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Diffuse B-cell lymphomas are the most prevalent canine hematologic malignancies, and their clinical presentation resembles that of human B-cell non-Hodgkin lymphomas (NHLs). However, a lack of a clear subtyping framework perpetuates imprecise treatment approaches that fail to address mechanisms of therapy resistance. Here, we employed deep phenotyping via serial sampling and longitudinal transcriptomics to evaluate intratumoral composition and therapy response in a 6-year-old neutered male goldendoodle with stage 5A marginal zone lymphoma (MZL). Following sequential treatment consisting of a single IV dose of oncolytic vesicular stomatitis virotherapy (VSV) and standard CHOP chemotherapy 30 days later, we performed scRNAseq on seven serial lymph node biopsies and spatial sequencing on a resection taken 10 days post-VSV treatment. B cells (>90%) comprised three transcriptionally distinct and temporally stable subpopulations, with specific copy number profiles and robust spatial organization despite disrupted lymph node architecture. Analysis across subpopulations revealed downregulation of the quiescence program including KLF2, suggesting similarity to KLF2-deficient human MZL. While VSV successfully reached target B cells, downstream transcriptional responses were predominantly localized to the T-cell compartment. T cells (≤6%) showed increased proliferation and upregulation of cytotoxicity markers post-VSV administration, enriching for leukocyte-mediated cytotoxicity pathways consistent with an anti-viral immune response. Ultimately, these results provide an in vivo proof-of-concept for the treatment paradigm in canine lymphoma, while emphasizing the need for improved subtyping frameworks and multidimensional treatment strategies targeting intratumoral heterogeneity.

ABSTRACT Many real‐world patients with advanced biliary tract cancer (BTC) are excluded by TOPAZ‐1 criteria; this study assessed cisplatin and gemcitabine plus durvalumab (CGD) efficacy and safety in these patients. Data from 1358 patients with advanced BTC treated with first‐line CGD across 55 international centers were retrospectively analyzed. Patients were classified as TOPAZ‐1‐in (meeting all inclusion criteria) or TOPAZ‐1‐out (meeting ≥ 1 exclusion criterion). Primary endpoints were overall survival (OS) and progression‐free survival (PFS); secondary endpoints included objective response rate (ORR), disease control rate (DCR), and safety. Furthermore, OS and PFS of the TOPAZ‐1‐out cohort were compared with reconstructed survival data from the phase III trial. 912 (67.1%) patients were classified as TOPAZ‐1‐in , and 446 (32.9%) as TOPAZ‐1‐out . After a median follow‐up of 14.5 months (95% CI: 13.7–36.5), OS was 16.1 months in TOPAZ‐1‐in and 12.5 months in TOPAZ‐1‐out (HR 0.69, 95% CI: 14.6–16.5, p = 0.0001); PFS was 8.2 versus 6.5 months (HR 0.73, 95% CI: 7.1–8.1, p < 0.0001). Median OS in the TOPAZ‐1‐out cohort (12.5 months) was nearly identical to the phase III trial experimental arm (12.9 months; HR 1.15, p = 0.13); for PFS the HR was 1.12 (95% CI 0.93–1.42; p = 0.09). Among TOPAZ‐1‐out patients, active infection, elevated bilirubin, and ECOG PS > 1 were linked to poorer OS, while no detrimental impact emerged for ALT/AST abnormalities, corticosteroid use, renal or hematologic parameters, or prior surgery within 6 months, suggesting treatment effectiveness was broadly maintained across clinical subgroups. Furthermore, TOPAZ‐1‐out patients experienced no significant increase in adverse events compared with the TOPAZ‐1‐in group. Real‐world data suggest CGD may be effective in TOPAZ‐1‐out patients, with no evident increase in toxicity, supporting the potential expanded use of the regimen in clinical practice.

ABSTRACT Surgery after response to first‐line chemoimmunotherapy may offer a potential curative option for patients with locally advanced biliary tract cancer (BTC) initially considered unresectable. However, robust real‐world evidence in this setting remains limited. We retrospectively analyzed patients with locally advanced BTC treated with first‐line cisplatin, gemcitabine, and durvalumab (CGD) across 55 centers in 12 countries. Endpoints included overall survival (OS), progression‐free survival (PFS), disease‐free survival (DFS) among resected patients, objective response rate (ORR), and the prognostic impact of surgery. A multivariable logistic regression model was developed to predict surgical conversion using baseline clinical and laboratory variables. Among 1358 screened patients, 219 had locally advanced disease and were included in the analysis. Median follow‐up was 14.5 months. ORR was 34.6%, with median PFS and OS of 10.0 and 20.7 months, respectively. Twenty‐four patients (10.9%) underwent surgical resection after systemic therapy. Median OS was 22.5 months in resected patients versus 19.9 months in those who did not undergo surgery. Median DFS after resection was 15.8 months. Pathological lymph node involvement was independently associated with shorter DFS. Larger baseline tumor size correlated with higher odds of radiological response but not with OS. An exploratory elastic‐net model retained four baseline variables and showed moderate discriminative ability for surgical conversion, with an apparent AUC of 0.72 and an optimism‐corrected AUC of 0.65. First‐line CGD enabled secondary resection in approximately 11% of patients with locally advanced BTC. A simple baseline model may support patient selection for conversion surgery, although prospective validation is needed.

