Vatsayan, Anant

Abstract Background Pediatric patients undergoing hematopoietic cell transplantation (HCT) may develop life-threatening complications and need for ICU admission (ICU). They may display more severe and/or unique manifestations of organ dysfunction syndromes, including acute respiratory failure, sepsis and delirium, compared to the general pediatric In this interim analysis of the POEM study, the utility of a p-MODS screening tool as a predictor of endotheliopathies and/or ICU is reported. Methods: NCT05090345 is a prospective multi-center registry/biorepository trial of children and adolescents/young adults (AYA) undergoing HCT to assess the impact of endotheliopathies on morbidity and mortality. Patients undergoing all HCT types are prospectively monitored for 100 days post-HCT for sinusoidal obstructive syndrome (SOS), thrombotic microangiopathy (TMA), capillary leak syndrome (CLS), diffuse alveolar hemorrhage (DAH) and ICU. The risk of p-MODS was assessed within 7 days of HCT admission and weekly for 4 weeks, to dynamically evaluate organ function across 8 systems: respiratory, cardiovascular, renal, hepatic, hematologic, neurologic, immune, and gastrointestinal. Each system was graded on a 0–5 scale based on clinical and laboratory parameters, with total pMODS calculated using the worst score per organ. Descriptive statistics were used to compare p-MODS score between groups with “events” (defined as endotheliopathy or ICU) versus “no events”. The “no event” comparison group was matched 1:1 by diagnosis, age, gender and HCT type. Results: Among all subjects (n=151), the median age was 11.3 (range: 0.2–26.9) years and the majority (64%) male and Caucasian ( 60%) and 20% Black. Most patients (86.8%) underwent allogeneic HCT. Common indications were hematologic malignancy (45%), solid tumors (19%) and hemoglobinopathies (8.6%).Events (n=50) were observed in 35 of 151 patients, including ICU (n=26), SOS (n=19), TMA (n=3) CLS (n=1) and DAH (n=1). Events occurred at a median of 16 (range: –7 to 85) days post-HCT. Median time to ICU was 15 (range: –7 to 82) days post-HCT. The median pMODS score at the time of ICU was 10 (range: 1–22). All three patients with TMA had preceding ICU admissions and 4 of 19 patients with SOS required ICU management. The median time to onset of endotheliopathy was 17 (range: 6–33) days post-HCT. The median pMODS score at the time of event was 11 (range: 7–18), compared to a median of 8 (range: 5–21) the week prior to onset. Patients who developed events exhibited progressively higher scores compared to matched controls starting at week 1 (p < 0.05). This difference became more pronounced over time, reaching statistical significance at week 2 (p < 0.001). Since physiologic decline may precede overt events, we next analyzed pMODS score change between Day 0 and week 1. A significant difference was observed with median increase of 2 (range: –2 to 16) in the event group versus 1 (range: –3 to 7) in the control group (p = 0.01). Analysis of individual organ system scores revealed notable differences between the event and control groups by Week 1, prior to median event onset. The event group had higher rates of indicators of organ dysfunction in 6 of 8 organ system. The event group had more subjects with acute kidney injury, elevated delirium scores, need for respiratory support, increased bilirubin, moderate to significant weight gain and infections. However, rates of neutropenia and lymphopenia were comparable between groups. Conclusion In this interim analysis, a significant increase in pMODS between Day 0 and week 1 post-HCT may reflect early physiologic decline, with notable changes in respiratory status, acute kidney injury, elevated CAPD scores, and infectious burden. These findings highlight the potential utility of pMODS as an early screening tool to identify pediatric HCT recipients at risk for clinical deterioration. Prospective and dynamic monitoring of pMODS may support timely intervention and improve outcomes in this vulnerable population.

Abstract Lineage switch (LS), defined as the immunophenotypic transformation of acute leukemia, has emerged as a mechanism of relapse after antigen-targeted immunotherapy, which is associated with dismal outcomes. Through an international collaborative effort, we identified cases of LS after a host of antigen-targeted therapies (eg, CD19, CD22, CD38, and CD7), described how LS was diagnosed, reviewed treatment approaches, and analyzed overall outcomes for this form of postimmunotherapy relapse. Collectively, 75 cases of LS were evaluated, including 53 (70.7%) cases of B-cell acute lymphoblastic leukemia (B-ALL) transforming to acute myeloid leukemia (AML), 17 (22.7%) cases of B-ALL transforming to mixed phenotypic acute leukemia (MPAL)/acute leukemias of ambiguous lineage (ALAL), and 5 (6.7%) cases of rare LS presentation (ie, T-cell ALL to AML). An additional 10 cases with incomplete changes in immunophenotype, referred to as “lineage drift” were also described. With a primary focus on the 70 cases of LS from B-ALL to AML or MPAL/ALAL, LS emerged at a median of 1.5 months (range, 0-36.5) after immunotherapy, with 81.4% presenting with LS within the first 6 months from the most proximal immunotherapy. Although most involved KMT2A rearrangements (n = 45, 64.3%), other rare cytogenetic and/or molecular alterations were uniquely observed. Treatment outcomes were generally poor, with remission rates of <40%. The median overall survival after LS diagnosis was 4.8 months. Outcomes were similarly poor for those with rare immunophenotypes of LS or lineage drift. This global initiative robustly categorizes lineage changes after immunotherapy and, through enhanced understanding, establishes a foundation for improving outcomes of LS.

