Citations

AbstractBackgroundFew normative data for computerized measures administered in unsupervised remote environments are available. We aimed to determine what variables to include in normative models for remote self‐administered assessments, develop normative data for measures administered through Mayo Test Drive (MTD, a multi‐device remote cognitive assessment platform) and evaluate application of norms.Method1240 adults ages 33‐100 (96% White) from the Mayo Clinic Study of Aging and Mayo Alzheimer’s Disease Research Center met normative sample inclusion criteria that included a concordant Cognitively Unimpaired (CU) diagnosis (3 independent raters all diagnosed CU) and CDR = 0 (see Table 1 for sample characteristics). Raw test scores were converted to normalized scaled scores. We derived regression‐based normative data that adjusted for age, age2, sex and education (base model); alternative models are also provided (age+age2+sex; age+ age2). We evaluated whether additional model terms beyond the base model were needed using an a priori cut‐off of 1% variance improvement in adjusted R2 over and above the base model. We examined rates of low test performance defined as performance below ‐1 SD in independent validation samples (n = 167 concordant CU, n = 64 mild cognitive impairment (MCI), n = 14 dementia). Rates are considered significantly different than expected when 95% confidence intervals (CIs) do not include the expected 14.7% base rate frequency.ResultNo additional potential model terms met our a priori cut‐off for inclusion beyond the base model (see Table 2), including other quadratic and cubic terms or interactions, device type, response input type, potential session interference, and national area deprivation index (ADI available in subset; N = 776). Application of norms showed expected rates of low test performance among CU participants (95% CI includes expected base rate) and significantly greater than expected rates of low test performance for all variables in MCI (e.g., 62.5% for composite) and dementia (e.g., 71.4% for composite; see Table 3).ConclusionTypical normative models appear appropriate for remote self‐administered measures and are sensitive to cognitive impairment. Device type and response input did not explain enough variance to warrant inclusion in normative models but are important for individual level interpretation. Future work will improve representation of individuals from under‐represented groups.

AbstractBackgroundFew normative data for computerized measures administered in unsupervised remote environments are available. We aimed to determine what variables to include in normative models for remote self‐administered assessments, develop normative data for measures administered through Mayo Test Drive (MTD, a multi‐device remote cognitive assessment platform) and evaluate application of norms.Method1240 adults ages 33‐100 (96% White) from the Mayo Clinic Study of Aging and Mayo Alzheimer’s Disease Research Center met normative sample inclusion criteria that included a concordant Cognitively Unimpaired (CU) diagnosis (3 independent raters all diagnosed CU) and CDR = 0 (see Table 1 for sample characteristics). Raw test scores were converted to normalized scaled scores. We derived regression‐based normative data that adjusted for age, age2, sex and education (base model); alternative models are also provided (age+age2+sex; age+ age2). We evaluated whether additional model terms beyond the base model were needed using an a priori cut‐off of 1% variance improvement in adjusted R2 over and above the base model. We examined rates of low test performance defined as performance below ‐1 SD in independent validation samples (n = 167 concordant CU, n = 64 mild cognitive impairment (MCI), n = 14 dementia). Rates are considered significantly different than expected when 95% confidence intervals (CIs) do not include the expected 14.7% base rate frequency.ResultNo additional potential model terms met our a priori cut‐off for inclusion beyond the base model (see Table 2), including other quadratic and cubic terms or interactions, device type, response input type, potential session interference, and national area deprivation index (ADI available in subset; N = 776). Application of norms showed expected rates of low test performance among CU participants (95% CI includes expected base rate) and significantly greater than expected rates of low test performance for all variables in MCI (e.g., 62.5% for composite) and dementia (e.g., 71.4% for composite; see Table 3).ConclusionTypical normative models appear appropriate for remote self‐administered measures and are sensitive to cognitive impairment. Device type and response input did not explain enough variance to warrant inclusion in normative models but are important for individual level interpretation. Future work will improve representation of individuals from under‐represented groups.

