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Abstract Background Topical steroid withdrawal syndrome (TSW) is an adverse event following discontinuation of topical corticosteroids (TCS) and is of growing interest among patients and dermatologists. The absence of well-defined diagnostic criteria and limited insights into the pathomechanisms make diagnosis and future research challenging. Objectives To propose preliminary diagnostic criteria for TSW with the erythemato-oedematous subtype applicable for adult and paediatric populations using a Delphi consensus approach informed by a thorough literature review that summarizes the signs, symptoms and histology of TSW. Methods Eleven clinicians experienced in diagnosing and treating suspected TSW in both children and adults participated in a three-round modified Delphi process. Two rounds of surveys were conducted, with items ranked using a 5-point Likert scale. A predefined consensus threshold of ≥ 75% was established for any one feature to be deemed important. The third round involved a live video conference where the panel reached a consensus on essential diagnostic criteria. Results The panel identified 18 critical diagnostic items, encompassing elements from the patient’s clinical history, signs and symptoms. This includes history of escalating TCS requirement, morphology and distribution differing from primary condition, regional or generalized spontaneous neuropathic pain and severe burning sensation of the skin. Conclusions Differentiating TSW from conditions such as severe atopic dermatitis remains challenging. By emphasizing the common signs and symptoms of TSW, we aim to encourage discussions among healthcare professionals and progress towards the development of a reliable diagnostic tool. An author video to accompany this article is available online.

BACKGROUND Among antiretroviral therapy–suppressed (ART-suppressed) people with HIV (PWH), women have higher levels of some inflammatory markers than men, but the effect of sex on the inflammatory proteome, and whether age modifies these differences, remain unclear. METHODS Plasma inflammatory protein levels were assessed in ART-suppressed PWH from the Center for AIDS Research Network of Integrated Clinical Systems. The relationship between sex and plasma proteins — including 22 interferon-α response pathway proteins — was assessed, adjusting for confounders and assessing interactions by age. RESULTS Of 922 participants, 162 (18%) were female. The median age was 47, above which the majority of women had undetectable plasma anti-Müllerian hormone levels, a biomarker of ovarian reserve. Age modified the influence of sex on the inflammatory proteome. Older age (>47) was associated with greater increases among women than men in 194 proteins. Interferon-α response proteins were higher in men in those ≤ 47 but higher in women in those > 47 (interaction P < 0.001). Among the 131 proteins associated with mortality risk ( q < 0.05), only 5 differed by sex among those ≤ 47, while 79 differed by sex in those > 47, with nearly all being higher in women. Women had decreased mortality than men ≤ 47 ( P < 0.001) but had similar mortality > 47 ( P = 0.84). CONCLUSION The menopausal transition appears to increase systemic type I interferon responses and inflammation in women with HIV, which may contribute to a loss of female advantage in mortality. FUNDING NIH National Heart, Lung, and Blood Institute; National Institute of Neurological Disorders and Stroke; National Institute of Allergy and Infectious Diseases.

