Citations

Study Design. Subanalysis of a prospective, multicenter, observational study at 72 US adult, pediatric, and mixed trauma centers. Objective. We investigated trauma-related risk factors and patient-level factors associated with multiregional spinal column injury, defined as cervical spine injury (CSI) requiring treatment and thoracolumbar injury (TLI). Summary of Background Data. Traumatic spinal injury causes morbidity and mortality in pediatric patients. Injuries to multiple spinal column regions require early identification and thoughtful management. Methods. All children <18 years undergoing cervical spine evaluation after blunt multisystem trauma were prospectively identified and enrolled. Clinically significant CSI was defined by cervical spine surgery or halo placement. TLI incidence and management was recorded. The primary outcome was multiregional spinal column injury (CSI+TLI). Results. Of 19,651 enrolled patients, 1484 children (7.5%) experienced a TLI, 159 (0.81%) had CSI requiring treatment, and 30 (0.15%) had CSI+TLI. Multivariate analysis revealed that the trauma-related factors mechanism of injury ( P <0.001), rib fractures (odds ratio (OR) 2.8 [2.3-3.4]), hemothorax/pneumothorax (OR 2.0 [1.7-2.4]), bowel injury (OR 4.0 [2.9-5.4]), pelvic fracture (OR 1.5 [1.2-1.9]), and clinically significant CSI (OR 1.9 [1.2-2.9]) were independently associated with TLI. Of the 159 children with clinically significant CSI, 30 also experienced TLI (19%). Multivariate analysis identified prehospitalization intubation (OR 3.1 [1.1-8.4]) and rib fractures (OR 3.9 [1.2-12.8]) as independent associations with CSI+TLI. Conclusions. Of children with CSI requiring treatment, 19% experienced TLI. MOI and various trauma-related injuries were independently associated with TLI, whereas prehospitalization intubation and rib fractures were independent risk factors for CSI+TLI. These factors should trigger screening for multiregional spinal column injury in pediatric trauma patients. Furthermore, if there is known TLI, the cervical spine should be evaluated, and if there is significant CSI, then dedicated imaging of the thoracic and lumbar spine is indicated. Level of Evidence. III

Abstract Purpose: Familial adenomatous polyposis (FAP) confers a significant risk of colorectal/duodenal cancer. Encapsulated rapamycin (eRapa) has demonstrated promise as FAP chemoprevention in early clinical studies. Patients and Methods: Thirty patients with FAP enrolled to three dosing regimens of eRapa (0.5 mg): cohort 1—every other day, cohort 2—daily every other week, or cohort 3—daily. The primary endpoints were safety/tolerability, pharmacokinetics, and percentage change from baseline (PCFB) in colorectal polyp burden (CPB) at 6 months. Secondary endpoints included PCFB total (TPB) and duodenal (DPB) polyp burden and change in International Society for Gastrointestinal Hereditary Tumors stage and Spigelman score at 6 and 12 months. Results: Twenty nine of thirty patients (97%) completed the 12-month study with predictable bioavailability. Low-grade adverse events were frequent but most pronounced in daily dosing. Two patients discontinued treatment related to toxicity. Cohort 1 had the largest decrease median PCFB CPB, DPB, and TPB at 6 months: −39.4 % (IQR, 108.9; P = 0.28), −33.33 % (IQR, 90; P = 0.04), and −38.6 % (IQR, 88.5; P = 0.26), respectively. At 12 months, cohort 2 had the largest decrease median PCFB CPB and TPB: −29.3 % (IQR, 67.6; P = 0.37) and −26.3 % (IQR, 49.5; P = 0.29), respectively. Intermittent dosing cohorts (1 and 2) reduced DPB at 6 months (P = 0.04) and improved TPB at 12 months (P = 0.05) compared with daily dosing. Conclusions: eRapa was safe, tolerable, and showed preliminary efficacy for FAP chemoprevention. The 0.5 mg daily every-other-week schedule will be evaluated in an upcoming phase III trial.

