Delgado, Julio

Abstract Introduction: Trastuzumab emtansine (T-DM1) is a standard therapeutic agent for advanced stages of HER2-positive breast cancer, known to improve survival rates. However, it is associated with side effects including fatigue, anemia, and mild-to-moderate bleeding. We present a rare case of pulmonary arteriovenous malformations (PAVMs) potentially linked to T-DM1 therapy, with clinical manifestations resembling hereditary hemorrhagic telangiectasia (HHT). Case Presentation: A 57-year-old female presented with chronic hypoxia on 3 L/min nasal oxygen. Her history included two years of worsening exertional dyspnea and hypoxemia during T-DM1 therapy for HER2-positive breast cancer, diagnosed 10 years earlier. She underwent bilateral mastectomy and was treated with T-DM1 and anastrozole. Echocardiography suggested a right-to-left shunt, while right heart catheterization excluded pulmonary hypertension. Subsequent CT angiography revealed small peripheral PAVMs, confirmed by Tc-99m MAA scintigraphy with a 30% right-to-left shunt. Lab results showed PaO2 at 52 mmHg, HCO3 at 20.3 mmol/L, O2 saturation at 86.4%, and PCO2 at 31 mmHg. Pulmonary function tests indicated restrictive lung volumes and severe diffusion impairment (FVC: 2.66 L, FEV1: 2.06 L, FEV1/FVC: 77.5%, TLC: 3.99 L, DLCO-SB: 20.7% predicted). Following discontinuation of T-DM1, patient experienced slight improvement in telangiectasias and dyspnea over three months but continued to require 10-15 L/min of oxygen during exertion. Arterial blood gas analysis showed a PaO2 of 56.4 mmHg, HCO3 of 20.7 mmol/L, resting O2 saturation of 88.4%, PCO2 of 26.8 mmHg, and PaO2 of 180.9 mmHg on 100% oxygen via a non-rebreather mask, indicating a persistent right-to-left shunt. Discussion: Arteriovenous malformations (AVMs) are abnormal artery-vein connections linked to HHT, with PAVMs present in 80-90% of HHT cases, leading to right-to-left shunts. This patient's prolonged T-DM1 therapy appears associated with PAVMs and HHT-like symptoms. While T-DM1 has been linked to pulmonary and portal hypertension, as well as cerebral AVMs, this is the first report associating it with PAVMs, possibly through disruption of endothelial function and HHT pathways like ALK1 and ENG. Diagnosing PAVMs can be challenging due to their often-asymptomatic nature; however, in this case, they were identified through repeated CT imaging and Tc-99m MAA scintigraphy. Embolization, a typical intervention for PAVMs, was not feasible due to the small size of the malformations. The patient's condition improved after discontinuing T-DM1, suggesting a potential link between the drug and PAVMs. Understanding the mechanisms by which T-DM1 induces vascular abnormalities is crucial for developing targeted interventions and improving patient outcomes.

Background: In 2015 the first B-cell acute lymphoblastic leukemia (B-ALL) patient receiving CAR T-cell therapy in Europe was reported to the EBMT registry. Today, the EBMT registry counts with more than 9000 patients treated with CAR T-cell therapies across all indications. Here, on behalf of the GoCART coalition, we present the outcomes of the largest European cohort of B-ALL patients treated with autologous, second generation, CD19-targeted CAR T-cells to date. Methods: Adult and paediatric patients with B-ALL received treatment with CAR T-cell therapy using either academic or commercially available products in 40 centres across 17 different countries. Safety was retrospectively assessed as per ASCTC 2019 consensus grading and CTCAE, and efficacy as per NCCN guidelines. Relapse incidence was defined as haematological relapse or progression after CART with non-relapse mortality as competing event. Leukemia free survival (LFS) was defined as being alive without occurrence of relapse. Follow-up includes patients treated from 2016 to Dec 2023 until data cutoff in June 2024. Results: A total of 345 patients (173 adults and 172 pediatrics) received therapy from 2016 to 2023 with tisagenlecleucel (65.2%), varnimcabtagene autoleucel (25.8%), brexucabtagene autoleucel (5.5%), and others (3.5%). Median age at infusion was 18 yrs. (range, 1.1-78.2) and 41.7% were females. High-risk features were identified including cytogenetic/genomic high-risk as per ELN guidelines (33.8%), relapse after allo-HCT (57.7%), early relapse (<1 year) after prior allo-HCT (30.4%), ≥3 prior treatment