Citations

Abstract Nonmyeloablative-related haploidentical allogeneic stem cell transplantation (NMAC-HID allo-HSCT) has emerged as an additional treatment to achieve durable remission in sickle cell disease (SCD), a prevalent blood disorder characterized by painful vaso-occlusive crises and chronic anemia. The standard of care (SOC) for SCD includes hydroxyurea, pain management, and blood transfusion, but patients with SCD still lose several decades of life expectancy. Gene therapy (GT) for SCD is the other treatment for lifelong disease amelioration in SCD, with accessibility limited by cost and manufacturing capacity in the United States and globally. Two recent prospective studies that evaluated NMAC-HID allo-HSCT validated haploidentical allotransplantation as an efficacious and accessible treatment option in the era of GT. Given the ongoing price negotiation across jurisdictions for GT implementation and the absence of cost-effectiveness data comparing NMAC-HID allo-HSCT and GT, we conducted a cost-effectiveness analysis of NMAC-HID allo-HSCT vs GT vs SOC for adults and children living with SCD. The primary outcomes were the incremental cost-effectiveness ratio and the net monetary benefits across these 3 strategies. The secondary outcome was the maximum cost-effective threshold price for GT compared with NMAC-HID allo-HSCT. Treatment with SOC, NMAC-HID allo-HSCT, and GT accrued 14.3, 20.1, and 22.1 quality-adjusted life-years at costs of $1.22 million, $1.15 million, and $2.75 million, respectively. NMAC-HID allo-HSCT was the cost-effective strategy compared with GT in 100% of 10 000 Monte Carlo iterations across the base case and all scenario analyses. The maximum cost-effective thresholds for GT vs SOC were $1.4 million in the United States and $4200 to $22 000 across India, Nigeria, and Tanzania, depending on willingness-to-pay thresholds.

Abstract Epilepsy affects more than 50 million individuals globally and has a substantial genetic component that remains to be completely understood. Traditional studies have focused on severe, early onset cases enrolled through clinical or research settings. Recent biobank‐based approaches, leveraging large‐scale population datasets, offer opportunities to explore genetic associations in broader epilepsy phenotypes, including milder, later onset forms. We analyzed data from more than 750 000 individuals across the UK Biobank, All of Us, and Massachusetts General Brigham Biobank, including 20 026 individuals with epilepsy. Rare coding variant burden testing revealed a significant association with LGI1 , a known epilepsy gene. Among the other top 10 associated genes, seven had prior evidence linking them to epilepsy ( GABRG2 , ATP1A3 ), neurological disorders with comorbid seizures ( HTRA2 , KRIT1 , STAG1 ), possible involvement in seizure phenotypes ( ADAM23 ), or roles in neuronal function ( PDCD4 ). Thus, we provide the first statistical evidence for ADAM23 as a candidate gene for epilepsy, based on the suggestive association signal combined with prior biological evidence from both animal (canine and murine) and one recent human epilepsy case study, potentially contributing to human epilepsy through its direct interaction with LGI1 . Phenome‐wide analyses highlighted the pleiotropic effects of epilepsy genes, with LGI1 and ADAM23 predominantly associated with epilepsy, whereas other genes such as KRIT1 , TSC1 , and TSC2 exhibited broader systemic involvement. Our study shows the potential of population‐scale genomic data and suggests that integrating these datasets with deep phenotyping will uncover more novel insights into epilepsy genetics in the future.

