Citations

Background Grade group 5 (GG5) prostate cancer (PCa) carries a less favorable prognosis after standard-of-care (SOC) therapy, necessitating novel therapeutic approaches. High-dose rate brachytherapy (HDRBT) and androgen deprivation therapy (ADT) may modulate immune response in GG5 PCa, particularly in tumors with increased immune content. This study evaluated whether the addition of nivolumab to SOC was associated with improved disease control in patients with high-volume GG5 PCa, including those with oligometastatic disease. Methods In this non-randomized phase II trial, 31 patients with localized or oligometastatic GG5 PCa and >30% positive biopsy cores were evaluated between September 2018 and April 2021. Patients received four doses of nivolumab (240 mg every 2 weeks) beginning 4 weeks prior to HDRBT, alongside ADT, HDRBT, and external beam radiation. The primary endpoint was to evaluate whether the 2-year freedom from biochemical recurrence (FFBR) rate would exceed a prespecified historical control rate of 75%. Results Among the 31 patients, the median follow-up was 38.8 months (IQR 31.0–46.5 months). The addition of nivolumab to SOC RT with ADT was associated with a 2-year FFBR rate of 90.3% (95% CI 74.3% to 98.0%) (median FFBR not reached), exceeding the prespecified historical control rate of 75% (one-sided p value from binomial test=0.024). Definitive and probable nivolumab-related toxicity included 6.3% acute grade 2 and 6.3% acute grade 3 adverse events (AEs), with no grade 4+ AEs observed. A higher Decipher immunosuppression score at diagnosis correlated with early pathologic response (p=0.005) and was independently associated with time to metastatic failure (p=0.044). Conclusions Nivolumab combined with SOC was associated with encouraging FFBR in this high-risk GG5 PCa population and may represent a promising therapeutic intensification strategy. The Decipher immunosuppression score may serve as a predictive biomarker for response. These findings warrant further investigation in randomized trials.

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.

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.

Summary Frailty is independently associated with significantly higher 1‐year mortality and MACCE following MTEER. Frail patients also demonstrated increased risks of HF exacerbation, major bleeding, and readmission. Incorporating frailty assessment into pre‐procedural evaluation may improve risk stratification and guide personalized management strategies.

Abstract Background: Hematologic toxicity, including early and prolonged neutropenia, anemia, and thrombocytopenia, is among the most common and clinically significant complications after CD19, CD20, CD22 and BCMA-directed CAR-T therapy. Several clinical scoresmost notably CAR-HEMATOTOX (CAR-HT) and the refined ALL-HThave been developed to predict post-infusion cytopenias, but their comparative performance across diseases has not been systematically evaluated. No prior review has summarized existing models or assessed the need for AI-based predictive approaches. Methods: We conducted a systematic review of studies that developed or validated predictive models or risk scores for hematologic toxicity after CAR-T therapy in hematologic malignancies. Eligible studies included clinical, cytokine-based, or composite predictors and reported discrimination metrics such as area under the curve (AUC). Extracted variables included CAR-T product, target antigen, disease type, predictors used, model type, validation strategy, and performance statistics. Results were synthesized qualitatively due to heterogeneity in model structure and outcome definitions. Results: Studies on the CAR-HT score in B-cell lymphomas and multiple myelomas reported AUC values of 0.89 and 0.82, respectively, for predicting severe or long-term neutropenia after CD19 and BCMA-directed CAR-T therapy. Studies on the ALL-HT score (a modified/refined version of CAR-HT replacing ferritin with bone-marrow burden to improve discrimination in B-ALL) reported AUC 0.84-0.90 for predicting prolonged neutropenia and worse overall survivability (OS) after CD19/CD22 CAR-T. A multicenter study including aggressive/indolent NHL, MM/PCL, and ALL patients treated with CD19, CD20, or BCMA CAR-T reported AUC 0.87 (eIPM-Pre) and 0.88 (eIPM-Post) for predicting ICA-HT. A CD19 CAR-T study in B-ALL and LBCL reported AUC 0.85 for an early hematotoxicity nomogram using TNF- and CRP. Conclusion: Existing prediction tools for hematologic toxicity after CAR-T therapy demonstrate strong but disease-specific performance. Yet inconsistent endpoints and heterogeneous predictors limit clinical generalizability. No current model incorporates contemporary AI or machine-learning methods, underscoring a significant unmet need. Advanced predictive frameworks may allow earlier identification of patients at risk for severe or prolonged cytopenias and guide more individualized supportive care, with the potential to reduce downstream complications. Citation Format: Mansha Gupta, Abhijith Vemulapalli, Swathi Cherukuri, Rithish Nimmagadda, Akhil Jain. Predictive models for hematologic toxicity after CAR-T therapy: A systematic review of current risk scores and unmet AI needs [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 5202.

