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Background: The global obesity epidemic has been well characterized over decades of research, linking increased body mass index (BMI) ≥ 25 to multiple medical conditions including increased cancer risk, morbidity, and mortality. The International Agency for Research on Cancer (IARC) group found a positive correlation between obesity to 13 cancers and multiple studies suggest leukemia should be added to this list. The causation behind this risk in leukemia however is not well understood and the prognostic factors have not been well characterized. Acute Myeloid Leukemia (AML) specifically defines risk based on cytogenetics between favorable, intermediate and unfavorable which significantly affects treatment decisions. The link between obesity and cytogenic risk factors in AML have not previously been thoroughly evaluated. To address this knowledge gap, we conducted a comprehensive meta-analysis aiming to evaluate the cytogenetic risk with obesity and prognostic significance in patients with AML. Methods: A systematic search was conducted across major databases until June 2023, using tailored search structures, subject headings, and keywords developed in collaboration with a medical research librarian. Two investigators independently screened the studies for inclusion. The inclusion criteria encompassed retrospective and prospective clinical studies that reported on the association between established cytogenetic classifications and standardized measures of excessive weight (BMI 25-30) and obesity (BMI ≥ 30). Meta-analysis was conducted using restricted maximum likelihood random-effects model. Results: From an initial pool of 1673 identified studies, eleven studies met the inclusion criteria, encompassing a total of 5887 patients. Among these patients, 1363 met the criteria for obesity (BMI ≥ 30) and 2176 met the criteria for excessive weight (BMI 25-30). The median patient's age was 54 (ranging from 15 to 89). The included studies originated from diverse geographic regions, including the USA, Japan, and France. Baseline patient characteristics are summarized in Table 1. Compared to overweight patients, our meta-analysis revealed a significant association between obesity and higher odds of unfavorable/intermediate cytogenetic risk (odds ratio [OR] 1.27, 95% CI [1.04; 1.54]), as seen in Figure 1. However, no meaningful statistical inference could be made regarding the association between obesity and specific gene mutations (such as FLT3, NPM1, CEBPa, TET2, IDH1, IDH2, RUNX1, and KRAS) due to the limited number of studies and small number of patients involved. Conclusion: Our meta-analysis demonstrates a significant association between obesity and unfavorable/ intermediate cytogenetic risk in patients with AML. Although the precise biological mechanisms remain elusive, several potential explanations have been proposed. These include the impact of obesity leading to chronic low-grade inflammation, altered adipokine secretion and insulin resistance, and metabolic changes on leukemic cell growth and survival. Despite the limitations of unknown cytogenetic risk in 590 patients and limited mutation data in some studies, our findings suggest that obesity may impact the prognosis of AML. Future research should address these limitations and provide a more comprehensive understanding of the intricate interplay between obesity, cytogenetics, and AML prognosis.

Background: The use of CAR-T cell therapy has transformed treatment paradigms in B-cell malignancies. Ciltacabtagene autoleucel (cilta-cel) was approved for use in RRMM after four or more prior lines of therapy in 2022. While the pivotal studies exclusively treated patients in an inpatient setting, robust infrastructure planning at some centers across US has fostered outpatient administration of the commercially available product. Outpatient administration of CAR-T is more desirable due to superior financial sustainability, lower healthcare resource utilization, and greater patient autonomy during the treatment. Hence, we conducted a qualitative study to evaluate clinical and administrative perspectives and trends in outpatient administration of commercialized cilta-cel with an aim to understand best practices from certified CAR-T centers in the USA. Methods: A targeted literature review was conducted to better understand current practices around outpatient administration of CAR-T, and inform the development of primary research materials for designing subsequent interviews. Next, two 60-minute exploratory interviews were conducted with multi-stakeholder participants (n=5) from two certified cilta-cel centers, each with significant volume of outpatient administration of cilta-cel. Following the qualitative analysis of interviews, two 90-minute panels were conducted with multi-stakeholder participants (n=14) from six certified cilta-cel centers, including centers from exploratory interviews, focusing on clinical and administrative topics across the patient journey. Results: Each center in