Citations

Abstract Accurate prediction of risk of progression from smoldering (SMM) to active multiple myeloma (MM) is paramount to individualized early therapeutic strategies with minimum risk of overtreatment. Current risk stratification models do not account for evolving biomarker trajectories. We assembled the largest cohort to date of 2,270 SMM patients from six international centers with longitudinal clinical and biological data to train and validate the PANGEA 2.0 risk models. Four evolving biomarkers were significantly associated with shorter time-to-progression: M-protein increase ≥0.2g/dL, involved:uninvolved serum free light chain ratio increase ≥20, creatinine increase >25%, and hemoglobin decrease ≥1.5g/dL. PANGEA 2.0 outperforms established models including the 20/2/20 and IMWG models by more accurately predicting progression (C-statistics=0.69–0.84), even without biomarker history (C-statistics=0.69–0.83) or recent bone marrow biopsy. PANGEA 2.0 is an easy-to-use, open-access tool (https://ghobrial.shinyapps.io/pangea_2_calculator) to improve and individualize SMM risk stratification. Validation tools are available to compare PANGEA 2.0 to established models (https://ghobrial.shinyapps.io/pangea_validation).

Abstract Introduction Limited data exist on the natural history and treatment persistence in ulcerative colitis (UC) patients on 5-aminosalicylic acid (5-ASA) in the era of biologic agents and small molecules. Methods This was a retrospective cohort study utilizing the US Collaborative Network in patients with UC who were initiated on 5-ASA between 2015 and 2019. The 1-, 3-, and 5-year incidence rates of advanced therapy use and colectomy were calculated. Predictors of advanced therapy use and colectomy within 5 years were analyzed and expressed as adjusted odds ratios (aORs) with 95% confidence intervals (CIs) after 1:1 propensity score matching (PSM). Results Among 15 177 patients in the UC 5-ASA cohort (mean age 47.2 ± 19.1 years old, 49.2% female and 70.3% White), the 1-, 3- and 5-year incidence of advanced therapy use was 5.37%, 11.56% and 15.8%, respectively. After PSM, age < 40 years old (aOR 1.93, 95% CI, 1.73-2.15), male sex (aOR 1.13, 1.02-1.25), obesity (aOR 1.18, 95% CI, 1.05-1.31), pancolitis (aOR 1.18, 95% CI, 1.03-1.36), steroid use (aOR 1.79, 95% CI, 1.53-2.09), and CRP ≥ 12 mg/L (aOR 1.39, 95% CI, 1.05-1.83) prior to 5-ASA initiation were associated with advanced therapy use within 5 years. The 1-, 3- and 5-year incidence of colectomy was 0.74%, 1.28%, and 1.64% respectively. After PSM, male sex (aOR 1.36, 95% 1.06-1.74), obesity (aOR 1.32, 95% CI, 1.02-1.69), primary sclerosing cholangitis (aOR 2.37, 95% CI, 1.11-5.06), pancolitis (aOR 1.90, 95% CI, 1.29-2.78), and steroid use (aOR 1.96, 95% CI, 1.35-2.84) were associated with colectomy within 5 years. Conclusion Our study provides updated estimates of advanced therapy utilization and colectomy as well as predictors of disease progression in patients with UC on 5-ASA in the biologic era.