DEK::AFF2 fusion nonkeratinizing squamous cell carcinoma (NKSCC) is an emerging entity in the sinonasal tract, temporal bone, and skull base. However, the clinical behavior of these tumors has not been well studied. Here, we report the largest cohort of DEK::AFF2 carcinomas to determine if morphology, mitotic rate, and/or Ki-67 IHC are associated with patient outcomes, including a comparison with high-risk human papillomavirus (HPV)-associated and independent patients. We solicited cases of molecularly or AFF2 immunohistochemistry (IHC) proven DEK::AFF2 SCC from surgical pathologists to collect patient demographic, clinical, and outcome data. Using representative H&E slides, we characterized the morphology and counted mitoses. Ki-67 immunohistochemistry was performed. We also compared the DEK::AFF2 survival rates to those in a cohort of AFF2 IHC-negative HPV-associated and HPV-independent SCC. DEK::AFF2 carcinomas most commonly arose in the nasal cavity (13/30, 43%), and the average number of recurrences was 1.8 (range: 0 to 10). At the last follow-up, most patients were disease free (19/30, 63%) or were alive with disease (9/30, 30%). There was an average mitotic rate of 2 per 2 mm2 (range: 0 to 9) and Ki-67 proliferation rate of 26% (range: 3% to 60%). Local recurrence was common, but morphology, mitotic activity, and Ki-67 index were not associated with recurrence or survival. On Kaplan-Meier survival analysis, DEK::AFF2 patients had lower disease-free survival but otherwise had similar outcomes to conventional SCC patients. Our multi-institutional study shows that local recurrence is common in DEK::AFF2 fusion nonkeratinizing SCC patients, but patients have survival rates similar to conventional SCC. Despite showing a range of different features and proliferation rates, traditional grading by morphology, mitotic rate, and/or Ki-67 activity does not seem to be predictive of outcome.

Abstract Background The majority of patients with prostate cancer (PCa) exhibit intrinsic resistance to immune checkpoint blockade (ICB) following radiotherapy (RT). This resistance is generally attributed to the limited antigen presentation of heterogeneous cells within tumors. Here, we aimed to isolate and characterize these diverse subgroups of tumor post‐RT to understand the molecular mechanisms of their resistance to ICB. Methods Single‐cell RNA‐sequencing (scRNA‐seq) was used to profile senescent cancer cell clusters induced by RT in LNCaP cells. The expression and phosphorylation levels of ataxia telangiectasia and Rad3‐related protein (ATR) were assessed by immunohistochemistry in clinical samples from patients with or without RT. Co‐immunoprecipitation, mutagenesis, and Western blotting were used to measure the interactions between proteins. Xenograft experiments were performed to assess the tumor immune response in the mice. Results We identified a subset of PCa cells that exhibited resistance to RT, characterized by a reduced antigen presentation capability, which enhanced their ability to evade immune detection and resist cytotoxic T‐lymphocyte‐associated protein 4 (CTLA‐4) blockade. scRNA‐seq revealed that the senescent state was a transient phase of PCa cells post‐RT, particularly in CTLA‐4 blockade treatment‐resistant cells. This state was marked by increased cytosolic ATR level. Cytosolic ATR phosphorylated CD86 in its cytosolic domain and enhanced the interaction between CD86 and its E3 ligase MARCH1 through electrostatic attraction. Depletion or inhibition of Atr increased the sensitivity to immune attack and improved responses to anti‐Ctla‐4 antibody treatment in a mouse model. Conclusions Our findings indicate that the activation of cytosolic ATR, which is associated with cellular senescence, impedes the effectiveness of combined RT and ICB treatments. This discovery may provide valuable insights for improving the efficacy of combined RT and ICB therapies in PCa.

The Quantitative Imaging Biomarkers Alliance Profile for dynamic susceptibility contrast (DSC) MRI and its longitudinal claims for the precision of a DSC MRI–derived quantitative imaging biomarker to assess the relative cerebral blood volume changes in gliomas are summarized.