Abstract Background Accurate synthesis of computed tomography (CT) images from magnetic resonance imaging (MRI) is clinically valuable for cranial applications such as attenuation correction, radiotherapy planning, and image‐guided interventions. However, the heterogeneity of MRI data across magnetic field strengths and pulse sequences limits the generalizability of existing methods, posing a barrier to clinical translation. Purpose This study aims to reformulate cranial CT synthesis as a modular, structurally coupled problem using a deep learning approach, enhancing adaptability across heterogeneous MRI conditions, including different field strengths and sequence protocols. Methods We implemented a cascaded multitask pipeline that jointly models skull segmentation and Hounsfield Unit (HU) regression in anatomically targeted regions. A 3D patch‐based training paradigm shifts the modeling focus from global image translation to localized bone feature extraction. The backbone leverages a residual Mamba‐based state space model within a 3D U‐Net structure to improve spatial representation, while a Transformer U‐Net serves as a widely recognized reference baseline comparison. The model was trained and evaluated in terms of multi‐modal (T1‐weighted and T2‐FLAIR) and cross‐domain transferability from a public 1.5 Tesla brain dataset ( n = 37) to an independent 7 Tesla clinical brain dataset ( n = 44). Performance was assessed using Dice and Jaccard indices for segmentation accuracy and mean absolute error (MAE) for HU regression. Results Quantitative analysis showed that our multitask pipeline, incorporating both morphological and HU map prediction stages, significantly outperformed conventional direct MRI‐to‐CT mapping across all metrics on the public 1.5T dataset (p < 0.05). Consistent performance on an external 7T clinical dataset (p < 0.001) further demonstrated the method's robustness and adaptability across field strengths. Conclusion These findings support that task‐structured training for modality transformation markedly improves both accuracy and generalizability of cranial CT synthesis across heterogeneous MRI conditions. The observed consistency across field strengths validates the robustness of the proposed methodology.

Abstract Background The increased use of superior mesenteric artery (SMA) divestment has been a driver behind the increased resection rate for locally advanced pancreatic cancer following preoperative therapy. This has also resulted in an increase in the rate of postoperative neurogenic diarrhoea, but knowledge about postoperative neurogenic diarrhoea is lacking. The aims of this study were to determine the incidence, risk factors, management, and outcomes of neurogenic diarrhoea after SMA divestment/resection for pancreatic adenocarcinoma. Methods This multicentre retrospective study included consecutive patients undergoing pancreatic adenocarcinoma resection, including SMA divestment/resection, after preoperative chemotherapy with or without radiotherapy between 2016 and 2022. Primary endpoints were the incidence of postoperative neurogenic diarrhoea, associated factors, treatment strategies, and outcomes. Secondary endpoints were the rate of adjuvant chemotherapy and the impact of neurogenic diarrhoea on overall survival (OS). Results Overall, 291 patients who underwent pancreatic resection with concomitant SMA divestment (240, 82%) or resection (51, 18%) were included in the study. Postoperative neurogenic diarrhoea was diagnosed in 193 patients. The adjusted risk of developing neurogenic diarrhoea was 59% (95% confidence interval (c.i.) 46 to 73) after ≤ 180° SMA divestment, 80% (95% c.i. 67 to 93) after &gt; 180° SMA divestment, and 77% (95% c.i. 66 to 88) after SMA resection. Postoperative neurogenic diarrhoea was treated with non-opioid drugs (29, 15%), non-opium opioids (140, 73%), opium tincture (69, 36%), and/or octreotide (49, 25%), and normalized in 51% of patients. After adjusting for confounders, neurogenic diarrhoea was not significantly associated with OS (hazard ratio 0.83; 95% c.i. 0.55 to 1.25). Conclusion Neurogenic diarrhoea occurred in two-thirds of patients following resection of pancreatic adenocarcinoma with concomitant SMA divestment/resection, particularly after &gt; 180° SMA divestment or SMA resection. Although challenging to manage, neurogenic diarrhoea is not associated with impaired OS. Evidence-based treatment strategies are needed for adequate management.

Abstract Scientific foundation models learn high-dimensional representations from diverse data modalities, yet what they encode and how to extract that knowledge remain open questions. Here we show that probing the internal representations of Evo 2, a 7-billion-parameter genomic foundation model, enables accurate and interpretable genetic variant effect prediction. We introduce a covariance-based probe that captures second-order structure from Evo 2 sequence embeddings to predict variant pathogenicity across variant types and functional consequences, matching or exceeding specialized predictors within their domains. To ground these predictions in known biological mechanisms, we train a complementary panel of probes on existing annotations to detect which genomic properties are disrupted by a variant. This categorized evidence is then integrated with each variant’s genomic context through a language model to generate variant-specific mechanistic hypotheses. Our pathogenicity predictions correlate with experimental measures of variant function, clinical penetrance, and biobank disease associations while the mechanistic hypotheses are consistent with expert reviews, known mechanism classes, and downstream molecular readouts. We release pathogenicity scores, disruption profiles, and contextualized interpretations for 4.2 million variants from the ClinVar database as an open resource through the Evo Variant Effect Explorer (EVEE). More broadly, this structured probing approach offers a general framework for interrogating foundation models across scientific disciplines and grounding their outputs in existing domain concepts.