e13124 Background: Bria-IMT, an allogeneic whole-cell cancer vaccine (SV-BR-1-GM), was administered w/ an anti PD1 checkpoint inhibitor (CPI) to evaluate its safety and efficacy in advanced/metastatic breast cancer (MBC). SV-BR-1-GM breast cancer cells were engineered to directly stimulate anti-tumor immunity through expression of tumor associated antigens and secretion of GM-CSF to enhance endogenous dendritic cell activation. Addition of a CPI potentiates SV-BR-1-GM action by overcoming the immune suppressive tumor microenvironment and may have a differential impact vs monotherapy SV-BR-1-GM. Methods: In this exploratory analysis of the Phase 1 + randomized Phase 2, HLA matching status was assessed to explore potential correlations w/ clinical outcomes. Pts were stratified by overall HLA match by Class I or II (0 vs ≥1 matches), formulation and MBC subtype to assess objective response rate (ORR), clinical benefit rate (CBR), progression free survival (PFS), and overall survival (OS). Partial HLA matching (≥1 Class I and ≥1 Class II allele) was also analyzed. Results: In the total pt population, the ORR was 10%, CBR 56%, PFS 3.2 months and OS 9.9 months. In those pts treated w/ the phase 3 formulation, ORR was 15%, CBR 63%, PFS 3.6 months and OS 13.4 months. Using available HLA data (n = 52), 25% had 0, 34.6% 1, 32.6% 2, and 8% ≥3 matches. While OS and PFS were greater (Undefined vs 8.5 mos ; p = .02) in pts without an HLA match compared w/ those w/ ≥1 match (see Table), ORR and CBR were similar. This was also the case for pts who had 0 HLA Class I matches vs those w/ ≥1 Class I match (15.6 vs 7.2 mos; p = .002). ORR, CBR, PFS and OS were generally similar for pts who had 0 Class II HLA matches vs those w/ ≥1 match. Pts who matched at least at 1 Class I and 1 Class II allele had a higher ORR and CBR than those who matched at a single Class I or a single Class II allele although PFS and OS were similar between the groups. Similar observations were seen for pts treated w/ the phase 3 formulation. Conclusions: Matching at Class I seemed to decrease PFS & OS, but did not have a similar effect on ORR and CBR. Both matched and non matched pts demonstrated favorable OS and response rates. These findings support further investigation into specific mechanisms and the clinical significance of HLA matching in immunotherapy response. A randomized phase 3 trial is ongoing comparing Bria-IMT vs treatment of physician's choice (NCT06072612). Clinical trial information: NCT03328026 . n (Evaluable) % of Cohort Best ORR Best CBR PFS OS Full Cohort 52 (41) 10% 56% 3.2 9.9 No Match (Overall) 13 (10) 25% 20% 60% 4.2 Undefined Any Match (Overall) 39 (31) 75% 6% 55% 3 8.5 MHC Class I No Match / Any Match 27 (20) / 25 (21) 52% / 48% 10% /10% 55% /57% 3.5 / 2.7 15.6 / 7.23 MHC Class II Any Match 27 (19) 52% 11% 63% 3.2 11.4 MHC Class I&II Match 13 (9) 25% 22% 77% 2.8 8.6 Phase 3 Formulation (N=35) 35 (27) 15% 63% 3.57 13.43 No Match (Phase 3 Formulation) 11 (9) 31% 22% 67% 5.6 Undefined MHC Class I&II Match (Phase 3 Formulation) 11 (7) 31% 29% 71% 2.7 7.23

e21573 Background: In melanoma, biomarkers such as lactate dehydrogenase (LDH), circulating tumor DNA (ctDNA), and the neutrophil-lymphocyte ratio (NLR) have been linked to disease progression. This study aims to compare survival outcomes in melanoma patients based on high versus low levels of these biomarkers, assessing their impact on survival within their respective groups. By evaluating these biomarkers, we hope to identify potential prognostic indicators that could guide treatment decisions and improve personalized care in melanoma management. Methods: We conducted a retrospective survival analysis of 43 melanoma patients, excluding 16 due to incomplete data at Dignity Health Cancer Institute in Phoenix, Arizona. Kaplan-Meier survival analysis was used to compare survival between groups with high vs low levels of biomarkers. Patients were stratified by median values for LDH, NLR, and the presence of detectable ctDNA. Patients included in the analysis were treated systemically with pembrolizumab, encorafenib/binimetinib, nivolumab, or ipilimumab/nivolumab. Survival curves were generated, and statistical significance was assessed using log-rank tests. Data was sourced from our electronic medical record and Signatera™ assay to obtain the primary endpoints. Specimens were standardized in accordance with Natera’s™ specifications. All analyses were executed in GraphPad Prism software. Results: When stratifying by ctDNA, 18 patients had undetectable ctDNA, while 9 had detectable ctDNA with an average level of 1330 (SD = 2067). The median survival for the high ctDNA group was 220 days, whereas the low ctDNA group had significantly longer survival, with only two deaths observed (p = 0.006) within the time period. For LDH, using a cutoff of 204 (IQR = 90.5), patients with high LDH had a median survival of 220 days, while those with low LDH had a significantly longer survival (p = 0.004). When comparing NLR with a cutoff at 2.94 (IQR = 3.7), no significant difference in survival was found between high and low NLR groups (p = 0.72). Conclusions: Our findings show that patients with higher levels of ctDNA and LDH have significantly shorter survival compared to those with low levels of these biomarkers. While NLR did not show a significant survival difference, the study suggests that higher ctDNA and LDH could be important markers for identifying patients at greater risk of poor outcomes. These results underscore the potential value of monitoring these biomarkers to assess disease progression and survival in melanoma patients. Further studies with larger cohorts are needed to validate these findings and refine melanoma prognostic models.

