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Introduction: Scant data exist on prognostic factors, survival and treatment (Tx)-related outcomes in SCNSL. We conducted a multicenter international analysis to identify prognostic factors and outcomes in SCNSL at diagnosis (de novo), or after frontline Tx (1L) either with (concomitant) or without (isolated) systemic (syst) relapse. Methods: This study collected data from patients (pts) treated between 2001-2023 at 35 centers. Overall (OS) and progression-free survival (PFS) were calculated from SCNSL diagnosis to first event (death for OS, relapse/death for PFS) or last follow-up. Uni- (UVA) and multivariable (MVA) Cox analyses were performed to assess prognostic factors; Kaplan-Meier method was used to estimate survival. Results: 1173 (US: 863, UK: 273, Canada: 37) pts with SCNSL were included. Baseline characteristics were median age: 62 years (interquartile range 52.5-69), male sex: 58.7%, elevated LDH: 71.1%, stage III/IV: 88.6%, HIV: 3%, transformed LBCL (tLBCL): 13.8%, non-germinal center B-cell like (non-GCB) subtype: 52.3%, double expressor (DE): 40%, MYC rearrangement (MYC-R): 28.3%, MYC/BCL2 double hit: 16.6%, MYC/BCL2/BCL6 triple hit (TH): 6.1%. Among 522 pts with de novo SCNSL, 84.2% had involvement of a single CNS compartment (44.7% brain parenchyma; 40.4% leptomeningeal [lepto]). 1L regimens included 36.2% R-CHOP with high-dose methotrexate (HD-MTX), 12.5% MARIETTA-type, and 9.8% R-CODOX-M/IVAC; 54.6% received intrathecal chemotherapy. Consolidation Thiotepa-based autologous stem cell transplant (TT-ASCT) occurred in 15.3%. The majority of pts who underwent TT-ASCT had previously achieved CR or PR in syst (92.5%) and CNS (72.5%) compartments. At median follow-up 25.7 months (mos), subsequent relapse was observed in 27.5% TT-ASCT recipients: 36.3% had isolated CNS, 27.4% syst, and 36.3% concomitant. 588 pts presented with SCNS after 1L (66.2% isolated, 33.8% concomitant). Brain parenchyma involvement was observed in 56.8%, lepto in 22.6%. Tx included 31.6% HD-MTX combination (eg, R-MPV, MTR); 18.4% HD-MTX +/- rituximab; 16.2% MARIETTA-type; and 9.4% platinum-based regimen. Consolidation TT-ASCT occurred in 22.4% (n=132), and 13.8% (n=81) received CAR-T cell therapy (excluding subsequent relapses in de novo group). Syst (65.1%) & CNS (69.1%) responses (CR/PR) were higher before TT-ASCT compared to CAR-T cell (49.5% & 54.5%, respectively). After TT-ASCT, 52 pts (39.3%) relapsed, mainly in the CNS (n=30, 57.7%), with only 4 (7.7%) concomitant. After CAR-T, 48 pts (59.3%) relapsed: 15 (31.2%) isolated in CNS and 15 (31.2%) concomitant. 12-month cumulative incidence of relapse (with death as competing risk) was 21.1% after TT-ASCT and 55.8% after CAR-T. In 63 pts (5.4%), the first CNS event occurred >2 lines of Tx. With median follow-up of the entire cohort of 24.6 mos, median PFS and OS were 11 and 21 mos, respectively. mPFS and mOS were significantly better in pts with de novo SCNSL (13.4 & 47.4 mos) compared to SCNSL after 1L (10.4 & 14.2 mos) and >2 lines of Tx (6.5 & 9.7 mos); P<0.0001. Factors associated with significantly shorter OS in UVA across all presentations were age >60, male sex, GCB subtype, MYC-R, tLBCL, DE, TH, elevated LDH, ECOG PS ≥2, SCNSL after 1L (vs. de novo), and failure to achieve syst/CNS response to 1L. Of these, age >60, male sex, MYC-R, ECOG PS ≥2, and failure to achieve response to 1L remained significant in MVA. In de novo cases, age >60, DE, ECOG PS≥2, and failure to achieve syst/CNS response to 1L were associated with poorer OS; for pts with SCNSL after 1L, age >60, GCB subtype, and ECOG PS ≥2 were significant. Pts treated with HD-MTX-based regimens after 1L experienced longer OS than those treated with platinum regimens or high-dose cytarabine. In de novo cases, TT-ASCT was significantly associated with longer OS (HR=0.58; P=0.025) in MVA after adjusting for significant factors, 1L type, and response. For SCNSL at relapse, TT-ASCT (HR=0.34; P<.0001) and isolated SCNSL presentation (vs. concomitant HR=0.70, P=0.007) were associated with longer OS, adjusting for significant factors, type of second-line Tx, & site of CNS relapse. Conclusions: This study represents the largest analysis of SCNSL inclusive of all modes of presentation. Concomitant SCNSL at relapse was associated with poor outcomes, while TT-ASCT consolidation was associated with improved OS in de novo & relapsed disease. Despite advances in LBCL SCNSL remains an unmet therapeutic need.