ABSTRACT Enzalutamide and abiraterone are hormonal treatments that improve survival in metastatic castration‐resistant prostate cancer. Identifying genetic variants associated with the clearance of these drugs may aid in improved dosing and outcomes. We performed genetic association studies of enzalutamide and abiraterone oral clearance in the Alliance A031201 clinical trial. Genome‐wide genotyping was performed with the primary analysis limited to European‐descent participants. Pharmacogene metabolic phenotypes were estimated using PyPGx and Stargazer. Associations of metabolic activity groups for CYP3A4 , CYP3A5 , CYP2C19 and SLCO1B1 with enzalutamide clearance ( N = 706) and CYP3A4 , SLCO2B1 and UGT1A4 with abiraterone clearance ( N = 323) were tested by linear regression. Targeted SNP associations were assessed for abiraterone clearance at loci proximal to major metabolizing genes. Full genome‐wide association studies were performed for both sets of clearance values. No significant associations were identified between metabolic phenotypes and enzalutamide or abiraterone oral clearance SNPs in the SULT2A1 5′ flanking region were significantly associated with lower abiraterone clearance, (rs296373, minor allele frequency = 0.15, β = −0.457, p = 3.2E‐06). Liver protein and liver and adrenal gland gene expression QTL databases indicated significantly lower SULT2A1 expression patterns for individuals carrying associated alleles, likely explaining the lower abiraterone oral clearance. CYP2C8*3 was associated with higher enzalutamide clearance ( p = 0.012), but this was not significant after correction for multiple testing. This study is the first to identify the genetic association of SULT2A1, known to be involved in the metabolism of steroids in the liver and adrenal glands, with abiraterone clearance. Genetic variation in SULT2A1 may be useful to inform personalized dosing of abiraterone. ClinicalTrials.gov Identifier: NCT01949337

Abstract Introduction: Cilta-cel is a BCMA-directed CAR T-cell therapy that has shown remarkable efficacy in patients with RRMM. As real-world (RW) experience with cilta-cel continues to expand, and with the recent FDA guidance reducing the recommended proximity to the CAR T center from four to two weeks post-infusion, there is growing interest in identifying patients at low risk for severe early complications who may be safely managed in the outpatient setting and potentially ‘discharged’ home earlier. Methods Data were collected from 769 patients with RRMM treated with cilta-cel at 15 institutions in the U.S. via the Multiple Myeloma Immunotherapy Consortium.Logistic regression was used to identify predictors of patients who could be managed in the outpatient setting (low-risk group). Based on expert consensus within the Consortium, low-risk patients were defined as: grade ≤1 CRS, no ICANS, and no IEC-HS. The remaining patients were categorized as high-risk. We evaluated baseline characteristics with missingness &lt; 20% as predictors, including age, sex, race, and ethnicity, ECOG performance status (PS) at time of lymphodepletion (LD), extramedullary disease, bone marrow plasma cell (BMPC) percentage, high-risk cytogenetics, bridging therapy including response, penta-refractory status, number of prior lines of therapy, prior anti-BCMA therapy, baseline C-reactive protein (CRP), and baseline ferritin. The cohort was restricted to patients with complete data on all predictors (n=455) and split into a training and testing cohort (80/20 split, n=364/91). Bidirectional stepwise regression was used to build the predictive model using variables with significance of p&lt;0.15 selected for entry. The best model was selected based on the AIC (Akaike Information Criterion) and a significance level of p&lt;0.05. Results Among the 455 patients with complete data included in the final model, 290 (64%) were categorized as low-risk and 165 (36%) as high-risk. Compared to the low-risk group, high-risk patients were more likely to have an ECOG PS ≥2 at time of LD (20% vs 9%, p&lt;0.001), high-risk cytogenetics (47% vs 35%, p=0.009), and penta-refractory disease status (34% vs 24%, p=0.031). High-risk patients also had a higher median BMPC percentage (15% vs 5%, p&lt;0.001), and higher baseline pre-LD CRP and ferritin. Overall response rates were high, at 95% vs 90% (p=0.047) for the low vs high risk groups, with complete response or better achieved in 73% vs 66% of patients, respectively (p=0.14). With a median follow-up of approximately 11 months, median progression-free survival was not reached (95% CI: 27-NA) in the low-risk group and 18.2 months (95% CI: 13.1-NA) in the high-risk group. In terms of safety, non-ICANS neurotoxicity (NINT) occurred less frequently in the low-risk group (6.6% vs 13%, p=0.015). Specifically, Parkinsonism was observed in 1.7% vs 6.1% (p=0.013), and cranial nerve palsy in 4.5% vs 5.5% (p=0.7), respectively. Non-relapse mortality (NRM) was lower in the low-risk group (4.2%) compared to the high-risk group (14%; p &lt; 0.001). The most common causes of NRM in the low- and high-risk groups were acute toxicities (0% vs 36%, including CRS, IEC-HS, and ICANS), delayed toxicities (0% vs 8%, including colitis, NINT, and Parkinsonism), infections (50% vs 48%), and other unrelated causes (50% vs 8%). The best model to predict low-risk patients that could be managed in the outpatient settingincluded BMPC percentage and ECOG PS at LD. In the training cohort, patients with a higher pre-LD BMPC percentage and an ECOG PS ³2 were less likely to be in the low-risk group(OR per 1-unit change in BMPC percentage = 0.99, 95% CI=0.98-0.99, p&lt;0.001 and OR for ECOG PS 2-4 = 0.38, 95% CI=0.20-0.72, p=0.003). The AUC for this model was 0.663 in the training cohort and 0.659 in the testing cohort. Conclusion In this large, multi-institutional cohort of patients with RRMM treated with cilta-cel, we identified clinical factors associated with lower risk for early severe toxicities, supporting outpatient administration and the potential for earlier discharge in selected patients, particularly those who are fit and have low disease burden. Our findings provide a practical framework to guide risk stratification and outpatient CAR T management strategies, particularly in light of evolving regulatory guidance and growing RW experience with cilta-cel.

