Citations

Abstract Background: Chronic inflammation is implicated in ovarian carcinogenesis, but how different inflammation-related exposures individually or jointly affect histotype-specific associations remains unclear. Materials and Methods: We pooled data from 16 case-control studies in the Ovarian Cancer Association Consortium to evaluate associations of eight inflammation-related factors (anti-inflammatory: aspirin use, tubal ligation (TL); pro-inflammatory: endometriosis, obesity, lifetime ovulatory cycles (LOC), smoking, pelvic inflammatory disease (PID), polycystic ovary syndrome (PCOS)) with epithelial ovarian cancer (OvC) by histologic subtype. We examined individual associations and clustering of risk factors across histotypes and computed population attributable risk (PAR) for each factor. We assessed additive and multiplicative interactions for exposure combinations. Results: Associations with OvC risk differed by histotype (e.g., high-grade serous: aspirin: OR=0.90; 95%CI 0.82, 0.99; TL: OR=0.80; 95%CI 0.73, 0.88; overall serous: endometriosis: OR=1.17; 95%CI 1.03, 1.31; high LOC: OR=1.42; 95%CI 1.28, 1.58; obesity (low-grade serous): OR=1.50; 95%CI 1.14, 1.98). Clustering analyses showed highly correlated risk profiles in endometrioid and clear cell (r=0.91). High-grade serous and mucinous profiles were moderately correlated with endometrioid and clear cell (r=0.60) tumors. The profile for low-grade serous (r=0.36) tumors was distinct from other histotypes. PAR estimates suggested modifying aspirin use, TL, and LOCs could substantially reduce burdens of endometrioid, clear cell and mucinous tumors. Out of 28 exposure combinations tested in overall OvC and 189 by histotype, we observed 12 interactions. Not using aspirin regularly showed positive additive interactions with obesity and high LOCs, particularly in endometrioid tumors (obesity relative excess risk due to interaction (RERI)=0.74, 95%CI 0.31, 1.18; Pint=0.001 for; LOCs RERI=0.80, 95%CI 0.03, 1.56; Pint=0.04). Not using aspirin regularly also showed a positive additive interaction with endometriosis in clear cell tumors (RERI=1.77, 95%CI 0.03, 3.52; Pint=0.05). Lack of TL showed positive interactions with obesity in endometrioid (RERI=0.86, 95%CI 0.17, 1.53; Pint=0.01) and mucinous (RERI=1.10, 95%CI 0.23, 1.97; Pint=0.01) tumors, while negative additive interactions were observed for smoking and endometriosis in endometrioid tumors (RERI=-1.12, 95%CI -2.19, -0.05; Pint=0.04). A multiplicative interaction was observed between obesity and endometriosis in mucinous tumors (Pint=0.01). Conclusion: The findings suggest ovarian tumorigenesis is strongly shaped by pro- and anti-inflammatory pathways that act largely independently. Further examining these pathways may clarify the origins of histotype heterogeneity and guide prevention strategies. Citation Format: Maxwell Akonde, Britton Trabert, SHELLEY TWOROGER, Allan Jensen, Kathryn L. Terry, Joshua Sampson, Hoda Anton-Culver, David Bowtell, Elisa V. Bandera, Angela Brooks-Wilson, Andrew Berchuck, Daniel William Cramer, Linda S. Cook, Julie M. Cunningham, Jennifer A. Doherty, Ellen L. Goode, Marc T. Goodman, Holly Ruth Harris, Susanne K. Kjaer, Nhu Le, Alice Wen-Ron Lee, Francesmary Modugno, Kirsten B. Moysich, Celeste Pearce, Malcolm C. Pike, Harvey A. Risch, Mary A. Rossing, Joellen M. Schildkrau, Daniel O. Stram, Rebecca Sutphen, David Van Den Berg, Penelope M. Webb, Anna Wu, Argyrios Ziogas, Nicolas A. Wentzensen. Inflammation-related exposures and histotype- specific ovarian cancer risk in the Ovarian Cancer Association Consortium (OCAC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 6261.

