Impact of Organ Function-Based Clinical Trial Eligibility Criteria in Patients With Diffuse Large B-Cell Lymphoma: Who Gets Left Behind?

A Real-World Data-Based Analysis of Prognostic Indices as Part of Trial Eligibility Criteria in Diffuse Large B-Cell Lymphoma Patients

OBJECTIVES

Recent front-line clinical trials used the International Prognostic Index (IPI) to identify trial-eligible patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). However, many IPI-like variants with improved accuracy have been developed over the years for rituximab-treated patients.

METHODS

We assessed the impact of International Prognostic Indices on patient enrolment in clinical trials, aiming to exclude low-risk IPI patients based on POLARIX/EPCORE DLBCL-2 trial criteria.

RESULTS

We identified 2877 patients in the Danish Lymphoma Registry who would have been eligible for the POLARIX trial if patients with IPI 0-1 scores were included. IPI and NCCN-IPI assigned 33.3% and 11.9% of patients to the low-risk group, respectively. Shorter 5-year overall survival (91.4% vs. 97.5%), higher relapse rate (9.9% vs. 4.4%), and more deaths (16.1% vs. 4.4%) occurred in the low-risk IPI group compared with low-risk NCCN-IPI group. Analyzed models failed to identify true high-risk patients with poor prognosis. Similar results were found in the confirmatory cohort developed based on EPCORE DLBCL-2 trial eligibility criteria.

CONCLUSION

True low-risk patients are more optimal identified by NCCN-IPI and should be excluded from front-line clinical trials due to their excellent prognosis. However, additional high-risk factors besides clinical prognostic models need to be considered when selecting trial-eligible patients.

Prevalence of unnecessary kidney function exclusion criteria in urologic oncology clinical trials

INTRODUCTION

Clinical trials play a pivotal role in advancing treatments for people with cancer, but often struggle with low enrollment. Unnecessarily including kidney function eligibility criteria when a trial's interventions do not have any potential kidney effects may contribute to this problem by needlessly limiting the pool of eligible patients, adding complexity to the patient screening process, and raising issues of inequitable access to trials. For these reasons, we applied custom natural language processing to assess renal function eligibility criteria, and the appropriateness of these exclusions, within phase 3 urologic oncology trials.

METHODS

We accessed all phase 3 urologic oncology trials registered on ClinicalTrials.gov from 2007 to 2021. We used a custom natural language processing script to extract kidney function requirements (e.g., creatinine, GFR) from trial free-text records. For each trial, we manually coded whether any trial intervention affected renal function or was renally excreted. Additionally, we recorded the formula used to calculate GFR in each trial.

RESULTS

Of 850 trials, 299 (35%) listed kidney function eligibility restrictions, and 432 (51%) tested an intervention with possible renal effects. Of the 299 trials with kidney function exclusions, 124 (41%) tested interventions with no kidney effects.

CONCLUSION

There is a major disconnect in urologic oncology clinical trials between renal function exclusions and potential harm to the kidneys from the tested interventions. Standardizing eligibility criteria and restricting enrollment based on renal function only when necessary has the potential to increase the success, access, and applicability of clinical trials.

The impact of trial inclusion criteria on outcomes in DLBCL patients treated with R-CHOP in the first line: a Danish nationwide study