the study treated approximately 15-30 patients with cilta-cel in the outpatient setting. Using Likert scales, participants from all centers ranked space/capacity as the most important factor in decision-making process for outpatient cilta-cel administration, and ranked reimbursement incentives as a highly (67% of participants) or a moderately (33%) important factor. All participants agreed that having a dedicated outpatient infrastructure (dedicated space such as bed availability and internal processes including standard operating procedures (SOPs)), 24/7 support, outpatient bone marrow transplant (BMT) or cell therapy experience, and robust multidisciplinary teams were key to setting-up successful outpatient centers for cilta-cel therapy. The participants agreed that cilta-cel can be administered safely in an outpatient setting due to generally predictable, delayed onset of potential AEs, except in patients with significant comorbidities or organ dysfunction. Participants also considered caregiver support and lodging availability as factors of importance for outpatient administration. Institutionally established AE monitoring protocols are critical for safe use of cilta-cel in an outpatient setting. Over 50% of the centers interviewed have recently started to administer tocilizumab to treat mild grade 1 cytokine release syndrome (CRS) in an outpatient setting. Based on the findings across the phases of research, the patient journey for outpatient administration of cilta-cel was updated (Figure 1). While patients may be admitted for toxicity events, 100% of centers interviewed had 24-hour coverage and bed availability for these patients if needed. Conclusions: Overall, this study further supports the notion that centers can safely administer cilta-cel in an outpatient setting, if appropriate infrastructure is in place. Additional best practices for new outpatient sites include adequate infrastructure, SOPs, a well-trained and multidisciplinary team, and education of patients and caregivers (Table 1). Outpatient management and earlier intervention for low-grade AEs is currently evolving, with more real-world research required. Continued expert sharing of best practices can aid centers in implementing outpatient administration of CAR-T therapies. Funding: This analysis was supported by Janssen Research & Development, LLC and Legend Biotech USA, Inc

Despite notable advancements in treating chronic lymphocytic leukemia (CLL) with targeted therapies, a significant clinical challenge arises as a subset of CLL patients progress and develop Richter's transformation (RT), an aggressive form of lymphoma. While immune cell dysfunction and T cell defects are well-known characteristics of CLL, the alterations in immune cell subsets during CLL progression to RT remain largely unexplored. While CLL patients typically fail to respond to anti-PD1 pembrolizumab, a positive response has been observed in 20-40% of RT patients. Previously, our study involving three RT patients (1 responder and 2 progressors) revealed enriched regulatory T cells (Tregs) in the responders compared to progressors after pembrolizumab treatment (Iyer et al, ASH2020). Hence, we propose that dynamic changes in T cell subsets at baseline may be associated with response to pembrolizumab treatment. To this end, we performed single-cell RNA sequencing on sorted T cells (CD3 +) from PBMCs derived from 20 patients (responders (RES), n=5; stable disease (SD), n=5; progressive disease/progressors (PD), n=10). A total of 408,627 cells were captured, and an average of 1,393 genes were detected per cell per patient. Using a graph-based clustering approach (Seurat V4.3), we identified 19 clusters based on marker genes and transcriptional signatures and identified enriched pathways using Enrichr analysis. Our results showed that RES had an increased Th17 subset at baseline compared to PD (15% vs. 5%, p=0.01) and reduced Th2 T cells compared to SD (p=0.004) and PD (p=0.05). The Th17/Th2 ratio was higher in RES at baseline (Th17/Th2 R: 1.24, PD: 0.21, SD: 0.25, p0.05) and post-pembrolizumab (Th17/Th2 RES: 1.31, PD: 0.34, SD: 0.30, p0.05). Furthermore, RES had an increased fraction of proliferating CD4 T cells at baseline (4% RES vs. 0.4% SD and 0.4% PD, p=0.02) and post-treatment (1.9% RES vs. 0.8% PD and 0.34% SD, p=0.02). Although we observed an increasing trend in the fraction of Tregs in the RES at baseline [(7.6% RES vs.6.1% PD and 6.5% SD, p=0.4; ns) and post-treatment (10.3% RES vs. 8.3% PD and 5.8% SD, p= 0.2; ns] compared to PD and SD, the difference was not significant. Similarly, among CD8+ T cells, we observed an increasing trend in CD8+ effector T cell fraction in the responders at baseline (29.8% RES vs. 21% PD and 15.6% SD, p=0.9, ns) and post-treatment (30.1% RES vs. 21.2% PD and 19.9% SD, p=0.44, ns). However, the difference was not statistically significant. These findings highlight the dynamic changes in T cell subsets associated with pembrolizumab response. In terms of transcriptional changes in Tregs following