Introduction: Despite the success of anti-CD19 Chimeric Antigen Receptor T cells (CART19) in patients with B-cell acute lymphoblastic leukemia (B-ALL), an allogeneic haematopoietic stem cell transplantation (HSCT) might rescue patients with disease recurrence. However, in patients at high risk of relapse, indication and timing of HSCT are challenging. Whether waiting for detectable disease or proceeding to consolidative HSCT in remission, is still controversial. This GoCART Coalition registry study aimed at investigating the outcome of patients who received HSCT after CART19. Methods: We retrieved data from the EBMT registry on adults and children with B-ALL who received autologous CART19 from 2016 and 2023. Baseline, previous treatment, bridging therapy, CART19 therapy, B cell aplasia duration, outcome, disease status at follow-up were collected. Kaplan Meier estimates were used for overall survival (OS), leukemia-free survival (LFS) and non-relapse mortality (NRM) from date of HSCT, whereas cumulative incidence was used for relapse after HSCT. The relapse was defined as molecular or hematologic recurrence of the disease. Relapse and NRM were mutually competing events. Results: Of 345 patients (173 adults and 172 children) infused with CART19 (Tisagenlecleucel in 65.2%, Varnimcabtagene autoleucel 25.8%, brexucabtagene autoleucel 5.5%, and others 3.5%), 113 subsequently received an HSCT (37 adults and 76 children; median age 13.5 years, IQR 8.2-22.2) at a median of 6.2 months (3.7-11.8) after CART19 infusion. Median follow-up was 1.6 years (95%CI 1.1-1.9). Overall, 67/113 (59.3%) patients were transplant-naive (17 adults; 50 children). 78.2% received a myeloablative conditioning, 36.8% were grafted from a mismatched related donor. Most of the patients (64.2%) were transplanted in CR3 or more. Disease status at HSCT was relapsed disease for 9% of the patients, whereas among patients in CR with reported MRD 26/95 (27%) received HSCT with MRD positivity (MRD+). Among the patients with disease recurrence after CART19, 19/60 (32%) detected a CD19-negative clone. Indication for the subsequent HSCT was reported for 110 patients, as follow: (I) Rescue HSCT in 68 (62%) patients with molecular/morphological disease after CAR-T (including one patient with MDS post CAR-T); (II) Pre-emptive HSCT in 22 (20%) patients with B-cell aplasia loss with no signs of disease recurrence; (III) ConsolidativeHSCT in the 20 patients (18%) who were transplanted for the high risk of relapse, despite ongoing B cell aplasia and no disease recurrence. Median time elapsed between CART19 and HSCT was 9.5, 4.4 and 3.4 months in the three groups, respectively. The 2-yr OS was 71.1% (95%CI 59.8-79.7) and 2-yr LFS was 53.5% (41.9- 63.8), relapse incidence was 32.7% (22.4-43.5), while NRM was 11.6% (6.1-19.1). The 2-years LFS was 59.6% (45.2-71.4) vs 42% (19.2-63.4), for patients transplanted with negative or positive MRD, respectively. 5/11 patients transplanted with overt disease (including one with MDS) relapsed or died, the 6 survivors free of disease had follow-up inferior to 2 years. Children compared with adults showed better OS (76.8%, 62.1-86.4; 59.9%; 40.8-74.6; p=0.02), and better LFS (64.3%, vs. 36.4%; p= 0.02). Patients receiving a rescue HSCT for MRD+ or overt relapse had a significant lower LFS (43.6% and 33.2%), as compared to pre-emptive (77.3%) and consolidative HSCT (83.6%, p= 0.001). In univariate analysis, no significant differences in OS (74.5% vs 65.6%, p=0.32), LFS (54.3% vs 52.4%, p=0.75) and NRM (10.7% vs 12.9%, p=0.68) were reported for those patients having a previous HSCT before CART19. Conclusion: To the best of our knowledge this is the largest cohort of transplanted patients after CART19. In this “real-world” registry-based study we found that patients transplanted without disease recurrence had a better LFS, also accounting for MRD. For those who experienced molecular or overt relapse, achieving MRD negativity appeared to be relevant for a better outcome. The low NRM, with no differences between pre-transplanted and transplant naive patients, suggest that HSCT after CART19 is well tolerated, and represent a valid strategy to reduce the risk of relapse. As it remains unclear for which patients autologous CART19 cells remains a stand-alone treatment, future studies should focus on strategies for early identification of patients at higher risk of treatment failure.