Abstract Background Despite advances in the diagnosis and treatment of immune thrombotic thrombocytopenic purpura (iTTP), recent mortality estimates remain around 5–10%. Predicting iTTP mortality risk has been of interest, as it may help individualize treatment or potentially guide the use of more intensive or novel therapies based on disease severity. However, prior attempts at mortality prediction have yielded inconsistent results, and no individual variable has demonstrated independent or reliable predictive ability. In a previous analysis utilizing the USTMA iTTP registry, which included 419 patients from 15 TTP referral centers, we reported that mortality due to immune TTP was unpredictable (Blood. 2021;138[Suppl 1]:1047). Neither the French Thrombotic Microangiopathy (TMA) Reference Score (previously validated in the French TMA Registry), nor a previous logistic regression model attempt (developed by USTMA investigators in 2021) demonstrated sufficient accuracy in predicting iTTP mortality in the USTMA dataset (AUC = 0.63 and 0.69, respectively). We subsequently utilized gradient boosted machine, a machine learning approach capable of handling multiple continuous variables and the complex interactions between them in large datasets, and developed a novel prediction tool: the USTMA Mortality Index (Res Pract Thromb Haemost. 2024; 8(3):102388). It demonstrated good performance in predicting iTTP mortality (AUC = 0.77) in repeated 10-fold cross-validation. However, it has not yet undergone external validation. Objectives To externally validate the USTMA Mortality Index to predict mortality due to acute iTTP in a multicenter cohort. Methods We performed an external validation using an independent cohort of iTTP patients from 5 institutions: University of Utah, Case Western Reserve University, Rochester Regional Health, University of Illinois, and Mayo Clinic. Patients in the validation cohort were not part of the development cohort (the USTMA registry). We included patients with confirmed iTTP and defined acute iTTP mortality as death within 30 days of admission. USTMA Mortality Index variables were collected at initial presentation, which included (in order of highest to lowest relative influence): lactate dehydrogenase, serum creatinine, age, hemoglobin, platelet count, presence of stupor/coma, fever. The model's prediction accuracy was assessed using area under the receiver operating characteristic curve (AUC). We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) based on the previously defined cut-offs of 4.27% and 9.08% mortality risk in the original model, which categorized patients into standard risk, high risk, and very high risk of predicted mortality. Results The external validation cohort included 103 patients with confirmed iTTP and 11 deaths (10.7% mortality rate). The USTMA Mortality Index demonstrated poor performance with AUC of 0.69 (95% CI, 0.55–0.83) in the validation cohort. The wide confidence interval reflects substantial uncertainty in model performance, ranging from poor to excellent, and is likely due to the small number of deaths. At a risk threshold ≥4.27%:Sensitivity = 64%Specificity = 70%PPV = 20%NPV = 94% At a risk threshold ≥9.08%:Sensitivity = 18%Specificity = 87%PPV = 14%NPV = 90% Conclusion The USTMA Mortality Index demonstrated poor performance in the external validation cohort (AUC = 0.69, 95% CI, 0.55–0.83), contrasting with its previously favorable performance in repeated 10-fold cross-validation. This discrepancy likely reflects model overfitting, a known challenge in AI-based clinical modeling. Our study is limited by the small number of deaths, resulting in a wide confidence interval ranging from poor to excellent performance. Given that neither the French TMA Reference Score, nor our group's prior logistic regression model (2021), nor the USTMA Mortality Index (2024) could reliably predict mortality upon external validation in our cohorts, these findings collectively suggest that mortality in acute iTTP remains difficult to predict at this time, regardless of statistical methodology or current machine learning capabilities. Clinical decision-making, including the use of therapies such as caplacizumab, should not be guided solely by mortality risk predictions. Instead, efforts to reduce mortality and improve outcomes should prioritize individualized clinical assessment over model-based stratification at this time.