Introduction Induction therapy (Tx) followed by ASCT and lenalidomide (LEN) maintenance is the standard of care in transplant-eligible pts with NDMM. Pts who have suboptimal response after front-line ASCT, however, have an increased risk of progression or death. Ide-cel demonstrated significantly improved median progression-free survival (PFS) and overall response rate (ORR) vs standard regimens in KarMMa-3 in pts with early-line triple-class-exposed relapsed and refractory multiple myeloma (MM). KarMMa-2 (NCT03601078) is a multicohort, phase 2, multicenter trial evaluating the efficacy and safety of ide-cel in several MM disease settings; cohort 2c includes pts with NDMM who achieved < very good partial response (VGPR) after front-line ASCT. An extended follow-up analysis (median follow-up of 39.4 months) of cohort 2c was presented at ASH 2023 (Dhodapkar M, et al. ASH 2023; P2101). Here, we report results with 55.4 months of median follow-up and additional data on pts who received LEN maintenance at the investigator's discretion. Methods Adult pts with NDMM who received ≥ 3 cycles of induction Tx (proteasome inhibitor, immunomodulatory agent, dexamethasone), and had < VGPR 70-110 days after ASCT (single/tandem) were eligible. Pts received a single ide-cel infusion (150-450 × 106 chimeric antigen receptor-positive T cells) and could receive maintenance Tx post-infusion at investigator discretion. The primary endpoint was complete response rate (CRR); secondary endpoints included ORR, duration of response (DOR), PFS, overall survival (OS), safety, cellular kinetics, and patient-reported outcomes on health-related quality of life (HRQoL). Minimal residual disease (MRD) negativity (sensitivity, 10-5), an exploratory endpoint, is also reported. Results At data cutoff (June 28, 2024), with a median follow-up of 55.4 (range, 51.4-59.5) months, all 31 pts treated with ide-cel were alive; 28 (90.3%) remained in follow-up and 3 (9.7%) discontinued due to disease progression or withdrawal by pt. Eight pts received LEN maintenance after ide-cel at the investigator's discretion. Among all 31 ide-cel-treated pts, CRR and ORR were 80.6% and 87.1%, respectively. Among the 8 pts who received LEN maintenance, CRR and ORR were 75.0% and 100.0%, respectively. Median DOR, PFS, and OS were not reached; 36-month event-free rates were 81.5%, 76.8%, and 100.0%, respectively. Of the 8 pts who received LEN maintenance after ide-cel infusion, none experienced disease progression. At 36 months, MRD negativity was confirmed in 12/18 (66.7%) evaluable pts; all 12 achieved ≥ CR. Since last data cutoff, 1 pt with MRD-negative MM changed to MRD-positive at 36 months, and 1 pt who had previously achieved MRD negativity was indeterminate at 36 months. Among the 6 evaluable pts who received LEN maintenance, 3/6 (50.0%) achieved MRD negativity at 36 months. There were no new safety signals nor reports of parkinsonism or Guillain-Barré syndrome since the previous data cutoff. In the 8 pts who received LEN maintenance, 6 (75.0%) experienced grade 3/4 AE, most commonly neutropenia, and 1 (12.5%) experienced grade 3/4 infection on or after LEN maintenance. All 8 pts were still receiving LEN at data cutoff. Robust CAR+ T cell expansion was observed in 31 pts, with higher expansion in pts with ≥ CR vs < CR. Following ide-cel treatment, HRQoL improved and disease symptoms were stable over time (assessed by European Organization for Research and Treatment of Cancer [EORTC] Quality of Life Core Questionnaire and EORTC Quality of Life Multiple Myeloma Module 20 Questionnaire). More than 75% of pts had improved or stable global health status/QoL by month 3. Conclusions With extended follow-up, ide-cel continued to demonstrate deep, durable responses in pts with < VGPR to front-line ASCT. No new safety signals were observed and no deaths were reported. Data in a small group of pts in cohort 2c showed that ide-cel followed by LEN maintenance extended disease control. Pts who received LEN maintenance did not experience disease progression regardless of MRD status. Stable or improved HRQoL was observed after ide-cel treatment. Overall, ide-cel continued to show a favorable clinical benefit-risk profile in NDMM after ASCT. The phase 3 KarMMa-9 study (NCT06045806), currently recruiting, will compare ide-cel followed by LEN maintenance vs LEN maintenance alone in pts with NDMM after suboptimal response to ASCT.