Up to 50% of diffuse large B-cell lymphoma (DLBCL) patients are ineligible for participation in clinical trials. Ineligible patients have inferior outcomes, but less is known about the impact of commonly used organ-function-based inclusion criteria on drug efficacy estimates. Data on DLBCL patients treated with CHOP+/-rituximab were retrieved from the Danish Lymphoma Registry. Trial inclusion criteria were extracted from four international DLBCL trials (REMoDL-B, GOYA, POLARIX, and HOVON-84). Differences in overall survival (OS) and 5-year restricted mean survival differences (5 y-RMSDs) between trial eligible and ineligible patients were computed. The effectiveness of adding rituximab to CHOP was quantified by the 5 y-RMSD between CHOP and R-CHOP-treated patients and the impact of individual trial criteria on estimated effectiveness was quantified by Shapley-values. In total, 4,083 R-CHOP-treated and 890 CHOP-treated DLBCL patients were included. Across the trials, 18.6-29.3% of the included R-CHOP-treated patients were deemed ineligible for trial based on organ function and performance status alone. Ineligible patients had significantly worse survival, with adjusted absolute differences in 5-year OS of 9-15%. The impact of individual criteria on the estimated effectiveness of adding rituximab to CHOP was small (Shapley-value range, -2.74-0.31). Using a smaller set of criteria derived from a data-driven approach, the number of eligible patients increased by 16-38% and the 5 y-RMSD increased by 0.7-3.1 months. In conclusion, OS among trial ineligible DLBCL patients is inferior as expected, but relaxing trial criteria would have increased the number of trial participants without making major changes in estimated efficacy for a hypothetical CHOP versus R-CHOP trial. This does not necessarily imply that trial findings based on selected patients are unreliable, as the estimated effectiveness of adding rituximab to CHOP was only slightly affected by omitting selected inclusion criteria.

Real-world data for marginal zone lymphoma patients in the French REALYSA cohort: The REALMA study

Marginal Zone Lymphoma (MZL) comprises three subtypes: extranodal MZL (EMZL), splenic MZL (SMZL) and nodal MZL (NMZL). Since clinical trials have limited representativeness, there is a need for real-world data (RWD) evidence in MZL. Real-world data in Lymphoma and survival in Adults (REALYSA) is a prospective multicentric French cohort of newly diagnosed lymphoma patients. This study consists of the first abstraction of MZL patients prospectively included in REALYSA between 12/2018 and 01/2021 with at least 1 year of follow-up. It provides a landscape description of clinical characteristics, initial workup, quality of life and first-line therapy performed in routine practice. Among 207 included patients, 122 presented with EMZL, 51 with SMZL and 34 with NMZL. At baseline, median age was 67 years (range 28-96), and patients reported a favorable global health status (75/100 (IQR 58,83)) - which was higher in NMZL and lower in SMZL patients (p = 0.006). 18FDG-PET/CT was frequently performed at initial workup (EMZL 72%, SMZL 73%, NMZL 85%). Active surveillance was the initial management for 58 (28%) patients. The most prescribed therapies were rituximab-chlorambucil in the EMZL population (30%), rituximab monotherapy in the SMZL population (37%) and R-CHOP (24%)/bendamustine-rituximab (15%) in the NMZL population. At end of first line, overall response rate was 93% among treated patients with 75% of complete response. This French nationwide study provided for the first time prospective RWD on clinical characteristics, initial management and treatment response of MZL patients.

Effectiveness of R-CHOP versus R-CHOEP for treatment of young patients with high-risk diffuse large B-cell lymphoma: A Danish observational population-based study

PURPOSE

Etoposide to standard R-CHOP is used for high-risk diffuse large B-cell lymphoma (DLBCL) in some countries. Due to the lack of randomized trials, a real-world data study using matching methods was used to test the potential effectiveness of R-CHOEP over R-CHOP.

PATIENTS AND METHODS

This study included patients from the Danish Lymphoma Register diagnosed between 2006 and 2020 at the age of 18-60 years with de novo DLBCL and age-adjusted IPI ≥2. R-CHOEP treated patients were matched 1:1 without replacement to R-CHOP treated patients using a hybrid exact and genetic matching technique. Primary endpoints were progression-free survival (PFS) and overall survival (OS).

