Citations

Abstract Aims This study aimed to establish 2D and M-mode echocardiographic reference values for cardiac chambers, outflow tracts, and great vessels for school children living at high altitudes, differentiated between males and females. Methods and results This post hoc analysis included children with normal echocardiography from a cluster randomized cross-sectional survey of rheumatic heart disease among school children in Peru. The echocardiograms were acquired with a portable machine and the images were analysed centrally with a standardized methodology. Body surface area (BSA) was used as an independent variable to predict the mean values of echocardiographic measurements for both male and female groups. Reference values are presented on z-scores and nomograms based on sex. Propensity score matching was used to compare sexes. A total of 985 students aged 5–16 years were included. The Haycock formula provided the best fit and was used when presenting data as predicted values for a given BSA. The z-score and nomograms for all essential parameters of cardiac chambers, great vessels, and functional surrogates are presented based on sex. The majority of the parameters were significantly different per sex after propensity score matching. Conclusion Normal reference values and nomograms of cardiac chambers, outflow tracts, and great arteries in healthy school children living at high altitudes based on sex were reported. These data partly addressed the existing gaps in paediatric echocardiographic nomograms.

Human immune system (HIS) mice constructed in various ways are widely used for investigations of human immune responses to pathogens, transplants, and immunotherapies. In HIS mice that generate T cells de novo from hematopoietic progenitors, T cell-dependent multisystem autoimmune disease occurs, most rapidly when the human T cells develop in the native NOD.Cg- Prkdc scid Il2rg tm1Wjl (NSG) mouse thymus, where negative selection is abnormal. Disease develops very late when human T cells develop in human fetal thymus grafts, where robust negative selection is observed. We demonstrate here that PD-1 + CD4 + peripheral (Tph) helper-like and follicular (Tfh) helper-like T cells developing in HIS mice can induce autoimmune disease. Tfh-like cells were more prominent in HIS mice with a mouse thymus, in which the highest levels of IgG were detected in plasma, compared to those with a human thymus. While circulating IgG and IgM antibodies were autoreactive to multiple mouse antigens, in vivo depletion of B cells and antibodies did not delay the development of autoimmune disease. Conversely, adoptive transfer of enriched Tfh- or Tph-like cells induced disease and autoimmunity-associated B cell phenotypes in recipient mice containing autologous human APCs without T cells. Tfh/Tph cells from mice with a human thymus expanded and induced disease more rapidly than those originating in a murine thymus, implicating HLA-restricted T cell-APC interactions in this process. Since Tfh, Tph, autoantibodies, and lymphopenia-induced proliferation (LIP) have all been implicated in various forms of human autoimmune disease, the observations here provide a platform for the further dissection of human autoimmune disease mechanisms and therapies.

OBJECTIVE Despite the known negative physiological impact of repeated mild head trauma events, their multiplicative impact on long-term seizure risk remains unclear. The objective of this study was to evaluate how multiple mild traumatic brain injuries (mTBIs) impact long-term seizure risk by testing 3 distinct machine learning approaches. Baseline and injury-specific characteristics were incorporated to enhance prognostication of individual seizure risk. METHODS Children with at least 1 mTBI event without prior evidence of seizure or antiepileptic drug treatment, from 2003 to 2021, were identified from a nationally sourced administrative claims database. The primary outcome of interest was a seizure event after mTBI, defined by qualifying principal diagnosis codes. Time-varying multivariable Cox regression was used to assess the impact of repeated mTBI. RESULTS A total of 156,118 children (mean age 11.7 ± 4.7 years) were included, with a median follow-up duration of 22.6 months (IQR 9.2–45.4 months). Among patients who experienced seizure after mTBI, the median time to seizure was 306 days. Seizures among those with radiographic findings and/or loss of consciousness occurred earlier (median time to seizure 112.5 days [imaging findings only, IQR 5–526.25 days], 80 days [loss of consciousness only, IQR 7–652 days], 22 days [both, IQR 5–192 days]). Both mTBI without and with short-term loss of consciousness resulted in increasing seizure risk with repeated trauma (HR 1.196, 95% CI 1.082–1.322; HR 2.025, 95% CI 1.828–2.244; respectively). The random survival forest approach achieved fixed-time areas under the receiver operating characteristic curve of 0.780 and 0.777 at 30 and 90 days after mTBI, and children predicted at high risk by the final model experienced a significantly higher burden of early seizure after mTBI (46.7% within the first 30 days vs 17.7% and 19.9% of children at low and medium risk). A simplified model using the top 12 contributing features achieved 95% of the full model’s performance in the validation set. CONCLUSIONS A novel machine learning model was developed and validated for personalized prediction of long-term seizure risk following multiple mTBIs. Model performance remained robust with a limited feature set, suggesting the feasibility of real-time incorporation into clinical workflows for individualized prognostication following each repeat mTBI event. In children predicted to be at high risk, early intervention should be considered.