1591 Background: The 21-gene OncotypeDX (ODX) recurrence score (RS) is the standard for chemotherapy decision-making in HR+/HER2- early breast cancer (EBC), but cost limits accessibility in resource-constrained settings. The Magee equations (MEs) use routine pathology features (Nottingham grade and IHC; ER/PR/HER2/Ki-67) to estimate RS. We performed a meta-analysis to validate MEs performance as a triage tool for ODX testing and a qualitative synthesis to identify sources of discordance, highlighting the transition toward objective digital pathology AI models. Methods: A systematic review identified validation studies comparing MEs with RS in HR+ EBC. Studies with sufficient data to construct a 2X2 contingency table were included; neoadjuvant trials were excluded. Primary outcomes were Negative Predictive Value (NPV) for identifying low-risk cases (RS <26 for the current TAILORx cutoff and RS<31 for the historical cutoff) and ODX test sparing rate (TSR). Data were pooled using random-effects models. Qualitative themes regarding interpretation variability were extracted from study results and discussion sections. Results: Thirteen studies met the inclusion criteria, representing 5396 patients in global cohorts from the USA, Mexico, Colombia, Jordan, France, Belgium, and Canada. For RS >26, Magee <18 achieved pooled NPV of 0.96 (95% CI: 0.94-0.97) and TSR 61% (95% CI:51%-69%). For RS >31, NPV increased to 0.99 (95% CI: 0.97-1.00) and TSR 52% (95% CI: 44%-59%). Pooled diagnostic performance for Magee <18 predicting RS <26 demonstrated 83% sensitivity and 71% specificity (AUC 0.81, LR+:2.53, LR-:0.28). Qualitative analysis of discordance identified: (1) Inter-observer variability: Nottingham mitotic counts and Ki-67 scoring were the primary drivers of score fluctuations. (2) IHC quantification: Variations in H-score calculation and Allred-to-H-score conversion introduced heterogeneity (3) Pre-analytical and biological factors: Inflammation and stromal proliferation occasionally inflated genomic RS; selection of non-representative blocks and intratumor heterogeneity further contributed to discordance (4) Technological solutions: Digital pathology and AI models emerge as solutions to standardize these variables. Conclusions: Magee-based triage provides a safe and cost-effective strategy for HR+ EBC risk stratification, with NPV up to 99% for excluding high-risk disease and sparing up to 61% of ODX testing. These results confirm a robust histopathological signal. Transitioning to objective digital pathomics provides a pathway to reduce manual subjectivity and democratize precision oncology globally. Pooled diagnostic accuracy of Magee equations by cutoff. Magee score and RS cutoff Number of studies Total patients Pooled NPV (95% CI) ODX test sparing rate (95% CI) Magee <18/ RS>26 8 4153 0.96 (0.94-0.97) 61% (51%-69%) Magee <18/ RS>31 5 1243 0.99 (0.97-1.00) 52% (44%-59%)

Aim Incorporating patient-reported outcomes (PROs) into clinical practice and real-world research is essential to enable a more holistic assessment of treatment effectiveness, beyond migraine frequency alone. Given the number of calcitonin gene-related peptide (CGRP)-targeted treatments available, switching between CGRP-targeted preventive therapies is a common practice. Real-world evidence on switching to intravenous eptinezumab in adults with migraine for whom prior subcutaneous or oral CGRP-targeted preventive therapies failed is limited. The ongoing INFUSE study was designed to evaluate the real-world effectiveness of switching to eptinezumab in US clinical practice among adults with migraine for whom ≥1 prior CGRP-targeted preventive therapy had failed. Methods INFUSE, a real-world, non-interventional study evaluating the effectiveness of eptinezumab in US clinical practice, included adults with migraine for whom ≥1 prior CGRP-targeted preventive therapy had failed and who were newly initiating eptinezumab treatment. PROs were collected electronically. To provide an overall assessment of the change in migraine disease, Patient Global Impression of Change (PGIC) was utilized. Other outcomes allowed for the evaluation of novel end points, such as brain fog and participant-defined good days. Results The baseline population included 190 participants (female, 88.9%; 35–54 years of age, 53.7%). At month 6, 44.1% (95% confidence interval (CI): 35.3–53.4%) of participants reported “much/very much improved” on PGIC, and 75.7% (95% CI: 66.9–82.7%) reported any improvement. Mean good days increased by 6.3 per month at month 6 ( P < 0.001). Among participants reporting brain fog at baseline (93.7%), 55.8% (95% CI: 46.2–64.9%) reported improvement at month 6. Conclusion This research provides insights into capturing the broader migraine burden and the holistic impact of preventive treatment and highlights the potential for achieving ambitious goals. In this population for whom ≥1 prior CGRP-targeted preventive therapy had failed, switching to eptinezumab was associated with participant-reported, clinically meaningful improvements in PROs, including frequency, disability, disease status, and brain fog.

