Disparity in treatment patterns among Medicare beneficiaries diagnosed with chronic lymphocytic leukemia: an analysis of patient and contextual factors.

This study characterizes the patterns and timing of CLL treatment and, to our knowledge, is the first to identify social vulnerability factors associated with CLL treatment receipt in the Medicare population. A total of 3508 Medicare beneficiaries diagnosed with CLL from 2017 to 2019 were identified. We reported the proportion of individuals who received CLL treatment and the time until the first CLL treatment receipt after the first observed claim with a CLL diagnosis. Logistic regression and time-to-event models provided adjusted odds ratios and hazard ratios associated with baseline individual-level and county-level factors. Sixteen percent of individuals received CLL treatment, and the median follow-up time was 540 d. The median time to receipt of CLL treatment was 61 d. Older age and residence in a county ranked high in social vulnerability (as defined by minority status and language) were negatively associated with treatment receipt and time to treatment receipt.

Treatment Patterns, Healthcare Resource Utilization, and Costs of Patients With Chronic Lymphocytic Leukemia or Small Lymphocytic Lymphoma in the US.

BACKGROUND: Chronic lymphocytic leukemia (CLL) is the most common type of leukemia among US adults and has experienced a rapidly evolving treatment landscape; yet current data on treatment patterns in clinical practice and economic burden are limited. This study aimed to provide an up-to-date description of real-world characteristics, treatments, and costs of patients with CLL or small lymphocytic lymphoma (SLL). MATERIALS AND METHODS: Using retrospective data from the Optum Clinformatics DataMart database (January 2013 to December 2021), adults with diagnosis codes for CLL/SLL on two different dates were selected. An adapted algorithm identified lines of therapy (LOT). Treatment patterns were stratified by the index year pre- and post-2018. Healthcare resource utilization and costs were evaluated per patient-years. RESULTS: A total of 18 418 patients with CLL/SLL were identified, 5226 patients (28%) were treated with ≥1 LOT and 1728 (9%) with ≥2 LOT. Among patients diagnosed with CLL in 2014-2017 and ≥1 LOT (N = 2585), 42% used targeted therapy and 30% used chemoimmunotherapy in first line (1L). The corresponding proportions of patients diagnosed with CLL in 2018-2021 (N = 2641) were 54% and 16%, respectively. Total costs were numerically 3.5 times higher and 4.9 times higher compared with baseline costs among patients treated with 1L+ and 3L+, respectively. CONCLUSION: This study documented the real-world change in CLL treatment landscape and the substantial economic burden of patients with CLL/SLL. Specifically, targeted therapies were increasingly used as 1L treatments and they were part of more than half of 1L regimens in recent years (2018-2021).

Principal component analysis yields results comparable to those of an elaborate Boolean strategy: simplifying the assessment of measurable residual disease in chronic lymphocytic leukemia patients.

INTRODUCTION: Measurable residual disease (MRD) is becoming increasingly important in the chronic lymphocytic leukemia (CLL) context. It is of independent prognostic significance in terms of favorable progression-free and overall survival. The standardized methods used to assess CLL MRD are based on flow cytometry and real-time quantitative PCR. We here present a nine-color assay for CLL MRD with the ROR-1 marker antigen as recommended by the European Research Initiative (ERIC) on CLL; the sensitivity is at least 10-5. MATERIALS AND METHODS: We used 54 samples to develop a new principal component analysis (PCA) method based on the Kaluza© "radar" presentation mode. We used a Navios flow cytometer (Beckman Coulter©). RESULTS: We confirmed the linearity of our method over more than five dilutions. The specificity limit was 1.3×10-6 and the lower limit of detection was 3.6×10-6. Compared to the Boolean method, the sensitivity, specificity, and positive and negative predictive values of our PCA method were 100%. When MRD was detectable, PCA and Boolean assays were in agreement (linear regression, R2 = 0.99). CONCLUSION: We developed a new PCA-based method for detection of CLL MRD. Our method is comparable to that of the consensus method in terms of sensitivity, and it is also much easier and faster.

