Citations

CD19-directed CAR T-cells (CTL019) can produce durable remissions in chronic lymphocytic leukemia (CLL), but therapeutic success depends on whether autologous T-cells expand, persist, and retain cytotoxic function after manufacturing. Failure of CLL T-cells is often attributed to exhaustion, although many dysfunctional CLL T-cells retain inflammatory cytokine production. We tested whether this paradox reflects immunosenescence, an aging-like program defined by costimulatory loss, DNA damage, inflammatory secretion, repertoire restriction, and proliferative arrest. In response-linked preinfusion CTL019 products, nonresponders and short partial responders had higher senescence and senescence-associated secretory phenotype (SASP) programs than the functional-responder group, comprising complete responders and partial responders with transformed disease. These programs were detectable before infusion and became more prominent during manufacture in susceptible products. They tracked with weak in vivo CAR T-cell expansion and were associated with inferior survival. Serum proteomics revealed a circulating, CLL-associated SASP-like inflammatory milieu in nonresponders. Flow cytometry and T-cell receptor (TCR) profiling showed that poor responders carried CD27⁻CD28⁻ and KLRG1⁺ CD8 T-cells at apheresis, lower product CD27, and reduced product TCR diversity. Research-manufactured CAR T-cells from treatment-naïve CLL samples displayed the same state, most prominently in CD4 CAR T-cells, with SA-β-gal, p16, p53, DNA damage, depletion of less-differentiated states, and senescence-enriched transcriptomes. Under repeated CD19 stimulation, CLL-derived products reached a proliferative ceiling, and p53-high products lost cytotoxic reserve. Ibrutinib improved proliferative fitness, attenuated senescence-associated features and SASP output in paired patient and direct-exposure assays, and enhanced CAR T-cell expansion in an ibrutinib-resistant CLL model. Together, these data identify immunosenescence as a measurable and functionally consequential barrier to CAR T-cell efficacy in CLL and a candidate for therapeutic modulation.

ABSTRACT Introduction Operating room (OR) noise during holmium laser enucleation of the prostate (HoLEP), particularly from laser activation, may impair surgical workflow and staff performance. Methods 84 HoLEP procedures were recorded at three academic institutions between June 2024 and January 2026. Laser platforms included Lumenis Moses 2.0, Quanta Litho 150, Quanta Magneto, and Dornier Thulio. Sound measurements were obtained using a standardized smartphone‐based system during three phases: laser‐off (baseline), idle (not firing), and active lasing. Acoustic metrics included average sound level (LAeq), peak sound level (Lcpeak), and sound levels exceeded for 10%, 50%, and 90% of the recording time (L10, L50, and L90). Background noise correction was performed using baseline measurements to account for ambient noise and isolate laser‐related sound. OR staff completed a validated survey assessing perceived noise burden (0–10 scale). Results Background‐corrected noise during active lasing differed significantly by platform. Litho demonstrated lower mean noise levels compared to Thulio for LAeq (60.6 vs. 68.2 dB, p = 0.023) and L10 (61.5 vs. 70.6 dB, p = 0.023), while Moses had higher LAeq compared to Litho (63.1 vs. 60.6 dB, p = 0.043). Overall, Litho had the lowest noise levels, whereas Thulio had the highest. Survey responses paralleled these findings. Litho was associated with lower perceived overall effort (2.1 ± 0.9), while Moses demonstrated higher overall effort (3.6 ± 1.2) for communication and concentration (Figure 2). Significant pairwise differences were observed between Moses and Litho (all p < 0.05). Trends were consistent across sites. Conclusions Noise levels during HoLEP varied by laser technology and correlated with differences in perceived communication and cognitive effort. Litho demonstrated the lowest acoustic burden, while Moses and Thulio had higher noise exposure. These findings highlight the impact of laser selection on the OR environment and intraoperative team performance.

Abstract Abdominal compartment syndrome (ACS) is defined as elevated intra-abdominal pressure resulting in dysfunction of at least one thoracoabdominal organ. Diagnosing ACS is particularly challenging in critically ill patients. This study aimed to identify specific CT imaging findings predictive of ACS by comparing cohorts with a clinical diagnosis of ACS and critically ill patients without this diagnosis. A retrospective case–control study identified patients with a clinical diagnosis of ACS. A matched control cohort consisted of critically ill patients without a diagnosis of ACS. Three radiologists, blinded to the patients' diagnosis and clinical course, reviewed CT scans for 19 different signs. Univariate analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed. Thirty-one patients with ACS and 36 without ACS were enrolled. On univariate analysis, abdominal anteroposterior-to-transverse dimension ratio (AR; p = 0.0002), peritoneal to abdominal height ratio (PAR) (p = 0.007), contour changes of solid organs (CCSO) (p = 0.005), and retroperitoneal collections (p = 0.02) were significant. On logistic regression analysis, only PAR was significant (p = 0.01). The presence of at least one of PAR >0.52 or AR >0.75 had sensitivity of 81% and specificity of 81% for predicting ACS. The presence of both of these signs had a specificity of 100% for ACS. Radiologists should consider ACS in critically ill patients when CT shows increased AR or PAR. CCSO and large retroperitoneal collections are secondary signs. Recognition of these imaging findings may aid in the timely and accurate diagnosis of ACS in clinical practice.