Introduction: Lineage switch (LS) refers to the transformation of acute leukemia from one cell lineage to another (e.g., lymphoid (ALL) to myeloid (AML)). This rare phenomenon, distinct from treatment induced malignancy (i.e., t-AML) and mixed phenotype acute leukemia (MPAL), is increasingly being observed following cell surface antigen targeting. Given challenges in the diagnosis and treatment of LS, Project EVOLVE was developed to globally identify cases of LS following immunotherapy. Methods: A protocol and data collection form for this IRB exempt study was widely disseminated to capture deidentified LS case information across multiple centers and cancer consortia. This included collection of data from published reports of LS, with authors contacted to obtain additional information. For this analysis, LS was defined by the emergence of cell-surface markers warranting reclassification of the original leukemia as a different lineage derivation based on the immunophenotype, including cases of AML emerging alongside the original ALL. “Confirmed” LS cases included those where retention of original cytogenetic or molecular aberrations and/or the clonal immunoglobulin rearrangement patterns were verified to confirm the clonal relationship. “Suspected” LS cases included those where samples to confirm clonality marker retention could not be obtained, but the clinical presentation was consistent with LS. The term “transition” was applied when immunophenotypic shifts were transient. Cases with new cytogenetic abnormalities unrelated to the original diagnosis and compatible with t-AML were excluded. Statistical analysis was primarily descriptive. Data cut-off was July 26, 2023. Results: A total of 58 cases were identified, including 19 cases referenced in prior publications. Of the 58, 11 cases were excluded from this initial analysis, including: 4 cases of t-AML, 2 cases of T-ALL to AML, and 5 “transition” cases. Collectively, 47 cases of LS (43 “confirmed”; 4 “suspected”), spanning across 3 continents and 8 countries, were analyzed. (Fig. 1A) Cases included transition from B-ALL to AML in 36 (76.6%) and to MPAL/biphenotypic/ambiguous lineage in 11 (23.4%). Two likely had MPAL at diagnosis and a third with chronic myeloid leukemia. The median age at initial diagnosis was 8.4 years (range, 1 day-76.5 years); median age at LS presentation was 11.0 years (range 0.4-77.3 years). Twenty-three (48.9%) were male and 19 (40.4%) had prior stem cell transplant (SCT). Baseline cytogenetics showed KMT2A rearrangement in 27 (57.4%). Baseline myeloid antigen co-expression was seen in 22 of 23 patients with submitted data, but variation in degree of expression across patients and antigens was substantial. The most proximal immunotherapy prior to development of LS was CAR T-cells in 23 (48.9%) and blinatumomab in 24 (51.1%). The median time from the most proximal immunotherapy to development of LS was 1.6 months (range, 7 days-36.5 months). In 7 (29.2%) patients receiving blinatumomab, LS developed during the infusion. LS presented as isolated marrow relapse in 27 (57.4%), isolated CNS in 2 (4.3%), isolated non-CNS extramedullary disease in 3 (6.4%), combined relapse in 14 (29.8%) and unreported in 1. First line treatment for LS was chemotherapy induction in 31 (66.0%), palliative care/no therapy in 8 (17.0%), and alternative therapies in the remaining 8 (17.0%). In 35 (74.5%) patients, remission induction was the goal of first line therapy. Fifteen (31.9%) achieved a complete remission (CR) of whom 2 were treated with palliative intent. Across all patients, 8 (17.0%) are alive in remission, the longest being 4.7 years from LS diagnosis; 2 (4.3%) are alive with active LS and 37 (78.7%) died from LS, their original disease, or complications of treatment of LS (Fig 1B). For those alive in CR (n=8), 7 (87.5%) proceeded to a consolidative SCT for treatment of LS and 1 patient, an octogenarian remains in remission after AML directed therapy. Conclusions: LS is emerging as an important mechanism of immune escape following immunotherapy. Project EVOLVE provides the largest dataset of patients with LS to date. This systematic, international effort reveals substantial complexity and variability in diagnosing and managing LS. Unfortunately, outcomes following LS are grim, underscoring the critical need to identify risk factors of and optimal therapies for this leukemia transformation.