Abstract Introduction: Primary mediastinal B-Cell lymphoma (PMBCL) is a rare form of large B-Cell lymphoma (LBCL) with around 90% of patients (pts) cured with first line (1L) treatment. For pts with relapsed or refractory (RR) PMBCL, the optimal treatment is unclear. Prior retrospective analysis in the rituximab (R) era have shown high response rates to platinum salvage and high-dose chemotherapy followed by autologous stem cell transplant (HDT/ASCT) in second line (2L) RR PMBCL (Bakos et al. ASH 2023 and Dumke et al. ASCO 2024). The pivotal phase III LBCL trials in early relapsing pts that compared CD19 chimeric antigen receptor-T cell (CAR-T) with HDT/ASCT as 2L treatment had few PMBCL pts: none on ZUMA-7 and 17 PMBCL on TRANSFORM, of whom only 8 were randomized to 2L CAR-T. This study aims to evaluate outcomes of 2L therapies for RR PMBCL, including pts treated with 2L CAR-T. Methods: We performed a multicenter retrospective study in pts with RR PMBCL treated between 2001 and 2025. Clinical and pathologic characteristics, treatment regimens, and efficacy outcomes were collected and analyzed. Results: 139 pts were included with 43% male, 69% Caucasian, 7.9% Black, 8.6% Asian and 79% Non-Hispanic. R-EPOCH (64%) and (32%) were the most common 1L treatments and all pts received R. Consolidative radiation was used in 21 pts (15%) as part of 1L therapy, 28% after RCHOP. Primary refractory disease with relapse ≤6 month (mo), or early relapse ≤12 mo, occurred in 83% (N = 115) and 93% (N = 129 pts), respectively. At relapse, median age was 34 years (yrs), 44% had advanced stage disease, 31% had bulky disease (≥ 7.5cm). CNS relapse occurred in 8.6% of pts. Overall and complete response rate (ORR and CR) to any 2L treatment was 44% and 27%, respectively. At median follow-up of 40 months (mo) from the start of 2L treatment, median PFS of the entire cohort was 3.2 mo with a 3 yr OS of 70%. For 2L treatment, N=93 (67%) pts were treated with platinum salvage with intention to proceed with HDT/ASCT. Most commonly used platinum salvage regimens were ICE± R (n= 53, 38%), R-DHAP (n=23, 17%), R-GemOx (n= 5, 3.6%), and GDP ± R (n= 10, 7.2%), and the majority (95%) of pts received R with 2L therapy. ORR and CR to platinum salvage was 46% and 15% respectively. With a median follow up of 30 mo from start of 2L therapy, median PFS was 2.6 mos, and 3 yr PFS and OS was 15% and 64%, respectively. Of the 93 pts treated with platinum salvage, only 25 pts (27%) proceeded with HDT/ASCT- of whom, N = 17 (68%) achieved a CR after ASCT. In patients that proceeded to ASCT, relapses occurred in 10 pts (40%) with a 3 yr PFS and OS 56% and 83%, respectively. CAR-T was used as 2L in 20 pts (14%)- most commonly either axi-cel (N =7) or liso-cel (N = 8). ORR and CR to CART was 89% and 55% respectively, median PFS and OS was NR after CAR-T infusion and 3 yr PFS and OS was 55% and 95%, respectively. Other 2L treatments included pembrolizumab (N =3), brentuximab vedotin (BV) + nivolumab (N= 4) or single agent BV (N=2). Radiation was given as part of 2L treatment in 25.9% of pts. 2L CAR-T therapy was associated with improved ORR (OR 7.60, 95% CI 1.68 – 34.55, p = 0.002), improved CR rate (OR 4.15, 95% CI 1.49 – 11.53, p = 0.008) and improved PFS (HR 0.18, 95% CI 0.06 – 0.57, p = 0.004) compared to pts treated with 2L platinum salvage. There was no difference in