Abstract Rationale This Registry was designed to prospectively evaluate the efficacy of extracorporeal photopheresis (ECP) to arrest the rate of FEV1 decline (FEV1 decline) and prolong survival in lung allograft recipients with Bronchiolitis Obliterans refractory to standard of care therapy. Methods After IRB approval, 258 lung transplant recipients were enrolled from 20 US lung transplant centers. Subjects were assigned to ECP treatment (ECPRx) (i.e., 24 procedures over 6 months) at or a few months after enrollment based on spirometric criteria. Maintenance ECPRx (mECP) was at the discretion of managing clinicians. Rate of FEV1 decline in mL/month (FEV1 decline) was compared between 6 months prior to and 6 & 12 months after ECPRx initiation using linear mixed effects models. Time 0 for survival was set as the start of ECPRx for generation of Kaplan-Meier curves. Hazard Ratios (HR) with 95% confidence intervals (lower-upper) were generated using Cox Proportional Hazards Regression to characterize significant (p &lt; 0.05) independent associations of mECP and/or any other covariates (i.e., demographic, operative, enrollment site, spirometric ) and survival. Results An 89% (78%-96%) decrease in the FEV1 decline was observed 12 months after ECPRx initiation in 191 participants assigned to ECPRx. FEV1 decline (-164 mL/month: 144-185) was greater (p &lt; 0.001) in participants who expired within six months of Time 0 (n = 28) vs participants (-111 mL/month: 101-120) who died six months after Time 0 (n = 77). Of 159 participants who survived for at least six months after ECPRx initiation, 40 participants without mECP, who had up to 24 ECPRx (ECPRx: n = 19), had a lower survival HR: 2.43(1.75-3.4) (p &lt; 0.001) relative to 119 participants who received mECP (ECPRx: n = 86)(see Figure). The response to ECPRx (% Change in FEV1 decline prior to and 6 months after 1st ECP) was similar between subcohorts (No mECP: -81 decrease vs mECP: -85%, p = 0.3). The association of mECP persisted after multivariate adjustment HR 1.8 (1.8-2.7)(p = 0.002) using significant covariates: FEV1 HR 0.37 (0.3-0.5), FEV1 decline HR 0.001 (0.001-0.04), Male Gender HR 2.4 (1.7-3.4); Reflux Disease HR 1.8 (1.2-2.8); Coronary Disease HR 1.8 (1.2-2.7). Conclusions This analysis indicates that mECP is independently associated with enhanced survival most likely due to attenuation of relapse six months after ECP initiation based on similar initial response to ECPRx. A risk-adjusted, control cohort is being pursued to facilitate submission of a scientifically rigorous petition to CMS to expand the ECP National Coverage Decision to include BOS predicated on CMS 2024 scientific guidelines. This abstract is funded by: Therakos Inc

PURPOSE Integrating external control data into clinical trial designs and analyses has the potential to accelerate drug development processes. We reanalyzed the three experimental arms of the Individual Screening Trial of Innovative Glioblastoma Therapy (INSIGhT), a randomized phase II platform trial in newly diagnosed O 6 -methylguanine-DNA methyltransferase-unmethylated glioblastoma (ClinicalTrials.gov identifier: NCT02977780 ). To evaluate the validity of using external data sets, we compared treatment effect estimates based on internal INSIGhT control data and matched external control data. METHODS The three experimental arms of INSIGhT (abemaciclib [n = 72], neratinib [n = 80], and CC-115 [n = 12]) did not improve survival compared with internal controls (standard chemoradiation [n = 70]). We derived external control patient-level data from multiple real-world and clinical trial data sets. We applied propensity score matching and Cox proportional hazards models to estimate treatment effects with external controls. Additionally, using this glioblastoma (GBM) data collection, we specified simulation scenarios to evaluate trial designs that integrate external controls. RESULTS After matching to external controls, no survival benefit was observed for patients receiving abemaciclib (hazard ratio [HR], 1.00 [95% CI, 0.75 to 1.34]), neratinib (HR, 0.93 [95% CI, 0.70 to 1.24]), or CC-115 (HR, 0.88 [95% CI, 0.41 to 1.88]). Simulations, together with the INSIGhT data and a collection of GBM data sets, allowed us to examine efficiencies and risks of clinical trial designs that leverage external control data. CONCLUSION The use of carefully matched external controls, to replace or augment the internal controls of INSIGhT, produced treatment effect estimates that were similar to previously published analyses. Single-arm trial designs and hybrid randomized designs incorporating propensity score–matched external control data evaluated treatment effects in the early-phase testing of experimental therapies in newly diagnosed GBM. The validity of this approach and risks of bias depended on the availability of comprehensive and accurate data on all potential confounders, in the absence of unmeasured confounding.