Abstract Background: Immune checkpoint inhibition (ICI) in combination with chemotherapy is associated with improved outcomes in a subset of patients with triple negative breast cancer (TNBC). However, biomarkers for predicting patient response, such as PD-L1 expression, have limited predictive efficiency. Voabil et al. has shown that ex vivo cytokine profiling of live tumor tissue resections treated with αPD-1 can predict patient response to ICI (Voabil et al., Nat Med. 2021). However, this method requires large amounts of tissue to address intra-specimen tumor heterogeneity, which is not feasible with standard of care (SOC) diagnostic core needle biopsies (CNBs) for breast cancer, where tissue is scarce. We show for the first time that ex vivo cytokine profiling is possible in live tumor fragments (LTFs) generated from CNBs in breast tissue. Methods: We present a cytokine profiling platform to assess response to ICI treatment in LTFs generated from CNBs. CNBs were collected from patients who were identified as potential candidates for SOC ICI (by treating physician) and enrolled in one of two prospective observational clinical trials (NCT05520099 and NCT06349642). CNBs were cut by an automated, proprietary cutting instrument to generate LTFs ofapproximately 300 µm in thickness. To address tissue heterogeneity and mitigate tissue scarcity in CNBs, we used a sequential treatment strategy in which control and ICI treatment were applied to LTFs in the same well, in a phased approach. This strategy provides a solution for the variability observed in cross-well comparisons. LTFs were encapsulated in hydrogel and treated with IgG control followed by αPD-1 (BioXCell). Cytokine production rates were measured longitudinally using multiplex assays assessing>45 cytokines, including 15 cytokines assayed by Voabil et al., and the fold changes of cytokine production rates in response to ICI over IgG control were calculated. Results: Using non-breast tumor tissue, we validated that our platform can measure changes in cytokine production in LTFs following sequential treatment, and that these measurements are comparable to those observed in a cross-well setting. In a small cohort of TNBC specimens, we show changes in cytokine production rates in response to ex vivo sequential control and ICI treatment. Ten cytokines, including IFN-γ and CXCL10, shown to be predictive of patient response to ICI in Voabil et al. were found upregulated in response to αPD-1 in TNBC specimens. Future determination of correlation with clinical response data (pathological complete response for early stage and RECIST 1.1 for metastatic patients) gathered from NCT05520099 and NCT06349642 will be used to validate platform responders and non-responders. To date, 11 patients with confirmed TNBC diagnoses have enrolled in these clinical studies. Conclusion: We report, for the first time to our knowledge, the ability to detect immune checkpoint inhibitor responses in live TNBC tissue obtained via CNBs. This proof-of-concept lays the groundwork for integrating functional tissue responses with clinical correlation data, with important implications for guiding current ICI therapies and advancing this platform for use in next-generation immuno-oncology treatments for TNBC. Citation Format: P. P. Advani, J. Harvey, J. Polley, M. Weidner, A. Arnold, D. Haley, R. Bollam, R. Rao, S. Chumsri, K. Hugghins, M. Acampora, C. Vivelo, H. Hernan, L. Hrycyniak, J. Zweng, H. Gierman, S. Bhattacharya, D. Mukhopadhyay. Ex vivo cytokine profiling of live triple negative breast cancer patient specimens from core needle biopsies illustrates proof of concept to assess tumor response to immune checkpoint inhibition [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS4-01-08.