Abstract INTRODUCTION Plasma p‐tau217 and p‐tau217/Aβ42 reliably identify non‐Hispanic White individuals with symptomatic and pre‐clinical AD. However, performance across ethnoracially diverse groups remains unknown. METHODS Cognitively normal Black, Hispanic, and non‐Hispanic White participants completed cognitive evaluations, brain magnetic resonance imaging (MRI), amyloid and tau positron emission tomography (PET), and measures of kidney function. Plasma p‐tau217 and Aβ42 were measured using Fujirebio Lumipulse assays. Pre‐clinical AD detection was evaluated using symptomatic and cohort‐derived optimized cutoffs. RESULTS Among 191 participants (57 Black, 46 Hispanic White, 88 non‐Hispanic White), age‐adjusted plasma p‐tau217 and p‐tau217/Aβ42 performed similarly in detecting amyloid‐positive individuals (≥ 25 Centiloids), regardless of race/ethnicity. Both measures independently correlated with amyloid deposition, whereas estimated glomerular filtration rate (eGFR) correlated solely with p‐tau217. Pre‐clinical AD optimized cutoffs (p‐tau217 ≥ 0.132 pg/ml; p‐tau217/Aβ42 ≥ 0.0059) outperformed cutoffs established in symptomatic individuals (sensitivity: 83% vs. 57%; 77% vs. 63%; negative predictive value [NPV] > 93%). DISCUSSION Plasma biomarkers performed similarly across ethnoracially diverse cohorts. Optimized cutoffs may improve early detection and trial enrollment.

Abstract Background Existing formal feedback systems in graduate medical education often rely heavily on intangible Likert Scales linked to ACGME milestones as an end-of-rotation summative assessment. However, more frequent, actionable, formative feedback based on observations is essential to personal growth. Objective To evaluate the impact of changing from a milestone-based evaluation form to a brief narrative-based feedback form in a Pulmonary Disease and Critical Care Medicine (PCCM) fellowship as an exploratory pilot project. Our aim was to describe change in perception of feedback quality and the impact on Clinical Competency Committee (CCC) decisions. Methods We compared the quality of written rotation feedback before and after implementing a shorter feedback form on January 1, 2024 for 15 PCCM fellows at a single large academic institution using the Quality of Assessment for Learning (QuAL) score, (July 2023-December 2023 compared to January 2024-July 2024), fellow pre- and post-surveys (December 2023 and June 2024) and a CCC focus group (June 2024). Results Overall QuAL score improved significantly after narrative-based feedback form implementation (2.71 pre [n = 75] vs 3.70 post [n = 85], p &lt; 0.001). Surveys had 13/14 (92.8%) fellows respond pre-intervention and 8/14 (57.1%) post-intervention. There was significant improvement in the number of fellows indicating they could identify new learning goals based on written feedback after implementation of the new form (23.1% pre vs 75.0% post, p = 0.03). The CCC focus group with 5 of 8 eligible faculty participating described milestone decisions were better supported by more detailed narratives. Conclusions Implementing a brief narrative-based form improved feedback quality and the number of trainees able to create learning goals. The CCC identified that the new form provided better details to support milestone recommendations.

Abstract Introduction The ability of the adaptive immune system to have memory of previous pathogen encounters is the basis for vaccination as one of the most successful medical interventions. With increasing age, the ability to develop protective immunity after vaccination declines. Differentiation into T memory cells is at least in part determined during the early cell divisions after activation when cells undergo assymmetric cell division (ACD). Fate decisions depend on the uneven distribution of signaling molecules and transcription factors with accumulation of mTORC1 activity biasing for an effector and TCF1 for a memory state. We explored whether ACD of naïve CD4 T cells is impaired in older adults. Methods We used human primary cells from young and older adults. Human naive CD4 T cells were isolated and cultured in RPMI, 10% FBS and antibiotics on plates coated with anti-CD3 Ab, anti-CD28 Ab and huICAM1 for 3 days. We used transfection by electroporation to modify gene expression. Read out systems included confocal microscopy, flow cytometry and lysosome function assays. Results were compared by t-test with values of p &lt; 0.05 considered significant. Results Naive CD4 T cell responses from older adults is characterized by increased activation of the AKT-mTORC1 pathway and reduced ACD of mTORC1 activity. Increased RICTOR expression resulting in increased mTORC2 activity in naive CD4 T cells from older individuals accounted for the activation of the AKT-mTORC1 pathway. AKT inhibition or silencing of RICTOR restores ACD of mTORC1 activity as well as of TCF1. Conversely, ACD was also improved through inducing WNT signaling by GSK3β inhibition irrespective of RICTOR expression. Conclusion Our data show that increased RICTOR expression in naïve T cells from older adults at least in part accounts for defective memory cell generation. Silencing of RICTOR or downstream AKT inhibition can enforce both mTORC1 ACD and TCF1 ACD suggesting that mTORC2 is a promising target to improve vaccine responses. Funding Source n/a Topic Categories Lymphocyte Differentiation and Peripheral Maintenance (LYM)