pembrolizumab treatment among RES, PD, and SD, we observed dynamic changes on a few Treg marker genes, including TIGIT and TOX. TIGIT and TOX expression drastically decreased after treatment in RES (p < 0.0001), while expression did not change in PD and SD. There were no significant changes in the expression of FOXP3 or CD27 in RES, PD, and SD before and after the treatment. In CD8 effector T cells, GZMK, GZMA (granzymes), and PRF1 (perforin) are marker genes. We observed higher expression of GZMK and GZMA in RES (p <0.0001) at the baseline compared to SD and PD. In the proliferating CD4 T cells, we observed increased expression of IDH2 (Isocitrate dehydrogenase 2-key enzyme of TCA cycle) in RES at the baseline, as compared to PD and SD, indicating increased TCA cycle activity in the proliferating T cells. Pathway analysis of T cell clusters using the Enrichr database showed TNFA-IFNG-MYC targets are enriched in CD8 + cells, IL2-STAT5 signaling is upregulated in Th17, TREGs, and E2F cell cycle associated pathways enriched in CD4 + proliferation cluster. In conclusion, our study unveils significant baseline differences in CD4 subsets between RES and PD/SD subjects and dynamic changes in T cell subsets and transcriptional signatures. These findings offer potential predictors of pembrolizumab response in RT, such as increased Th17/Th2 ratio, enriched proliferating CD4 + T cells, and elevated TIGIT, TOX gene expression in Tregs, GZMK, and GZMA in CD8 effector cells. This deeper understanding of the immunological landscape in RT patients sheds light on the interplay between T cell subsets and treatment response in RT, paving the way for personalized therapeutic strategies. Further validation and exploration can lead to improved outcomes and tailored interventions for RT.

Introduction: Use of validated risk stratification tools for work up of suspected pulmonary embolism (PE) is an endorsed recommendation of the American Society of Hematology and the American College of Emergency Physicians. Due to variations in clinical practice, electronic health record (EHR) systems, and medical provider trainings, the use, documentation, and implementation of these tools vary widely. Current processes do not allow for electronic capture and quality reporting at most institutions. Methods: We sought to design and implement clinical pre-test probability (PTP) tools at three large healthcare institutions for use in emergency departments (ED). At each site, a hematologist partnered with ED physician leadership and local information technology experts to design and implement PTP tools in clinical workflows. Overall, 38 EDs (high volume tertiary EDs and smaller regional EDs) located in the United States along the East Coast and Midwest regions were involved. A major goal of implementation was integration into clinical workflow and automatic documentation. After design and implementation, awareness and education of the new EHR tool was distributed electronically to ED providers. After implementation, use of PTP tools was analyzed between September 12, 2022 and January 11, 2023. PTP use was examined as percent of visits for which patients underwent CT pulmonary angiography (CTPA). Results: Each institution chose the 3 tier Wells' Score for implementation while one site designed an integrated Wells'/PERC or YEARS score calculator. Two sites implemented the tool as an optional flowsheet and one site implemented the tool as mandatory parameters within the orders for PE imaging studies. The mandatory tool could be bypassed with prespecified selections or if a D-dimer existed within 48 hours . Complete details of the site-specific implementation are shown in Table 1. Over the 4-month evaluation timeframe, there was a total of 270,214 ED encounters. Uptake and utilization of the PTP tools are shown in Table 2. Use of PTP was highest at the site with forced PTP documentation which ranged from 49-53% of ordered CTPAs, compared to Site 2 where use was 2-3%, and Site 1 where use ranged from 1-3%. At Site 1, use of PTP increased slightly over the study period with signs that PE yield on imaging was increasing as well (3.4% to 5.9%). At Site 2, PE yield on imaging was overall high (9-10%), and remained similar with similar use of PTP tools over the study period. Use of PTP and PE yield (6-8%) on imaging also remained similar throughout the study at Site 3. Conclusion: Forced use of PTP within the orders for CTPA led to the highest use of PTP (Site 3) but this did not result in meaningfully higher PE yield on CTPA compared to the other sites. PE yield at each site was at or above the 5% yield for PE on CTPA which has been previously reported. Given that PTP uptake was relatively stable over the measurement period at Site 2 and 3, this indicates the process had mostly stabilized and that other strategies are needed to improve uptake of PTP, reduce utilization of CTPA, and further increase yield on CTPA. Increasing PTP use and rising PE yield at Site 1 demonstrated ongoing potential for improvements past this study timeframe.