Computational flow cytometry provides accurate assessment of measurable residual disease in chronic lymphocytic leukaemia.

Undetectable measurable residual disease (MRD) is associated with favourable clinical outcomes in chronic lymphocytic leukaemia (CLL). While assessment is commonly performed using multiparameter flow cytometry (MFC), this approach is associated with limitations including user bias and expertise that may not be widely available. Implementation of unsupervised clustering algorithms in the laboratory can address these limitations and have not been previously reported in a systematic quantitative manner. We developed a computational pipeline to assess CLL MRD using FlowSOM. In the training step, a self-organising map was generated with nodes representing the full breadth of normal immature and mature B cells along with disease immunophenotypes. This map was used to detect MRD in multiple validation cohorts containing a total of 456 samples. This included an evaluation of atypical CLL cases and samples collected from two different laboratories. Computational MRD showed high correlation with expert analysis (Pearson's r > 0.99 for typical CLL). Binary classification of typical CLL samples as either MRD positive or negative demonstrated high concordance (>98%). Interestingly, computational MRD detected disease in a small number of atypical CLL cases in which MRD was not detected by expert analysis. These results demonstrate the feasibility and value of automated MFC analysis in a diagnostic laboratory.

Clonal Characterization and Somatic Hypermutation Assessment by Next-Generation Sequencing in Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma: A Detailed Description of the Technical Performance, Clinical Utility, and Platform Comparison.

Somatic hypermutation status of the IGHV gene is essential for treating patients with chronic lymphocytic leukemia/small lymphocytic lymphoma. Unlike the conventional low-throughput method, assessment of somatic hypermutation by next-generation sequencing (NGS) has potential for uniformity and scalability. However, it lacks standardization or guidelines for routine clinical use. We critically assessed the performance of an amplicon-based NGS assay across 458 samples. Using a validation cohort (35 samples), the comparison of two platforms (Ion Torrent versus Illumina) and two primer sets [leader versus framework region 1 (FR1)] in their ability to identify clonotypic IGHV rearrangement(s) revealed 97% concordance. The mutation rates were identical by both platforms when using the same primer set (FR1), whereas a slight overestimation bias (+0.326%) was found when comparing FR1 with leader primers. However, for nearly all patients this did not affect the stratification into mutated or unmutated categories, suggesting that use of FR1 may provide comparable results if leader sequencing is not available and allowing for a simpler NGS laboratory workflow. In routine clinical practice (423 samples), the productive rearrangement was successfully detected by either primer set (leader, 97.7%; FR1, 94.7%), and a combination of both in problematic cases reduced the failure rate to 1.2%. Higher sensitivity of the NGS-based analysis also detected a higher frequency of double IGHV rearrangements (19.1%) compared with traditional approaches.

A novel comorbidity score for older adults with non-Hodgkin lymphoma: the 3-factor risk estimate scale.

For patients with non-Hodgkin lymphoma (NHL), formal comorbidity assessment is recommended but is rarely conducted in routine practice. A simple, validated measure of comorbidities that standardizes their assessment could improve adherence to guidelines. We previously constructed the 3-factor risk estimate scale (TRES) among patients with chronic lymphocytic leukemia (CLL). Here, we investigated TRES in multiple NHL subtypes. In the surveillance, epidemiology, and end results-Medicare database, patients with NHL diagnosed from 2008 to 2017 were included. Upper gastrointestinal, endocrine, and vascular comorbidities were identified using ICD-9/ICD-10 codes to assign TRES scores. Patient characteristic distributions were compared using χ2 or t test. Association of mortality and TRES score was assessed using Kaplan-Meier and multivariable Cox regression model for competing risk. A total of 40 486 patients were included in the study. Median age was 77 years (interquartile range [IQR], 71-83 years). The most frequent NHL subtypes were CLL (28.2%), diffuse large B-cell (27.6%), and follicular lymphoma (12.6%). Median follow-up was 33 months (IQR, 13-60 months). TRES was low, intermediate, and high in 40.8%, 37.0%, and 22.2% of patients, corresponding to median overall survival (OS) of 8.2, 5.3, and 2.9 years (P < .001), respectively. TRES was associated with OS in all NHL subtypes. In multivariable models, TRES was associated with inferior OS and NHL-specific survival. TRES is clinically translatable and associated with OS and lymphoma-specific survival in older adults with NHL.