Abstract Introduction Glioblastoma is an aggressive brain cancer with poor prognosis for which immunotherapies have fared poorly. In part, the failure in immunotherapies is attributed to the existence of severe local and systemic immunosuppression in GBM. We determined that majority of hallmark features of systemic immunosuppression were linked to immunosuppressive factors in serum. Our data indicate that serum of glioma-bearing mice harbors heightened levels of cell-free DNA (CF-DNA). Methods We evaluated the extent to which CF-DNA contributes to systemic T cell dysfunction in mouse models of GBM and GBM patient plasma samples. Results We determined that majority of hallmark features of systemic immunosuppression were linked to immunosuppressive factors in serum. Our data indicate that serum of glioma-bearing mice harbors heightened levels of cell-free DNA (CF-DNA). Removing CF-DNA from serum improves T cell responses while adding CF-DNA derived from serum of glioma-bearing subjects to healthy T cells directly inhibits their functions. We have also verified that CF-DNA is detectible in sera isolated from patients with GBM. When compared to healthy controls, GBM patients have higher quantities of CF-DNA is their plasma. Interestingly, our preliminary data implicates neutrophil NETosis as the likely source of CF-DNA in sera of GBM patients. Moreover, we stained GBM tumor sections with citrullinated histone 3 (cit-H3) to evaluate the extent of NETosis in GBM patients. We determined evidence of significant NETosis within patient brain tumors. Systemic immunosuppression is detrimental to the success of immune-modulating therapies and patient survival. By identifying and removing the source of systemic immunosuppression, we will enhance immune responses against the tumor likely improving patient survival. Conclusion Glioblastoma causes immune suppression outside of the brain via the released CF-DNA. Our studies in GBM patients and mouse models help develop strategies to reverse immune dysfunction and improve outcomes. Funding Source NIH K99/R00 Topic Categories Immune Mechanisms of Human Disease (HUM)

Abstract Endothelial specialization is increasingly recognized as a fundamental regulator of tissue homeostasis, yet the cellular diversity of the skeletal vasculature remains incompletely resolved. Here, we integrate large-scale single-cell transcriptomics, cross-tissue comparisons, and imaging to comprehensively define endothelial heterogeneity across the skeleton. Our analyses demonstrate that the proposed post- arterial “type R” endothelial population is not a distinct endothelial subtype but instead comprises canonical venous endothelial cells and fatty acid-handling endothelial state. RNA velocity supports a venous continuum, while the proposed type R markers FMO2, and AQP7 lack both endothelial and skeletal specificity. The fatty acid-handling endothelial state, characterized by Lpl and Cd36 is conserved across multiple skeletal sites and non-skeletal tissues, indicating a general endothelial metabolic programme. Within bone, this endothelial state expands following high-fat diet and is suppressed during injury. Together, these findings redefine skeletal endothelial heterogeneity and establish the proposed type R population as part of a venous continuum.

PURPOSE To evaluate open-source large language models (LLMs) for extracting cancer-specific phenotypic data, benchmark their performance against GPT4 models, and assess the impact of fine-tuning with training data sizes. METHODS Open-source LLMs (Mistral, LLaMa, MAMBA, BioMistral) were evaluated in zero-/one-shot and fine-tuned setups against GPT4-turbo/GPT4o to extract the cancer presence, progression, response, and metastatic sites from radiology impressions of patients with solid tumors treated at Dana-Farber Cancer Institute. Performance metrics (accuracy, precision, recall, F1-score) were computed. McNemar's odds ratio (OR), measuring which model is more likely to be correct when they disagree, was computed with 95% CI. Statistical significance was assessed using the alpha of .000139. RESULTS This study included 2,623 patients (25,273 radiology impressions). In zero-/one-shot settings, GPT4-turbo/GPT4o outperformed open-source LLMs. However, fine-tuned open-source LLMs achieved higher F1-scores than GPT4 models. Compared with the best-performing GPT4 model, fine-tuned Mistral0.2-7.3B (OR, 0.27 [95% CI, 0.20 to 0.36]; P < .00001), Mistral0.3-7.3B (OR, 0.26 [95% CI, 0.19 to 0.36]; P < .00001), LLaMa2-6.7B (OR, 0.30 [95% CI, 0.22 to 0.40]; P < .00001), LLaMa3.1-8B (OR, 0.37 [95% CI, 0.28 to 0.48]; P < .00001), and MAMBA-2.8B (OR, 0.32 [95% CI, 0.24 to 0.42]; P < .00001) showed significantly better performance in ascertaining disease progression. Performance was consistently better for inferring overall response, any evidence of cancer, and sites of metastases, with no significant differences among fine-tuned open-source LLMs. Fine-tuning gains plateaued at 25% of training data (5,718 impressions) and remained comparable at 5% (1,144 impressions). CONCLUSION Open-source LLMs, when fine-tuned using labeled data, can effectively automate the ascertainment of key radiophenotypic variables using only the impression section of radiology reports, without the full report text. Their consistent performance in small training sets suggests that these models may provide a scalable approach for phenotypic characterization of patients with cancer in real-world clinical settings.