Abstract Infection is increasingly recognized as a significant cause of morbidity and mortality in patients with relapsed/refractory (R/R) large B-cell lymphoma (LBCL) receiving CD19 chimeric antigen receptor (CAR) T-cell therapy. The current study analyzed the natural history, risk factors, and outcomes of infection in 3350 patients with R/R LBCL receiving commercial CD19 CAR T-cell therapy (n = 2804 axicabtagene ciloleucel [axi-cel], n = 546 tisagenlecleucel) from December 2017 to June 2022. Infection developed in 834 patients (24.9%) within 100 days after infusion, resulting in an infection density of 0.43 per 100 patient days and a 100-day cumulative incidence of 22%. Bacterial, viral, and fungal infections were recorded in 527 (15.7%), 374 (11.2%), and 108 patients (3.2%), respectively, with corresponding infection densities of 0.23, 0.15, and 0.04 per 100 patient days. After a 24-month median follow-up, 1482 patients (44%) had died, with infection as the primary cause in 173 cases (12%). The 100-day infection-related mortality (IRM) was 1.6% (95% confidence interval, 1.2-2.0). Patients with a Karnofsky performance score of ≤80, infection history before CAR T-cell therapy, axi-cel therapy, severe cytokine release syndrome (grade ≥3), and severe immune effector cell–associated neurotoxicity syndrome (grade ≥3) had increased infection risk. Infections within 100 days were an independent risk factor for inferior overall survival beyond day 100 after CD19 CAR T-cell therapy. In conclusion, study results show a significant incidence of infection and IRM in patients with R/R LBCL treated with CD19 CAR T-cell therapy. Furthermore, results identify patients at a heightened risk of infection, offering insights to guide potential interventions aimed at mitigating infection and improving patient outcomes after CAR T-cell therapy.

ABSTRACTBackgroundIn this study, we compared outcomes of intensified myeloablative conditioning regimens using large registry data from Japan (Japanese Society for Transplantation and Cellular Therapy) and the United States (Center for International Blood and Marrow Transplant Research).MethodsAdult patients who underwent their first myeloablative allogeneic hematopoietic stem cell transplantation (HSCT) for acute leukemia in remission between 2010 and 2018 using conditioning regimens of cyclophosphamide plus total‐body irradiation (CY/TBI), CY/TBI+cytarabine (AraC), or CY/TBI+etoposide (VP16) were included.ResultsThe acute myeloid leukemia (AML) cohort (N = 480, 38.8%) indicated that overall survival (OS) was poorer in CY/TBI+AraC (hazard ratio [HR] 1.46, p < 0.001) and CY/TBI+VP16 (HR 1.39, p = 0.059) compared to CY/TBI. Relapse was not suppressed, while treatment‐related mortality (TRM) was significantly higher (HR 1.78 and 1.74, p < 0.001 and 0.018, respectively). In the acute lymphoblastic leukemia (ALL) cohort (N = 3901, 61.2%), OS was comparable among these regimens. With intensified regimens, relapse was significantly suppressed in CY/TBI+VP16 (HR 0.74, p = 0.005), while TRM was higher (HR 1.21, p = 0.077). No interactions were observed regarding the country.ConclusionIn AML adding AraC and VP16 to CY/TBI had an adverse effect on OS. Conversely, in ALL, adding VP16 or AraC to CY/TBI did not affect survival, but the addition of VP16 reduced the risk of relapse.Clinical Trial RegistrationThe authors have confirmed clinical trial registration is not needed for this submission.