Next-CLL, a New Next-Generation Sequencing-Based Method for Assessment of IGHV Gene Mutational Status in Chronic Lymphoid Leukemia.

Current guidelines for patients with chronic lymphocytic leukemia (CLL) recommend mutation status determination of the clonotypic IGHV gene before treatment initiation to guide the choice of first-line therapy. Currently, commercially available next-generation sequencing (NGS) solutions have technical constraints, as they necessitate at least a 2 × 300 bp sequencing, which restricts their use for routine practice. The cost of the commercial kits also represents an important drawback. We present a new method called Next-CLL, a ready-to-use strategy to evaluate IGHV gene mutation status using any NGS device (including 2 × 150 bp sequencers) in routine diagnostic laboratories. The performance of Next-CLL was validated on genomic DNA and cDNA obtained from 80 patients with CLL at diagnosis. Next-CLL identified a productive clone in 100% of cases, whereas PCR with Sanger sequencing led to a 12.5% failure rate. Next-CLL had 100% concordance with the reference technique for IGHV gene identification and allowed assessment of the IGHV mutation status from the leader sequence, following international guidelines. Comparing a large retrospective series of samples, analyzed by using Sanger sequencing (n = 773) or Next-CLL (n = 352), showed no bias in IGHV usage or mutational status, further validating our strategy in the real-life setting. Next-CLL represents a straightforward workflow for IGHV analysis in routine practice to assess clonal architecture and prognosis of patients with CLL.

A systematic review of economic evaluations for the pharmaceutical treatment of chronic lymphocytic leukemia and acute myeloid leukemia.

INTRODUCTION: No recent full-text-based systematic review has been published to examine economic evidence around acute myeloid leukemia (AML) or chronic lymphocytic leukemia (CLL) treatment. We aimed to perform a systematic review in this area. AREAS COVERED: This review entailed searches in three main databases for economic evaluations of treatment in AML or CLL. After title and abstract screening, two reviewers examined all the citations in full text. Any disagreement between the two reviewers was resolved through discussion with the third reviewer. We used predesigned tools for data extraction, including study characteristics, primary results and conclusions. The quality of included studies was assessed. EXPERT OPINION: The majority of the studies adopted the modeling approach to estimate the long-term cost-effectiveness of the treatment from the healthcare system payer's perspective. Most studies concluded that the evaluated treatment interventions for untreated or refractory AML or CLL were cost-effective across various jurisdictions. The EQ-5D, followed by time trade-off and standard-gamble, was the most commonly used outcome measure to derive the utility weights associated with each health state. Clear justifications for the choice of modeling technique are recommended for future studies. Collecting the health-related quality of life outcome using a common instrument over the clinical trial could aid the comparability among economic studies.

Circulating Tumor DNA-Based MRD Assessment in Patients with CLL Treated with Obinutuzumab, Acalabrutinib, and Venetoclax.