Abstract Background: Fibroblast activation protein (FAP) is a type II integral membrane glycoprotein, highly expressed on the cell surface of cancer-associated fibroblasts (CAFs) present in the tumor microenvironment of most epithelial cancers and showing limited expression in normal tissues. Given this expression profile, FAP appears to be a promising target for radioligand therapy that has pan-cancer potential. [177Lu]Lu-NNS309 is a FAP-targeted radiopharmaceutical that shows improved tumor retention and demonstrates promising anti-tumor activity in translationally relevant preclinical models (e.g., PDAC, NSCLC) where FAP is expressed on CAFs. Methods: CFXX489A12101 (NCT06562192) is a first-in-human phase I, open-label, multi-center study of [177Lu]Lu-NNS309 in patients with pancreatic ductal adenocarcinoma (PDAC), non-small cell lung cancer (NSCLC), breast cancer (BC), and colorectal cancer (CRC). The study includes a dose escalation part followed by a dose expansion part. Key eligibility criteria include prior treatment for locally advanced unresectable or metastatic disease and having all measurable lesions (per RECIST 1.1) showing [68Ga]Ga-NNS309 uptake on positron emission tomography/computed tomography (PET/CT). Patients who are eligible for treatment receive one dose of [177Lu]Lu-NNS309 on day 1 of each cycle. A 6-week and a 4-week dosing schedule will be explored. Dosimetry data will be obtained from patients in the dose escalation part after the first dose and will be used to calculate the cumulative radiation exposure. Dose escalation will be guided by a Bayesian hierarchical logistic regression model with overdose control (EWOC) principle, and assessment of all relevant data available from all dose levels including safety, tolerability, clinical dosimetry, pharmacodynamics, and preliminary efficacy. Once the recommended dose(s) (RD) and schedule(s) of [177Lu]Lu-NNS309 are determined, the expansion part may open and will include patients with locally advanced or metastatic PDAC (n∼20), locally advanced or metastatic NSCLC (n∼20), HR+/HER2- ductal BC (n∼15), HR+/HER2- lobular BC (n∼15), and triple negative BC (; n∼24).The primary objectives of the study are to evaluate the safety and tolerability of [177Lu]Lu-NNS309 and to identify the RD(s) and regimen(s) of [177Lu]Lu-NNS309 for further clinical evaluation. Secondary objectives of the study are to evaluate the preliminary anti-tumor activity of [177Lu]Lu-NNS309, characterize the pharmacokinetics of [177Lu]Lu-NNS309 in blood and urine, the radiation dosimetry for organs and tumor lesions, and to evaluate the safety and imaging properties of [68Ga]Ga-NNS309. Conclusion: The study is currently enrolling in the dose escalation part. Citation Format: Ravit Geva, Daniel Juneau, Shadi Abdar Esfahani, Cristiano Ferrario, Farshad Moradi, Amir Iravani, Jordi Ahnert, Ivan Manuel Victoria Ruiz, Thibaud Koessler, Aitana Calvo Ferrandiz, Bernard Doger de Speville, Patrick Flamen, Albiruni Razak, Desiree Deandreis, Laure Al-Mansour, Niklaus Schaefer, James Nagarajah, Hilde Nienhuis, Marco Maccauro, Angelina Filice, Jonathan Goldman, Ken Herrmann, Matthias Eiber, Alexander Drzezga, Martin Heuschkel, Jonathan McConathy, Johnson Geoffrey, Ephraim Parent, Yasutoshi Kuboki, Shizuka Origuchi, Xuan Mai Couillebault, Elisa Garcia Garayoa, Jayarama Naidu Roopa, Christopher Straub, Dominik Hainzl, Xinyu Chen, Fang Yang, Eirini Pectasides, Brandon Mancini. Phase I open-label, multi-center study to evaluate the safety, tolerability, dosimetry, and preliminary activity of FXX489 ([177Lu]Lu-NNS309) in patients with pancreatic, lung, breast and colorectal cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr CT112.