Introduction: Patients with liver injury have hemostatic defects including reduced ADAMTS13 (A disintegrin and metalloproteinase with thrombospondin type 1 motif, member 13). Severe deficiency of ADAMTS13 (ADMS13) activity (< 10%) is pathognomonic for thrombotic thrombocytopenic purpura (TTP), a rare thrombotic microangiopathy (TMA). Differentiating TTP from severe liver injury is complex for multiple reasons including 1) low baseline ADMS13 2) concomitant coagulopathies complicating differentiation from disseminated intravascular coagulation (DIC) 3) ADMS13 activity (ADMS13:AC) assay interference (hyperbilirubinemia (>30mg/dL) can cause artifactual reduction of ADMS13:AC). Here we sought to characterize the clinical presentation, management, and outcomes of patients with liver injury presenting with thrombocytopenia (TCP), microangiopathic hemolytic anemia (MAHA) and low ADMS13:AC at our institution. Methods: In this retrospective study, after IRB approval, electronic medical records (EMR) of institutional patients who had ADMS13:AC and inhibitor profile performed in our special coagulation laboratory between 2018 and July 17, 2023, were reviewed. Eligible patients had ADMS13:AC ≤20% were ≥ 18 years and had evidence of liver injury at time of ADMS13. Liver injury was defined as ALT or AST elevations greater than two times the upper level of normal within one month prior to ADMS13:AC testing, history of end stage liver disease or cirrhosis, or liver transplant with evidence of graft dysfunction. Details regarding clinical presentation, management and outcomes were extracted from the EMR. PLASMIC and ISTH DIC scores were retrospectively calculated. Results: 70 patients had at least one ADMS13:AC < 20% during the study period. 28/70 patients met liver injury inclusion criteria and 20/28 had TCP and MAHA. Of those 20 patients, median age at initial ADMS13:AC was 56.5 years (29-85). Most patients (n=14) had ADMS13:AC of 10-20%. ADMS13:AC was < 5% and 5-10% in 3 patients each. Eleven patients had a positive inhibitor with a median Bethesda titer of 1.85 BU (0.5-3.9). Etiology of liver included: ischemic hepatopathy (n=8), liver graft failure (n=4), liver metastasis (n=3), cirrhosis (n=2), alcoholic hepatitis (n=1), unknown (n=2). Median hemoglobin and platelet (plt) count at time of ADMS13 was 7 g/dL (6.4-13.2) and 30 x10 9/L (3-98), respectively. 7/20 patients had a PLASMIC score of ≥5; PLASMIC score was ≥5, in 2/6 patients with ADMS13:AC <10%. 16/18 patients had an ISTH DIC score ≥5. 18/20 patients had a creatinine > 2 mg/dL or were receiving renal replacement therapy the time of ADMS13: AC. 7/20 patients had total or direct bilirubin of >30mg/dL. Eight/20 patients were treated with plasma exchange (PEX) for a median duration of 7 days (2-13). 66.7% of pts with ADMS13:AC <10% received PEX. Glucocorticoids and Rituximab were used with the intent to treat TTP in 7 and 3 patients, respectively. Caplacizumab was used in 2 patients. 3/8 (37.5%) patients receiving PEX demonstrated normalization of MAHA. One of these patients demonstrated improvement but not normalization of plts (Table 1B, case 5). All patients had recurrence of hematologic abnormalities after PEX was stopped. One patient was treated with plasma infusion with stabilization in plt count. There were 13 and 15 deaths within 1 and 6 months of first ADMTS13:AC, respectively. One death was potentially attributable to management of TTP (Table 1B, case 1). There was no difference in time to death or mortality with the use of PEX. Repeat ADMS13:AC remote from PEX, TCP and MAHA was available for 1/5 surviving patients. This patient (Table1, case 2) had normalization of ADMS:AC after undergoing liver transplant. Conclusion: The differential diagnosis of TCP and MAHA in patients with liver injury includes hepatic dysfunction, DIC and TMA. In the current cohort, 89% of evaluable patients met criteria for overt DIC per ISTH criteria. Due to a low ADMTS13:AC, 40% of patients underwent a trial of PEX with 37.5% demonstrating improvement in MAHA that was not sustained upon discontinuation of PEX due to persistent liver dysfunction. Six-month mortality was 75% and use of PEX did not affect mortality. Given the high mortality, further studies evaluating which patients with TMA and liver injury are more likely to benefit from therapies typically used to treat TTP are necessary.