RESULTS

In total, 396 patients were included; 213 received R-CHOEP and 183 received R-CHOP. Unadjusted 5-year PFS and OS for R-CHOEP were 69% (95% Confidence intervals [CI]; 63%-76%) and 79% (CI;73%-85%) versus 62% (CI;55%-70%) and 76% (CI;69%-82%) for R-CHOP (log-rank test, PFS p = .25 and OS p = .31). A total of 127 patients treated with R-CHOEP were matched to 127 patients treated with R-CHOP. Matching-adjusted 5-year PFS and OS were 65% (CI; 57%-74%) and 79% (CI; 72%-84%) for R-CHOEP versus 63% (CI; 55%-73%) and 79% (CI;72%-87%) for R-CHOP (log-rank test, PFS p = .90 and OS p = .63).

CONCLUSION

The present study did not confirm superiority of R-CHOEP over R-CHOP for young patients with high-risk DLBCL.

Evaluating the impact of laboratory-based eligibility criteria by race/ethnicity in first-line clinical trials of DLBCL

ABSTRACT

Underrepresentation of racial and ethnic subgroups in cancer clinical trials remains a persistent challenge. Restrictive clinical trial eligibility criteria have been shown to exacerbate this problem. We previously identified that up to 24% of patients treated with standard immunochemotherapy would have been excluded from recent first-line trials in diffuse large B-cell lymphoma (DLBCL) based on 5 laboratory-based criteria. These ineligible patients had worse clinical outcomes and increased deaths related to lymphoma progression, suggesting the potential exclusion of patients who could have benefited most from the novel therapies being evaluated. Using data from the prospectively enrolled Lymphoma Epidemiology Outcomes cohort study, with demographics broadly similar to the US patients diagnosed with lymphoma, we evaluated the impact of laboratory eligibility criteria from recent first-line DLBCL trials across various racial and ethnic backgrounds. There were significant differences in the baseline laboratory values by race/ethnicity with Black/African American (AA) patients having the lowest mean hemoglobin and highest creatinine clearance. Based on recent clinical trial eligibility criteria, AA and Hispanic patients had higher rates of laboratory-based ineligibility than non-Hispanic White patients. The largest gap in the clinical outcomes between eligible and noneligible patients was noted within AA patients with an overall survival hazard ratio based on POLARIX clinical trial criteria of 4.09 (95% confidence interval, 1.83-9.14). A thoughtful approach to the utility of each criterion and cutoffs for eligibility needs to be evaluated in the context of its differential impact across various racial/ethnic groups.

Impact of patient demographics and neighborhood socioeconomic variables on clinical trial participation patterns for NHL

ABSTRACT

Prior studies have demonstrated that certain populations including older patients, racial/ethnic minority groups, and women are underrepresented in clinical trials. We performed a retrospective analysis of patients with non-Hodgkin lymphoma (NHL) seen at MD Anderson Cancer Center (MDACC) to investigate the association between trial participation, race/ethnicity, travel distance, and neighborhood socioeconomic status (nSES). Using patient addresses, we ascertained nSES variables on educational attainment, income, poverty, racial composition, and housing at the census tract (CT) level. We also performed geospatial analysis to determine the geographic distribution of clinical trial participants and distance from patient residence to MDACC. We examined 3146 consecutive adult patients with NHL seen between January 2017 and December 2020. The study cohort was predominantly male and non-Hispanic White (NHW). The most common insurance types were private insurance and Medicare; only 1.1% of patients had Medicaid. There was a high overall participation rate of 30.5%, with 20.9% enrolled in therapeutic trials. In univariate analyses, lower participation rates were associated with lower nSES including higher poverty rates and living in crowded households. Racial composition of CT was not associated with differences in trial participation. In multivariable analysis, trial participation varied significantly by histology, and participation declined nonlinearly with age in the overall, follicular lymphoma, and diffuse large B-cell lymphoma (DLBCL) models. In the DLBCL subset, Hispanic patients had lower odds of participation than White patients (odds ratio, 0.36; 95% confidence interval, 0.21-0.62; P = .001). In our large academic cohort, race, sex, insurance type, and nSES were not associated with trial participation, whereas age and diagnosis were.