PURPOSE: With the advent of highly efficacious time-limited combination treatments of targeted agents in chronic lymphocytic leukemia (CLL), minimal residual disease (MRD) assessment has gained importance as a measure for therapeutic success and as a surrogate for progression-free survival. The currently most widely used method is multicolor flow cytometry, which detects circulating CLL cells in the peripheral blood. However, it seems to be less sensitive for the detection of MRD in the lymph node compartment. PATIENTS AND METHODS: To evaluate whether a cell-free approach can overcome this limitation, we performed serial assessments of circulating tumor DNA (ctDNA) in patients with CLL treated with obinutuzumab, acalabrutinib, and venetoclax in the phase II CLL2-BAAG trial. Patient-specific variability, diversity, joining (VDJ) rearrangements as well as somatic driver mutations were tracked before, during and after treatment by digital droplet PCR in blood plasma. Furthermore, these were systematically compared to matched flow cytometry data. RESULTS: In the 381 sample pairs, ctDNA and flow cytometry yielded highly concordant results. However, clone-specific ctDNA was detected in 44 of 152 samples (29%) that were assessed as undetectable MRD (uMRD) by flow cytometry (defined as less than one CLL cell in 10,000 normal leukocytes). 29 ctDNA-negative samples showed detectable MRD >10-4 by flow cytometry. Also, somatic driver mutations were detected with a similar sensitivity compared with patient-specific VDJ rearrangements in plasma. In patients with predominantly nodal residual disease, ctDNA compared favorably with 4-color flow cytometry and seemed to more accurately reflect the entire disease burden across compartments. CONCLUSIONS: On the basis of these findings, ctDNA-based MRD assessment appears to be a promising method to complement cell-based MRD approaches like flow cytometry that focus on circulating CLL cells in the peripheral blood.

Dynamic Bayesian networks for prediction of health status and treatment effect in patients with chronic lymphocytic leukemia.

Chronic lymphocytic leukemia (CLL) is the most common blood cancer in adults. The course of CLL and patients' response to treatment are varied. This variability makes it difficult to select the most appropriate treatment regimen and predict the progression of the disease. This work was aimed at developing and validating dynamic Bayesian networks (DBNs) to predict changes of the health status of patients with CLL and progression of the disease over time. Two DBNs were developed and implemented i.e. Health Status Network (HSN) and Treatment Effect Network (TEN). Based on the literature data and expert knowledge we identified relationships linking the most important factors influencing the health status and treatment effects in patients with CLL. The developed networks, and in particular TEN, were able to predict probability of survival in patients with CLL, which was in line with the survival data collected in large medical registries. The networks can be used to personalize the predictions, taking into account a priori knowledge concerning a particular patient with CLL. The proposed approach can serve as a basis for the development of artificial intelligence systems that facilitate the choice of treatment that maximizes the chances of survival in patients with CLL.

Quantitative features to assist in the diagnostic assessment of chronic lymphocytic leukemia progression†.

The use of artificial intelligence methods in the image-based diagnostic assessment of hematological diseases is a growing trend in recent years. In these methods, the selection of quantitative features that describe cytological characteristics plays a key role. They are expected to add objectivity and consistency among observers to the geometric, color, or texture variables that pathologists usually interpret from visual inspection. In a recent paper in The Journal of Pathology, El Hussein, Chen et al proposed an algorithmic procedure to assist pathologists in the diagnostic evaluation of chronic lymphocytic leukemia (CLL) progression using whole-slide image analysis of tissue samples. The core of the procedure was a set of quantitative descriptors (biomarkers) calculated from the segmentation of cell nuclei, which was performed using a convolutional neural network. These biomarkers were based on clinical practice and easily calculated with reproducible tools. They were used as input to a machine learning algorithm that provided classification in one of the stages of CLL progression. Works like this can contribute to the integration into the workflow of clinical laboratories of automated diagnostic systems based on the morphological analysis of histological slides and blood smears. © 2021 The Pathological Society of Great Britain and Ireland.