526 Background: The PALLAS trial (NCT02513394) investigated the efficacy of the addition of palbociclib (palbo) to standard adjuvant endocrine therapy (ET) to reduce breast cancer recurrence. Previous analyses of this trial have not shown significant benefit of combination palbo+ET over ET alone. Given prior data showing that extent of neutropenia is associated with response to palbo and other cell cycle-specific therapies, we evaluated whether extent of neutropenia could identify responders to palbo in the adjuvant setting. Methods: PALLAS is a global, open-label, phase III trial that randomized patients (pts) with stage II-III hormone-receptor positive, HER2-negative breast cancer to receive ET for ≥5 years with or without standard-dose palbo for 2 years in 28-day cycles. The primary endpoint is invasive disease-free survival (iDFS). For this exploratory analysis, the palbo population was classified into pts with treatment-emergent high-grade neutropenia (HGN) with maximum grade ≥3 (absolute neutrophil count <1000), or low-grade/no neutropenia (LGN) with maximum grade <2; these groups were compared to each other and to the ET alone group for 5-year iDFS outcomes. Logistic regression examined individual baseline characteristics associated with HGN during the first 3 cycles within the palbo group. Impact of HGN during the first 3, 6, and 12 cycles on iDFS was tested using univariate and multivariable landmark Cox regression. Results: The safety population included 5736 pts, 2840 allocated to palbo+ET, 2896 to ET alone. Prior publications reported no new safety signals, low rates of serious infection, and no grade 5 treatment-related events. The palbo+ET group consisted of 1006 (35.4%) LGN and 1834 (64.6%) HGN. 5-year iDFS results are shown in the table. Pts who received palbo+ET and developed HGN by the end of cycle 6 had significantly improved 5-year iDFS compared to those who received ET alone (p=0.04), which remained statistically significant when adjusting for body mass index (BMI), prior chemotherapy, and race. Multivariable logistic regression showed lower BMI, prior chemotherapy, Asian race, and prior mastectomy were significantly associated with HGN (all p<0.05). Conclusions: In this exploratory analysis of the phase III PALLAS adjuvant trial, addition of palbo to ET appeared to be superior to ET alone in pts who developed HGN in the first 6 cycles of treatment but not in those who had LGN. These findings are consistent with observations in the metastatic setting suggesting that neutropenia could be a useful biomarker for palbo concentration and efficacy. Clinical trial information: NCT02513394 . Maximum grade neutropenia measured at end of cycle: 5-year iDFS Palbo+ET HGN (%) Palbo+ET LGN (%) ET alone (%) Hazard Ratio p-value 3 84.9 84.4 1.06 0.54 84.9 82.9 1.17 0.06 6 85.6 84.9 1.08 0.44 85.6 83.4 1.19 0.04 12 86.3 85.9 1.06 0.57 86.3 85.0 1.12 0.20

As artificial intelligence (AI) advances in healthcare, encompassing robust applications for the diagnosis and prognostication of musculoskeletal diseases, clinicians must increasingly understand the implications of machine learning and deep learning in their practice. This review article explores computer vision algorithms and patient-specific, multimodal prediction models; provides a simple framework to guide discussion on the limitations of AI model development; and introduces the field of generative AI.

Abstract Pulmonary large cell neuroendocrine carcinoma (LCNEC) is a rare, aggressive lung tumor marked by significant molecular heterogeneity. In a study of 590 patients across two independent cohorts, we observed comparable overall survival across treatment regimens (chemotherapy, chemoimmunotherapy, immunotherapy) without unexpected adverse events. Genomic analysis identified distinct NSCLC-like (KEAP1, KRAS, STK11 mutations) and SCLC-like (RB1, TP53 mutations) LCNEC subtypes, with 80% aligning with SCLC transcriptional profiles. Serial sampling revealed stable mutational but shifting transcriptomic landscapes over time. NSCLC-like LCNECs showed elevated FGL-1 (a LAG-3 ligand) and SPINK1 expression, while SCLC-like subtypes expressed higher levels of DLL3. Immunofluorescence confirmed FGL-1 in NSCLC-like LCNECs, and H&E slide analyses indicated fewer tumor-infiltrating lymphocytes in LCNECs versus other lung cancers. These findings highlight LCNEC’s distinct immunogenomic profile, supporting future investigations into LAG-3, SPINK1, and DLL3-targeted therapies.

Abstract: Background: Extended patch testing beyond the standard series is commonly performed in patients with allergic contact dermatitis. This broader testing allows for more precise and complete allergen identification, ultimately leading to improved clinical outcomes. Objective: To report the Mayo Clinic Contact Dermatitis Group (MCCDG) patch testing results using a custom extended series from 2010 to 2023. Methods: A retrospective review of patch testing results using the MCCDG extended standard series at the Mayo Clinic was conducted. Data from 2010 to 2023 were analyzed. Results: Patch testing with the extended standard series was performed in 3,767 unique patients, with a total of 3834 extended standard patch tests administered (81.8% in women, 18.2% in men). The top 5 allergens eliciting positive reactions were gold (I) sodium thiosulfate (10.4%), benzisothiazolinone (10.4%), carmine (9.4%), thimerosal (9.3%), and hydroperoxides of linalool (8.8%). Conclusions: The extended standard series expands the diagnostic scope for patients in whom the standard series incompletely identifies relevant allergens. Preservatives and fragrances remain among the most common sensitizers, emphasizing the need for ongoing allergen surveillance, periodic review, and updates to patch test series to enhance diagnostic accuracy and patient care.