Challenges identifying DLBCL patients with poor outcomes to upfront chemoimmunotherapy and its impact on frontline clinical trials

Diffuse large B cell lymphoma (DLBCL) has a variable course of disease among patients as it consists of subgroups that are clinically, biologically and molecularly heterogeneous. In this review, we will discuss how this heterogeneity has likely hindered the ability of traditional prognostic models to identify DLBCL patients at high risk of having poor outcomes with conventional upfront chemoimmunotherapy. We will highlight the challenges and downsides of using these models for risk stratification in clinical trials. Also, we present some of the novel prognosticators that have shown a prognostic value independently or when incorporated into existing prognostic models. Additionally, since the failure of frontline clinical trials to improve outcomes beyond R-CHOP chemoimmunotherapy may be at least partially explained by the restrictive eligibility criteria, risk stratification methods and the selection bias encountered due to the complexed logistics of clinical trials; we will discuss strategies to refine and modernize clinical trial design.

Addressing disparities in cancer clinical trials: a roadmap to more equitable accrual

The Georgia Center for Oncology Research and Education (Georgia CORE) and the Georgia Society of Clinical Oncology (GASCO) held a one-day summit exploring opportunities and evidence-based interventions to address disparities in cancer clinical trials. The purpose of the summit was to identify clear and concise recommendations aimed at decreasing clinical trial accrual disparities in Georgia for rural and minority populations. The summit included expert presentations, panel discussions with leaders from provider organizations throughout Georgia, and breakout sessions to allow participants to critically discuss the information presented. Over 120 participants attended the summit. Recognizing the need for evidence-based interventions to improve clinical trial accrual among rural Georgians and persons of color, summit participants identified four key areas of focus that included: improving clinical trial design, providing navigation for all, enhancing public education and awareness of cancer clinical trials, and identifying potential policy and other opportunities. A comprehensive list of takeaways and action plans was developed in the four key areas of focus with the expectation that implementation of the strategies that emerged from the summit will enhance cancer clinical trial accrual for all Georgians.

Challenges for quality and utilization of real-world data for diffuse large B-cell lymphoma in REALYSA, a LYSA cohort

ABSTRACT

Real-world data (RWD) are essential to complement clinical trial (CT) data, but major challenges remain, such as data quality. REal world dAta in LYmphoma and Survival in Adults (REALYSA) is a prospective noninterventional multicentric cohort started in 2018 that included patients newly diagnosed with lymphoma in France. Herein is a proof-of-concept analysis on patients with first-line diffuse large B-cell lymphoma (DLBCL) to (1) evaluate the capacity of the cohort to provide robust data through a multistep validation process; (2) assess the consistency of the results; and (3) conduct an exploratory transportability assessment of 2 recent phase 3 CTs (POLARIX and SENIOR). The analysis population comprised 645 patients with DLBCL included before 31 March 2021 who received immunochemotherapy and for whom 3589 queries were generated, resulting in high data completeness (<4% missing data). Median age was 66 years, with mostly advanced-stage disease and high international prognostic index (IPI) score. Treatments were mostly rituximab, cyclophosphamide, doxorubicin hydrochloride, vincristine, and prednisone (R-CHOP 75%) and reduced dose R-CHOP (13%). Estimated 1-year event-free survival (EFS) and overall survival rates were 77.9% and 90.0%, respectively (median follow-up, 9.9 months). Regarding transportability, when applying the CT's main inclusion criteria (age, performance status, and IPI), outcomes seemed comparable between patients in REALYSA and standard arms of POLARIX (1-year progression-free survival 79.8% vs 79.8%) and SENIOR (1-year EFS, 64.5% vs 60.0%). With its rigorous data validation process, REALYSA provides high-quality RWD, thus constituting a platform for numerous scientific purposes. The REALYSA study was registered at www.clinicaltrials.gov as #NCT03869619.