Abstract Therapeutic resistance limits the efficacy of radiation therapy in many tumors and provides a compelling rationale to develop novel treatments to enhance radiation sensitivity. DNA-dependent protein kinase (DNA-PK) is a major mediator of DNA repair following radiation, and DNA-PK inhibitors are effective radiosensitizers. WNC0901 is a potent DNA-PK inhibitor in both a cell-free kinase assay (IC50 = 0.073 nM) and a cell-based assay (IC50 = 76 nM). WNC0901 has a 30-fold specificity for DNA-PK relative to other PI3K-related kinases. In a broader kinome screen (363 kinases), 1 μM WNC0901 resulted in >25% inhibition of only five other kinases. There is robust inhibition of radiation-induced DNA-PK autophosphorylation (Ser-2056), as analyzed by Western blotting, with maximal effect at 300 nM WNC0901 in A549 (lung carcinoma), U2OS (osteosarcoma), and HT29 (colorectal) cells. The efficacy of WNC0901 as a radiosensitizer was evaluated in clonogenic assays across these same three radioresistant tumor models. Following treatment with graded concentrations of WNC0901 (0-1000 nM) combined with 2.5 Gy radiation, maximal effects were observed at a 300 nM concentration in A549 (88-fold reduction in relative clonogenic survival compared to RT alone, p<0.001), U2OS (5.8-fold decrease, p=0.002), and HT29 (59-fold decrease, p=0.008) In a full radiation clonogenic, the sensitizer enhancement ratio at 10% survival (SER10) was 3.8 (A549), 2.3 (U2OS), and 1.8 (HT29). In vitro metabolism studies have identified demethylated WNC0901 (WNC0901-M) as a major metabolite. Similar to the parent drug, WNC0901-M is a potent DNA-PK inhibitor with maximal radiosensitizing effects of the metabolite observed at 300nM with SER10 of 2.4 (A549), 1.9 (U2OS), and 1.8 (HT29). The in vivo efficacy of 50 mg/kg WNC0901 combined with 8 Gy was evaluated and compared to another DNA-PK inhibitor, 50 mg/kg peposertib, in A549 tumor heterotopic xenografts. Compared to placebo (median time to endpoint 63 days) or RT alone (median 72 days), the combination of WNC0901 and RT significantly delayed tumor regrowth (median 169 days; p=0.002 compared to RT). Interestingly, peposertib + RT was ineffective (median 83 days; p=0.332 compared to RT). In a second study, similarly robust sensitizing effects of WNC0901 was observed in HT29 xenografts (placebo - median 45 days; RT - median 75 days; RT + WNC0901 - median >110 days; p=.03 relative to RT). Together, these findings demonstrate the robust radiosensitizing effects of WNC0901 in radioresistant tumors and provide a rationale for continued development of this drug. Citation Format: Jessica L. Abraham, Ann C. Mladek, Sonia Jain, Shiv K. Gupta, Paul A. Decker, Matthew L. Kosel, Katrina K. Bakken, Brett L. Carlson, Lauren L. Ott, Danielle M. Burgenske, Jeanette E. Eckel-Passow, Wei Zhong, Jann N. Sarkaria. WNC0901 is a novel DNA-PK inhibitor and potent radiosensitizer of otherwise radioresistant solid tumors [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 6608.