Abstract The use of chimeric antigen receptor (CAR) T-cell therapy is increasing for adult B-cell acute lymphoblastic leukemia (B-ALL), with 3 CD19 CAR T-cell products commercially available. Several key clinical questions related to best practices for CAR T-cell administration in this population exist, and limited prospective randomized trials have been conducted to fill these knowledge gaps. Thus, to help guide clinical practice, we conducted a modified Delphi study to develop and validate consensus recommendations on the administration of commercially available CAR T-cell therapy for adults with B-ALL. Consensus panelists (n = 9) included principal investigators (PIs) from Real World Outcomes Collaborative of CAR T-Cell Therapy in Adult ALL (ROCCA) consortium sites and were selected based on expertise and CAR T-cell center volume. Final panel consensus recommendations were distributed for rating by the remaining PIs from ROCCA consortium sites, which served as the validation group (n = 27). Consensus topics included patient selection, bridging and pre–CAR T-cell leukemia staging, lymphodepletion, and CAR T-cell treatment setting, specific toxicity prevention and management, post–CAR T-cell response assessment and disease monitoring, and the role of consolidation and/or maintenance therapies after CAR T-cell therapy. Initially, 58 recommendation statements were evaluated for consensus. After 2 panel meetings, a total of 34 statements achieved consensus rating among the expert panel. After rating by the validation group, all but 1 recommendation statement continued to meet consensus, for a total of 33 consensus recommendation statements on the administration of CAR T-cell therapy in adult B-ALL.