Background: The 2022 European LeukemiaNet (ELN) genetic-risk stratification for acute myeloid leukemia (AML), assigns favorable prognosis to t(8;21)(q22;q22.1)/ RUNX1:: RUNX1T1, inv(16)(p13.1q22) or t(16;16)(p13.1;q22)/ CBFB:: MYH1, NPM1 mutations without FLT3-ITD or adverse karyotype, and bZIP in-frame CEBPA mutations (Döhner , Blood, 2022 ). This risk stratification was derived from intensively treated patients; accordingly, prognostication in ELN favorable genetic risk AML, following venetoclax and hypomethylating agent (VEN-HMA) therapy, remains unclear and was the subject of the current study. Methods: Under an institutional review board approved minimum risk protocol, the Mayo Clinic database was searched to identify AML patients with favorable genetic risk, who received treatment with VEN-HMA in the frontline setting. All patients received at least one cycle of either azacitidine 75 mg/m 2 days 1-7 or decitabine 20 mg/m 2 days 1-5 with VEN dose adjusted based on azole antifungal prophylaxis. Genetic risk stratification and treatment response were assessed according to the 2022 ELN criteria. Survival was estimated from the time of VEN-HMA treatment start to last follow-up or death. Results: Patient characteristics A total of 46 newly-diagnosed AML patients with ELN 2022 favorable genetic risk [ NPM1 mutation, n=36 (78%), CEPBA bZIP mutation, n=7 (15%) and t(8;21)(q22;q22.1)/ inv(16)(p13.1q22), n=4 (9%)] received a median of 4 cycles (range 1-32) of VEN-HMA. Median age was 71 years, with 63% males, and 87% de novo AML. Additional mutations frequently involved TET2 in 17/43 (40%), DNMT3A in 14/45 (31%), SRSF2 in 10/43 (23%), K/NRAS in 10/45 (22%), IDH1 in 8/46 (17%), FLT3-TKD in 7/46 (15%), ASXL1 in 6/43 (14%) and IDH2 in 6/46 (13%),of informative cases.Myelodysplasia (MDS)-related gene mutations ( ASXL1, RUNX1, BCOR, EZH2, SRSF2, U2AF1, SF3B1, STAG2, and/or ZRSR2) were present in 15 of 40 (38%) of patients (93% males). Predictors of response Of the 39 (85%) patients that achieved complete remission, with (CR) ( n=24; 52%), or without count recovery (CRi) ( n=15; 33%); CR/CRi rates were not significantly higher in patients with NPM1 mutations (89%), t(8;21)(q22;q22.1)/ inv(16)(p13.1q22) (75%), or CEPBA bZIP mutations (67%) ( p=0.37). Among patients achieving CR/CRi, measurable residual disease by multiparametric flow cytometry was negative in 15 of 16 (94%) of evaluable cases after cycles 1 or 2. In addition, NPM1 qPCR was negative in 15 of 24 (63%) informative patients. Median time to response was 1.2 months with median response duration of 9.4 months. CR/CRi rates were significantly higher in females vs males (100% vs 76%, p=0.01), and in the absence vs presence of MDS-related gene mutations (96% vs 60%, p=0.004). Multivariable analysis confirmed superior response in the absence of MDS-related gene mutations ( p=0.04). Predictors of survival At a median follow-up of 10.6 months (range; 1.1-51 months), 21 patients (46%) have died, 9 relapsed (23% of those achieving CR/CRi), and 6 (13%) underwent allogeneic hematopoietic stem cell transplant. Median overall survival was 21 months with 1/2/3-year survival rates of 65%/41%/41% (Figure 1a); median relapse-free survival (RFS) was not reached; 1/2/3-year RFS rates were 81%/66%/57% (Figure 1b). Overall survival was superior in patients achieving CR/CRi (23 months vs 5.6 months; p<0.01), in females vs males (not reached vs 9.7 months; p<0.01), and in the absence of MDS-related gene mutations (not reached vs 5.6 months; p=0.01) (Figure 1c). Subsequent multivariable analysis identified female gender ( p=0.01), and absence of MDS-related mutations ( p=0.17) as independent predictors of superior survival. Similar results were obtained when analysis was restricted to NPM1 mutated patients. Conclusions: In the current retrospective study, VEN-HMA therapy in elderly/unfit AML patients with ELN 2022 favorable genetic risk, resulted in response rates that were comparable to those previously appreciated from published reports of patients receiving intensive induction therapy; however, follow-up in the current study was too short to accurately assess long-term overall and relapse-free survival impact. Our study also highlights the adverse prognosis retained by MDS-related gene mutations.