Background: Erdheim-Chester disease (ECD) manifests as multi-organ infiltration of clonal histiocytes with mutations primarily in the mitogen-activated protein kinase (MAPK) pathway. The revised classification of histiocytosis (2016) categorizes ECD with typical bilateral, symmetric osteosclerosis of the lower extremity long bones as classical (C) and as non-classical (NC) if otherwise. The clinical and biological significance of this classification is unclear. This study compared the clinical and genotypic findings of the 2 subtypes within a large cohort of ECD patients. Methods: We included patients seen at our institution since 1990 meeting the following criteria: A) had an ECD diagnosis based on the revised criteria by Haroche J, et al. (Blood 2020;135:1311-1318); B) completed whole-body imaging studies including long bones of the legs. Classification as C-ECD required symmetric osteosclerosis of the distal femur and/or proximal tibia/fibula. Results: A total of 145 patients were enrolled, comprising a male-to-female ratio of 2:1 (66.2% male). C-ECD was diagnosed in 77.2% of cases, and NC-ECD in 22.8%. The median age at diagnosis was similar with 58.5 years (range, 18-82) in C-ECD and 55 years (range, 20-81) in NC-ECD, (p=0.65). The most frequently affected systems included skeletal (81.4%), renal (60.0%), vascular (45.5%), cardiac (40.0%), central nervous (38.6%), sinus (37.2%), pulmonary (36.6%), and adrenal (32.4%). The numbers of organs involved were significantly higher in C-ECD compared to NC-ECD (median 5 vs 3, p<0.01). Higher rates of skeletal (100% vs. 18.2%, p<0.01), adrenal gland (37.5% vs. 15.2%, p=0.02), and sinus (44.6% vs. 12.1%, p<0.01) involvement were observed in C-ECD. Arginine vasopressin deficiency (AVP-D) was exclusively observed in C-ECD (20.7% vs. 0%, p<0.01). NC-ECD had a higher rate of cardiac involvement (69.7% vs. 31.3%, p<0.01). No significant differences were found in other systems. The overall median time between onset of the first symptoms/signs to diagnosis was 15 months with no significant difference between C-ECD and NC-ECD (17.5 vs. 12 months, p=0.18). The median time to diagnosis of ECD in patients with AVP-D was 38.5 months, compared to 12 months without AVP-D (p=0.09). Genetic testing was conducted in 86.2% of patients and B-Raf proto-oncogene (BRAF) alterations were identified in 59.2% of the tested cases. BRAFV600E was more prevalent in C-ECD (61.3% vs. 21.9%, p<0.01), whereas non-V600 mutations were more commonly found in NC-ECD (12.5% vs. 1.1%, p<0.01). There was no significant difference in the frequency of BRAF fusions. NC-ECD patients exhibited a higher rate of MAP2K1 mutations (25.0% vs. 5.4%, p<0.01). Other frequently mutated genes included KRAS (4.0%), NRAS (2.4%), and CSF1R (2.4%), although no significant difference was observed in their frequency between C-ECD and NC-ECD. Testicular involvement appeared to be more common in patients with MAP2K1 mutations (23.1% vs. 8%, p=0.08). Two patients with pathogenic CSF1R mutations both had central nervous system (CNS) involvement. Among C-ECD patients, BRAFV600E conferred a higher rate of CNS involvement (50.9% vs. 25%, p=0.01). No significant difference was observed in NC-ECD patients (71.4% vs 36%, p=0.09). Among NC-ECD cases, MAP2K1 mutations conferred a reduced risk of cardiac involvement (37.5% vs. 79.2%, p=0.03) and no such difference was observed in patients with C-ECD (40% vs 34.1%, p=0.79). The median numbers of organs involved in patients with BRAF, MAP2K1, and KRAS/NRAS mutations were 5, 3, and 3, respectively, with no significant difference. Conclusions: C-ECD affects more organs and more frequently involves bones, adrenal glands, and sinuses. AVP-D was exclusively observed in C-ECD. Conversely, NC-ECD showed a higher prevalence of cardiac involvement. BRAFV600E was more commonly identified in C-ECD, whereas non-V600 mutations and MAP2K1 mutations were more prevalent in NC-ECD. Among C-ECD patients, BRAFV600E was correlated with a greater likelihood of CNS involvement. Conversely, NC-ECD patients with MAP2K1 mutations had a reduced risk of cardiac involvement. This study highlights the distinct clinical and molecular features of C-ECD and NC-ECD, underscoring the importance of subclassifying ECD into classical and non-classical forms. Further studies are needed to explore differences in the clinical outcomes between the 2 forms.