Abstract Rationale Thymic stromal lymphopoietin (TSLP) is an epithelial alarmin chiefly implicated in T2 airway inflammation, though it may also participate in broader (non-T2) inflammatory processes. The utility of airway epithelial gene expression of TSLP and its specific receptor subunit, cytokine receptor-like factor 2 (CRLF2), as biomarkers of downstream inflammation and clinical outcomes remains unclear. Methods We analyzed RNA sequencing data from bronchial airway brushing obtained in phase 1 of the SPIROMICS bronchoscopy sub-study (N = 161: 23 never-smokers, 67 ever-smokers with COPD, 71 ever-smokers without COPD). We related airway TSLP and CRLF2 expression to clinical, hematologic/sputum measures, and gene-expression signatures of T2/eosinophilic and neutrophilic inflammation, including to our published T2 signature and to eosinophil and neutrophil signatures derived from single-cell atlas data. Associations used Spearman correlations and linear models adjusted for age, sex, race/ethnicity, COPD status, smoking status, and pack-years. Results CRLF2 expression correlated with gene-expression evidence of both T2/eosinophilic and neutrophilic inflammation: T2 signature (ρ = 0.26, p &lt; 0.001), eosinophil signature (ρ = 0.44, p &lt; 0.001), and neutrophil signature (ρ = 0.39, p &lt; 0.001). CRLF2 was positively associated with log sputum neutrophil count (ρ = 0.24, p = 0.024) and blood neutrophil count (ρ = 0.036, p &lt; 0.001), but not with sputum or blood eosinophil counts. Higher CRLF2 related to worse baseline lung function, particularly among current smokers, (lower post-bronchodilator FEV1: ρ = −0.21, p = 0.008), as well as greater 5-year FEV1 decline across current and former smokers (ρ = −0.22, p = 0.007). Significant findings persisted after covariate adjustment. In contrast, TSLP expression, although strongly correlated with expression of the epithelial alarmin IL33 (ρ = 0.53, p &lt; 0.001), was negatively correlated with CRLF2 (ρ = −0.24, p = 0.002) and with eosinophil and neutrophil gene-expression signatures (ρ = −0.26 and −0.33, both p &lt; 0.001). TSLP expression showed no association with sputum or blood cell counts. Conclusions In bronchial epithelium from SPIROMICS, gene expression of CRLF2, but not of TSLP, tracked with downstream alarmin-relevant inflammatory programs, consistent with a regulatory role in TSLP signaling through TSLPR, as well as with clinically meaningful outcomes. CRLF2 expression was associated with evidence of both T2/eosinophilic and neutrophilic inflammation, and with lower baseline FEV1 and accelerated FEV1 decline, suggesting engagement of a broader, clinically relevant inflammatory milieu. By contrast, epithelial TSLP transcript levels mirrored IL33 gene expression but were not associated with cellular or transcriptomic inflammation. These findings position CRLF2, rather than TSLP expression itself, as a potential airway biomarker of TSLP-axis activity and disease impact with potential implications for patient stratification as well as strategic approaches for TSLP-pathway-targeted therapies. This abstract is funded by: SPIROMICS was supported by contracts from the NIH/NHLBI (HHSN268200900013C, HHSN268200900014C, HHSN268200900015C, HHSN268200900016C, HHSN268200900017C, HHSN268200900018C, HHSN268200900019C, HHSN268200900020C, 75N92024D00012), grants from the NIH/NHLBI (U01HL137880, U24HL141762, R01HL182622, R01HL144718, and R01HL093081), and supplemented by contributions made through the Foundation for the NIH and the COPD Foundation from Amgen; AstraZeneca/MedImmune; Bayer; Bellerophon Therapeutics; Boehringer-Ingelheim Pharmaceuticals, Inc.; Bristol Myers Squibb; Chiesi Farmaceutici S.p.A.; Forest Research Institute, Inc.; Genentech; GlaxoSmithKline; Grifols Therapeutics, Inc.; Ikaria, Inc.; MGC Diagnostics; Novartis Pharmaceuticals Corporation; Nycomed GmbH; Polarean; ProterixBio; Regeneron Pharmaceuticals, Inc.; Sanofi; Sunovion; Takeda Pharmaceutical Company; Theravance Biopharma; Verona; and Mylan/Viatris.