lines (55.5%) including prior exposure (and refractoriness) to blinatumomab and inotuzumab in 27.3% (34%) and 28.8% (32.3%), respectively. Median time from diagnosis to CART infusion was 2.8 years (0.1-17.9). Median time from last relapse prior CART to infusion was 2 months (range, 0.9-38.4). Bridging therapy was administered in 86.4% (298) of patients based on high or low intensity chemotherapy (32.1% or 26.5%, respectively), inotuzumab-ozogamicin (13.4%), TKI (8.2%), involved-site therapy (intrathecal chemotherapy, radiotherapy, orchiectomy) (3.5%), and blinatumomab (2.6%), alone or in combination. Prior to infusion, 34.7% had more than 5% BM blast count, 16.3% had circulating blasts in PB, and 20.6% had extramedullary disease. Lymphodepletion was performed in all but one patient, based on fludarabine and cyclophosphamide regimens. The reverse Kaplan-Meier median follow-up was of 2.2 years. The incidence of any grade (and severe) CRS was 71.6% (14.5%), and for ICANS was 15.7% (7.6%). The cumulative incidence of MRD-negative CR at month +3 was 76.9% (71.9-81.1), followed by a 2-year overall survival of 64.6% (58.7-69.8), leukemia-free survival of 48% (42.1-53.7), and relapse incidence of 45.5% (39.6-51.2). Non-relapse mortality at 2 years was 6.5% (4-9.6), 2-year cumulative incidence of subsequent HSCT of 33.3% (28-38.7) and second CAR-T infusions of 12.4% (8.8-16.6). Allogeneic HSCT after CAR-T was performed in 113 cases including 67 (59.3%) HSCT-naïve patients, due to molecular or overt disease relapse (60.9%), and other non-relapse reasons including suboptimal CAR-T persistence/B-cell aplasia (19.1%), pre-CAR-T high-risk features (13.6%), second malignancies (1.8%), and others. Second CAR-T infusions were performed in 39 cases due to molecular or overt disease relapse (79.5%) or suboptimal CAR-T persistence/B-cell aplasia in the absence of relapse (20.5%). Conclusions: The results from this European study demonstrate that CD19-targeted CAR T-cell therapy is an effective treatment for patients with high-risk B-cell ALL, providing substantial leukemia-free survival and overall survival rates despite the high-risk nature of the patient population. The necessity for bridging therapies and subsequent consolidative approaches, such as HSCT and second CAR T infusions, underscores the complexity and tailored nature of managing R/R B-ALL. These findings support the continued use and further investigation of CAR T-cell therapy in diverse clinical settings, emphasizing the importance of post-infusion strategies to sustain long-term remission. This will provide deeper insights into the factors influencing outcomes and help refine treatment protocols to improve patient care.

AbstractMost patients with chronic lymphocytic leukemia (CLL) are diagnosed with early-stage disease and managed with active surveillance. The individual course of patients with early-stage CLL is heterogeneous, and their probability of needing treatment is hardly anticipated at diagnosis. We aimed at developing an international prognostic score to predict time to first treatment (TTFT) in patients with CLL with early, asymptomatic disease (International Prognostic Score for Early-stage CLL [IPS-E]). Individual patient data from 11 international cohorts of patients with early-stage CLL (n = 4933) were analyzed to build and validate the prognostic score. Three covariates were consistently and independently correlated with TTFT: unmutated immunoglobulin heavy variable gene (IGHV), absolute lymphocyte count higher than 15 × 109/L, and presence of palpable lymph nodes. The IPS-E was the sum of the covariates (1 point each), and separated low-risk (score 0), intermediate-risk (score 1), and high-risk (score 2-3) patients showing a distinct TTFT. The score accuracy was validated in 9 cohorts staged by the Binet system and 1 cohort staged by the Rai system. The C-index was 0.74 in the training series and 0.70 in the aggregate of validation series. By meta-analysis of the training and validation cohorts, the 5-year cumulative risk for treatment start was 8.4%, 28.4%, and 61.2% among low-risk, intermediate-risk, and high-risk patients, respectively. The IPS-E is a simple and robust prognostic model that predicts the likelihood of treatment requirement in patients with early-stage CLL. The IPS-E can be useful in clinical management and in the design of early intervention clinical trials.