Richter transformation-is there light at the end of this tunnel?

Richter transformation (RT) represents an uncommon (2% to 10%) but feared complication of chronic lymphocytic leukemia (CLL). The disease is characterized by rapid disease kinetics, a high-risk genetic mutational profile, chemoimmunotherapy resistance, and consequent poor survival. The typical overall survival (OS) from the pre-Bruton tyrosine kinase (BTK)/B-cell lymphoma 2 (BCL2) inhibitor CLL era is 6-12 months, and recent series of RT complicating progression on a BTK or BCL2 inhibitor in heavily pretreated relapsed CLL patients suggests an OS of only 3-4 months. Despite these sobering survival statistics, novel agents have the potential to impact the natural RT disease course. This article reviews recent therapeutic developments, focusing on inhibitors of BTK, BCL2, the PD1-PDL1 axis, and T-cell-activating/engaging therapies. Herein, I discuss the importance of randomized clinical trials in a disease where small single-arm studies dominate; industry engagement, including the role of registrational studies; and the need to integrate prospectively planned correlative biological studies embedded within future clinical trials to help discover which patient benefits most from each class or combination of novel targets.

Evaluating the impact of eligibility criteria in first-line clinical trials for follicular lymphoma: a MER/LEO cohort analysis

Cancer clinical trial eligibility criteria may create patient populations studied in trials that do not reflect the patient populations treated in the real-world setting. Follicular lymphoma (FL) is an indolent lymphoma with heterogeneous presentations across a broad range of individuals, resulting in many acceptable management strategies. We evaluated how first-line clinical trial eligibility criteria impacted the demographic makeup and outcomes of FL patients for whom systemic therapy might be considered. We compared the characteristics of 196 FL patients from a single institution to eligibility criteria from 10 first-line FL trials on ClinicalTrials.gov. Next, we tabulated eligibility criteria from 24 first-line FL protocols and evaluated their impact on 1198 FL patients with stages II-IV disease from the prospective Molecular Epidemiology Resource (MER) and Lymphoma Epidemiology of Outcomes (LEO) cohort studies. We found that 39.8% and 52.7% of FL patients might be excluded from clinical trials based on eligibility criteria derived from ClinicalTrials.gov and protocol documents, respectively. Patients excluded due to renal function, prior malignancy, and self-reported serious health conditions tended to be older. Expanding stage requirement from III-IV to II-IV and platelet requirement from ≥150 000 to ≥75 000 increased population size by 21% and 8%, respectively, in MER and by 16% and 13%, respectively, in LEO, without impacting patient demographics or outcomes. These data suggest that management of older individuals with FL may not be fully informed by recent clinical trials. Moreover, liberalizing stage and platelet criteria might expand the eligible population and allow for quicker trial accrual without impacting outcomes.

Evolution of eligibility criteria for non-transplant randomized controlled trials in adults with acute myeloid leukemia

Eligibility criteria for clinical trials are intended to select suitable study subjects but can limit trial participation and generalization of results. While reported for other cancers, non-enrollment rates and evolution of eligibility criteria over time have so far not been studied for randomized controlled trials (RCTs) involving adults with acute myeloid leukemia (AML). Among 3698 studies published between 2010 and 2020, including 447 involving prospective clinical trials, we identified 75 phase three RCTs testing non-transplant therapies for adults with AML. Only 31 studies (41%) provided information on non-enrollment; in these studies, the median non-enrollment rate was 23%, primarily attributed to restrictive eligibility criteria. In 95% of trials, eligibility criteria were reported with the total number per trial increasing over time (P < 0.001), particularly in industry-funded trials. A total of 27 eligibility criteria were used across trials, mostly concerning comorbidities or performance status, with eight of them becoming more common over time. The concordance with recent ASCO - Friends of Cancer Research eligibility criteria recommendations greatly varied, from 35% to 99%. Together, our analyses suggest that the ability to generalize results from non-transplant RCTs may be increasingly limited because of high non-enrollment rates and increasingly restrictive eligibility criteria.