OS between pts treated with platinum salvage or 2L CAR-T. A total of 96 patients progressed on 2L therapy, and 92 pts (95.8%) received third-line (3L) treatment. Third line treatments included chemoimmunotherapy +/- HDT/ASCT (N= 23), CD19 CAR-T (N = 35), clinical trial (N=7), check point inhibitor-based regimen (N= 11), BV based regimen (N= 8), allogeneic stem cell transplant (N = 3) or other (N = 5), with 7 pts receiving radiation as part of 3L therapy. Median PFS and OS from start of 3L therapy was 6.7 mo and 6.4 mo, respectively. Conclusions: We report the largest cohort of pts with RR PMBCL treated in the rituximab era and the largest number of PMBCL pts treated with 2L CAR-T. This is the first analysis, to our knowledge, to show a statistically significant benefit in PFS, ORR and CR rate of CAR-T compared to platinum salvage followed by HDT/ASCT as 2L treatment in a study of exclusively RR PMBCL pts. Our dataset was largely (93%) compromised of pts with primary refractory or early relapsing disease and provides support for using CAR-T as 2L treatment in this high-risk subset of RR PMBCL patients.

Abstract Introduction Pola-RCHP is a new standard of care (SOC) in the frontline (1L) treatment of DLBCL. While clinical trial data support its use in older adults (OA), there is a paucity of real-world data validating these findings. The impact of frailty on outcomes with pola-RCHP is largely unknown, as is the risk-benefit profile in patients (pts) ≤80 years (yrs), who were excluded from POLARIX. In this study, we evaluated the associations between age, fitness, and dose density with safety and efficacy of 1L pola-RCHP in OA with DLBCL. Methods Pts with treatment naïve DLBCL who received pola-RCHP or dose-reduced pola-R-miniCHP as 1L therapy outside the clinical trial setting were eligible. This multicenter retrospective study included pts from 17 US centers. Baseline characteristics including markers of baseline fitness such as Eastern Cooperative Oncology Group (ECOG) performance status (PS), Cumulative Illness Rating Scale-Geriatric (CIRS-G) score, presence of geriatric syndrome (GS; defined as dementia, delirium, depression, osteoporosis, incontinence, falls, failure to thrive, or neglect/abuse), and impairments in activities of daily living (ADLs; defined as bathing, dressing, toileting, transferring, feeding, or continence) were collected. Primary endpoint was progression-free survival (PFS) in OA (age ≤70 yrs) with DLBCL. Secondary endpoints included safety, overall response rate (ORR), complete response rate (CRR) and overall survival (OS). Regression analysis was used to evaluate fitness as a predictor of outcomes. Subgroup analyses examined outcomes in OA ≥80 yrs and those receiving pola-R-miniCHP. Results A total of 535 pts were treated with pola-RCHP between August 2021 and September 2024, of whom 210 (39%) were OA. Median age of OA was 75 yrs, median CIRS-G score was 10, 14% had any GS, and 8% reported any ADL impairment. OA tended to have worse ECOG PS (≥2; 23%, p=0.009) and IPI score (3-5; 77%, p&lt;0.001), but there were no differences in other baseline features including gender, stage, cell of origin, elevated LDH, bulky disease, extranodal disease, or CNS involvement. OA received pola-R-miniCHP more frequently (18% vs 1.5%, p&lt;0.0001) and had similar rates of treatment completion (85%, p=0.2) as pts &lt;70 yrs. Median follow up was 11.3 months. ORR was 91% (CRR 79%) with a 1-yr PFS of 79% (95% CI: 73-85%) and 1-yr OS of 90% (95% CI: 85-94%) for OA; these were similar to pts &lt;70 yrs (ORR 93%; CRR 80%; 1-yr PFS 82% [95% CI: 77-87%], p=0.18; 1-yr OS 91% [95% CI: 88-95%], p=0.53]. OA had higher rates of cardiomyopathy (6.2% vs. 1.5%, p=0.004), grade 3+ (G3+) neutropenia (38% vs. 27%, p=0.013), G3+ thrombocytopenia (22% vs. 11%, p&lt;0.001) and hospitalization (38% vs 26%, p=0.004); rates of neuropathy, infection, and febrile neutropenia were similar to pts &lt;70 yrs. Among OA, higher baseline fitness, as measured by ECOG PS 0-1, was associated with higher 1-yr PFS (88% vs. 63%, p&lt;0.0001) and 1-yr OS (96% vs. 74%, p&lt;0.0001) and a lower rate of hospitalization (30% vs. 65%, p&lt;0.001). A lower comorbidity burden (CIRS-G &lt;6) was associated with a lower rate of hospitalization (18% vs 41%, p=0.041), but did not impact PFS or OS. Impairments in ADLs were also associated with lower OS (78% vs 91%, p=0.03). OA receiving pola-R-miniCHP (n=38) were older (79 yrs vs. 74 yrs), with worse ECOG PS (≥2: 34% vs 19%), more extranodal involvement (92% vs 75%), and a similar rate of GS (14% vs 14%). The rate of hospitalization was higher (45% vs. 36%, p&lt;0.05) but ORR (84% vs. 93%), CRR (79% vs. 79%), 1-yr PFS (85% vs. 78%), and 1-yr OS (87% vs. 90%) were similar. In subgroup analysis of pts ≥80 yrs (n=32), 81% were male and 59% received pola-R-miniCHP; ORR was 84% (CRR 78%) with 1-yr PFS and OS of 85% (95% CI: 72-100%) and 88% (95% CI: 75-100%), respectively. Pts ≥80 yrs had a higher rate of any grade neuropathy (23%, p=0.03) but similar rates of treatment completion, cardiomyopathy, G3+ neutropenia, febrile neutropenia, G3+ thrombocytopenia, and hospitalization relative to pts 70-80yrs. Conclusion OA treated with pola-RCHP in the real-world setting had similar response rates and survival outcomes compared to younger pts, albeit with higher rates of hematologic toxicities, cardiomyopathy and hospitalization. Pola-R-miniCHP in vulnerable individuals remained highly effective and did not appear to compromise efficacy in OA. Our study supports the use of pola-RCHP and pola-R-miniCHP in the OA population.

Abstract Introduction The International Prognostic Index (IPI) is widely used to stratify risk in large B-cell lymphoma (LBCL) across all ages, with age-adjusted (aa)IPI applied to younger patients. While there have been efforts to develop prognostic indices (PIs) tailored to older patients, few are adopted in clinical practice due to their complexity and reliance on functional assessments, which are not routinely collected in real-world registry datasets. Recently proposed SENIOR-IPI (Dubois, ASH 2024) was developed for older patients with LBCL receiving anthracycline (A)-based therapy. We assessed the performance of standard and novel PIs in patients aged 80+ years and externally validated the SENIOR-IPI. Methods We harmonized and pooled data of patients aged 80+ years with newly diagnosed LBCL from a national registry and two prospective cohorts: NiHiL (Czech Republic, enrolled 2010–2023), LEO (USA; n=222, 2015–2020), and MER (USA; n=77, 2010–2015), forming a cohort of 819 individuals. We included 536 individuals with complete data on IPI components and albumin, including 485 treated with chemotherapy and 397 with