Citations

Abstract Purpose Validate the semiquantitative (SQ)-MRI score for chronic pancreatitis (CP) diagnosis in an independent, multicenter cohort. Methods We analyzed MRIs performed at baseline in 337 participants with acute (AP) or recurrent AP (RAP) and 67 with non-calcific chronic pancreatitis (NCCP) enrolled in the PROCEED study from 6/2017 to 3/2023. MRIs were performed at multiple clinical centers using site-specific clinical protocols and a variety of MRI vendors to evaluate the SQ-MRI score in a real-world setting. The SQ-MRI score was calculated using the T1 signal intensity ratio of the pancreas to the spleen (T1 score), arteriovenous enhancement ratio (AVR), and pancreatic body diameter (PBD). We adjusted for confounding by participant characteristics via propensity score weighting. Results Median AVR was higher in AP/RAP (1.18, IQR: 0.97–1.44) than in the NCCP group (1.03, IQR: 0.78–1.22, p = 0.007). Pancreatic body diameters were larger in AP/RAP than in the NCCP group − 7–14 mm (10% vs 25%), 14–20 mm (40% vs 54%), and > 20 mm (50% vs 21%), respectively ( p < 0.01). Median T1 score was higher in AP/RAP (1.18, IQR: 0.96–1.40) than in the NCCP group (1.04, IQR: 0.86–1.32, p = 0.10). Median SQ-MRI score in the AP/RAP group was significantly lower, 1.91 (IQR: 0.97, 2.95), than in the NCCP group, 2.74 (IQR: 2.04–4.03) ( p < 0.001). The propensity score-adjusted AUC for SQ-MRI to distinguish AP/RAP from NCCP was 0.64, which was higher than for individual parameters. Conclusion We have validated the SQ-MRI score in a multicenter cohort using an independent, real-world MRI dataset.

Abstract Epigenetic inheritance relies on the precise recycling of parental histones during DNA replication. The N-terminal region of Pol1, the catalytic subunit of DNA polymerase α, has previously been implicated in chaperoning parental histone recycling. In this study, we identify a single amino acid mutation in the C-terminal region of Saccharomyces cerevisiae Pol1 (pol1-F1396S) that destabilizes the protein and disrupts the transfer of parental histones to the lagging strand during DNA replication. As a primary consequence, pol1-F1396S cells exhibit decreased chromatin stability. Furthermore, we demonstrate that the cellular abundance—or dosage—of all three DNA polymerases (Pol α, Pol δ, and Pol ε) influences the distribution of parental histones between the leading and lagging strands, revealing a dosage-sensitive mechanism of epigenetic regulation during DNA replication.

4183 Background: High grade neuroendocrine neoplasms (HG-NENs) are treated with platinum doublets mirroring guidelines for small cell lung cancer (SCLC) but recurrences are common and salvage options are limited in efficacy. Cabozantinib (CABO), an inhibitor of VEGFR, MET, and TAM kinases (TYRO3, AXL, and MER) was approved by the FDA for treatment of well differentiated (WD) NENs of both pancreatic and extrapancreatic origins based on the CABINET study (Chan, NEJM 2025). However, its efficacy in the whole spectrum of HG-NEN patients including poorly differentiated disease (PDD) has not been prospectively explored. Methods: This was a single institution, Phase II study of CABO in patients with HG-NENs who had progressed on at least one prior treatment. Key inclusion/exclusion criteria were NENs of any origin except SCLC, high grade by Ki-67 of > 20% or histology consensus, ECOG of < = 1, appropriate hematological parameters and no history of bleeding or active cardiac disease. CABO was given orally starting at 60 mg po daily in 3-week cycles. The primary endpoint of this study was overall response rate (ORR). Secondary endpoints included progression free survival (PFS) and overall survival (OS). A Simon optimal 2-stage design tested the null hypothesis that the true ORR is < = 1% at the type I error rate of 5%, resulting in projected enrollment of up to 32 total patients. Toxicities were graded according to CTCAE v5.0 and response was evaluated according to RECIST v1. Results: All patients have been accrued, with 4/32 patients still on treatment. Median age at diagnosis was 62 years and male to female ratio was 1.46. Origin of tumor was GI in 68.8% of the cases, the rest being thoracic (6.3%), prostate (6.3%) cervical (6.3%) head/neck (3.1%) and unknown (9.4%). Median Ki-67 was 55%, 11 patients had Ki-67 > 70%. Histology was WD-HG in 40% of patients and PDD in 60%. Two patients had mixed PDD/other components (MiNEN). Median PFS in evaluable patients was 4.01 months [95% CI 1.61 to 9.30] and mOS was 9.89 mo [95% CI 6.73 to 18.96]. Three patients so far (9.3%) have had partial response as best response (PDD-colon, WD-pancreas and PDD-cervical) while 19/32 (59.4%) patients have had stable disease as best response so far (disease control rate 68.8%). Five (15.6%) patients have received more than 10 treatment cycles. The three longest treated patients had WD-pancreas (23 and 17 cycles) and PDD-unknown (12 cycles). One patient had eventual resection of a metastatic site and is currently without evidence of disease. Three patients withdrew from the trial because of toxicities (shortness of breath, GI bleeding, thromboembolism). Twenty-six patients have expired. Conclusions: CABO monotherapy showed efficacy in some HG-NEN patients with not just WD but also the very aggressive PDD histology. No new side effects to the ones previously described for this agent were noted. Supported by Exelixis and a Siteman investment program grant. Clinical trial information: NCT04412629 .