Introduction: Acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) are the most aggressive group of hematologic malignancies (Pulte et al, 2020) and will be responsible for approximately 12,700 deaths in the U.S. during 2023(Seiger et al,2023). Improved overall survival (OS) has been observed in the past decades in both diseases, but high mortality in the Intensive Care Unit (ICU) persists, which may prevent ICU admission of those patients. We aimed to review the literature on mortality data and survival predictors of patients with acute leukemia (AL) admitted to the ICU. Methods: Embase, Pubmed and Cochrane databases were searched for articles published from January of 2005 to December of 2020. Due to OS improvement of patients with AML, we only included studies published as of 2005 (Percival et al, 2015). Editorials, case reports and small case series were excluded. Results: Initial search revealed 1,015 manuscripts from database and references, 650 were screened and 115 were fully assessed, for which 24 met eligibility criteria (Figure 1). A total of 13,350 patients were included in the review. Median age was 54.8 years and 57.3% of patients were male. AML represented the majority of diagnoses (98.2%).Two studies included only newly diagnosed patients, 1 study only included patients with relapsed disease and the rest (N=21) included subjects regardless of the AL status. Only 0.7% of patients had a history of hematopoietic stem cell transplantation . 81.9% of patients required mechanical ventilation, 25.3% needed renal replacement therapy, and 65.9% used vasopressors in studies data was available. Median SOFA score in the first 24h of ICU admission was 10.85 . Pooled ICU mortality and hospital mortality were 45.0% and 43.1%, respectively; 58.2% of patients were deceased at 90-day mark (Table 1). The 12 months OS was 37.3%. Higher SOFA score, need for mechanical ventilation, sepsis, vasopressor use, and age greater than 60 years were the most common predictors of ICU, hospital and 90-day mortality. Relapsed or refractory status of underlying AL was the most significant risk factor for long-term mortality. Conclusions: Our systemic review showed that ICU mortality in patients with AL was 45.0%, which represents a survival improvement compared to prior studies on patients with hematological malignancies, where ICU mortality could be as high as 69% (Ashkenazi et al, 1986). Predictors of ICU mortality were closely related to the severity of acute illness rather than malignancy status. We acknowledge that our patient population was mostly comprised of AML cases and the majority of the original studies included a small number of patients with AL with exception of one large study (Halpern et al, 2017).

Background: Minimal residual disease (MRD) is an established, prognostic indicator for patients with acute lymphoblastic leukemia (ALL), including Philadelphia chromosome-positive (Ph+) ALL. The objective of this study was to evaluate the association between MRD and long-term outcomes (event-free survival [EFS] and overall survival [OS]) in adult patients with Ph+ ALL receiving first-line therapy. Methods: A systematic literature review (SLR) was performed to identify eligible studies, including interventional and observational studies reporting survival outcomes by MRD status in adults ≥18 years of age with Ph+ ALL receiving first-line therapy. Key outcomes and data elements of interest were EFS, OS, and MRD or MRD-negative complete remission (CR) at end of induction (EOI). Aggregate study-level and individual patient data (IPD) meta-analyses were conducted. The IPD approach included a log-level MRD analysis to evaluate the concordance of deepening levels of molecular response with long-term EFS or OS in patients with CR and an analysis evaluating the utility of MRD-negative CR over CR alone. The analyses were conducted using frequentist and Bayesian approaches with fixed-effects and random-effects models. Kaplan-Meier method with log-rank tests was used for survival analysis. Where applicable, Cox regression method with and without adjustment for prognostic factors were applied. Results: The SLR identified 19 publications (18 unique studies), 10 (9 unique studies) of which had sufficient MRD and EFS/OS data. Nine studies (n=704) were included in the aggregate study-level analysis; 3 of the 9 studies (Phase II AP24534-11-001 [Jabbour et al. 2015], Phase II GIMEMAINCB 84344-201 [Martinelli et al. 2017], and Phase III GRAAPH-2005 RCT [Chalandon et al. 2015]) had IPD available. MRD was assessed by polymerase chain reaction in all 9 studies. Findings from the aggregate study-level meta-analysis demonstrated a significant long-term survival benefit (EFS and OS) in favor of patients with MRD-negative CR. This significant benefit was generally consistent across analysis types (base-case