Citations

Primary and metastatic brain tumors exhibit resistance to immunotherapies that demonstrate efficacy in peripheral cancer settings. While many immunotherapies aim to enhance CD8 + T cell infiltration and functionality in established tumors, identification of neoantigens support emerging immunopreventative tactics against brain cancer. Functionally potent tissue-resident memory CD8 + T cells (T RM ) can be generated in the brain following peripheral infection or vaccination. However, the ability of brain T RM to prevent intracranial malignancy remains unknown. Here, mice were seeded with tumor-specific or bystander brain T RM via peripheral infection prior to depletion of circulating memory T cells (T CIRCM ) and subsequent brain tumor challenge. Tumor-specific brain T RM durably protected mice against intracranial malignancy even in the absence T CIRCM . These brain T RM persisted in tumor-surviving mice and protected against a second antigen-matched challenge. Importantly, a translationally-relevant mRNA-lipid nanoparticle (LNP) vaccine phenocopied peripheral infection-induced outcomes, generating functional brain T RM that controlled tumor growth. Altogether, this work points to the utility of brain T RM in cancer immunoprevention, supporting the development of antitumor mRNA-LNP vaccines to bolster brain immunity.

ABSTRACT Background Journal clubs provide opportunities for discussion of new and evolving practices and technologies. Objective We sought to evaluate the utility and effectiveness of a monthly web‐based cosmetic dermatology journal club facilitated by faculty, residents, and medical students. Results From May 2025 to September 2025, 16 articles were discussed and 41 responses were recorded (response rate: 60%). Most respondents found the journal club was an appropriate length, engaging, and very useful. Relevance, frequency, and likelihood to participate in the future varied significantly by participant type. Medical students and residents collectively considered the journal club too infrequent ( p = 0.03) and reported it had less relevance to their practice ( p < 0.001). Conclusion A monthly web‐based cosmetic dermatology journal club was generally positively received by respondents.

BACKGROUND: Burnout remains prevalent among anesthesiology residents. Contributing workplace factors include limited control over scheduling, unpredictable hours, critical patient care needs, and other residency challenges. The Family Anesthesia Experience (FAX) is a program designed to educate residents and their support persons on wellness and residency demands. The focus of this multisite study was to evaluate the impact of FAX on first year clinical anesthesiology (CA1, ie, PGY2s) residents’ wellness. METHODS: This was a prospective evaluation study involving 15 US anesthesiology residency programs, 13 of which completed FAX. CA1 wellness was evaluated through surveys assessing perceived stress as the primary outcome, with exploratory outcomes including burnout, depression, psychological wellness, and social support. Additionally, changes in support persons’ understanding and knowledge of residency demands were tracked over time. The study included a historical control group of 302 CA1s (2019-2021) who did not participate in FAX, and an intervention group of 88 CA1s that participated in FAX (2021-2022). Statistical analyses compared changes in metrics between groups using linear mixed models and generalized linear models. RESULTS: Significant reductions in perceived stress were observed in the intervention group at 6 months post-FAX (mean change = –2.14, 95% CI, –3.95 to –0.34; P = .021, effect size = 0.58) relative to the control group, but there was no sustained difference at 12 months. Compared to the control support persons, intervention support persons reported increased understanding of residency demands, with significant improvements at 6 (mean change = 2.80, 95% CI, 1.12–4.48; P = .001, effect size = 0.77) and 12 (mean change = 2.59, 95% CI, 0.12–5.05; P = .039, effect size = 0.71) months. Improvement in support persons’ understanding did not predict changes in CA1 wellness outcomes. First generation physician residents reported lower family support at baseline but showed significant improvements in family support at 6 months (mean change = 3.05 points; 95% CI, 0.25–5.84; P = .033; effect size = 1.23) compared to their non first generation peers. CONCLUSIONS: FAX participation was associated with reduced perceived stress in residents up to 6 months post-intervention. First generation physicians experienced greater improvements in perceived family support compared to their non first generation peers. Our findings suggest that resident wellness may be enhanced by engaging both residents and their support persons in an educational wellness program that outlines the professional expectations and demands of anesthesiology residency training.