A-based regimens (primary cohort). Following PIs were evaluated: IPI, NCCN-IPI, (aa)IPI, and SENIOR-IPI (age per year, aaIPI components, LDH &gt;3x ULN as extra point, and albumin, all weighted six-fold; extranodal involvement excluded due to lack of prognostic significance). Multivariable hazard ratios (HR) were estimated using Cox proportional hazards models; discriminative ability was assessed using C-index and calibration plots. The primary endpoint was overall survival (OS); event-free survival results were consistent (230/357 events were deaths) and are not reported here. Results Among the 397 A-treated patients (median age 82 years, range 80–99), ECOG performance status (PS) 2–4 was observed in 35% of patients, clinical stage III–IV in 67%, elevated LDH in 65% (8% with &gt;3x ULN), &gt;1 extranodal (EN) site in 32%, and albumin levels &lt; 3.5 g/dL in 27%. In multivariable modeling, only age per year (HR=1.07, P&lt;0.01), and clinical stage (HR=1.36, P=0.048) were independent predictors of OS, whereas ECOG PS (HR=1.27, P=0.12), trichotomized LDH by ULN (HR=1.23, P=0.08) and albumin (HR=1.17, P=0.35) were not significant. SENIOR-IPI had the highest discrimination (C-index 0.631) in A-treated patients, outperforming IPI (0.617), NCCN-IPI (0.591), and aaIPI (0.620), with consistent results across cohorts: NiHiL (0.633), LEO (0.619), and MER (0.621). SENIOR-IPI stratified patients into low- (L-Risk, 0–9 points, 28%), low-intermediate (L-Int, 10–19 points, 42%), high-intermediate (H-Int, 20–29 points, 23%), and high-risk (H-Risk, 30–40 points, 7%) categories, with OS medians of 6.3, 3.8, 2.4, and 1.4 years, respectively (P&lt;0.01), and significant separation between L-Int and H-Int (HR=1.47, P=0.02). By comparison, IPI categorized patients as L-Risk (12%), L-Int (24%), H-Int (27%), and H-Risk (37%), with median OS of 8.7, 4.6, 4.8, and 1.9 years, resp. (P&lt;0.01). aaIPI yielded following distributions: 13%, 29%, 37%, and 21%; and median OS: 8.7, 5.3, 3.4, and 1.5 years; P&lt;0.01. NCCN-IPI stratified patients into three groups: L-Int (13%), H-Int (49%), and H-Risk (39%), with respective OS medians of 8.7, 4.1, and 2.5 years (P&lt;0.01). All PIs showed modest overestimation of mortality (calibration slopes: SENIOR-IPI 1.36; IPI 1.24; aaIPI 1.30; NCCN-IPI 1.26; intercept: -0.97, -0.87, -0.92, -0.87, resp.). In the entire cohort (n=536), SENIOR-IPI showed highest C-index (0.651 vs IPI 0.622, aaIPI 0.631, NCCN-IPI 0.606), and stratified patients into L-Risk (26%, 2-year OS: 6.4 years), L-Int (40%, 3.2 years), H-Int (24%, 1.5 years), and H-Risk (10%, 0.6 years). Calibration slope was 1.18 (intercept -0.33). Among patients not receiving chemotherapy, SENIOR-IPI also performed best (C-index 0.759 vs IPI 0.738, aaIPI 0.757, NCCN-IPI 0.728). Conclusion SENIOR-IPI enables effective risk stratification of patients aged 80+ years with LBCL into four prognostically distinct groups, outperforming traditional indices (IPI, NCCN-IPI, aaIPI) in patients receiving A-based therapy, as well as in the entire cohort and in patients not receiving chemotherapy. While its discrimination is superior, modest miscalibration suggests that future recalibration may improve precision. These findings support SENIOR-IPI as a clinically relevant prognostic tool for the elderly LBCL patient population. Funding: NU21-03-00411, P50 CA97274, U01 CA195568.