Abstract Background Minimally invasive colorectal surgery is characterized by significant procedural variability, a difficult learning curve, and complications that affect patient outcomes. Video-based assessment offers an opportunity to generate data-driven insights to reduce variability, optimize training, and improve surgical performance. This mixed-methods study aimed to develop and validate a video-based assessment tool for workflow analysis across minimally invasive colorectal procedures. Methods An international steering committee panel of seven members coordinated a three-round modified Delphi process. Experts in colorectal surgery and video-based assessment were invited to reach consensus (≥ 70% agreement) on the phases and steps that describe workflows across colorectal surgery procedural videos. The resulting framework informed the development of ColoWorkflow. Four independent raters then applied ColoWorkflow to a multicentre video data set of laparoscopic and robotic colorectal procedures. Applicability and inter-rater reliability were evaluated. Results Of 66 invited experts, 41 (62%) from 11 countries completed round 1, 40 (98%) completed round 2, 20 attended the final online consensus meeting, and all (40 of 40) approved the final workflow descriptors. Consensus was achieved on nine procedure-agnostic phases (port placement and abdomen exploration; vascular dissection and ligation, mesocolon/mesorectum dissection, additional lymphadenectomy; colon and/or rectum mobilization; colorectal transection; anastomosis; completion of operation; preplanned additional procedures; unplanned procedures; extracorporeal procedures) and 34 procedure-specific steps that describe colorectal surgery workflows. ColoWorkflow was developed and applied to 54 colorectal surgery videos (left and right hemicolectomies, sigmoid and rectosigmoid resections, and total proctocolectomies) from five centres in four countries. The tool demonstrated broad applicability, as all phase and step labels, except one, were represented in at least one video. Inter-rater reliability was moderate, with a mean Cohen’s κ value of 0.72 for phases and 0.67 for steps. Most discrepancies arose at phase transitions and step boundary definitions. Conclusion Based on this preliminary work, ColoWorkflow is a promising tool for workflow analysis across minimally invasive colorectal procedures. Its adoption may help standardize training, accelerate competency acquisition, and advance data-informed surgical quality improvement.

Background Mortality in adults with congenital heart disease (CHD) is strongly driven by disease complexity. Social determinants of health (SDOH) influence adult CHD (ACHD) health outcomes but their impact on mortality is unclear. This study examined the influence of clinical factors and SDOH on all‐cause mortality in patients with ACHD. Methods Single‐center retrospective cohort study of patients with ACHD in the Mayo ACHD Registry who had a verifiable residential address between January 1, 2004 and December 31, 2023. Clinical and SDOH indicators were extracted, including insurance type, language, rural–urban commuting area code, and a housing‐based socioeconomic index, an individual‐level measure of socioeconomic status derived from 4 objective housing characteristics and categorized into quartiles (Q1–Q4). Cox proportional‐hazards models were fitted to evaluate associations with mortality, incorporating CHD severity, arrhythmias, SDOH indicators, and other comorbidities. County of residence was included as a random effect, and model discrimination was assessed using the concordance statistic. Results Among 6134 patients with ACHD, the mean age was 38±16 years; 51% were male; 78.7% were White and 44.9% had rural residence. Independent predictors of mortality included cyanotic CHD (adjusted hazard ratio [aHR], 5.70 [95% CI, 2.90–11.23]), Fontan palliation (aHR, 4.98 [95% CI, 2.56–9.70]), ventricular tachycardia (aHR, 1.71 [95% CI, 1.16–2.52]), older age at first visit (aHR, 1.05 per year [95% CI, 1.04–1.05]), male sex (aHR, 1.19 [95% CI, 1.03–1.39]), public insurance (aHR, 1.60 [95% CI, 1.35–1.90]), rural residence (aHR, 1.25 [95%, CI 1.06–1.47]), and non‐English language (aHR 1.75 [95% CI 1.38–2.23]). The housing‐based socioeconomic index quartile was not associated with mortality. The final model achieved a concordance statistic of 0.77. Conclusions Mortality in patients with ACHD is strongly influenced by both clinical factors and SDOH, independent of socioeconomic status. Addressing barriers to care such as language, insurance, and geography is essential for improving ACHD survival particularly in those at increased mortality risk.