The prognostic value of serum levels of a proliferation-inducing ligand (APRIL) in treatment-naïve patients with chronic lymphocytic leukemia

Background/aim: A proliferation-inducing ligand (APRIL) has been investigated as a prognostic marker in chronic lymphocytic leukemia (CLL) patients. However, there is no cut-off level for serum APRIL (sAPRIL) levels that predict time to treatment in CLL patients. Materials and methods: Between May and December 2012, 94 consecutive CLL patients and 25 healthy controls were assessed. sAPRIL levels were measured by ELISA. Demographic data and prognostic markers were obtained from the patients' files. Treatment-naïve patients were followed up for 6.5 years for any treatment need. Results: Patients were divided into 3 groups: Treatment-naïve (n = 47), chemotherapy receiving (n = 25), and those who had received chemotherapy previously (n = 22). There was no difference in median sAPRIL levels of patients who were receiving chemotherapy at the sampling time and the healthy controls, which indicates that sAPRIL levels might be influenced by treatment. For treatment-naïve patients, the best cut-off in predicting time to treatment was found at the sAPRIL level of 2.04 ng/mL, with 78% sensitivity and 63% specificity. Time to treatment was significantly earlier in the APRIL high group (n = 27) than in the APRIL low group (n = 20) (P = 0.010, log-rank test). Conclusion: sAPRIL, a simple, promising blood test which can be measured by ELISA, will likely obtain a place in the wide range of prognostic markers in CLL. Prospective large-scale studies are required to validate and confirm the feasibility of the proposed cut-off level of 2.04 ng/mL as a predictor of time to treatment in treatment-naïve CLL patients.

Targeted massively parallel sequencing of mature lymphoid neoplasms: assessment of empirical application and diagnostic utility in routine clinical practice.

Massively parallel sequencing (MPS) has become a viable diagnostic tool to interrogate genetic profiles of numerous tumors but has yet to be routinely adopted in the setting of lymphoma. Here, we report the empirical application of a targeted 40-gene panel developed for use in mature lymphoid neoplasms (MLNs) and report our experience on over 500 cases submitted for MPS during the first year of its clinical use. MPS was applied to both fresh and fixed specimens. The most frequent diagnoses were diffuse large B-cell lymphoma (116), chronic lymphocytic leukemia/small lymphocytic lymphoma (60), marginal zone lymphoma (52), and follicular lymphoma (43), followed by a spectrum of mature T-cell neoplasms (40). Of 534 cases submitted, 471 generated reportable results in MLNs, with disease-associated variants (DAVs) detected in 241 cases (51.2%). The most frequent DAVs affected TP53 (30%), CREBBP (14%), MYD88 (14%), TNFRSF14 (10%), TNFAIP3 (10%), B2M (7%), and NOTCH2 (7%). The bulk of our findings confirm what is reported in the scientific literature. While a substantial majority of mutations did not directly impact diagnosis, MPS results were utilized to either change, refine, or facilitate the final diagnosis in ~10.8% of cases with DAVs and 5.5% of cases overall. In addition, we identified preanalytic variables that significantly affect assay performance highlighting items for specimen triage. We demonstrate the technical viability and utility of the judicious use of a targeted MPS panel that may help to establish general guidelines for specimen selection and diagnostic application in MLNs in routine clinical practice.

Prognosis Assessment of Early-Stage Chronic Lymphocytic Leukemia: Are We Ready to Predict Clinical Evolution Without a Crystal Ball?

BACKGROUND: The discovery of new biologic variables with high prognostic effect has been accompanied by the emergence of different prognostic indexes (PIs) to assess the time to first treatment in patients with early-stage (Binet A) chronic lymphocytic leukemia (CLL). The present study compared the prognostic value of 5 PIs: CLL international prognostic index (CLL-IPI), Barcelona-Brno, international prognostic score-A (IPS-A), CLL-01, and a tailored approach. PATIENTS AND METHODS: We applied the 5 PIs to a cohort of 428 unselected patients with Binet A CLL from a multicenter Spanish database with clinical and biologic information available. The predictive value of the scores was assessed using Harrell's concordance index (C index) and area under the receiver operating characteristic curve (AUC). RESULTS: We found a significant association between time to first treatment and risk subgroups for all 5 PIs used. The most accurate PI was the IPS-A (C-index, 0.72; AUC, 0.76), closely followed by CLL-01 (C-index, 0.69; AUC, 0.70), CLL-IPI (C-index, 0.69; AUC, 0.69), Barcelona-Brno (C-index, 0.67; AUC, 0.69), and the tailored approach (C-index, 0.61 and 0.58; AUC, 0.58 and 0.54). CONCLUSIONS: The concordance between the PIs was low (44%), suggesting that although all these PIs improve clinical staging and help physicians in routine clinical practice, it will be necessary to harmonize larger cohorts of patients to define the best PI for treatment decision-making in the real world.