Abstract Background Myocardial feature-tracking (FT) strain from cardiovascular magnetic resonance (CMR) has incremental prognostic value beyond traditional imaging biomarkers. Clinical use is limited by the absence of population-specific healthy reference ranges. This study provides age-, sex-, and ethnicity-specific reference ranges for CMR-derived FT strain from the Healthy Hearts Consortium (HHC). Methods The HHC is an international collaboration comprising CMR scans from 9,088 verified healthy adults across six centres, covering the entire adult age spectrum and with diverse ethnic background. Standardised CMR acquisition protocols were used. Image analysis was performed by two experienced readers following pre-specified standard operating procedures and using two commercially available software platforms (cvi42®, Circle Cardiovascular Imaging Inc.; suiteHEART®, Neosoft LLC). The following metrics were extracted: i) global FT strain metrics from both ventricles (longitudinal, circumferential, and radial) and both atria (longitudinal); ii) strain rate; iii) Mitral/Tricuspid annular plane systolic excursion (MAPSE, TAPSE); iv) rapid strain (long-axis, junctional strain) from the left ventricle and both atria. Quality control included visual inspection of all images and the removal of biologically non-sensical values and extreme statistical outliers. Reference ranges were calculated by age group (deciles: 20-80 years), sex (male/female), and ethnicity (White, Black, Chinese, South Asian, Mixed/Other) using the 95% prediction interval method. Technical variations due to scanner vendor, software platform, and field strength (1.5T vs. 3.0T), were analysed. Results The study included 4,452 men (49%) and 4,636 women (51%). Ages ranged from 18 to 83 (mean 61±13) years. The sample included diverse ethnic backgrounds [White (81.7%), South Asian (5.6%), Mixed/Other (5.3%), Black (3.7%), and Chinese (3.7%)]. Women demonstrated significantly higher absolute strain values than men across. Absolute myocardial strain values were higher in younger age groups and lower in older age groups, most notably in left global circumferential and longitudinal strain. Ethnic differences in strain were most pronounced between White and Black as well as between White and Chinese individuals regarding left and right ventricular strain values, while left and right atrial strain values as well as rapid strain values, were similar across ethnic groups. Conclusion This study provides comprehensive, population-specific reference ranges for FT-CMR-derived myocardial strain, addressing a clinical knowledge gap. These findings inform clinical interpretation, improving diagnostic accuracy and risk stratification in different populations. This work represents a significant step towards a broader clinical implementation of myocardial strain analysis in routine cardiovascular care, ensuring more accurate classification of findings across varying demographic groups.

Abstract Introduction Cardiovascular magnetic resonance (CMR) imaging enables precise, non-invasive assessment of cardiac structure and function, yet the clinical utility of CMR metrics is limited by the lack of comprehensive, population-specific reference values. By directly reanalyzing data from a large, multi-ethnic cohort rather than relying solely on pooled literature, could enable the establishment of standardized reference ranges and severity grading thresholds. Aim To provide comprehensive, age-, sex-, and ethnicity-stratified CMR reference ranges and severity grading thresholds for key ventricular and atrial parameters. Methods We analyzed over 9,000 CMR scans from the Healthy Hearts Consortium (HHC), comprising six international cohorts. All individuals were free from overt cardiovascular disease and major comorbidities, ensuring a verified healthy sample. Two automated segmentation software solutions—cvi42 (Circle Cardiovascular Imaging) and suiteHEART (Neosoft)—were used to quantify left and right ventricular volumes, myocardial mass, and atrial volumes in standard cine stacks. All endorsed segmentation modes were applied. Quality control protocol combined expert visual review and statistical outlier analysis. We derived 95% prediction intervals (PI) to define the normal range, with additional severity thresholds for mild (95–99.73% PI), moderate (99.73–99.99% PI), and severe (>99.99% PI) deviation from the reference range. Results The final dataset comprised of 9,059 verified healthy adults aged 18–83 years (mean 61 ± 13 years), with a near-equal sex distribution (51% women). Demographics included White (81.6%), South Asian (5.6%), Mixed/Other (5.3%), Black (3.8%), and Chinese (3.7%) participants. Results demonstrated that sex, age, and ethnicity strongly influenced cardiac indices. Men had higher indexed LV and RV volumes and greater myocardial mass than women. Black participants presented the highest indexed LV myocardial