Abstract BACKGROUND: The study of rare diseases is limited by the uncommon nature of the conditions as well as the widely dispersed patient populations. Current rare disease registries such as the National Organization of Rare Diseases utilize centralized platforms for data collection; however because of their broad nature, these do not always capture unique, disease specific elements. Hairy Cell Leukemia (HCL) is a rare leukemia globally with approximately 900 new cases diagnosed in the US each year. The HCL Foundation undertook creation of a Patient Data Registry that collects data from multiple HCL Centers of Excellence (COE) around the globe to better understand the complications, treatment outcomes, disease subtypes, comorbid conditions, epidemiology, and quality of life of patients with HCL. METHODS: Investigators at The Ohio State University Department of Biomedical Informatics and Division of Hematology in collaboration with the HCL Foundation developed a Patient Data Registry (PDR) for the longitudinal capture of high quality research data. This system differs from other registries in that it uses a federated( rather than centralized) architecture, wherein data is queried and integrated in an on-demand manner from local registry databases at each participating site. Further, the data collected for use in the registry combines both automated exports from existing electronic health records (EHRs) as well as additional data entered via a set of web-based forms. All manually entered data comes from source documents, and data provenance spanning electronic and manually entered data is maintained via multiple technical measures. Patients may be enrolled at HCL COE, or, if they do not have access to a COE they may enroll via a web-based portal (www.hairycellleukemia.org). At this time due to regulatory requirements the web-based portal is available to US patients only. All data are de-identified (see Figure 1: De-Identification Workflow) which reduces regulatory burden and increases opportunities for data access and re-use. End users have access to data via a project-specific query portal. RESULTS: The Patient Data Registry has been deployed at The Ohio State University, Royal Marsden Hospital, and MD Anderson Cancer Center, and is undergoing deployment at the University of Rochester. Up to 25 international HCL COE may participate. In addition, US patients are actively entering the registry via the web-based portal. To date, 227 patients have been consented to the registry with 119 of these being via the web-based entry point. CONCLUSION: We created an international and web-based patient data registry which will enable researchers to study outcomes in HCL in ways not previously possible given the rarity of the disease. This work was made possible by research funding from the Hairy Cell Leukemia Foundation. Figure De-Identification Workflow Figure. De-Identification Workflow Disclosures Andritsos: Hairy Cell Leukemia Foundation: Research Funding. Anghelina:Hairy Cell Leukemia Foundation: Research Funding. Lele:Hairy Cell Leukemia Foundation: Research Funding. Burger:Pharmacyclics: Research Funding. Delgado:Gilead: Consultancy, Honoraria; Novartis/GSK: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; Infinity: Research Funding. Jones:AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics, LLC, an AbbVie Company: Membership on an entity's Board of Directors or advisory committees, Research Funding. Lozanski:Beckman Coulter: Research Funding; Genentech: Research Funding; Stemline Therapeutics Inc.: Research Funding; Boehringer Ingelheim: Research Funding. Montserrat:Morphosys: Other: Expert Testimony; Vivia Biotech: Equity Ownership; Gilead: Consultancy, Other: Expert Testimony; Pharmacyclics: Consultancy; Janssen: Honoraria, Other: travel, accommodations, expenses. Parikh:Pharmacyclics: Honoraria, Research Funding. Park:Genentech/Roche: Research Funding; Amgen: Consultancy; Juno Therapeutics: Consultancy, Research Funding. Robak:Pharmacyclics, LLC, an AbbVie Company: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding. Tam:janssen: Honoraria, Research Funding; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees. Heckler:Hairy Cell Leukemia Foundation: Research Funding. Payne:Hairy Cell Leukemia Foundation: Research Funding.