Abstract Rationale Deficiency of alpha-1 antitrypsin (AAT), the protein encoded by SERPINA1, remains the strongest genetic risk factor for COPD. Individuals heterozygote for the type Z variant, termed the PI*MZ genotype (estimated global prevalence n = 35,000,000), experience varying respiratory morbidity beyond expected from tobacco smoking alone. AAT is a pleiotropic protein which inhibits not only neutrophil elastase but also neutrophil chemotaxis mediated by leukotriene B4 (LTB4) [by antagonizing the LTB4 receptor (LTB4R)] and interleukin-8 (IL-8). Although LTB-4 and IL-8 gene variants and protein levels have independently been implicated in COPD, their potential role in PI*MZ is unknown. Methods COPDGene and SPIROMICS are observational tobacco-smoke and COPD-enriched cohort studies. Participants were phenotyped by spirometry and CT imaging, with whole genome sequencing data available via TOPMed. We analyzed participants with PI*MM (COPDGene n = 9,732; SPIROMICS n = 2,105) and PI*MZ (COPDGene n = 300; SPIROMICS n = 83). LTB-4 (ALOX5AP, LTA4H, LTB4R) and IL-8 (CXCL8, CXCR1, CXCR2) associated gene variants (exonic and intronic) with a minor allele frequency of ≥ 0.05 were extracted. We assessed statistical interactions between MZ status and chest CT outcomes or FEV1% predicted using the SPAGxECCT package with adjustment for relatedness (genetic related matrix) and ancestry (top ten PCs). Baseline protein LTB4R (SPIROMICS only) and IL-8 (both cohorts) protein levels were measured via SomaScan, and statistical interactions between MZ status and AAT concentration were explored. Models were adjusted for age, sex, BMI, smoking status, and pack-years. Given the candidate gene discovery approach, significance was defined as nominal p-value&lt;0.05 Results We identified the following number of variants in genes of the LTB-4 or IL-8 pathways: 87 shared between cohorts; 133 unique to COPDGene; 1 unique to SPIROMICS. LTB-4-related polymorphisms were associated (p &lt; 0.05) with any radiographic outcomes in 22 variants (COPDGene) vs. 23 variants (SPIROMICS), with a single overlap (rs17074984 in ALOX5AP). Two LTB-4-pathway variants were associated with FEV1% predicted in SPIROMICS (both in ALOX5AP), but none in COPDGene. AAT plasma concentrations displayed a statistically significant interaction with FEV1% predicted (p = 0.046) and PRMemphysema (p = 0.013) for LTBR4, but not for IL-8. There was not an interaction by MM/MZ status and protein levels. Conclusions Predominantly LTB-4, and not IL-8, pathway-related genetic variants and protein levels may contribute to disease heterogeneity among PI*MZ individuals. The association of circulating LTB4R protein with reduced lung function, particularly among those with low AAT levels, further suggest interactions between AAT and the leukotriene pathway in PI*MZ individuals. Thus, PI*MZ individuals may uniquely derive benefit from leukotriene-targeting pharmacotherapy. This abstract is funded by: NIH NHLBI K23HL173570

Abstract Bruton tyrosine kinase (BTK) is central to chronic lymphocytic leukemia (CLL) biology, yet the regulatory programs that depend on BTK remain poorly defined. Here, we used acute NX-5948 (Bexobrutideg)-mediated BTK degradation to define BTK-dependent regulatory circuitry in CLL. Integrating early transcriptional and chromatin responses with chromatin-state annotation, target-gene linkage, and transcription factor assignment, we resolved a chromatin-informed framework linking BTK loss to downstream gene-regulatory output. This framework is separated into two directional programs: a dominant BTK-maintained network that collapsed after BTK degradation and a smaller BTK-released network that emerged upon BTK loss. BTK-responsive elements were concentrated in promoter- and enhancer-linked chromatin compartments, consistent with a model in which BTK-dependent transcriptional output is mediated through specific active regulatory elements. Functional validation in a CLL-like cell model provided orthogonal support for the NFAT-linked component of the BTK-maintained regulatory circuitry. BTK-dependent regulon activity was associated with clinical outcome, and projection of bulk-derived programs into longitudinal single-cell RNA-seq resolved malignant CLL cells into distinct regulatory states with maintained-like and released-like features. Together, this work defines BTK-dependent regulatory programs in CLL through a chromatin-informed framework linking BTK activity to gene-regulatory output. These findings lay the foundation for understanding how BTK-dependent circuitry contributes to malignant cell-state diversity, clinical outcome, and remodeling during therapy.

Variants in the Glucokinase Regulator ( GCKR ) gene are increasingly being detected with growing applications of genomic sequencing technologies. Despite the crucial roles of the GCKR gene in energy homeostasis, the clinical applications of GCKR variants are currently limited. We observed that a large proportion of GCKR variants that are available in gnomAD database ( https://gnomad.broadinstitute.org/ ) lacked adequate evidence of pathogenicity or benign impact. We highlight the clinical need for an improved understanding of GCKR variants by presenting 2 compelling cases of unrelated families (3 individuals in total) who harbor rare GCKR variants in the context of cornea arcus and hyperlipidemia. Our observations underscore the burgeoning need for functional as well as family segregation studies to facilitate the clinical applications of GCKR variants.