Abstract Background: Kidney transplant recipients (KTRs) have a markedly elevated risk of aggressive malignancies, yet the use of immune checkpoint inhibitors (ICIs) in this population remains limited by concerns for allograft rejection and the absence of prospective evidence. We evaluated real-world antitumor activity, graft safety, and immunosuppression-related outcomes of ICI therapy in KTRs with advanced cancers. Methods: We retrospectively analyzed 57 KTRs with locally advanced unresectable or metastatic malignancies treated between 2018-2025 at a single tertiary center. Thirty-three received ICIs and 24 received non-ICI systemic therapy. Outcomes included objective response rate (ORR), clinical benefit rate (CBR), progression-free survival (PFS), overall survival from diagnosis (OSd), overall survival from treatment initiation (OSt), acute allograft rejection, and immune-related adverse events (irAEs). Tumor response was assessed by RECIST v1.1. Results: ICI-treated patients achieved higher ORR (40.0% vs 26.1%) and CBR (60.0% vs 33.3%) compared with non-ICI therapy. Median OSd was 35.8 vs 23.3 months, and median PFS was 4.3 vs 3.5 months (both not statistically significant). Median OSt was significantly longer with ICIs (15.1 vs 7.9 months; p=0.012). Acute rejection occurred in 12.1% of ICI-treated patients (3% irreversible) versus 4.2% with systemic therapy; rejection events were heterogeneous in timing (3 weeks-14 months) and largely responsive to pulse-dose corticosteroids. IrAEs occurred in 27.3% of ICI patients, with grade ≥2 events in 12.1%, and no treatment-related deaths. In the cutaneous squamous cell carcinoma (cSCC) subgroup (n=33), ICI therapy produced an ORR of 47.4% and CBR of 63.2%, with trends toward improved survival relative to controls. Conclusions: ICIs produced clinically meaningful antitumor activity in KTRs, particularly in cSCC, with a manageable rate of allograft rejection under carefully tailored immunosuppression. Despite higher historical concerns, irreversible graft loss was uncommon. These findings support the feasibility of ICI therapy in selected transplant recipients and highlight the importance of immunosuppression strategy in balancing antitumor efficacy and graft safety. Prospective, biomarker-integrated studies are needed to define optimal immunosuppression during PD-1 blockade in this high-risk population. Citation Format: Ali Rezazadeh Roudkoli, Elena Barbir, Shahin Kavousi, Mohamed A. Aboelatta, Claudia-Denise Haivas, Byron H. Smith, Aleksandra Kukla, Arkadiusz Z. Dudek. Immune checkpoint inhibitor therapy in kidney transplant recipients: Real-world outcomes of antitumor activity and graft rejection risk [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 6544.

Background Immune exclusion inhibits antitumor immunity and response to immunotherapy, but its mechanisms remain poorly defined. In triple-negative breast cancer (TNBC), an aggressive and generally immune-rich subtype, an immune-cold microenvironment predicts poor prognosis due to a limited response to chemotherapy and immune checkpoint inhibitors. This study aimed to identify mechanisms regulating immune infiltration in TNBC. Methods We performed spatial transcriptomic analysis comparing immune-enriched versus immune-cold treatment-naïve TNBCs. Functional analyses, including loss-of-function and reconstitution experiments, were conducted to investigate the role of trophoblast cell-surface antigen 2 (TROP2), a key target of anticancer antibody drug conjugates (ADCs), in promoting TNBC progression. A humanized TROP2 syngeneic TNBC model was used to assess the effects of TROP2-targeting in combination with anti-programmed cell death protein 1 (PD-1) therapy. Additionally, data from patients treated with immune checkpoint blockade were used to test hypotheses from the preclinical findings. Results We reveal that TROP2 controls barrier-mediated immune exclusion in TNBC through claudin 7 association and tight junction regulation. TROP2 expression is inversely correlated with T-cell infiltration and predicts poor outcomes in TNBC. We demonstrate that TROP2 is sufficient to drive tumor progression in vivo in a CD8 T cell-dependent manner, while its loss deregulates expression and localization of multiple tight junction proteins, enabling T-cell infiltration. We show that TROP2 targeting via hRS7, the antibody component of the ADC sacituzumab govitecan, enhances the anti-PD-1 response and improves T-cell accessibility and effector function. Correspondingly, TROP2 expression is highly associated with lack of response to anti-PD-1 therapy in human breast cancer. Conclusions This study defines a new mechanism of barrier-mediated immune exclusion in cancer controlled by TROP2-dependent tight junctions. This mechanism drives tumor progression but can be targeted via TROP2-directed therapy to activate antitumor immunity and enhance immunotherapy response.

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.