Abstract Introduction: COE has become the gold standard in addressing health disparities. COE’s value is emphasized by NIH and leading cancer-related organizations e.g., AACR. The Alliance for COE (The Alliance) mission is to advance the art, science, and impact of COE; promote community health and wellness; and reduce cancer burden and disparities. Methods: This abstract builds on the Alliance’s Science of Community Outreach and Engagement (SoCOE) Conference a NCI R13 funded series. SoCOE Conference is organized by 10 NCI-designated Cancer Centers to provide a platform for COE academic-clinical-policy-community stakeholders to share best practices for solution-focused community responsive cancer prevention, diagnostics, therapeutics and survivorship research and practice. Results: &gt; 500 researchers, clinicians, policymakers, healthcare administrators, with &gt;12% being survivors and/or advocates, participated in our SoCOE Conferences. The delegates’ recommendations are: Decentralize who/entities that hold all the power in science and clinical research (trials). Communities hold valuable, necessary wisdom and resources to inform and guide science Include multisectoral partners early and always Community capacity building and compensation with gratitude Mentoring of junior COE researchers, clinicians, policymakers, healthcare administrators, survivors and advocates with humility is a must Develop virtual communities to share best practices across cancer centers and within regions Develop working groups to identify and explore commonalities across COE work in rural/urban, diverse/homogenous spaces Publish Science of COE papers on various topics related to COE Frameworks and evidenced-solutions Provide community reports on best practice guide that can be widely available to be shared locally and in-person, and digitally Partner and learn from COE teams working with other cultural/ethnic groups Attend to, measure and remedy societal/social drivers of health disparities that mirror barriers to care, and research engagement and participation. Discussion: Informed by our community advisory boards and the findings for our SoCOE Conferences, we present the pillars of the Alliance to tackle population cancer burden and disparities: Training future COE leaders/advocates, Advocating for public health policies/guidelines, Increasing access to cancer prevention and care that will also increase access to studies, Engaging and partnering with multisectoral stakeholders and communities, Building community capacity, Advancing COE science through catchment-relevant research, and Leading bi-directional communication and information and resource sharing between catchment area communities and cancer centers. The expectation and impact of COE can only be achieved if COE teams are valued, supported cancer center members with community advisory boards and community as cancer centers’ priority population. Citation Format: Kimlin Ashing, CHARNITA ZEIGLER-JOHNSON, Hayley S. Thompson, Kim Rhoads, Nadine Barrett, Lisa Carter Bawa, Timiya S. Nolan, Monica Baskin, Vanessa B. Sheppard, Marvella E. Ford, Erica Phillips, Lorna H. McNeill, Folakemi T. Odedina. Advancing the science, practice and impact of COE [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 7577.

Abstract Large Language Models (LLM) are being widely adopted into the medical field for their impressive ability to analyze and summarize large amounts of text data. These models enable clinicians and researchers to extract meaningful insights from complex datasets and may assist with decision making. Here we present our workflows and application of LLM for the interpretation and summarization of clinical data related to CAR-T cell therapy. Using an LLM (Gemini 2.5 pro) in the Google Cloud Computing (GCP) environment, two applications were developed to analyze CAR-T cell therapy clinical data: 1) extracting and summarizing CRS and ICANS event-related data to streamline the compliance team workflow, and 2) identifying features available at time of CAR-T infusion able to classify patients into high- or low-monitoring needs 14 days post CAR-T. Patient data (vitals, labs, hematology notes, and EKGs) were extracted from the electronic medical record (EMR) using Google BigQuery into SQL tables in GCP. For each application, relevant data fields were retrieved, formatted into JSON objects, and embedded in the LLM prompt for context-aware processing. Both applications have undergone iterative prompt engineering after analyzing the LLM output against ground truth data in the EMR. For the application extracting and summarizing CRS and ICANS events, the LLM was optimized on Mayo Clinic Rochester data. When compared to the IEC compliance database, the LLM achieved 100% accuracy and F1 score for CRS events, and 96% accuracy and 82% F1 score for ICANS events. The match rate for CRS and ICANS grades were 83% and 89% respectively. We applied the same LLM to Mayo Clinic Arizona (MCA) and Mayo Clinic Florida (MCF) cases, who document clinical notes and toxicity flowsheet differently, and achieved an accuracy (MCA: 93%, MCF:93%) and F1 score (MCA: 96%, MCF: 96%) for CRS and accuracy (MCA: 81%, MCF:82%) and F1 score (MCA: 76%, MCF: 75%) for ICANS. LLM was able to capture events missed by manual reviews. For most of the discrepancies where compliance team final adjudication is needed, LLM will be updated to flag discrepancies for review by the compliance team. For the application related to the monitoring needs 14 days post CAR-T, the LLM identified 5 categories predictive of high or low monitoring needs post CAR-T infusion (disease status, inflammatory and tumor burden markers, hematologic status, renal function and performance status). Our model achieved a sensitivity of 85.7%, specificity of 23.8%, and F1 score of 65.5% for our first cohort, compared with data extracted by the LLM from the EMR. For our second cohort, with demographics statistically similar to cohort 1 and using the same 5 categories, the LLM achieved a sensitivity of 83.3%, a specificity of 28.6%, and F1 score of 65.4%. Our workflow and applications of LLM’s provide examples and guidance to others interested in applying LLM’s for clinical and research applications. Citation Format: Emmanuel Contreras Guzman, Matthew Jankowski, Andre De Menezes Silva Corraes, Malvika Gupta, Monica L. Shaw, Madiha Iqbal, Talal Hilal, Saurabh Chhabra, Ricardo Daniel Parrondo, Jody K. Mclean, Kim R. Riester, Kayla Joseph, Melinda Tan, Holly Ross, Cleyonia Barnett, Sylvia Carter, Semy Girmay, Rachel Wolan, Milana Ramsey, Christian Downhour, Kristy Morgan, Shae Sibley, Erica Rushing, Lucy Holmes, Allison Burgstahler, Stephen M. Ansell, Hassan Alkhateeb, Matthew Hathcock, Ramona Bruno, Allison C. Rosenthal, Hemant Murthy, Patrick B. Johnston, Jonas Paludo, Yi Lin. Applications of large language models to CAR-T cell therapy clinical data using Google cloud computing [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 2740.