mass across age groups, whereas Chinese participants had comparatively lower myocardial mass values (Figure 1). In contrast, atrial volumes remained relatively stable across age categories. Comparative analysis showed minor differences between the two software tools, particularly for atrial parameters; however, derived ejection fractions remained consistent. We established age-, sex-, and ethnicity-stratified reference ranges for key CMR parameters. To facilitate clinical interpretation, we defined severity thresholds corresponding to mild, moderate, and severe abnormalities. Conclusion This large-scale, international effort addresses prior limitations in CMR interpretation by offering robust, contemporary reference ranges and severity grading applicable to diverse populations and imaging protocols. Our severity grading thresholds support consistency in clinical reporting and decision-making, enabling clearer identification of early subclinical changes and more accurate monitoring of disease progression.Subset of CMR value ranges in females

Abstract Background Myocardial strain derived from cardiovascular magnetic resonance (CMR) using feature tracking (FT) offers incremental prognostic value beyond traditional imaging markers. However, its broader clinical application is hindered by the lack of population-specific reference ranges. This study establishes age-, sex-, and ethnicity-specific normative data for FT-CMR-derived myocardial strain metrics from the Healthy Hearts Consortium (HHC). Methods The HHC is a large, international, multicohort initiative comprising CMR data from 9,088 rigorously screened healthy adults across six centers. The cohort spans the full adult age range and includes greater ethnic diversity than any comparable dataset. CMR scans were acquired using standardized protocols. Image analysis followed pre-specified standard operating procedures and was performed by two experienced readers using two commercial platforms (CVI42®, Circle Cardiovascular Imaging; suiteHEART®, Neosoft). Metrics extracted included: (i) global longitudinal, circumferential, and radial FT strain for both ventricles and atria; (ii) strain rate; (iii) annular plane systolic excursion (MAPSE, TAPSE); and (iv) rapid strain metrics (long-axis, junctional strain) for the left ventricle and atria. Comprehensive quality control involved visual review and exclusion of biologically implausible or extreme outlier values. Reference ranges were calculated using the 95% prediction interval method, stratified by age deciles (20–80 years), sex, and ethnicity (White, Black, Chinese, South Asian, Mixed/Other). The impact of technical factors—scanner vendor, field strength (1.5T vs 3.0T), and software platform—was also assessed. Results The study included 4,452 men (49%) and 4,636 women (51%), aged 18 to 83 years (mean 61 ± 13). The cohort was ethnically diverse: White (81.7%), South Asian (5.6%), Mixed/Other (5.3%), Black (3.7%), and Chinese (3.7%). Women consistently exhibited higher absolute strain values than men. A clear age-related decline in strain was observed, particularly in left ventricular global circumferential and longitudinal strain. Ethnic differences were most pronounced between White and Black, and White and Chinese individuals for RV and LV strain metrics; in contrast, RA, LA, and rapid strain metrics showed minimal ethnic variation. Conclusion This study delivers the most comprehensive age-, sex-, and ethnicity-specific reference ranges to date for FT-CMR-derived myocardial strain. These normative values support improved clinical interpretation, aiding diagnosis and risk stratification in diverse populations. The findings mark a pivotal advancement towards the routine integration of myocardial strain assessment in cardiovascular imaging practice.

ABSTRACT Deep brain stimulation (DBS) of the anterior nucleus of the thalamus (ANT) can reduce seizures in patients with drug-resistant epilepsy. However, seizure freedom is rare, and there is no early response biomarker to predict long-term seizure suppression. To evaluate a short-term biomarker of therapeutic response to DBS, we studied 18-minute trials of ANT stimulation in patients with drug-resistant epilepsy undergoing intracranial electroencephalography. We compared a standard high-frequency periodic versus a non-periodic pulse pattern. We found that short-term ANT stimulation within the clinically used amplitude range preferentially altered the first 150 ms of anterograde ANT to anterior cingulate and superior frontal connectivity. Non-periodic ANT stimulation selectively modified early cortico-cortical evoked potentials more than periodic stimulation, and these changes were driven by the response phase. These pattern-specific changes in connectivity between the ANT and spatially restricted cortical areas suggest differing mechanisms and are a promising biomarker for patients being treated with ANT-DBS.