or sensitivity analyses), analytic models (fixed- or random-effects), and approaches (frequentist or Bayesian). Evidence from the IPD analysis, based on patients with CR, was mostly consistent with the aggregate study-level meta-analysis, supporting MRD-negative CR at the EOI as being predictive of EFS or OS. Log-level MRD analysis showed that patients who are in CR with deeper molecular response ( BCR::ABL1/ABL1 ≤0.01%) at EOI have significantly better long-term EFS and OS compared with patients with other levels of MRD (ie, BCR::ABL1/ABL1 >0.01%). This significant long-term survival benefit was also demonstrated in patients with MRD-negative CR ( BCR::ABL1/ABL1 ≤0.01%) at EOI compared with patients who were MRD-positive ( BCR::ABL1/ABL1 >0.01%) ( Table 1) or based on achievement of CR alone (regardless of BCR::ABL1/ABL1 values). Results from the IPD analysis standardized for outcome definition, with and without adjustment for prognostic factors (age, gender, white blood cell count at baseline, and stem cell transplant), were consistent with the findings from the log-level MRD analysis. The analysis showed a significant association between MRD-negative/MRD-negative CR status (ie, BCR::ABL1/ABL1 ≤0.01% threshold) at EOI with improved long-term EFS and OS. The results were significant for EFS in both the adjusted and unadjusted models. The OS results were significant only in the unadjusted model. Conclusions: These analyses indicate that a deeper molecular response at EOI results in better long-term EFS and OS; MRD-negative CR has a greater prognostic value than CR and is strongly associated with long-term EFS and OS in patients with Ph+ ALL. Acknowledgement: The authors acknowledge APHP, who provided the individualized patients data for the GRAAPH study.

Cellular Immunotherapies: Late Phase and Commercially Available Therapies The Impact of Inotuzumab Ozogamicin (InO) Treatment on Brexucabtagene Autoleucel (Brexu-cel) Outcomes in Adults with Relapsed/Refractory B-cell Acute Lymphoblastic Leukemia (B-ALL) Introduction: Brexu-cel is the first approved CD19-directed chimeric antigen receptor (CAR) T-cell therapy for adult patients (pts) with relapsed/refractory (r/r) B-ALL. InO, an anti-CD22 antibody drug conjugate, is also approved for the same indication. With the accessibility to several targeted therapies in r/r B-ALL, the optimal sequence remains uncertain. The effect of prior treatment with InO on brexu-cel outcomes remains underreported, especially as a bridging therapy, as well as the effect of previous response to InO on post brexu-cel outcomes. Methods: This is a retrospective multicenter analysis from 25 U.S. institutions of adults (≥18 years) with r/r B-ALL treated with commercial brexu-cel from 2021 to 2023 post FDA approval. Methodologies for assessing minimal residual disease (MRD) (minimal threshold of 10 -4) included flow cytometry, NGS, or qPCR depending on institutional practice. Progression-free survival (PFS) and overall survival (OS) were calculated from day of brexu-cel infusion and were not censored for hematopoietic cell transplant (HCT) or maintenance. All living patients were censored at the time of last follow-up prior to data lock, which occurred on June 30, 2023. Results: Among 152 infused, 83 (54.6%) had pre-CAR InO therapy (InO-exposed), with a median of 3 administered doses (range: 1-22). Within the InO-exposed cohort, 23 (28%) pts received InO as a CAR T-cell bridging therapy (ie, between apheresis and lymphodepletion) with or without pre-apheresis and 60 (72%) pts received InO only during pre-apheresis. Baseline characteristics for InO exposed and InO-naïve pts are shown in Table 1. InO-exposed pts had higher median prior lines of therapies (4 vs. 3; p= 0.05), more frequently had active disease (≥5% marrow blasts) at the time of apheresis (67% vs. 44%, p= 0.02), and had lower incidence of Ph+ disease (19% vs. 45%, p=0.003), compared to InO-naïve pts, respectively. The incidences of cytokine release syndrome (CRS) (85% vs. 85%, p= 0.26) and ICANS (58% vs. 57%, p= 0.36) post infusion were similar, and post-infusion death in remission occurred in 17% and 12% among InO-exposed and InO-naïve pts, respectively. Morphological complete remission (CR) and MRD- rates following brexu-cel infusion were 89% and 77% for InO-exposed pts, and 92% and 70% for InO-naive pts, respectively. Post CAR therapy, more InO-naïve pts underwent consolidation/maintenance therapy (transplant, chemotherapy, or TKIs) compared to InO-exposed pts (41% vs. 19%, p= 0.004). The median follow-up after brexu-cel was 8.4 (range) months. Median OS (not reached (NR) vs. 12 months; p= 0.033) and median PFS (NR vs. 7 months; p= 0.029) were superior in InO-naïve pts compared to InO-exposed pts, respectively. However, after adjusting for pre-apheresis disease burden and post-CAR