The evolving use of minimal residual disease (MRD) assessment in chronic lymphocytic leukemia.

The treatment of chronic lymphocytic leukemia (CLL) has changed remarkably throughout the past decade, with patients achieving deeper and more durable responses. Importantly, this clinical activity has been found to translate to prolonged survival. With some treatments, these responses are now allowing patients to stop therapy after 1 or 2 years, a concept referred to as "fixed duration." However, not all patients experience these outcomes. How to determine which patients can safely stop treatment remains unclear. Minimal residual disease (MRD) is emerging as a prognostic biomarker. In CLL, undetectable MRD has been shown to correlate with prolonged progression-free survival and, in some cases, overall survival. The incorporation of MRD status into clinical decision-making is not yet widely done, primarily based on the lack of prospective clinical trial data. As the endpoint of MRD status becomes more common in clinical trials of CLL, the role in the clinical setting will become more clear. Furthermore, prognostic models will help to determine the utility of MRD as a surrogate endpoint in clinical studies. This monograph examines clinical trial data regarding the role of MRD in CLL, and provides recommendations on how to incorporate MRD assessment into clinical management.

Comparison of Time to Next Treatment, Health Care Resource Utilization, and Costs in Patients with Chronic Lymphocytic Leukemia Initiated on Front-line Ibrutinib or Chemoimmunotherapy.

BACKGROUND: Studies assessing ibrutinib's economic burden versus chemoimmunotherapy (CIT) focused on pharmacy costs but not medical costs. This study compared time to next treatment (TTNT), health care resource utilization (HRU), and total direct costs among patients with chronic lymphocytic leukemia (CLL) initiating front-line ibrutinib single agent (Ibr) or CIT. MATERIALS AND METHODS: Optum Clinformatics Extended DataMart De-Identified Databases were used to identify adults with ≥ 2 claims with a CLL diagnosis initiating front-line Ibr or CIT from February 12, 2014 to June 30, 2017. Inverse probability of treatment weighting was used to control for potential differences in baseline characteristics between the Ibr and CIT cohorts. Two periods were considered: entire front-line therapy (until initiation of second-line therapy) and first 6 months of front-line therapy. Comparisons with a subgroup of CIT patients initiating bendamustine/rituximab (BR) were also conducted. RESULTS: TTNT was significantly longer for Ibr (N = 322) relative to CIT (N = 839; hazard ratio, 0.54; P = .0163; Kaplan-Meier rates [24 months]: Ibr = 88.6%, CIT = 75.9%) and the subset of CIT patients treated with BR (N = 455; hazard ratio, 0.54; P = .0208; Kaplan-Meier rates [24 months]: Ibr = 89.0%, BR = 79.0%). During the entire front-line therapy, Ibr patients had significantly fewer monthly days with outpatient visits (rate ratio = 0.75; P = .0200). Ibrutinib's higher pharmacy costs (mean monthly cost difference [MMCD] = $6,849; P < .0001) were offset by lower medical costs (MMCD = -$10,615; P < .0001), yielding net savings (MMCD = -$3,766; P < .0001) versus CIT. Ibr was associated with net savings (MMCD = -$5,569; P < .0001) versus BR. Cost savings and reductions in HRU were more pronounced during the first 6 months of front-line therapy. CONCLUSION: During front-line CLL treatment, Ibr was associated with longer TTNT, fewer monthly days with outpatient visits, and net monthly total cost reduction versus CIT and BR.