TPS277 Background: Recent advances in genomic sequencing have deepened our understanding of the molecular complexity of metastatic castration-resistant prostate cancer (mCRPC), revealing multiple actionable alterations that now inform biomarker-driven treatment strategies. Accordingly, germline and somatic tumor profiling is recommended for all patients with mCRPC. Beyond DNA aberrations, gene expression profiling can uncover additional therapeutic targets and pathway activations. The phase 2 PREDICT trial is leveraging both DNA and RNA alterations to guide rationally designed, biomarker-based therapeutic approaches for patients with mCRPC. Methods: This multi-center, multi-arm, biomarker-driven phase 2 umbrella trial is evaluating rationally selected therapies for patients with metastatic castration-resistant prostate cancer (mCRPC). The primary endpoint is objective response rate in patients with measurable disease, with secondary endpoints including radiographic progression-free survival, PSA response, time to first symptomatic skeletal event, overall survival, safety, and correlative biomarker analyses. Eligible patients must have progressive mCRPC of any histology, prior treatment with an androgen receptor pathway inhibitor (ARPI), and either prior or declined taxane chemotherapy, with both measurable and non-measurable disease permitted. Enrollment requires standard-of-care next-generation DNA sequencing from tissue or circulating tumor DNA performed in a CLIA-certified laboratory, and RNA-based allocation will use the CLIA-certified Caris MI Tumor Seek assay (whole exome and whole transcriptome sequencing) on tissue obtained within 12 months of study entry, with a real-time molecular tumor board reviewing results to confirm arm assignment. Patients with RB1 loss (DNA), an RB functional loss signature (RNA), or an NEPC signature (RNA) will receive the EZH1/2 inhibitor valemetostat; those with ≥2 of 3 tumor suppressor gene alterations (TP53, RB1, PTEN), FANC alterations (DNA), or SLFN11 overexpression (RNA) will receive cabazitaxel plus carboplatin; and those without study-defined alterations will receive physician’s choice of cabazitaxel, ARPI, or 177Lu-PSMA-617. The design permits incorporation of additional biomarker-defined arms, and up to 158 patients per arm (64 with measurable and 94 with non-measurable disease) will be accrued under a Simon two-stage minimax design, providing a one-sided type I error of 0.05 if the true response rate is 0.20 and 90% power if the response rate is 0.37 (Clinical trial information: NCT06632977). Clinical trial information: NCT06632977 .