Background: Therapy-related myeloid neoplasms (t-MN) occur after exposure to DNA-damaging agentsincluding cytotoxic chemo and radiation therapy and are associated with dismal outcomes. TP53 and PPM1D (protein phosphatase Mn2+/Mg2+-dependent 1D) mutations (MT) disrupt the DNA damage response and repair (DDR) pathway, are often co-mutated (25-35%), and although enriched in t-MN (20%), can also be seen in age-related clonal hematopoiesis (CH) (5-10%). While progressive genomic instability with biallelic inactivation has been described as a mechanism of MN progression with TP53 MT, similar mechanisms remain to be elucidated for PPM1D MT. We conducted this study to assess the clinical phenotype and outcomes of TP53 and PPM1D co-mutated (PPM1DTP53m) versus PPM1D MT and wild type TP53 (PPM1DTP53wt) CH and MN. Methods: After approval from the Mayo Clinic IRB, the CH and MN databases were queried and 119 pts with PPM1D MT (CH= 26, clonal cytopenia of unknown significance [CCUS]= 64, myelodysplastic syndrome [MDS]=16, myeloproliferative neoplasm [MPN]=8, acute myeloid leukemia [AML]= 5) were identified. We analyzed baseline characteristics, karyotypic changes, somatic mutations, and survival outcomes between the PPM1DTP53m (n= 22) and PPM1DTP53wt (n= 97) groups (gp). Results: Baseline characteristics The median age in years (yrs) was 68.5 (range [R], 43-89) and 71 (R,30-92) in the PPM1DTP53m and PPM1DTP53wt gp (p= 0.65). 22% vs 18% (p=0.78), 58% vs 32% (p=0.03), 9% vs 32% (p=0.01), 7% vs 4.5% (p=>0.99) and 3% vs 14% (p=0.07) pts met criteria for CH, CCUS, MDS, MPN and AML in the PPM1DTP53wt and PPM1DTP53m gp, respectively. Similarly, 19% vs 18% (p=>0.99), 47% vs 32% (p=0.23), 7% vs 36% (p=0.001), 2% vs 0% (p=>0.99) and 2% vs 14% (p=0.04) of pts met criteria for t-CH, t-CCUS, t-MDS, t-MPN and t-AML in the PPM1DTP53wt and PPM1DTP53m gp, respectively. All PPM1D variants were truncating, located in exon 6 of the gene, with median variant allele frequency (VAF) (8% [R,1-64] vs 5.5% [R,2-24], p= 0.10) and number of PPM1D MT (1 [R,1-5] vs 1 [R, 1-3], p=>0.99) being similar between the two gp. While proportion of pts with t-MN were similar between the two gps (77% vs 86%, p= 0.40), cytogenetic (CG) abnormalities (67% vs 31%, p= 0.006), including monosomies (28% vs 2%, p= <0.001) and complex CG (53% vs 4%, p= <0.001) were more frequent in PPM1DTP53m gp compared to PPM1DTP53wt gp, respectively. The median TP53 MT VAF was 14% (R, 1-14); 50% had multi-hit TP53 MT. Somatic mutations in PPM1D MT myeloid neoplasm with and without TP53 MT Somatic co-mutations excluding TP53 were seen in 71% of pts; 73.5% in PPM1DTP53wt and 59% in PPM1DTP53m gp (p= 0.20). Apart from CBL (0% vs 9%,p=0.03), MT involving DNMT3A (20% vs 14%, p= 0.56), TET2 (15% vs. 14%, p= >0.99), IDH1 (6% vs 19%, p= 0.07), splicing factors (8% vs 14%, p=0.08), ASXL1 (11% vs 4.5%, p=0.46), and JAK2 (9% vs 0%,p=0.20) were comparable between PPM1DTP53wt and PPM1DTP53m gps, respectively. The proportion of pts with ≥ 2 somatic co-mutations excluding TP53 MT were numerically higher in PPM1DTP53wt gp (43%) compared to PPM1DTP53m gp (23%) (p= 0.09). In the PPM1DTP53wt gp, other somatic driver mutations included RUNX1 (n= 7 [7%]; CH [n=1], CCUS [n=2], MDS [n=3], MPN [n=1]), NRAS (n=1 [1%]; CCUS), BCOR (n=1 [1%]; CCUS), and PTPN11 (n=1 [1%]; CCUS). Leukemic transformation and survival With a median follow up of 6.43 months (mo) (R, 0.23-36.4), median overall survival (mOS) in mo among high-risk MDS/AML (16.4 vs 15.0, p= 0.66) and CHIP/CCUS pts (35.79 vs 26.28, p= 0.93) was similar between PPM1DTP53wt and PPM1DTP53m gps, respectively. CHIP/CCUS pts harboring multiple vs single PPM1D MT had an inferior mOS (23.9 vs 36.7 mo, p= 0.05). Three (2.5%) MDS pts underwent AML transformation; 1 (1%) and 2 (10%) in PPM1DTP53wt and PPM1DTP53m gp, respectively (p= 0.07). Conclusions In our study, 18% of pts had concurrent TP53 and PPM1D MT (82% t-MN), with the PPM1DTP53wt genotype being more frequent in CCUS, while the PPM1DTP53m genotype was more frequent in MN. The PPM1DTP53m genotype had a higher frequency of CG abnormalities, including complex CG. Survival outcome was inferior and comparable in PPM1D MT MN with or without TP53 MT. While 73.5 % of the PPM1DTP53wt gp had somatic driver MT and 31% had karyotypic abnormalities, 22% had no additional MT or CG changes (all CH/CCUS), underscoring the need to understand how PPM1D MT contribute to hematopoietic dysfunction and MN.