PURPOSE BRAF and MEK inhibitors are standard treatments in histiocytic disorders, such as Erdheim-Chester disease (ECD). Some patients lack MAPK-pathway alterations, making these treatments less effective. METHODS We describe three patients with histiocytic disorders who have novel non-MAPK pathway alterations. These alterations were studied through genomic and in silico analyses when applicable, then treated with off-label medications rationally selected on the basis of genomic alterations. RESULTS Patient 1 had rapidly progressive ECD involving the CNS. A CSF1R in-frame deletion (p.S560_P566del) was identified, and in silico modeling predicted a gain-of-function mutation. This alteration was targeted with pexidartinib, which led to a clinical complete response (CR) within 2 months, and a partial response (PR) on imaging after 3 months. After 15 months, the disease became resistant to pexidartinib and transformed to histiocytic sarcoma. Patient 2 has skin-only involvement of a xanthogranuloma disorder. A KIF5B-FGFR1 fusion was identified on RNA sequencing and targeted with pemigatinib. At 24 months of follow-up, she remains in a clinical PR. Patient 3 has ECD involving the bone marrow, gastrointestinal tract, and subcutaneous tissues. A MEF2C-FLT3 fusion was identified and targeted with sorafenib. He achieved a clinical CR and radiographic PR within 3 months, which has continued for 30 months. CONCLUSION We report three patients with histiocytic disorders harboring novel alterations who had sustained responses to off-label kinase inhibitors specific to their histiocytic disorder. Pathogenic variants outside of the MAPK pathway, including variants of unknown significant, may be targeted with readily available small molecules.

Introduction: Identifying patients at risk for ischemic events after percutaneous coronary intervention (PCI) relies on traditional analysis of limited clinical and imaging variables. Machine learning (ML) has shown promise in effectively predicting cardiovascular risk in population studies. While existing ML models mainly predict mortality and incorporate clinical variables, there is a lack of tools that have utilized genetic data and that predict ischemic events. Aims: This study aims to develop and validate a ML model incorporating genotyping and clinical data to enhance prediction of ischemic outcomes for PCI patients utilizing large prospectively derived diverse datasets. Methods: Patients from the TAILOR-PCI trial (n=5302) were utilized for model development. 50% of the sample was utilized for Boruta feature selection and 50% for training and testing using cross validation. Features included demographics, medical history, medications, PCI characteristics, and genetic data (specifically, CYP2C19 *2, *3, *17 alleles). The primary endpoint was a composite of cardiovascular death, myocardial infarction, stroke, stent thrombosis, and severe recurrent ischemia at 12 months. Multiple ML classification algorithms, including Support Vector Machine (SVM) polynomial, Random Forest, Light gradient boost, XG Boost, among others, were benchmarked for their prediction performance on rare events. The top performing classifiers were externally validated on an independent dataset from the PRECISION PCI study (n=3,745). Results: Mean participant age of the training set was 64.2 ± 11.0 years, with 75.4% being male. During follow-up of 12 months, among 4,572 patients in the entire cohort 343 (7.5%) met the primary outcome. The SVM polynomial model demonstrated the highest area under the curve (AUC) of 0.67 for predicting the primary outcome with test dataset. The sensitivity, specificity, precision, and recall were 0.87, 0.28, 0.07, and 0.87 respectively (Figure). Peripheral arterial disease, body mass index, and age were among the top variables by feature importance. Conclusion: ML models incorporating both clinical and genetic data are feasible and highly promising in predicting major adverse cardiac events that may help guide use of anti-platelet drug therapy. The AUC values are reasonable given imbalances and misclassifications in datasets, and further model optimization with prospective utilization of the model will be paramount.