Improving eligibility criteria for first-line trials for patients with DLBCL using a US-based Delphi-method survey

Recent first-line randomized controlled trials (RCTs) for patients with diffuse large B-cell lymphoma (DLBCL) have shown negative results, which may be due in part to onerous eligibility criteria limiting enrollment of poor-risk patients who require immediate treatment. We conducted a Delphi-method survey with lymphoma experts in the United States to define recommendations for essential and potentially unnecessary enrollment criteria for modern first-line DLBCL RCTs aimed at increasing clinical diversity of ensuing study groups. We first tabulated enrollment criteria from 19 DLBCL RCTs spanning the rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) era to identify common eligibility criteria from prior DLBCL RCTs for inclusion in the Delphi-method survey. We tabulated 451 total eligibility criteria comprising 51 criterion categories across 19 first-line DLBCL RCTs in the R-CHOP era. We then surveyed lymphoma clinical trial experts representing 8 academic medical centers in the United States regarding essential and unnecessary eligibility criteria for modern DLBCL RCTs. Seventeen of 29 invited clinical investigators completed the round-1 questionnaire (response rate, of 58.6%), 15 of 17 round-1 participants (88.2%) completed the round-2 survey, and all round-1 participants reviewed finalized recommendations for eligibility criteria for modern first-line DLBCL RCTs. We defined consensus recommendations for 31 modernized eligibility criteria including threshold values for 10 quantitative eligibility criteria aimed at facilitating enrollment of a clinically diverse study population in first-line DLBCL RCTs designed to improve standard-of-care therapy.

Robustness and pragmatism of the evidence supporting the European Society for Medical Oncology guidelines for the diagnosis, treatment, and follow-up of follicular lymphoma

Background: Results of randomized clinical trials may not be entirely applicable to clinical practice. The present manuscript aims to explore the pragmatism and robustness of the evidence that supports the European Society for Medical Oncology (ESMO) follicular lymphoma (FL) guidelines.Methods & design: Analysis of all trials used to support positive, therapeutic, oncological recommendations in the 2020 ESMO FL guidelines. Predefined data points were extracted from each trial. Pragmatism was assessed by means of the PRECIS-2 tool, the difference in overall survival in the interventions compared and the source of funding. Robustness was assessed by means of the fragility index and the p value.Results: 28 trials were included. The full protocol or a protocol summary was provided for 12 (43%). Based on the PRECIS-2 domains, trials were considered pragmatic in organization, analysis and flexibility and explanatory in eligibility. Robustness was high, with 4/24 (17%) trials with p values between 0.05 and 0.005 and a median fragility index of 18.Conclusions: Results of trials to support ESMO recommendations in FL were robust. Pragmatism was high in some domains but modest to low in others and the pattern was similar across trials. Transparency in the publication of trial protocols was suboptimal.

Relationship between uric acid and kidney function in adults at risk for tumor lysis syndrome

Uric acid drives acute kidney injury in tumor lysis syndrome (TLS). This study investigated the relationship between uric acid and changes in estimated glomerular filtration rate (eGFR) in adults at risk for TLS. Linear regression was used to evaluate the relationship between uric acid area under the curve (AUC) and percent change in eGFR from baseline at hospital dismissal, 1 and 3 months. In 210 included participants, each 100 mg*hour/dL increase in 24 h AUC was associated with an average decline in eGFR at hospital dismissal of 9% (95%CI 3, 15) in univariate analysis. Each 100 mg*hour/dL increase in 24 h AUC was independently associated with an average decline in eGFR of 8% (95%CI 2, 13) at 1 month after dismissal. Additional research is needed to confirm these findings and determine whether treatments that reduce overall uric acid exposure improve kidney outcomes. Preserving kidney health could favorably impact cancer treatment eligibility, tolerability, and outcomes.