Abstract Aims Left ventricular hypertrophy (LVH) is a strong predictor of cardiovascular disease. We previously compared supervised machine learning techniques to classify cardiac magnetic resonance (CMR)-derived LVH using electrocardiogram (ECG) and clinical variables in 37 534 UK Biobank participants, obtaining an area under the receiving operating curve (AUROC) of 0.85, but with limited specificity and requiring external validation. In this study, we develop a deep learning (DL) model to improve classification with external evaluation in the Study of Health in Pomerania (SHIP). Methods and results We analysed 12-lead ECGs of 48 835 participants from the UK Biobank imaging study. The dataset was split into a training set (70%), validation set (15%), and test set (15%) for performance evaluation. The model architecture was a fully convolutional network, for which the input was the participants’ median ECG and clinical variables and the predicted indexed left ventricular mass (iLVM) as the output. A subsequent logistic regression model was used to recalibrate iLVM predictions. In UK Biobank, 717 (1.5%) participants had CMR-derived LVH and the AUROC for the DL model was 0.97. The ECG components most predictive of LVH were the QRS complex and ventricular rate. The DL model outperformed our supervised algorithms, previous DL modelling efforts and clinical ECG benchmarks. There was modest generalizability of the DL model to 1423 participants in SHIP (AUROC 0.78), with differences in clinical profile, ECG acquisition, and CMR labelling as important factors. Conclusion Our findings support the feasibility of scalable DL-based screening tools for the prediction of LVH from the ECG, whilst highlighting the need for model development using larger datasets with greater diversity to ensure generalizability.

Abstract Background Extensive evidence links cognition, tau, and neurodegeneration in Alzheimer's disease (AD). However, in U.S. POINTER imaging (a community‐recruited clinical trial cohort selected for high cardiovascular risk, ethnoracial diversity, and increased risk of cognitive decline and dementia) tau PET is more closely linked to cognition than in ADNI. Here, we further explore how ADNI and POINTER differ with respect to relationships between cross‐sectional AD biomarkers, cortical thickness, and different cognitive domains. Method U.S. POINTER imaging (Baseline; N = 775; 68.9±5.2 years, 62.8% female) and ADNI ( N = 405; 69.9±5.4 years, 58% female) were matched by age, sex, clinical status, and APOE4 genotype (Table 1). We examined associations between baseline AD biomarkers (Amyloid‐beta (Aβ) PET in centiloids, harmonized tau PET measures of MK6240 in POINTER and FTP in ADNI), regional cortical thickness, and verbal memory (Delayed Story Recall), executive function (Trail‐Making B), and global cognition (Preclinical Alzheimer's Cognitive Composite scores) across each cohort, controlling for age, sex, and education. Result Aβ burden in ADNI was associated with worse executive function ( p < .001) and global cognition ( p < .001) but not memory, whereas in POINTER Aβ burden was not associated with any cognitive domain (Figure 1A). Among Aβ+ individuals, tau burden was associated with poorer performance across domains in ADNI, but only with poorer verbal memory in POINTER (Figures 1B&1C). Additionally, there were stronger positive associations between cortical thickness and executive function and global cognition compared to verbal memory, particularly in ADNI Aβ+ individuals even after adjusting for entorhinal tau ( p < .01; Figure 2). Conclusion Cognitive performance was linked to all biomarkers (Aβ, tau, cortical thickness) but these associations were consistently stronger in ADNI compared to POINTER, particularly in Aβ+ individuals. The stronger thickness‐cognition relationships in ADNI were not driven by tau, indicating that there is a tau‐independent role of thickness in explaining cognition. In ADNI, there were subtle differences between cognitive domains such that executive function was more closely linked than verbal memory to Aβ and cortical thickness, whereas verbal memory was linked to tau in both cohorts. Our study highlights that frequently‐reported AD biomarker associations may be attenuated in heterogeneous, community‐recruited cohorts.