Abstract Chimeric antigen receptor T (CART) cell therapy has shown clinical successes in B cell hematological malignancies. Two B cell maturation antigen (BCMA)-directed CART cell therapies treating multiple myeloma (MM) were approved by FDA but most patients relapse within 1-2 years. Ex vivo-expanded antigen specific T cells as cancer treatment rely on TCR-mediated killing of tumors. We hypothesized that arming ex vivo enriched tumor-specific T cells with CARs targeting a different antigen improves T cell functions. First, we expanded mucin 1 (MUC1)-activated T cells from patients with MM through ex vivo stimulation by MUC1 peptides-loaded autologous PBMCs for 19 days. Then, we engineered MUC1-activated T cells with 4-1BB-co-stimulated BCMA CAR to generate MUC1 TCR+BCMA CAR+ T cells. Baseline T cells without MUC1 stimulation were engineered with BCMA CAR as control. Baseline T cells, MUC1 T cells, baseline BCMA CART cells, or MUC1 BCMA CART cells were cocultured with luc+ RPMI-8226, a MUC1+BCMA+ MM cell line, for 3 days. MUC1 BCMA CART cells showed stronger tumor killing than BCMA CART or MUC1 T cells in all 3 patients (p<0.0001). MUC1 BCMA CART showed improved proliferation than BCMA CART or MUC1 T cells (p=0.0765, p<0.0001, respectively) after a 5-day stimulation by RPMI-8226. To exclude possibility of metabolic alterations by 19-day PBMC incubation leading to better T cell functions in MUC1 BCMA CART, baseline and MUC1-stimulated T cells from 3 healthy donors were processed for the same assays. Day-19 BCMA CART cells showed inferior tumor killing compared to baseline BCMA CART in all 3 donors (p<0.0001). Lower T cell proliferation was also observed in day-19 BCMA CART (p=0.0838). Our data indicate that improved T cell functions in MUC1 BCMA CART were unlikely due to metabolic changes and required stimulation by tumor antigens prior to CAR engineering likely through MUC1 TCR. Additionally, MUC1 T cells, BCMA CART, or MUC1 BCMA CART cells from tested patients were stimulated by RPMI-8226 for bulk RNA sequencing. Both BCMA CART and MUC1 T cells had distinct transcriptomic features from MUC1 BCMA CART cells. Differential gene expression analysis showed upregulation of T cell function-associated genes (RYR2, ITGA1, GNLY, GZMA, etc.) in MUC1 BCMA CART vs BCMA CART. Enrichment of T cell function-associated pathways was also observed in MUC1 BCMA CART. Analysis between MUC1 T cell and MUC1 BCMA CART showed upregulation of T cell function-associated genes (CSF2, CRTAM, IFNG, GZMB, etc.) and enrichment of immune response pathways in MUC1 BCMA CART. Our findings suggest that equipping ex vivo-enriched tumor-specific T cells with CARs targeting a different antigen improves T cell functions in vitro. Importantly, this provides a rationale for a therapeutic regimen where patients receive ex vivo-enriched tumor-induced T cells followed by CAR engineering. Persistence of the engineered T cells is being investigated Citation Format: Kun Yun, R. Leo Sakemura, Ismail Can, Omar Gutierrez Ruiz, Ekene J. Ogbodo, Truc N. Huynh, Claudia Manriquez Roman, Olivia Sirpilla, Carli M. Stewart, Jennifer M. Feigin, Grace E. DeFranco, Sophia Y. Goldberg, Dominic A. Skeele, Mariam Stein, Dara Missan, Latha Pathangey, Long Mai, Hong Xia, Brooke Kimball, Lionel A. Kankeu Fonkoua, Mehrdad Hefazi, Michael W. Ruff, Elizabeth L. Siegler, Leif Bergsagel, Michael Gustafson, Sandra Gendler, Saad S. Kenderian. BCMA CAR engineering arms T cells with superior functions post ex vivo stimulation by MUC1 peptide-loaded autologous PBMCs [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6103.

