Citations

Abstract Background Short bowel syndrome (SBS) is a chronic condition requiring parenteral nutrition (PN) support and multidisciplinary management. However, disparities in access to care and standardized treatment pathways, in addition to economic burden, remain considerable for patients. Understanding healthcare resource utilization (HCRU) and treatment patterns, especially in relation to patient‐reported outcomes (PROs), is critical for improving care. Methods A cross‐sectional, multiphase study was conducted in 2023. This analysis focuses on phase 3, using a deidentified database that integrated claims and PROs from 68 patients in phase 2. Twenty‐three patients were included in the analytic cohort after applying additional criteria. Descriptive statistics summarized patient demographics, HCRU, and treatment patterns for the overall cohort and stratified by median SBS–quality of life (QoL) score. Results The median age at SBS diagnosis was 35 years, and 91% of patients were female. Patients saw a median of 35 different healthcare providers and underwent approximately five procedures before diagnosis. In the 6 months after diagnosis, 39% had been hospitalized, and 26% had emergency room (ER) visits. Healthcare costs increased after diagnosis, with long‐term PN use accounting for 34% of total costs. Patients with worse QoL had a higher number of ER visits than patients with better QoL. Patients who self‐reported being treated by SBS specialists had lower healthcare costs than patients who did not receive specialized care. Conclusion SBS is associated with high HCRU and costs, particularly for patients with poor QoL. Multidisciplinary care, especially from SBS specialists, may help reduce healthcare costs and improve patient outcomes.

Abstract Recurrent or refractory IDH-mutant (mt) gliomas represent a population with significant unmet clinical need. The Notch ligand delta-like 3 (DLL3) is a tumor-associated antigen that is highly and homogeneously expressed in IDH-mt gliomas but absent in normal brain tissue, making it an attractive therapeutic target. Tarlatamab is a half-life extended bispecific T-cell engager that targets DLL3 and CD3 to redirect cytotoxic T cells toward DLL3-expressing tumor cells. Given the specific expression of DLL3 in IDH-mt gliomas and promising activity of tarlatamab in other DLL3-positive tumors, this study investigates the safety, efficacy, and intracranial activity of tarlatamab in this patient population. TARGID is an open-label, phase II trial enrolling adult patients with histologically confirmed IDH1 or IDH2-mt astrocytoma or oligodendroglioma following up to two prior lines of systemic therapies. The study comprises two cohorts. Cohort 1 (n=10) includes patients with resectable disease who will receive up to three cycles of tarlatamab prior to surgery; postoperative continuation is permitted. The primary endpoint for this cohort is the change in CD8+ T-cell infiltration in tumor tissue and blood. Cohort 2 (n=34) includes patients with unresectable disease and uses a Simon’s optimal two-stage design (H0: P ≤ 0.1 versus H1: P ≥ 0.25). In the 1st stage, 13 patients will be accrued. If 2 or more responses are observed, 21 additional patients will be enrolled. Tarlatamab is administered intravenously at 10 mg every two weeks, following a 1 mg priming dose on Cycle 1 Day 1. The primary endpoint is objective response rate by RANO 2.0. Exploratory endpoints include DLL3 expression, circulating biomarkers, and immune correlatives. The trial is currently in activation, with first patient enrollment anticipated in Q3 2025. The study is supported by the provision of study drug from Amgen as an investigator-initiated trial.