Introduction Despite improvements in outcomes with triplet and quadruplet combination regimens in front-line (1L) multiple myeloma (MM) treatment (Tx), pts with disease that relapses early after 1L Tx or responds inadequately to 1L autologous stem cell transplantation (ASCT) have poor prognosis. Therefore, Txs with novel mechanisms of action are needed. Ide-cel, a BCMA-directed CAR T cell therapy, resulted in deep and durable responses in pts with functional high-risk MM. KarMMa-2 (NCT03601078) is a phase 2, multicenter, multicohort trial of ide-cel: cohort 2a includes pts who progressed ≤ 18 mo of starting 1L therapy with ASCT, cohort 2b includes pts who progressed ≤ 18 mo of starting 1L therapy without ASCT, and cohort 2c includes pts who achieved less than very good partial response ~100 d after 1L ASCT. With a median follow-up of 21.5, 30.1, and 39.4 mo, respectively, median PFS (95% CI) for cohorts 2a, 2b, and 2c was 11.4 mo (5.6-19.6), not reached (NR; 12.2-NR), and NR (38.0-NR). Previous correlative analyses of ide-cel in relapsed and refractory MM have shown that pts with lower pre-Tx tumor burden and lower pre-Tx indicators of basal inflammation had better responses. This cross-cohort analysis evaluated tumor burden, baseline inflammatory status, and T-cell quality differences to develop hypotheses for biologic features underpinning robust PFS previously observed with ide-cel. Methods Levels of soluble BCMA (sBCMA) and 25 exploratory cytokines at infusion and post-Tx were measured by immunoassay. Apheresis and drug product material were characterized by high-parameter flow cytometry and immunoassay. Pharmacokinetics (PK) were evaluated by droplet digital polymerase chain reaction. These analyses were exploratory and post hoc in nature; statistical tests were utilized to identify relationships of interest to develop working hypotheses of the underlying biology. Results Baseline tumor burden, evaluated by median sBCMA (interquartile range [IQR]), was highest in cohort 2b at 156 ng/mL (83-300) compared with 2a at 91 ng/mL (41-169) and 2c at 27 ng/mL (19-48). Pts in cohort 2b had the lowest baseline levels of a subset of inflammatory cytokines, including interferon [IFN]-γ and interleukin-4. Phenotypic data from apheresis material showed that, among the 3 cohorts, pts in cohort 2b also had the lowest amount of effector memory T cells positive for CD45RA (TEMRA; terminally differentiated T cells) and CD57+ T cells (senescent T cells), and the highest amount of CCR7+CD27+ T cells (early memory T cells). Cohorts 2a and 2c had similar phenotypic profiles in the apheresis material. Median time from ASCT to infusion (IQR) was 12.1 mo (9.7-14.3) in cohort 2a and 5.8 mo (5.2-6.2) in cohort 2c. Pts in cohort 2b also had a higher CD4:CD8 ratio in the apheresis material vs the other 2 cohorts. Profiling the drug products from pts in cohort 2b showed higher CAR+ T cell frequency and CAR-specific IFN-γ, and tumor necrosis factor-α and granzyme secretion upon stimulation vs 2a and 2c, with a consistent and comparable potency profile among all cohorts. While sBCMA level at infusion was lower in cohort 2c vs 2a, the similarity in inflammatory state and T-cell quality may reflect impacts from recent melphalan use before ASCT and bone marrow recovery after ASCT, as most pts in both cohorts were < 18 mo from ASCT. Robust cell expansion was observed across cohorts. Conclusions The encouraging median PFS outcome previously observed in cohort 2b relative to existing therapies in this high-risk pt population may be driven by the higher T-cell quality and better inflammatory state pre-Tx despite high baseline tumor burden (sBCMA). Pts in cohorts 2c and 2a had comparatively less optimal baseline immune status vs cohort 2b. The promising PFS observed in cohort 2c may be reflective of sufficient T-cell quality to drive optimal responses in the context of relatively low tumor burden at study entry. The median PFS in cohort 2a may reflect the combination of high tumor burden and less optimal baseline inflammatory status. These observations suggest a working model in which ide-cel may demonstrate robust PFS in pts with early-line, high-risk MM and high tumor burden with good baseline immune status and T-cell quality, and in pts with less favorable baseline immune status and T-cell quality when tumor burden is relatively low and stable.