Abstract Introduction Ph-like B-ALL is a poor-risk B-ALL subtype defined by gene expression signatures that resemble the BCR::ABL1-associated transcriptional program in the absence of the BCR-ABL1 oncoprotein. Recent studies have demonstrated that up to 80% of Ph-like B-ALLs have recurrent gene fusions involving cytokine receptors or tyrosine kinases that can be identified via cytogenetics, fluorescence in situ hybridization (FISH) or RNA sequencing. However, the inability to rapidly and accurately identify these alterations in the clinical setting is a major impediment to developing therapeutic strategies that may have efficacy in this B-ALL subtype. Here we used 88 patient (pt) samples to validate a rapid, streamlined clinical WGS assay (ChromoSeq) for B-ALL and assessed the diagnostic yield for Ph-like-associated SVs in 136 pts enrolled in the Alliance A041501 clinical trial. Methods ChromoSeq is a clinical WGS assay for hematologic malignancies that uses rapid laboratory workflows and focused analysis methods to identify clinically relevant SVs, copy number alterations and gene-level mutations. We updated the ChromoSeq pipeline for use in B-ALL pts and validated it using 88 retrospective B-ALL samples (80 adult/young adult and 8 pediatric from Washington University School of Medicine and St. Louis Children's Hospital), 54 of which were analyzed via RNAseq for gene fusions and a 6-gene Ph-like B-ALL signature (CA6, SPATS2L, MUC4, JCHAIN, BMPR1B, ADGRF1, NRXN3 and CRLF2). The “ChromoSeqV2” assay was then used to analyze 136 pretreatment blood or bone marrow samples from the Alliance A041501 (trial NCT03150693). These results were compared to data from RNAseq obtained for research purposes (N=35), clinical cytogenetics (N=69) and Ph-like classification via low-density microarray (LDA) card analysis (all pts). Results ChromoSeqV2 was validated in a CLIA-licensed setting using cohort of 88 retrospective B-ALL samples, 45 of which had ICC and WHO class-defining SVs based on G-banded karyotyping, FISH or RNAseq. ChromoSeqV2 detected 100% of the non-Ph-like SVs (37/37), including BCR::ABL1 (N=20), KMT2Ar (N=9), ETV6::RUNX1 (N=3), TCF3::PBX1 (N=1), and rearrangements involving MYC (N=2) or MEF2D (N=2). Fifteen patients met criteria for Ph-like B-ALL via cytogenetics or RNAseq either due to rearrangements of CRLF2 (N=5), JAK2 (N=2) or ABL2 (N=1) or high expression of a 6-gene Ph-like signature (N=7). ChromoSeqV2 detected a Ph-like SV in 93% of these cases (14/15) with 100% specificity in samples negative by RNAseq (N=23). ChromoSeqV2 was then used to profile 136 samples from the Alliance A041501 trial, where it identified ICC and WHO class-defining SVs in 87 pts (64%; 95% CI: 55-72%), including Ph-like SVs (56/136, 41%), KMT2A rearrangements (N=5), TCF3::PBX1 (N=3) and SVs involving MYC (N=3), MEF2D (N=2), DUX4 (N=2), and ZNF384 (N=1). Ph-like SVs were dominated by CRLF2 rearrangements (N=45) and included SVs involving EPOR (N=4), JAK2 (N=3), ABL1/ABL2 (N=2) and PDGFRB (N=1). IGH was the most common CRLF2 partner (N=32), followed by P2RY8::CRLF2 (N=7) and other genes (N=5). Multiple CRLF2 SVs were detected in 4 pts, and 33% (15/45) of pts with a CRLF2 rearrangement had a co-occurring CRLF2 gene mutation. The yield of ChromoSeqV2 for SVs in pts with the Ph-like expression signature via LDA card analysis was 66% (54/82; 95% CI 55%-76%) compared to 24% (11/45; 95% CI 13%-40%) by cytogenetics when these studies were successful and 70% (12/17; 95% CI 44%-90%) vs RNAseq in pts with available data. The sensitivity of ChromoSeqV2 for Ph-like SVs identified by either cytogenetics, FISH or RNAseq was 100% (21/21; 95% CI 84%-100%) and the positive predictive value of Ph-like SVs for the Ph-like expression signature by the LDA card assay was 96% (54/56; 95% CI 88%-99%). Conclusions Genomic assessment of 136 B-ALL pts from the Alliance A041501 trial using the ChromoSeqV2 rapid clinical WGS assay was 100% sensitive for Ph-like SVs identified by other molecular methods and had a 96% PPV for the Ph-like expression signature via LDA card analysis. The diagnostic yield of SV pts with the Ph-like signature was 66% using ChromoSeqV2, which was similar to RNAseq and superior to cytogenetics. These results demonstrate that ChromoSeqV2 is an effective approach for identifying potentially targetable rearrangements in B-ALL pts suspected of having the Ph-like phenotype. Support: U10CA180821, U10CA180882; . Servier; Pfizer.