Abstract BACKGROUND. The detection of minimal residual disease (MRD) at the level of 0.01%/10-4 or above is a strong independent predictor of reduced progression-free (PFS) and overall survival (OS) in patients with CLL treated with chemoimmunotherapy. Although newer agents such as B-cell receptor pathway inhibitors can result in prolonged survival without achieving complete response, there remains a important role for MRD analysis in assessing therapeutic strategies aimed at disease eradication and cure. This is particularly important in front-line trials for fit patients which now require at least five years of follow-up if PFS is used as an endpoint. The feasibility of using MRD as a surrogate or intermediate endpoint for accelerated approval of new treatments is under review by regulatory agencies but further prospective validation is required. At the same time technology is rapidly evolving and high-throughput sequencing (HTS) technologies now detect MRD at the 0.0001%/10-6 level. It is therefore important to determine the most effective approaches for quantifying MRD that are compatible with previous studies but sufficiently sensitive for current treatments. AIMS. This collaborative project had two objectives. First, to identify the simplest and most flexible flow cytometry panel capable of detecting MRD at the 0.01%/10-4 or lower, that is compatible with published data and independent of instrument/reagent manufacturer. Second, to compare the flow cytometry approach with HTS analysis using the ClonoSEQ assay (Adaptive Biotechnologies, Seattle, WA). METHODS AND RESULTS. A core panel of antibodies for MRD detection was identified by testing an 8-marker combination in 52 samples (27 post-treatment and 25 dilution study) and re-analysing data with serial exclusion of single markers to determine redundancy. A 1-tube core panel of CD19, CD20, CD5, CD43, CD79b, and CD81 was identified and validated against the previously published 2-tube 6-marker and 4-tube 4-marker ERIC panels in 76 samples (19 post-treatment and 57 dilution study). The results showed good concordance (for log-transformed data above the LoQ, linearity=0.977, Pearson correlation co-efficient=0.983, average difference=0.026 log, 95% limit of agreement 0.20log) and a limit of detection of 0.001%/10-5 for the 1-tube core panel. Inter-operator variation was similar to CML MRD monitoring with both experienced operators, or inexperienced cytometrists after ~1 hour of specific education, achieving a 95% limit of agreement less than 0.3log in samples with MRD levels ranging from 0.0001 – 100%. The flow cytometry approach was compared with the ClonoSEQ HTS assay in 109 samples (21 dilution study and 88 post-treatment samples, complete data currently available on 13/88). The assay was applicable to the vast majority CLL patients, often with two clonal markers. There was 94% concordance at the 0.01% (10-4) threshold (15 samples with ≥0.01% CLL by both methods, 14 samples with <0.01% by both methods, 1 sample with 0.03% CLL by HTS and <0.003% CLL by flow cytometry, and 1 sample with 0.005% CLL by HTS and 0.012% by flow cytometry. HTS detected CLL IGH sequences in 22% (7/31) samples with no detectable CLL cells by flow cytometry (i.e. CLL level 0.0001-0.001%, 3/13 patient samples and 4/18 dilution samples). HTS demonstrated a relatively high variability in quantification, as seen in previous studies, but with a clear superiority in the limit of detection and good linearity (linearity=0.905, Pearson correlation co-efficient=0.870, average difference=0.078 log, 95% limit of agreement 1.5 log). CONCLUSIONS. The 1-tube 6-marker flow cytometry core panel is compatible with published studies, manufacturer-independent and flexible, providing directly quantitative results to 0.001%/10-5 without requiring a pre-treatment sample. HTS requires further work to standardise the quantitative analysis and prospective validation but the ClonoSEQ assay is applicable to >95% of CLL patients, does not require viable cells and is extremely sensitive, detecting residual disease in a significant proportion of cases with <0.01% CLL. The results indicate that flow cytometry and HTS are complementary technologies with a combined approach offering the most reliable way of quantifying CLL at the 0.01%/10-4 threshold while allowing higher sensitivity in clinical trials aimed at disease eradication. Disclosures Rawstron: Roche: Honoraria; Biogen Idec: Consultancy; Gilead: Consultancy, Honoraria; Abbvie: Honoraria; BD Biosciences: Intrasure reagent Patents & Royalties; Celgene: Honoraria; GSK: Honoraria. Williamson:Adaptive Biotechnologies: Employment, Equity Ownership. Sanders:Adaptive Biotechnologies: Employment, Equity Ownership. Robins:Adaptive Biotechnologies: Consultancy, Equity Ownership, Patents & Royalties. Hallek:Celgene: Honoraria, Research Funding; Mundipharma: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; GSK: Honoraria; Gilead: Honoraria. Hillmen:Roche: Honoraria, Research Funding; GSK: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Pharmacyclics: Honoraria, Research Funding; Gilead: Honoraria, Research Funding.