Introduction: Patients with heart failure with preserved ejection fraction (HFpEF) have a high burden of comorbidities. To recognize the complex interplay of obesity, diabetes, and chronic kidney disease (CKD) in patients with cardiovascular disease, the cardiovascular-kidney-metabolic (CKM) syndrome was recently defined, but data on the burden of CKM in HFpEF is limited. Aim: We sought to describe the prevalence of CKM components in HFpEF leveraging data from control participants in clinical trials and NHANES. Methods: We analyzed data presented in publications from four randomized clinical trials that enrolled participants with HFpEF (all of which are available via NHLBI BioLINCC and will be included in the extant HeartShare dataset): TOPCAT, RELAX, NEAT-HFpEF, and INDIE. We abstracted baseline demographic and clinical variables from study publications to define CKM components (e.g., body mass index [BMI], diabetes status, hypertension, CKD status). We compared prevalence of CKM in these trials with a representative sample of US adults with self-reported history of heart failure (HF) from NHANES 2011-2018. Results: We included 1937 patients with HFpEF from four trials with enrollment between 2006-2016 and 715 adults representing 5.6 million adults aged ≥40 years with a self-report of HF between 2011-2018 from NHANES ( Table ). Mean age was similar among enrolled trial participants with HFpEF and those with HF in NHANES (~68-69 years). Mean BMI was in the obesity range and was similar among trial participants with HFpEF and HF in NHANES (31-35 kg/m 2 ). A significant proportion of individuals had hypertension in HFpEF trials (>80%) and in the NHANES sample with HF (89%). The proportion of stage ≥ 3 CKD in HFpEF trials (≥ 37%) was similar to the NHANES sample with HF (37%). Results are shown in Table . Conclusions: Patients with HFpEF enrolled in clinical trials and those with HF in general population are significantly enriched with CKM components that may contribute to morbidity and mortality. Similar prevalence estimates were observed despite variability in trial inclusion criteria and heterogeneity in defining HFpEF and highlight CKM as a central target for HFpEF management.

Abstract Glioblastoma (GBM), the most common and deadly primary brain tumor, exerts profound local and systemic immunosuppressive effects through a variety of mechanisms. Tumor-derived extracellular vesicles (EVs) are increasingly appreciated as critical mediators of these effects. In surveying the tumor-immune microenvironment in samples of ultrasonic aspirate collected during surgical resection of GBM (n=13), we identified several key immunomodulatory markers expressed across a range of myeloid cell populations. Particularly, we found TIGIT, classically understood as a T cell inhibitory protein, expressed across a range of myeloid cell populations in patient samples, including in myeloid-derived suppressor cells (MDSCs, 46.84±16.78% of total monocytic MDSCs). Using EVs collected from patient-derived cell lines, we were able to recapitulate these effects upon co-culture with monocytes derived from the peripheral blood of healthy donors (n=7). Furthermore, Induced MDSCs significantly inhibit T cells proliferation (70.97±8.454%, compared to control 19.4±5.71; p<0.03), concomitant with a surge in Th2 immune responses via TIGIT/CD155 axis. This effect was reversed after TIGIT silencing, indicating a TIGIT-dependent immune suppression in the GBM microenvironment. Our study indicates EV-induced TIGIT upregulation in myeloid cells as a crucial immunosuppressive mechanism in glioblastoma, with potential therapeutic applications.

Background: Proper diagnosis in primary care is crucial due to the large number of skin cancer diagnoses each year and its associated growing economic burden. Understanding how primary care providers can be best trained in dermoscopy is instrumental in helping primary care providers differentiate benign and malignant cutaneous lesions so that appropriate action can be taken (eg, biopsy/referral to dermatology or reassurance). Objective: To assess the success of concise dermoscopy training among primary care providers. Design: A cohort study was conducted in primary care at Mayo Clinic, Rochester, including primary care physicians, nurse practitioners, and physician assistants in internal medicine and family medicine. Diagnostic accuracy was measured on standardized testing through image-based recognition and in clinical practice through observation of referral and biopsy patterns both before and after dermoscopy education, focused on the TADA plus method. Results: Forty-three primary care providers completed the image-based recognition tests, with significant improvement in mean score measured after dermoscopy training workshop (20%). Among the thirteen primary care providers who continued to use dermoscopy in clinical practice, a significant improvement (31%) in mean clinical diagnostic accuracy was observed comparing 1 year of practice data before versus after dermoscopy training. Conclusion: Improvement in diagnostic accuracy with utilization of the TADA plus method translates into clinical practice. Therefore, training primary care providers in dermoscopy may improve the dermatologic care patients receive in primary care, especially in rural or medically underserved areas where access to dermatology is limited.