Abstract Background/rationale Primary myelofibrosis (PMF) and post-polycythemia vera/essential thrombocythemia (Post-PV/ET MF) (collectively termed MF) are chronic hematopoietic malignancies with progressive bone marrow collagen fibrosis, peripheral cytopenias, extramedullary hematopoiesis, splenomegaly, debilitating constitutional symptoms and heightened risk of transformation to acute leukemia. The only currently approved therapies for MF are JAK inhibitors (JAKi) which can provide significant improvements in splenomegaly and systemic symptoms but do not fundamentally change the pathogenesis of the disease. As a result, additional non-JAKi therapies for patients with MF after JAKi failure represent an important translational focus. Reparixin is a novel, potent and specific inhibitor of the chemokine CXCL8 (IL)-8. IL-8 is a member of a class of cytokines involved in leukocyte recruitment and activation in tissues. There are two known types of CXCL8 receptors – CXCR1 and CXCR2, which are expressed in neutrophils (Baggiolini M, Adv Immunol 1994). IL-8/CXCR1/2 signaling has been shown to be a key mediator of inflammatory signaling in MF patients. Hematopoietic stem/progenitor cells from patients with MF are enriched for a CXCL8/CXCR2 gene signature and display enhanced proliferation and fitness in response to an exogenous CXCL8 ligand in vitro. Genetic deletion or a small molecule inhibitor of CXCR2 in MF mouse adoptive transfer models ameliorates fibrosis, extends overall survival and improves hematologic parameters (Dunbar A, Blood 2023). This pre-clinical data validates targeting this pathway in clinical investigations. Study design This is an open-label, phase II study assessing the efficacy, safety, and tolerability of reparixin in patients with Dynamic International Prognostic Scoring System (DIPSS) intermediate-2, or high-risk PMF, post ET/PV MF either after prior treatment with, or those who are ineligible for treatment with a JAKi. Patients will receive oral reparixin 1200 mg three times daily on a four-week cycle for a core study period of 24 weeks. Patients who achieve at least clinical improvement (CI) or stable disease (SD) with one grade improvement in bone marrow fibrosis by International Working Group-Myeloproliferative Neoplasms Research and Treatment (IWG-MRT) criteria at the Cycle 7 response assessment may continue receiving reparixin until loss of response, disease progression, unacceptable toxicity, patients/physician withdrawal, or termination of study by sponsor. The study monitors both efficacy and toxicity using a Bayesian Optimal Phase 2 (BOP2) design. If response is observed in at least one patient out of 10 and safety is confirmed at the interim analysis, the trial will proceed to full enrollment of 26 patients. If more than three responses are observed in the total cohort, then a signal of activity is confirmed. Primary Objective: To estimate the efficacy of reparixin treatment in DIPSS intermediate-2 or high-risk subjects with PMF, post PV-MF, or post ET-MF. Secondary Objectives: To assess the efficacy of reparixin as determined by response assessment using IWG-MRT/ELN criteria at the end of Cycle 6 and Cycle 12. To assess the change in bone marrow fibrosis grade at the end of Cycle 6 and Cycle 12 with reparixin. To assess the safety of reparixin as measured by the adverse event profile of Common Terminology Criteria for Adverse Events v5.0. To assess spleen volume reduction by imaging after Cycle 6 and Cycle 12 as compared to baseline spleen volume. Key Exploratory Objectives: To evaluate changes in quality of life and patient-reported outcomes To conduct correlative studies to measure biomarkers of reparixin activity, such as Vascular Endothelial Growth Factor (VEGF) levels, bone marrow microvessel density, megakaryocyte number and peripheral blood CD34+ cell number, and patients with and without IL-8 secretion. Key inclusion criteria: Have a pathologically confirmed diagnosis of PMF, post-ET-MF, or post-PV-MF as per the WHO diagnostic criteria with intermediate-2 or higher risk disease by DIPSS Be refractory/resistant to or intolerant of/inappropriate for JAKi therapy Have adequate liver and kidney function Platelet count ≥ 25 x 109/L Bone marrow and peripheral blood blast count &lt; 10% ANC ≥ 1000 mm3. MPN Research Consortium (MPN-RC) 120 is currently enrolling patients through the MPN-RC clinical sites throughout the United States. Clinical Trial Identifier NCT05835466