INTRODUCTION Atrial fibrillation (AFib) is a recognized complication in patients with chronic lymphocytic leukemia (CLL) treated with Bruton tyrosine kinase inhibitors (BTKis). Early detection and management of AFib are critical due to its association with increased morbidity and mortality. Traditional detection methods, such as intermittent EKGs and wearable devices, often capture only brief snapshots of cardiac activity, potentially missing episodes. Recent advances in artificial intelligence (AI) have enabled the development of algorithms that analyze electrocardiograms (EKGs) to predict AFib risk. These algorithms can potentially identify patients with undetected AFib and assess risk at a single point, reducing the need for continuous monitoring. This study evaluates the utility of an AI-enabled EKG algorithm in predicting AFib in patients with CLL treated with ibrutinib and acalabrutinib. METHODS Patients with CLL treated with ibrutinib and acalabrutinib were identified from a single-center database. Patients with CLL who received BTKi therapy at Mayo Clinic between 2015 and 2024 with available EKGs in the EMR were included. Patients were excluded if they received BTKi for non-CLL indications or if patients with CLL had documented AFib without accompanying EKGs in their medical records. An AI-enabled EKG algorithm developed by Attia et al. (Lancet, 2019) was used to estimate AFib probability (AFibAI). EKGs were categorized into pre-treatment, during treatment, and post-treatment phases. Mean values of all EKGs within each phase were used for analysis to reduce heterogeneity. Paired t-test was used for continuous variables and ROC analysis was used to evaluate diagnostic performance. A p-value of <0.05 was used for statistical analysis. RESULTS The analysis included 383 individual CLL patients (74% male, median age71; ace/ethnicity not available), of which 79 were treated with acalabrutinib and 304 with ibrutinib, with a total of 5844 EKGs analyzed. The AFibAI was significantly higher in EKGs with documented AFib compared to other EKGs, mostly normal sinus rhythm (0.5710 vs. 0.1857, p <0.001). Pre-treatment AFibAI was higher in patients who ultimately developed AFib after starting BTKi treatment compared to those who did not. Mean AFibAI at baseline was 0.2176 for those who developed AFib and 0.0986 for those who did not (p <0.001; difference between means: -0.1191 +/- 0.02005, 95% CI: 0.-0.1585 - 0.0796). Differences of baseline AFibAI were similar when stratified by BTKi. Trends in AFibAI scores indicated a significant increase during and after BTKi treatment in patients who developed AFib, with mean score of 0.2176 at baseline to 0.4064 post-treatment (p<0.001). In patients who did not develop Afib during BTKi therapy, there was minimal increase of AFibAI scores from 0.1041 at baseline to 0.1620 post-treatment (p = 0.0002). The ROC analysis showed an area under the curve of 0.7280 (SE = 0.03911, 95% CI: 0.6514 to 0.8047, p <0.001), indicating fair discriminatory ability. The sensitivity at the optimal threshold (0.1202) was 65.45% and the specificity was 74.59%, with a Youden's Index of 0.4004. To achieve a sensitivity of ≥90% for detecting patients who ultimately develop AFib, a threshold of 0.2368 was established (specificity of 41.82%). DISCUSSION Our study demonstrates the efficacy of an AI-enabled EKG algorithm in estimating atrial fibrillation risk among CLL patients treated with BTKis. We demonstrated that baseline AFibAI was notably higher in patients who ultimately developed AFib, suggesting that it could potentially identify patients at elevated risk before the onset of AFib. Early identification would allow for closer monitoring and timely intervention, potentially mitigating complications. Pending validation with an external cohort, the 90% sensitivity threshold could help identify the patients at highest risk, where other treatment options could be considered. The trend across different treatment phases revealed a significant increase in scores during treatment, indicating that AFibAI is responsive to changes induced by BTKi therapy and suggest its utility for patient monitoring. Practical questions remain about its impact on clinical decision-making and management. Future prospective studies should confirm the validity of identifying high-risk patients and its role in both treatment decisions and patient outcomes.

