigenetic diversity. Thus, CLL epigenetic diversification leads to decreased coordination across layers of epigenetic information, likely reflecting an admixture of cells with diverging cellular identities.