Harris, Zoey I.

Abstract The benefit of rituximab maintenance after first-line (1L) bendamustine-rituximab (BR) in patients with mantle cell lymphoma (MCL) remains uncertain, with inconsistent results from the phase 2 MAINTAIN trial and several retrospective studies. We conducted a large retrospective study at 27 US and Canadian academic centers to examine the benefit of rituximab maintenance after BR. A total of 911 patients received 1L BR between 2010 and 2020, and 703 had an objective response and no evidence of disease progression at the 3-month post-BR landmark. Among those, 394 (56%) received rituximab maintenance and 309 (44%) did not, with largely similar baseline patient and disease characteristics. In the landmark analysis, rituximab maintenance was associated with improved event-free survival (EFS; median, 49.9 vs 29.7 months; P< .001) as well as overall survival (OS; median, 109.5 vs 74.2 months; P< .001). The EFS and OS benefits were observed across most of the subgroups. EFS and OS differences were statistically significant in those who achieved a complete response to 1L BR (n = 590; median EFS, 62.7 vs 31.1 months [P< .001]; median OS, 136.1 vs 75.3 months [P< .001]), but the analysis among those who achieved a partial response to 1L BR was limited by the small sample size. These results provide additional evidence for the survival benefit of rituximab maintenance after BR in MCL and support its use in clinical trial design and routine practice.

Background The vitamin K antagonist, warfarin, is the preferred anticoagulant in patients with antiphospholipid syndrome (APS). Direct oral anticoagulant (DOAC) use in APS is associated with inferior outcomes, including significantly increased odds of arterial thrombotic events, particularly cerebrovascular accidents (CVA). Despite growing evidence supporting warfarin as the preferred first-line agent, DOACs continue to be utilized by providers in the management of APS. The primary aim of this analysis was to scrutinize the patients with a diagnosis of APS and their anticoagulant choices, to identify quality gaps such as unconfirmed diagnosis (with the need for further testing), lack of awareness of the evidence by the prescribing provider or inadequate documentation of risk benefit conversation, versus patient preference and then systematically intervene to reduce the utilization of DOACS in this patient population. Methods We retrospectively reviewed 100 patients with an ICD code diagnosis of APS documented in the electronic health record (EHR) who were recently prescribed a DOAC within Mayo Clinic enterprise. These cases were assessed for appropriateness of the diagnosis (defined as having at least one clinical manifestation of APS, including venous/arterial thrombosis and/or adverse pregnancy outcome in the setting of persistent antiphospholipid antibody (aPL) positivity by Sapporo criteria). aPL positivity was defined as having positive tests on two occasions with a minimum of 12 weeks apart. Antiphospholipid antibody testing included anticardiolipin (aCL) antibodies (IgG and IgM), anti-beta2 glycoprotein I antibodies (IgG and IgM) and lupus anticoagulant (LA). If the patient met diagnostic criteria, they were then risk stratified to identify high-risk cases. High-risk profile was defined as persistently positive levels of all three aPL (triple-positive). Following review for the appropriate diagnosis, intervention gaps were identified, including the need for additional diagnostic testing, provider education, documenting risk-benefits discussion, and removal of APS from the patient's problem list in the EHR. Clinical intervention was done by sending an EHR message to the prescribing provider which included reason for communication, intervention and recommendation. Reminders were sent every 2 weeks to providers who did not respond, with maximum of 3 messages per provider. Results Of the 100 patients, 60/100 (60%) did not meet criteria for APS, as either initial or repeat aPL testing was negative, and therefore were excluded from this project. Within the remaining 40 patients, 17/100 (17%) had thrombotic APS and 23/100 (23%) had unconfirmed diagnosis Reasons for no intervention (20/40) included not meeting criteria for APS, no longer on a DOAC, and risk versus benefits discussion documented. After adjudication only 20 patients qualified for intervention, 10/20 (50%) patients required additional testing due to lack of repeat testing or referral to a specialist, 7/20 (35%) required removal of APS from problem list, and 3/20 (15%) needed provider. Only 12/20 (65%) of providers accepted the recommendation, 7/20 (35%) did not, and 1/20 (5%) did not respond. Conclusions Despite syndrome-defining criteria, APS remains a commonly misdiagnosed condition. Our QI analysis found that more than half of patients in our cohort with HER documented diagnosis of APS did not meet the Sapporo diagnostic criteria. The tested intervention was time-intensive and prospective, which may have contributed to limited provider acceptance. We propose a robust system-based intervention to remedy this quality issue, which will leverage the EHR to create smart tools in the form of order sets and a passive Our Best Practice Advisory alert to highlight incomplete testing or suggest follow up lab testing at 12 weeks. We will also integrate just in time provider education resources and material embedded in the orders. Our future goal is to assess the impact of this intervention with a similarly sampled cohort.