Activating mutations in the calcium sensor STIM1 underlie Stormorken Syndrome (SS), a rare congenital disorder that causes thrombocytopenia and tubular aggregate myopathy. We recently identified two patients with SS and confirmed mutations in STIM1 (R304W and S88G), who were found to have features consistent with myelofibrosis (MF), as indicated by bone marrow biopsies demonstrating megakaryocyte hyperplasia and atypia in conjunction with marked reticulin fibrosis. The unusual MF findings in these two patients raised the hypothesis that altered calcium signaling represents a shared hallmark of congenital platelet disorders such as Stormorken Syndrome and myeloproliferative neoplasms (MPNs) including MF. Analyzing gene expression data from public datasets, we found increased expression of STIM1 in megakaryocyte progenitors and platelets, as well as CD34+ hematopoietic stem/progenitor cells (HSPCs), from MPN patients (including those with CALR or JAK2 mutations) vs healthy controls. These findings led us to hypothesize that dysregulation of STIM1 and store operated calcium entry (SOCE) signaling may contribute to altered megakaryopoiesis and development of fibrosis in both SS and MPNs. To further delineate these processes, we analyzed samples from our two SS patients, demonstrating constitutive activation of SOCE causing increased calcium flux, as well as decreased aggregation in mature platelets. We also performed transmission electron microscopy (TEM) and identified platelets with abnormal granularity in dense and alpha granules. We also performed single cell RNA-seq on SS patient peripheral blood mononuclear cells, which revealed enhanced NFkB inflammatory signaling, suggesting that altered signaling driven by STIM1 mutations may drive aberrant inflammation to contribute to MF development. To corroborate these initial observations, we identified a separate family cohort of 9 individuals in Italy with SS and confirmed STIM1 mutation (L92V). In ex vivo megakaryocytic differentiation assays, cells derived from these patients demonstrated a defect in thrombopoiesis with significantly decreased pro-platelet formation and adhesion to extracellular matrix. To further characterize the effects of the gain of function STIM1 mutations seen in our patients, we developed a novel, conditional knock-in mouse model of the heterozygous R304W mutation in the coiled coil (CC) domain of Stim1. Induction of hematopoietic-specific expression of mutant Stim1 via Vav-Cre resulted in recapitulation of hematological features of SS, including thrombocytopenia and a mild bleeding tendency, with confirmation of increased SOCE activity and calcium flux. Notably, we confirmed the development of bone marrow fibrosis, as well as findings of severe osteosclerosis, in these mice. TEM imaging confirmed that platelets from Stim1R304W/+Vav-Cre mice exhibit abnormal granularity, similar to what we observed from our SS patients. Noting that we identified increased STIM1 expression in samples from MPN patients harboring either JAK2 or CALR mutations, we further characterized the role of STIM1 in MPN disease development. NSGS mice were engrafted with CALR-mutant CD34+ cells subjected to CRISPR ablation of STIM1. Recipient mice exhibited decreased human CD45+ cell engraftment in conjunction with prolonged survival. In contrast, targeting of STIM1 in JAK2-mutant CD34+ cells led to exacerbated disease phenotypes, as manifested by enhanced human CD45+ cell engraftment, worsened splenomegaly, and early lethality. Taken together, these findings suggest a striking, differential relationship between mutant JAK2 and CALR and STIM1 activity and their relationship to MF development. Altogether, this study represents the first demonstration of MF development in patients with Stormorken Syndrome, and reveals a previously unrecognized hallmark of altered calcium signaling via aberrant STIM1 activation underlying SS and MPNs. We further demonstrate recapitulation of these hematologic features in a novel knock-in Stim1R304W/+Vav-Cre mouse model. These findings implicate an important role for STIM1and SOCE activity in MF development, and further uncover important distinctions between JAK2 vs CALR mutations and their interaction with altered STIM1 activity. These studies may contribute to the development of novel therapeutic approaches for these disorders.