PURPOSE GBM AGILE (ClinicalTrials.gov identifier: NCT03970447 ) is a phase II/III Bayesian adaptive platform registration trial testing multiple arms against a common control; the primary end point is overall survival (OS). Regorafenib, a multikinase inhibitor, showed OS benefit in recurrent (RD) glioblastoma in the phase II REGOMA trial and entered GBM AGILE as the first investigational arm. METHODS Patient subtypes included in the regorafenib arm of GBM AGILE were newly diagnosed unmethylated (NDU) and RD glioblastoma. Prospective defined sets of subtypes, or arm signatures, were NDU, RD, and all (NDU + RD). As the first investigational arm in GBM AGILE, regorafenib was equally randomized to the control arm. Treatment in the control arm is temozolomide + radiotherapy (in newly diagnosed) or lomustine (in RD). Efficacy was assessed by OS hazard ratio (HR), arm/control, and demonstrated when the Bayesian probability of benefit (HR <1.00) was ≥98%. Analysis was performed monthly for limited efficacy, which occurs when the Bayesian predictive power is <25% for all signatures, and determines stopping enrollment. Follow-up continued for 12 months after accrual stopped. RESULTS When the predictive power was <25% in all predefined signatures for regorafenib, accrual stopped for limited efficacy. The final analysis did not demonstrate OS improvement in the regorafenib arm in RD nor NDU glioblastoma. Median HRs were 1.05 (NDU), 1.07 (RD), and 1.07 (all) with final probabilities of benefit (HR <1.00) of 0.421 (NDU), 0.312 (RD), and 0.296 (all). Regorafenib was associated with increased toxicity relative to control. CONCLUSION GBM AGILE did not show superiority of regorafenib over control in RD (lomustine) or NDU (temozolomide + radiotherapy) glioblastoma, yet caused increased toxicities. Regorafenib has been removed from National Comprehensive Cancer Network guidelines as a treatment option for RD.

Abstract Background Approximately 12 000 adolescents and young adults (ages 15-39, AYAs) are diagnosed with a primary central nervous system (CNS) tumor each year. DNA methylation profiling has transformed CNS tumor classification by refining diagnostic accuracy and identifying biologically distinct subtypes, but its application has not been systematically evaluated in the AYA population. In this study, we examined the spectrum of CNS tumor types across age groups, with a focus on the AYA population. Methods We assembled a large dataset of CNS tumor samples with age annotations and methylation profiles matching with high confidence to a CNS tumor type using the NCI/Bethesda classifier. Prevalence of tumor type, methylation class and DNA copy number aberrations were compared across age strata (pediatric, AYA, and adult). Results The cohort of 21 712 CNS tumors included 5351 tumors from AYAs (25%), which showed a mixed pattern, with tumors typical of childhood (eg, medulloblastoma) as well as those common in older adults (eg, glioblastoma). Several tumor types were specifically enriched in the AYA, including IDH-mutant astrocytoma, pleomorphic xanthoastrocytoma, posterior fossa group B ependymoma, and diffuse hemispheric glioma, H3 G34-mutant, among others. Distinct methylation subclasses of multiple tumor types were observed in the AYA, and patterns of genomic aberrations showed age-specific distributions. Conclusion Large-scale methylation profiling revealed unique classification patterns of CNS tumors in AYAs, with specific tumor types, subclasses, and genomic alterations enriched in this population. These data may serve as a valuable reference resource for better understanding the spectrum of CNS tumors affecting AYA patients.

PURPOSE Chronic myelomonocytic leukemia (CMML) is a rare myeloid neoplasm characterized by clinical heterogeneity and is associated with poor outcomes. To date, limited molecular information has been incorporated into disease classification and risk stratification. We aimed to integrate genomic features into the clinical decision-making process for CMML. PATIENTS AND METHODS We analyzed a retrospective cohort of 3013 patients with CMML (training set) and a prospective population of 516 patients (validation set). Using an innovative framework for multimodal data analysis, we developed molecular-based disease taxonomy and prognostication. RESULTS Unsupervised clustering identified nine entities with distinct genomic features and outcomes ( P < .001), including splicing machinery, transcription factors, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures. Notably, 15% of patients showed molecular/clinical overlap with other myeloid neoplasms. We integrated molecular and clinical information to build the international CMML Prognostic Scoring System (iCPSS), incorporating mutations in nine genes together with hematologic parameters and cytogenetic abnormalities. The iCPSS identified five groups with distinct probability of overall and leukemia-free survival in both training and validation cohorts ( P < .001), outperforming existing prognostic models. Importantly, 55% of patients were reassigned to higher or lower risk groups by the iCPSS. Decision analysis demonstrated that iCPSS could refine the optimal timing of allogeneic transplantation at the individual level; compared with conventional prognostic tools, iCPSS-based decision modeling changed transplantation strategy in 31% of cases, resulting in a significant gain-in-life expectancy for eligible patient population ( P < .001). A federated learning platform was implemented to enable continuous, privacy-preserving model update across multiple centers. CONCLUSION Molecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.