Abstract Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adults, with a dismal 5-year survival rate of ~6.5%. Vasogenic cerebral edema is a severe complication that occurs in the majority of GBM patients, leading to a significant increase in intracranial pressure, neurological deficits, and increased mortality rates. GBM-associated edema is almost exclusively managed by the corticosteroid dexamethasone, the use of which is associated with immunosuppression and interference with radiation therapy. While there is considerable research on edema formation, little is known about how edema resolution occurs in GBM, particularly in response to dexamethasone or other anti-edema therapies. This gap in understanding highlights the need for new approaches to treat edema effectively. The water channel aquaporin-4 (AQP4), a key player in the brain’s water homeostasis, is upregulated in GBM compared to the normal brain. To investigate the role of AQP4 in GBM-associated edema, we used the RCAS/tv-a system to generate de novo GBM with different driver mutations in Aqp4 knockout (KO) and wild-type (WT) mice. Our results indicated that Aqp4 KO tumor-bearing mice had shortened survival and increased edema content. Additionally, Aqp4 loss decreased astrocyte coverage specifically in the tumor core but not the tumor periphery. Our single cell RNA-seq data suggested that Aqp4 loss led to an astrocytic shift towards a less reactive, progenitor-like state, while also decreasing the myeloid and CD8+ T cell population in the tumor microenvironment. Interestingly, tumor-bearing mice treated with anti-VEGFA antibody, which has anti-edema properties, showed increased expression of Aqp4 and reduced vessel leakage. This suggests that AQP4 plays a critical role in mediating the effects of anti-VEGFA therapy. Overall, this study highlights the important role of AQP4 in the resolution of edema, while also revealing its additional effects on astrocyte activation and the immune microenvironment in GBM.

Abstract Glioblastoma (GBM) is a highly treatment-resistant malignancy characterized by its poor prognosis and intrinsic resistance to therapy, driven largely by glioblastoma stem cells (GSCs) and an immunosuppressive tumor microenvironment (TME). This dual resistance plays a significant role in the failure of current treatment strategies. Consequently, there is an urgent need for novel therapeutic approaches that can effectively target GSCs while simultaneously reshaping the TME to promote anti-tumor immunity. In this study, we investigated the dual therapeutic potential of Xevinapant, a lead SMAC mimetic, through a combination of in vitro, in vivo, and single-cell transcriptomic analyses. We found that Xevinapant demonstrated potent anti-tumor activity through inducing dose-dependent apoptosis and significantly reduced cell viability in both human and mouse GSCs. In vivo administration of Xevinapant led to significant tumor suppression and extended overall survival in orthotopic models. Notably, our single-cell RNA sequencing result revealed that Xevinapant activated immune effector cell responses, contributing to the reprogramming of the immunosuppressive TME. Immune cell activation (both lymphoid and myeloid lineages) was further validated by flow cytometry using tumor-derived cells. To overcome potential therapeutic resistance, we derived Xevinapant-specific gene expression signatures and queried the LINCS database to identify small molecules with synergistic effects. Our analysis identified a promising compound ST-059620 that, when used in combination with Xevinapant, enhanced therapeutic efficacy and overcame resistance. Taken together, our findings highlight the dual mechanism of action of Xevinapant in targeting both tumor-intrinsic and microenvironmental resistance mechanisms. These results support the continued clinical development of Xevinapant and provide a strong rationale for combination strategies aimed at improving treatment efficacy in GBM.