Introduction Clonal hematopoiesis (CH) in solid organ transplant (SOT) recipients can lead to impaired tolerance to immunosuppressive therapy, increased risk for complications, and potentially compromise graft and patient outcomes. The impact of mutational profile in CH on risk for hematological transformation and patient/graft outcomes for kidney transplant (KT) recipients is largely unknown. Our aim was to assess the prevalence of CH and progression of CH in KT, evaluate the impact of CH on allograft function, assess patient outcomes and determine Clonal Hematopoietic Risk Score status. Methods We retrospectively reviewed the CH profile of patients 18+ years of age who received a kidney transplant at Mayo Clinic Enterprise between 01/01/1994-12-31/2022 and underwent bone marrow biopsy with aspirate pre- and/or post-transplant. Bone marrow biopsies were primarily performed post-transplant in the workup for cytopenias. Transplant database was used to collect our variables of interest including post-transplant malignancy and outcomes. CH was ascertained through next-generation sequencing (NGS) on bone marrow samples. A 47-gene panel was utilized in our study. CH was defined by presence of somatic mutation with a variant allele frequency of > 2.0%. CH in absence of cytopenias was classified as CHIP while CH in individuals with one or more cytopenias was classified as clonal cytopenias of undetermined significant (CCUS). The Clonal Hematopoiesis Risk Score (CHRS) was utilized for CHIP and CCUS risk stratification We excluded the patients who had a prior hematologic malignancy. Results 305 kidney transplant recipients met our study criteria. The median time to follow up, defined as time from transplant until first bone marrow biopsy with evidence of CH, was 46.1 months. The frequency of CH in kidney recipients was 27/305 (9.0%), of these 14/27 (52%) patients were found to have CCUS and 10/27 (37%) were found to have evidence of post-transplant myeloid malignancy. Of these cases, 5/10 (50%) developed acute myeloid leukemia while 5/10 (50%) developed myelodysplastic syndrome. Both CCUS and myeloid neoplasms were more common in female patients, accounting for 8/14 (57%) and 7/13 (54%) of each cohort, respectively. Amongst CCUS, the most frequent mutations were seen in ASXL1, DNMT3A and TET2. More than half of patients with CH, 14/27 (52%), exhibited mutations in 2 or more genes. Meanwhile, in cases of myeloid malignancy, the commonly mutated genes were ASXL1 and TP53, seen in 3/10 and 3/10 cases, respectively. The CCUS risk status was intermediate, with median score of 11.8 (range 9.5-14). One CCUS patient transformed to myelodysplastic syndrome. The time to progression from CCUS to myelodysplastic syndrome was 14.3 months and their respective CHRS status was determined to be high-risk. Infectious complications, including viral and opportunistic infections, were seen in 12/27 (44%) recipients with CH, with CMV viremia being the most common, followed by BK viremia. In this cohort, post-transplant cardiovascular events and venous thromboembolic events occurred in 2/27 (7.0%) and 7/27 (26%) patients, respectively. Allograft failure was seen in 17/27 (63%) recipients at a median of 93.4 months post-transplant. After a median of 122 months, there were 14/27 (52%) deaths at a median duration of 93.4 months post-transplant. Causes of mortality included myeloid malignancy, infection, cardiovascular complications, end-stage renal disease or were unknown. Conclusions Renal transplant recipients carry mutations in epigenetic regulators resulting in adverse outcomes. Similar to the general population, DNMT3A, TET2 and ASXL1 mutations were the most common mutations in post-transplant CCUS. Infections, cardiovascular events, and allograft failure were frequent. Prospective studies in a larger cohort are needed to evaluate the impact of CCUS in survival and myeloid malignancy transformation risk.