The importance of having region-specific data when planning health interventions has become evident in recent years. Nonetheless, several world regions, including Latin America and the Caribbean (LAC), still face significant challenges. These regions need to develop strategies specifically designed to consider the inherent characteristics of their population composite and sociodemographic characteristics. More than 20% of the global cancer incidence arises in LAC. Yet, treatment, prevention, and follow-up guidelines in the area are frequently based on studies that mainly include patients from North America, Europe, and Asia. As personalized approaches become ubiquitous in medical practice, the amount of information emerging from LAC has risen considerably. In this review, we seek to present a comprehensive summary of the frequency of germline genetic variants in hereditary cancer syndromes in patients from LAC. The data highlight relevant differences in variants associated with LAC patients, including founder and recurrent variants, while showcasing potential features that might be relevant in oncology practices.

Abstract This study explores parallels between systemic hypoxia adaptation in high-altitude populations and tumorigenesis. We identified EPAS1, a gene critical for hypoxia adaptation in populations such as Tibetans and Sherpas, as playing a similar adaptive role in tumors arising under hypoxic conditions. Tumors from patients with chronic hypoxia displayed impaired DNA repair and frequent emergence of EPAS1 variants, with frequencies reaching up to 90%, echoing the positive selection seen in high-altitude dwellers. Mechanistically, EPAS1 gain-of-function mutations promote COX4I2 expression, reducing cellular oxygen consumption and supporting tumor proliferation in hypoxia. Analysis of clinical data from patients with hypoxia revealed tissue-specific and time-sensitive tumorigenic effects, particularly impacting oxygen-sensitive cells in the postnatal period. Our findings suggest that EPAS1-driven adaptation mechanisms in high-altitude populations provide a model for understanding tumor evolution under hypoxic stress, highlighting how genetic adaptations to diverse stressors in natural populations may yield insights into tumorigenesis and cancer progression. Significance: This study reveals a broad convergence in genetic adaptation to hypoxia between natural populations and tumors, suggesting that insights from natural populations could enhance our understanding of cancer biology and identify novel therapeutic targets. See related commentary by Lee, p. 875

Abstract Background: Pharmacogenomic studies on antidepressant treatment outcomes could be conducted using previously collected data from electronic health record (EHR)-linked biobanks. However, absence of EHR based outcome measures is an unmet need in designing such studies We aimed to define EHR-derived antidepressant outcome measures and explore their utility in showing associations between treatment outcomes and Cytochrome P450 (CYP) metabolizer phenotypes in a proof-of-concept study. Methods: Using data from the EHR-linked cohort, Right Drug, Right Dose, Right Time: Using Genomic Data to Individualize Treatment (RIGHT 10K) Study, we collected prescription data and patient health questionnaire 9 (PHQ-9) scores to compute 3 proxy measures for antidepressant response, efficacy, and acceptability: change in PHQ-9 scores, longest treatment interval with a single antidepressant, and antidepressant non-refill. Subsequently, we tested the association of both prescription-based outcomes with DNA-predicted CYP metabolizer phenotypes in European-ancestry participants. Results: We identified 3920 RIGHT 10K participants with at least 1 antidepressant prescription and European-ancestry. Participants had a mean age of 61 years and 72% were women. Implementation of the PHQ-9 outcome was not feasible because of missingness. Of both prescription-based outcomes, antidepressant non-refill reproduced several known antidepressant-CYP interactions. However, the pilot was limited by small subgroups of participants with non-normal metabolizer phenotypes. Conclusions: Derived from structured data, antidepressant non-refill is a promising outcome measure for EHR-linked biobanks that partially reproduced antidepressant-CYP interactions. However, testing on larger datasets is necessary to understand whether it would be a useful for pharmacogenomic research.