Abstract INTRODUCTION Glioblastoma is the most common malignant adult brain tumor with poor prognosis, largely due to its heterogeneous landscape. The AI-RANO and RANO-RGP groups organized the BraTS-Pathology 2024 challenge, providing a publicly-available dataset and a benchmarking environment for AI models to automatically identify six clinically-relevant histopathologic sub-regions in H&E-stained whole slide images (WSIs). METHODS We reclassified the TCGA-GBM and TCGA-LGG data according to the WHO 2021 criteria and identified diagnostic WSIs of 188 glioblastoma (IDH-wt, CNS WHO Gr.4) patients. A well-defined annotation protocol was communicated to eight neuropathologists, across eight institutions, who created “ground truth” annotations for Cellular Tumor (CT), Geographic Necrosis, Cortical Infiltration, Pseudopalisading Necrosis (PN), Microvascular Proliferation, and Penetration into White Matter (PWM). Comprehensive WSI curation for elimination of artifactual content and follow up partitioning resulted in approximately 300,000 data samples/patches. FINDINGS Inter-observer variability assessment highlighted difficulties in establishing a “gold standard”. The least annotated sub-regions (PWM and PN) were the most challenging to the participating methods, whereas all methods achieved their highest accuracy in the most annotated sub-region (CT). The highest average performance across sub-regions was obtained by a foundation model-based method. However, this top-ranked solution achieved an F1 score of 0.51 (Accuracy=0.65, Sensitivity=0.56, Specificity=0.93). CONCLUSIONS Our findings suggest that achieving state-of-the-art performance, in automatically identifying clinically-relevant glioblastoma sub-regions, remains an unsolved research problem. Analysis of the ground-truth annotations underscores the critical need for more precisely defined and neuropathologically standardized annotation protocol. Current AI algorithms are facing difficulties in addressing glioblastoma’s heterogeneous histologic landscape in the absence of large, comprehensively, and consistently annotated data. Building upon these findings, and towards developing more accurate AI algorithms, the 2025 iteration of the BraTS-Path challenge is currently on-going by leveraging two million data samples, aiming to enhance our disease understanding and improve diagnostic accuracy, ultimately contributing to improved patient outcomes.

Abstract INTRODUCTION Recurrent IDH-mutant gliomas pose a significant therapeutic challenge, with limited treatment options following progression after standard therapy. Combining PARP inhibitors with immune checkpoint blockade has been proposed as a synergistic strategy in IDH-mutant high-grade gliomas, leveraging vulnerabilities in homologous recombination repair and increased PD-L1 expression following PARP inhibition. OBJECTIVE This phase II trial (NCT03991832) evaluated the combination of the PARP inhibitor olaparib and the PD-L1 inhibitor durvalumab in patients with recurrent IDH-mutant glioma. We also investigated the potential of the plasma tumor methylome as a non-invasive biomarker of treatment response. METHODS Twenty-nine patients (median age 40.5 years; 41% female) were enrolled between January 2020 and February 2023. All patients received olaparib (300 mg twice daily) and durvalumab (1,500 mg IV every four weeks) until radiographic or clinical progression. Plasma samples were collected at baseline and monthly, and cell-free methylated DNA immunoprecipitation sequencing (cfMeDIP-seq) was performed. RESULTS The objective response rate was 10%, and median overall survival was 9.3 months. Longitudinal cfMeDIP-seq profiling enabled development of a circulating methylome classifier that accurately distinguished responders from non-responders. Integration with matched tumor transcriptomic and methylation data revealed enrichment of immune and DNA repair pathways in responders. Whole-exome sequencing identified no consistent mutational correlates. Spatial transcriptomic analysis demonstrated a more interactive, immune-rich tumor microenvironment and reduced malignant cell state diversity in responders. CONCLUSION This study supports the safety of combined PARP and PD-L1 blockade in recurrent IDH-mutant glioma and highlights the plasma methylome as a promising non-invasive biomarker of therapeutic response.