Abstract Background: MHC class II molecules are normally restricted to professional antigen-presenting cells. Prior TNBC studies have focused on immune-compartment MHC-II. Using spatial transcriptomics, we recently identified aberrant tumor-cell MHC-II expression. Here, we characterized the immune architecture surrounding HLA-DRA-expressing tumor cells. Methods: High-plex single-cell spatial transcriptomics (CosMxTM SMI) was performed on treatment-naïve TNBC (Mayo TMA, n=65) and two neoadjuvant pembrolizumab cohorts (Mayo n=8; Emory n=4). Spatial neighborhoods were mapped relative to HLA-DRA-high tumor cells. Differential expression and adaptive immune gene-set scores were evaluated. Clinical relevance was assessed using FinXX (n=114), I-SPY2 (n=364), and Caris CODEai (n=3,662). Results: HLA-DRA-high tumor regions showed significant enrichment of adaptive immune subsets within ≤50 μm, including B cells, CD8+ T cells, NK cells, macrophages, and plasmacytoid dendritic cells. In pembrolizumab-treated cohorts, responders exhibited higher proportions of HLA-DRA-high tumor cells and greater numbers of B cells, plasmablasts, CD4+ and CD8+ T cells, and macrophages near tumor cells. Responders’ tumors showed upregulation of antigen-presentation machinery, B-cell/plasma-cell programs, CXCL13, and NOTCH3/DLL1. Across I-SPY2 and FinXX, higher HLA-DRA correlated with pathologic complete response and improved survival. In CODEai TNBC, high HLA-DRA expression correlated with higher CXCL13 (median TPM 7.5 vs. 1.1, q&lt;0.05) and longer overall survival (24.2 vs. 18.5 months, HR 0.77, 95% CI 0.71-0.83, p&lt;0.0001). This association was TNBC-specific. High CXCL13 also predicted improved survival (26.6 vs. 16.5 months, HR 0.64, 95% CI 0.59-0.69, p&lt;0.0001). Conclusions: Tumor-cell HLA-DRA expression defines a highly organized adaptive immune niche enriched with B cells and activated T-cell populations in close proximity. Adaptive immune programs—including enhanced antigen presentation and CXCL13-mediated B-cell/plasma-cell pathways—consistently associate with improved outcomes across TNBC cohorts treated with chemotherapy and immune checkpoint blockade. Aberrant tumor-cell MHC-II expression may contribute to antitumor immunity and warrants further investigation as a potential therapeutic target. Citation Format: Yi Liu, Sachin Kumar Deshmukh, Thiti Susiriwatananont, Panuch Eiamprapaporn, Bogang Wu, Heikki Joensuu, Roberto A. Leon-Ferre, David Zahrieh, Judy C. Boughey, James Newell Ingle, Fergus J. Couch, Sharon Wu, Shipra Gandhi, Maryam Lustberg, George W. Sledge, Matthew P. Goetz, Keith L. Knutson, E Aubrey Thompson, Jodi Carter, Saranya Chumsri. Spatially resolved tumor-cell MHC class II shapes adaptive immunity and therapeutic response in triple-negative breast cancer [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 1200.

This study identifies 3-mercaptopyruvate sulfurtransferase (MPST) as a previously unrecognized regulator of neonatal airway epithelial development. In our neonatal patient-derived three-dimensional organotypic model, hyperoxia reduces MPST, and MPST loss alters mitochondrial metabolism and epithelial differentiation programs. These findings indicate that MPST deficiency contributes to mitochondrial dysfunction under hyperoxic conditions and highlight MPST-linked pathways as potential therapeutic targets to mitigate early-life airway injury and remodeling relevant to infants with bronchopulmonary dysplasia (BPD).

ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed by institutions participating in the Pediatric Surgical Oncology Research Collaborative. Children younger than 21 years old with MRTK diagnosed between 2000 and 2022 were included. Results Sixty‐nine patients were identified with MRTK and met the inclusion criteria. Median age of diagnosis was 10.1 months. Overall survival (OS) at 1, 5, and 10 years was 49%, 32%, and 19%, respectively. Patients with local Stage III disease who underwent upfront resection ( n = 18) compared to those who had delayed resection after NAT ( n = 15) had a similar OS, median OS greater than 60 months versus 14.6 months, respectively; p = 0.396. The surgical timing groups were balanced in terms of the presence of metastasis, length of follow‐up, and tumor characteristics. There was one occurrence of primary intraoperative tumor spill and two occurrences of organ injury in the upfront resection group compared to none in the delayed resection group. Conclusion MRTK carries a poor prognosis despite multimodal treatment. Histologic diagnosis may not be confirmed at presentation, and MRTK cannot be reliably distinguished from Wilms tumor on imaging alone. As overall survival is similar, the decision regarding surgical timing in locally advanced tumors should be individualized based on perceived resectability, balancing the risk of intraoperative complications against the possibility of tumor progression during neoadjuvant therapy.

Abstract The recent FDA approval of the first T-cell receptor–engineered (TCR) T-cell cancer therapy has solidified the treatment as a viable therapeutic strategy. However, only a fraction of patients who received this treatment achieved substantial and long-lasting responses, highlighting the need to understand the molecular underpinnings of these responses and develop more effective strategies to improve this therapy. Previous research has demonstrated that the activation of myeloid differentiation primary response 88 (MyD88) signaling in tumor-specific T cells functions as a robust costimulatory signaling pathway that promotes effective antitumor T-cell responses. In this study, we developed a strategy for improving TCR T-cell therapies by creating a synthetic TCR in which the intracellular domain of CD3ζ and a modified MyD88 are appended to the β-chain of a tumor-reactive TCR. The β:CD3ζ:MyD88 TCR activated MyD88 signaling in a tumor antigen/TCR-specific manner, and β:CD3ζ:MyD88 TCR T cells exhibited enhanced functionality and a reduced propensity to become exhausted. Furthermore, MyD88 signaling promoted T-cell persistence and expansion in vitro. In vivo, tumor-infiltrating β:CD3ζ:MyD88 TCR T cells skewed the immunosuppressive tumor microenvironment toward a less immunosuppressive state. Finally, β:CD3ζ:MyD88 TCR T cells substantially delayed tumor growth kinetics in a melanoma model. These findings introduce an approach for improving TCR-dependent T-cell responses by directly appending signaling domains to the full-length TCR and exemplify the utility of activating MyD88 signaling in tumor-specific T cells. Significance: A chimeric β:CD3ζ:MyD88 TCR reduces exhaustion and improves antitumor T-cell responses, overcoming the limited efficacy of current TCR-engineered T-cell cancer therapies.

Background and Objective: Radiographic progression in prostate cancer (PCa) can occur even when prostate-specific antigen (PSA) levels are undetectable. We aimed to determine the frequency and characteristics of radiographic disease progression (rDP) on PSMA PET/CT in patients with undetectable PSA, referred to as PSA zero rDP. Methods: We analyzed the Mayo Clinic PSMA PET Prostate Cancer Registry to identify patients with rDP on PSMA PET/CT despite undetectable PSA levels. Disease progression was confirmed via biopsy or treatment response. The cohort included patients with non-metastatic and metastatic hormone-sensitive disease, as well as those with castration-resistant prostate cancer at the time of imaging. Overall survival (OS) was estimated using the Kaplan–Meier method. Group comparisons were performed with the log-rank test. Univariate Cox regression was used to identify factors associated with poor OS. Key findings and Limitations: Among 2141 patients imaged between 2021 and 2023, 257 (12%) had PSA zero rDP. Sixty-one percent had initially localized disease; 39% had de novo metastatic disease. Median (IQR) time from diagnosis to PSA zero rDP was 51.9 (18.4–115.5) months. A total of 184 patients (72%) progressed to castration-resistant PCa. Sites of rDP included bone (57%), visceral (15%), lymph node (18%), and local recurrence (10%). During median follow-up of 8.1 (3.5–11.9) months, 5% of patients died. Only visceral metastases were significantly associated with poorer OS (p < 0.0001). Conclusions and Clinical Implications: Prostate cancer patients frequently develop metastatic disease with undetectable PSA values. Our findings suggest the use of periodic advanced imaging techniques, irrespective of PSA value, for more prompt detection and early management of disease progress.