Background: Bendamustine and rituximab (BR) is a standard-of-care first-line (1L) therapy for older or unfit patients with mantle cell lymphoma (MCL). The SHINE trial compared BR with rituximab maintenance plus ibrutinib vs placebo in patients ≥65 years old and showed that the ibrutinib arm had significantly improved progression-free survival (PFS; median 80.6 vs 52.9 months) but similar overall survival (OS; 57% vs 55% at 7 years) compared to the placebo arm. Whether sequential treatment with BR in 1L and a Bruton's tyrosine kinase inhibitor (BTKi) in second-line (2L) can result in a similar cumulative PFS compared to 1L BR plus BTKi combination therapy is unknown. To provide insight to this question, we modeled observational data to evaluate MCL outcomes after 1L BR and 2L BTKi therapy in the BTKi era. Methods: Patients with MCL who received 1L BR with or without rituximab maintenance in 2014-2020 at one of the 27 participating centers were included. Exclusion criteria included participation in the SHINE or ECHO trials, any additional 1L therapy other than BR (with or without rituximab maintenance), and stem cell transplant consolidation after 1L BR. Baseline characteristics, treatment, and follow-up data were abstracted by chart review. Event-free survival (EFS) was defined as time from index line treatment start to the first event (progression, relapse, retreatment, or death). OS was defined as time from index line treatment start to death. Using an intention-to-treat (ITT) framework, EFS2 was defined as time from 1L BR start to progression, relapse, or retreatment following 2L BTKi treatment or death. Patients who received a non-BTKi treatment at 2L were censored for EFS2 at 2L treatment start; living patients without an event following 1L BR or 2L BTKi were censored for EFS2 at last follow-up. Results: A total of 618 patients with MCL who received 1L BR in 2014-2020 were included. The median age was 71 (IQR 65-76) years, and 447 (72%) were male. 59 (11%) patients had an ECOG PS ≥2, 566 (93%) had stage III-IV disease, and simplified MIPI was low in 105 (21%), intermediate in 200 (39%), and high in 202 (40%) patients. The median follow-up following 1L BR start was 57.4 (95% CI 53.8-63.2) months. Response data were available in 580 patients, and the best ORR was 92% (79% complete response [CR] and 13% partial response [PR]). 258 (42%) patients received rituximab maintenance. As of last follow-up, 255 patients were alive and in remission after 1L BR, 92 patients died without 2L therapy, and 271 patients received a 2L therapy. The median EFS was 34.1 (95% CI 31.0-40.0) months. The median OS was 97.8 (95% CI 81.2-NA) months, the 5-year OS rate was 58.6% (95% CI 54.4-63.2), and the 7-year OS rate was 56.7% (95% CI 52.4-61.5) (Fig 1). Among the 271 patients who started a 2L treatment, 203 (75%) received a BTKi at 2L - 101 (50%) ibrutinib, 76 (37%) acalabrutinib, and 26 (13%) zanubrutinib. The median follow-up following 2L BTKi start was 38.5 (95% CI 31.3-45.1) months. Response data were available in 171 patients, and the best ORR was 64% (36% CR, 28% PR). The median EFS was 10.7 (95% CI 7.7-14.0) months, and the median OS was 24.8 (95% CI 17.3-33.1) months with 2L BTKi therapy (Fig 2). By ITT analysis, the median EFS2 following 1L BR and 2L BTKi was 72.1 (95% CI 56.7-97.8) months (Fig 1). A subset analysis of patients aged ≥65 years (n=471; 198 [42%] received rituximab maintenance) showed similar results. The median EFS with 1L BR was 32.7 (95% CI 29.1-36.3) months. The median OS was 81.5 (95% CI 65.0-NA) months, and the 7-year OS rate was 53.3% (95% CI 48.3-58.7). 208 patients received a 2L therapy, 163 (79%) with a BTKi. The median EFS was 11.5 (95% CI 7.6-15.8) months, and the median OS was 21.0 (95% CI 14.0-29.6) months with 2L BTKi therapy. By ITT analysis, the median EFS2 following 1L BR and 2L BTKi was 58.0 (95% CI 50.2-77.0) months. Conclusion: In this multicenter retrospective study, initiation of 1L BR (with or without rituximab maintenance) resulted in a 7-year OS of 57%. Median EFS2 for sequential 1L BR and 2L BTKi was 72.1 months. In context, the SHINE study reported a median PFS of 80.6 months in the BR (with rituximab maintenance) plus ibrutinib arm and a 7-year OS of 57% in the ibrutinib arm and 55% in the placebo arm, where 39% of patients received a BTKi in 2L. Within the constraints of observational data, our results provide support for sequential use of BR in 1L and BTKi in 2L for patients with MCL.