Abstract Immune checkpoint inhibitors (ICIs) have limited benefit in recurrent high-grade astrocytoma (rHGA), largely because the blood–brain barrier and a profoundly immunosuppressive tumor microenvironment prevent T cells from infiltrating. Laser interstitial thermal therapy (LITT) is a minimally invasive, cytoreductive procedure that can “heat up” these otherwise “cold” tumors and sensitize them to ICIs. In this tri-institutional Phase 1/randomized Phase 2 trial (NCT02311582), bevacizumab- and immunotherapy-naïve rHGA patients were initially randomized 1:1 to either LITT followed by pembrolizumab (LITT+PEM) or non-LITT surgery (biopsy or resection) followed by pembrolizumab (NLS+PEM). Phase 2 participants enrolled at a second recurrence—with several already at a third recurrence—underscoring the advanced disease stage of this cohort. After 21 patients, randomization was halted when contemporaneous evidence showed limited benefit from adjuvant ICIs alone, and the remaining 24 patients received only LITT+PEM. In the 21-patient intent-to-treat cohort, LITT+PEM extended median OS to 21.3 months with 54% alive at 18 months (OS18) versus 6.7 months with 12.5% OS18 with NLS+PEM (HR 0.29; 95% CI, 0.01–0.88; p=0.021). Median PFS was 7.8 versus 2.2 months (HR 0.3; 95% CI, 0.10–0.87; p=0.020). Among 39 per-protocol patients, LITT+PEM yielded a median OS of 11.8 months with 42% OS18 versus 5.2 months with 0% OS18 for NLS+PEM (HR 0.17; 95% CI, 0.06–0.49; p=0.0002), and a median PFS of 4.5 versus 1.6 months (HR 0.21; 95% CI, 0.08–0.56; p=0.0006). The combination was well tolerated. Immune profiling revealed that LITT triggers early activation of non-classical monocytes—a change associated with improved survival—while subsequent pembrolizumab unleashes robust CD8⁺ T cell proliferation and clonal expansion. Long-term LITT+PEM survivors developed coordinated memory T-cell responses, whereas shorter-surviving patients exhibited stagnant memory pools and exhausted phenotypes. Together, these results demonstrate that LITT plus pembrolizumab is safe, overcomes rHGA’s immunosuppressive barrier, and mobilizes robust anti-tumor immunity.

Importance Treatment for cognitive dysfunction due to postacute sequelae of long COVID (ie, symptoms of fatigue, malaise, weakness, confusion that persist beyond 12 weeks after an initial COVID infection) remains a significant unmet need. Objective To test evidence-based rehabilitation strategies for improving cognitive symptoms in persons with long COVID. Design, Setting, and Participants This was a 5-arm, multicenter, randomized clinical trial of 3 remotely delivered interventions conducted between August 17, 2023, and June 10, 2024. The study took place at 22 trial sites and included the screening of individuals with cognitive long COVID. Interventions Participants were randomized to 1 of 5 arms: adaptive computerized cognitive training (BrainHQ [Posit Science]), cognitive-behavioral rehabilitation involving both group and individual counseling sessions (PASC-Cognitive Recovery [PASC-CoRE]) paired with BrainHQ, and transcranial direct current stimulation (tDCS) paired with BrainHQ. Two comparator arms were included as follows: unstructured computer puzzles and games (active comparator) and sham tDCS paired with BrainHQ. The interventions occurred 5 times per week over 10 weeks. Main Outcomes and Measures Cognitive and behavioral in-person assessments were performed at baseline, midintervention, at the end of intervention, and 3 months after the end of the intervention. The primary outcome measure was the modified Everyday Cognition Scale 2 (ECog2) completed at the end of the intervention compared to the baseline visit based on participant self-report looking back over the prior 7 days. Results A total of 378 individuals were screened, from which there were 328 participants (median [IQR] age, 48.0 [37.0-58.0] years; 241 female [73.5%]; race: 15 Asian [4.6%], 47 Black [14.3%], and 235 White [71.6%]; ethnicity: 52 Hispanic [15.9%]). None of the 3 active interventions demonstrated benefits on the modified ECog2 in the intention-to-treat population by the end of the intervention period. The adjusted differences in mean change were 0.0 (95% CI, −0.2 to 0.2) for BrainHQ vs active comparator, 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs active comparator, 0.0 (95% CI, −0.2 to 0.2) for tDCS-active + BrainHQ vs tDCS-sham + BrainHQ, and 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs BrainHQ alone. Secondary participant-reported outcomes and neuropsychological tests showed no differential benefits for any treatment arm. All 5 arms demonstrated some improvements over time on the modified ECog2 and on secondary outcomes. There were no serious adverse events attributable to the interventions. Conclusions and Relevance This phase 2 randomized clinical trial failed to demonstrate differential benefits for online cognitive training, a structured cognitive rehabilitation program, and tDCS for cognitive long COVID. Trial Registration ClinicalTrials.gov Identifier: NCT05965739 .