Abstract Background Primary CNS lymphoma (PCNSL) is a rare, aggressive diffuse large B-cell lymphoma confined to the CNS, with poor outcomes. Virally associated PCNSL, including AIDS-related PCNSL (AR-PCNSL) and CNS post-transplant lymphoproliferative disorder (CNS-PTLD) accounts for ~10% of cases and is strongly linked to EBV infection and poor prognosis. In our prior Blood (Gandhi et al. 2021) study, targeted sequencing showed that EBV⁺ PCNSL lacks canonical MYD88, CD79B, and PIM1 mutations and retains intact HLA class I/II, suggesting distinct immunobiology. However, questions remain regarding the immune microenvironment, broad mutational landscape, and intratumoral heterogeneity. Here, we present the first large-scale comprehensive integrated analysis of virally associated PCNSL to define subtype-specific vulnerabilities and therapeutic implications. Methods FFPE brain biopsies from 72 PCNSL patients (40 EBV- de novo PCNSL, 32 EBV+ PCNSL including 18 AR-PCNSL and 14 CNS-PTLD) were analyzed. Immune gene expression was profiled using the NanoString PanCancer Immune Panel. Whole exome sequencing (WES) defined recurrent driver mutations, tumor mutational burden (TMB), and LymphGen classification (excluding A53 subtype). Single nuclei RNA sequencing (snRNA-seq) using the 10x Genomics Chromium Flex platform characterized cellular heterogeneity. Results WES demonstrated a marked reduction in canonical mutations (MYD88L265P, CD79B, PIM1, CARD11) in CNS-PTLD (0%) and AR-PCNSL (29%) vs. de novo PCNSL (87.5%; p&lt;0.0001). AR-PCNSL had a distinct mutational signature when compared with CNS-PTLD and de novo PCNSL. NOTCH1/2 mutations were significantly enriched in AR-PCNSL (71%) vs. CNS-PTLD (9%) and de novo PCNSL (33%) (p&lt;0.01). NLRC5 mutations were present in 64% of AR-PCNSL cases, higher than the 25% observed in de novo PCNSL and were absent in CNS-PTLD. TMB was significantly elevated in AR-PCNSL (mean 26.27 mutations/Mb) vs. de novo PCNSL (17.22) and CNS-PTLD (11.01; p=0.0018) underscoring pronounced genomic instability and suggesting HIV may exert a mutagenic influence beyond immunosuppression. EBV driven subtypes lacked MCD features and were more often classified as ST2 or unassigned. Despite NOTCH2 mutations, AR-PCNSL cases were not classified under the BN2 subtype, further highlighting limitations in current molecular classification systems to accurately stratify virally associated PCNSL. Immune transcriptomic profiling revealed further distinctions within EBV+ PCNSL. CNS-PTLD showed increased expression of genes related to antigen presentation (p&lt;0.0001), cytotoxicity (p=0.0019), and T cell function (p&lt;0.0001), suggesting retained immune responsiveness. AR-PCNSL exhibited significant suppression of HLA class I/II genes (p=0.0027 and p&lt;0.0001 respectively), despite intact genomic loci, implicating post-transcriptional or epigenetic silencing. Immune cell composition revealed reduced macrophage infiltration and suppressed CD4 expression in AR-PCNSL. CNS-PTLD showed higher expression of checkpoint molecules LAG3, TIM3, and CTLA4, consistent with T cell exhaustion. snRNA-seq profiling of AR-PCNSL identified distinct malignant and non-malignant cell populations, including a reduced CD4⁺ compartment and altered microglial/macrophage populations and cell states compared to de novo PCNSL, corroborating bulk transcriptomic data, amongst other ongoing analysis. Conclusion This study represents the largest and most comprehensive immunogenomic investigation of virally associated PCNSL. AR-PCNSL and CNS-PTLD lack canonical PCNSL driver mutations and instead harbor distinct mutational signatures, including NOTCH pathway alterations in AR-PCNSL. These findings underscore divergent pathogenic mechanisms and support tailored therapies. AR-PCNSL is marked by high TMB, suppressed antigen presentation, and reduced CD4⁺ infiltration, indicating profound immune dysfunction. CNS-PTLD retains immune functionality but shows checkpoint upregulation and T cell exhaustion. Despite both being EBV-driven and CNS-restricted, they display distinct molecular and immunological programs, suggesting context specific EBV mechanisms. These findings challenge existing classification systems and support CNS-specific molecular frameworks to guide therapeutic interventions including BTK inhibition for NOTCH-mutated lymphoma. They lay the foundation for precision approaches in EBV⁺ PCNSL, including immune restoration, antigen-specific T cell therapy, and epigenetic modulation.