maintenance therapy, there were no longer significant differences in OS (HR= 1.25;95%CI: 0.62-2.53; p= 0.53) or PFS (HR= 1.24;95%CI:0.71-2.16, p=0.45) based on pre-CAR InO exposure. When InO-exposed pts were stratified based on prior InO-response (CR vs. no response), InO-responsive pts had superior estimated 12-month OS (64%) and PFS (38%) relative to InO-refractory pts (OS: 33%; PFS: 34%), but inferior to InO-naïve pts (OS: 75%; PFS 56%), with p-values of 0.0001 and 0.021 for OS and PFS, respectively (Figure 1). The timing of pre-CAR InO therapy did not impact brexu-cel survival outcomes, with comparable estimated 12-month OS (43% vs. 58%, p= 0.35) and PFS (46% vs. 38%, p= 0.57) for InO-exposed pts during bridging therapy and patients who received InO as a therapy prior to apheresis. Conclusion: After adjusting for pre-CAR disease burden and post-CAR consolidation/maintenance, we found that prior InO exposure does not significantly associate with PFS or OS following brexu-cel. However, relative to InO-responsive patients, patients who were InO-refractory appear to have worse post-CAR survival outcomes. Finally, timing of InO administration (ie as a prior line of therapy or as CAR bridging) did not influence outcomes brexu-cel outcomes.

Background and Significance: Allogeneic hematopoietic cell transplantation (alloHCT) is a curative immunotherapy for patients with hematologic disorders. However, graft-versus-host-disease (GVHD) is a major limitation to the success of alloHCT, with chronic GVHD (cGVHD) as the leading cause of morbidity and mortality. The pleomorphic nature of cGVHD makes the diagnosis and patient management challenging for clinicians; thus, patient-reported symptoms often guide in diagnosing and determining the severity of cGVHD. Our current understanding of cGVHD is largely based on data from registries, single-institution prospective studies, and the cGVHD Consortium with representation from tertiary care academic centers. Prospective studies including patient-reported outcomes and a focus on a more representative and generalizable sample of patients with cGVHD are needed to better understand cGVHD symptoms, disease burden, and practice patterns for management. This trial in progress focuses on broad patient-centered assessment of post-alloHCT medical and psychosocial complications and patient-reported caregiver involvement in a diverse and contemporary patient population. This study uses multiple organ- or system-directed patient-reported outcome measures (PROMs) to help identify cGVHD symptoms, severity, and impact on patient quality of life including financial impact. The primary objective of THRIVE is to assess the clinical course and burden of cGVHD, including diagnosis and severity recorded in electronic case report forms (eCRFs) and PROMs. Secondary objectives include measuring healthcare resource utilization and patient economic and employment impact associated with cGVHD management, as well as patient-reported organ-specific symptoms. Study Design and Methods: THRIVE is a prospective, longitudinal, observational study (NCT05919511) of alloHCT recipients in the United States that uses a hybrid model designed to work with HCT centers and a virtual platform. Eligible patients are ≥18 years old, received alloHCT 90-180 days before enrollment, and are able to complete patient-assessment questionnaires provided in their preferred language either alone or with minimal caregiver assistance. Up to 1500 alloHCT recipients will be recruited at HCT sites (with the expectation that ~500 will have cGVHD symptoms at enrollment; ~500 are estimated to develop cGVHD during the course of the study; ~500 are estimated not to develop cGVHD during the study; Figure). Patients have the option to participate on a virtual platform. Patients will be followed for 36 months from date of enrollment or until the earliest of study termination, withdrawal, or death. Data from 13 PROMs (Table) divided into 3 groups will be collected every 3 months using a decentralized virtual platform. To reduce survey burden, patients will be randomized into 1 of 6 sequence groups to capture 4-5 PROMs per month in year 1 and every 2 months in years 2 and 3. Clinical data, including medications and adverse events, will be collected and abstracted into eCRFs every 3 months. In general, reporting of results will be descriptive for variables of interest. Summary statistics for continuous variables and for categorical variables will be calculated for all patients as well as for subgroups of interest. Whenever applicable, 95% confidence intervals will be calculated for endpoint estimates. Univariate, multivariate, or repeated-measurement analyses will be performed to assess factors associated with evolution of clinical manifestations of and complications from cGVHD. Recruitment for this study is ongoing.