Abstract Background: Curative therapy for primary central nervous system lymphoma (PCNSL) consists of methotrexate-based induction therapy followed by high-dose chemotherapy consolidation. There is no standard of care for patients unfit for dose-intensive consolidation, leaving these patients at high risk of relapse. Median progression-free survival (PFS) is as low as 7-12 months from the time of induction in newly diagnosed patients treated with methotrexate-based regimens without consolidation (Batchelor et al. J Clin Oncol 2003; Omuro et al. Lancet Haematol 2015). Patients with relapsed disease also have dismal outcomes. Lenalidomide is an immunomodulatory drug (IMiD) with single-agent activity in relapsed and refractory PCNSL. We have previously published our experience with 13 patients receiving low-dose lenalidomide for maintenance of remission in PCNSL (Vu et al. Br J Haematol 2019). Here, we report long-term follow up data from an expanded cohort. Methods: We evaluated low-dose lenalidomide maintenance at a starting dose of 5 mg/day in two cohorts: (1) patients in complete remission after methotrexate-based induction and (2) patients in complete or partial remission after salvage therapy upon first relapse. Patients with PCNSL treated with methotrexate-based induction and subsequently treated with maintenance lenalidomide at a starting dose of 5 mg/day at UCSF between Jan 2011 – Jun 2025 were eligible for inclusion. Retrospective chart review was performed. Cox proportional hazards model was used for survival analysis. Results: A total of 89 patients treated with lenalidomide maintenance were identified. We first evaluated outcomes for 39 patients who did not receive dose-intensive consolidation and were treated with lenalidomide maintenance following first-line methotrexate-based induction. 64% were ineligible for consolidation chemotherapy due to age (&gt;74), 18% due to performance status/co-morbidities, and 18% declined consolidation. Median age at diagnosis was 76 (range: 57-86). 20 patients were male and 19 female. Median International Extranodal Lymphoma Study Group score at diagnosis was 3 (range: 1-4) and median Karnofsky Performance Status was 80 (range: 50-100). With median follow up of 73.9 months, median PFS was 38.5 months from the start of lenalidomide maintenance, and median overall survival (OS) was 64.5 months. 59% of these patients have not relapsed. We next evaluated outcomes for 50 patients treated with lenalidomide maintenance after salvage therapy: methotrexate + rituximab (52%), focal XRT (20%), intraocular therapy (14%), dose-intensive etoposide + cytarabine (8%), ASCT (2%), and WBRT (2%). With median follow up of 91.4 months, median PFS was 13.4 months from the start of lenalidomide maintenance, and median OS was 43.9 months. 30% of these patients have not relapsed. Low-dose lenalidomide was well tolerated, with adverse events consistent with the drug's known toxicity profile. Common toxicities included fatigue, rash, constipation, and mild myelosuppression. One patient experienced reversible bradykinesia and there was one pulmonary embolism. There were no episodes of febrile neutropenia. None of the patients treated with lenalidomide have yet developed a myeloid neoplasm. Strikingly, among 42 patients drawn from both cohorts treated with lenalidomide maintenance who later relapsed, 60% achieved a complete response to the next line of therapy, 26% achieved a partial response, while 14% had refractory disease. 26 patients (62%) went on to receive subsequent IMiD maintenance therapy (27% lenalidomide at doses exceeding 5 mg/day, 73% pomalidomide); median PFS from IMiD re-initiation was 13.3 months. Conclusions: Low-dose lenalidomide maintenance therapy after methotrexate-based induction therapy is an effective strategy for less fit PCNSL patients. Lenalidomide maintenance following salvage therapy likewise demonstrates impressive efficacy, with survival outcomes surpassing published historical values. Low-dose lenalidomide is well-tolerated in both of these settings, with low rates of discontinuation. Importantly, most patients progressing on lenalidomide maintenance achieve remission with salvage therapy and respond to further treatment with IMiDs. While our analysis has limitations including its small sample size and retrospective single-center design, the survival outcomes are encouraging and support further investigations of lenalidomide in PCNSL, including the ongoing Alliance A51901 trial.