PURPOSE Large language models (LLMs) have demonstrated remarkable versatility in oncology applications, such as cancer staging and survival analysis. Despite their potential, ethical concerns such as data privacy breaches, bias in training data, lack of transparency, and risks associated with erroneous outputs pose significant challenges to their adoption in high-stakes oncology settings. Therefore, we aim to explore the ethical challenges associated with LLM-based applications in oncology and evaluate emerging techniques designed to address these issues. METHODS Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, a systematic review was conducted to evaluate publications related to ethical issues of LLMs in oncology across eight academic databases (eg, PubMed, Web of Science, and Embase) between January 1, 2019, and December 31, 2024. RESULTS The search retrieved 4,319 published articles, of which 65 publications were preserved and included in our analysis. We identified six prevalent ethical challenges in oncology, including trust, equity, privacy, transparency, nonmaleficence, and accountability. We then evaluated emerging technical solutions to mitigate ethical challenges and summarized evaluation metrics used to assess these solutions' effectiveness. CONCLUSION This review provides actionable recommendations for responsibly deploying LLMs in oncology, ensuring adherence to ethical guidelines, and fostering improved patient outcomes. By bridging technical and clinical perspectives, this review offers a foundational framework for advancing ethical artificial intelligence applications in oncology and highlights areas for future research.

Abstract The landscape of Alzheimer's disease (AD) and related dementias (ADRD) diagnosis is evolving rapidly, driven by advances in disease understanding, biomarker tools, and disease‐modifying therapies. Modern diagnostic approaches emphasize biological precision, early detection, and dynamic frameworks that adapt to treatment‐induced changes in disease biology. These frameworks enable opportunities for personalized interventions—encompassing pharmacological and non‐pharmacological strategies—and for enhanced clinical trial design. However, implementing these advancements globally is influenced by diverse cultural, infrastructural, and regulatory factors. The 2024 Alzheimer's Association International Conference Advancements: Modernizing Diagnosis, held in Japan, provided a unique platform to explore these global dynamics, particularly from an Asian perspective. This article highlights key discussions from the conference, exploring the role of biomarker‐based diagnostic frameworks in shaping the future of AD/ADRD research, diagnosis, and treatment. We highlight regional challenges and successes and emphasize ethical considerations and practical strategies needed to ensure equitable access to diagnostic and therapeutic innovations. Highlights Advances in biomarkers are reshaping Alzheimer's disease diagnosis and treatment. Modern diagnostic frameworks highlight biological precision, early detection, and dynamic frameworks. The 2024 Alzheimer's Association International Conference Advancements: Modernizing Diagnosis explored challenges and opportunities in global biomarker implementation. The conference explored geographic‐specific impacts, focusing on Asia.

Pancreatogenic or type 3c diabetes, which occurs as a consequence of pancreatitis, may have several mechanisms. Mechanisms overlapping with those of type 2 diabetes have been explored, including insulin resistance and insulin deficiency. However, autoimmune mechanisms in response to unmasking β-cell antigens, similar to those of type 1 diabetes (T1D), have not been thoroughly examined. We performed cross-sectional T1D autoantibody profiling in a large prospective cohort (N = 927) of adults with acute, recurrent acute, or chronic pancreatitis. We examined correlations of prevalence of autoantibodies against GAD (GAD antibody), IA-2 (IA-2 antibody), zinc transporter 8 (ZnT8; ZnT8 antibody), and insulin (insulin autoantibody [IAA]) with clinical and demographic features, including presence of diabetes, diabetes treatment, and family history of diabetes. Diabetes was present in 11 (12%) of 94 participants with acute pancreatitis, 69 (27%) of 273 with recurrent acute pancreatitis, and 235 (43%) of 560 with chronic pancreatitis. Among these groups, islet autoantibodies were respectively found in five (5.3%) of 94, 48 (17.6%) of 273, and 127 (22.6%) of 560. The proportions of individuals with diabetes who were autoantibody positive were 45%, 70%, and 54%, respectively (most commonly IAA, which may reflect exogenous insulin use). However, across the entire cohort, 27 participants (2.9%) had two, two (0.2%) had three, and one (0.1%) had four T1D-associated autoantibodies, respectively, suggesting a potential pathogenic link that should be further explored. ARTICLE HIGHLIGHTS Type 1 diabetes–associated autoimmune mechanisms have not been thoroughly examined in pancreatitis-associated diabetes. We assessed the prevalence of four islet autoantibodies in serum from a large prospective cohort of patients with acute, recurrent acute, or chronic pancreatitis. Diabetes was present in 11 (12%) of 94 participants with acute pancreatitis, 69 (27%) of 273 with recurrent acute pancreatitis, and 235 (43%) of 560 with chronic pancreatitis. Excluding those with only insulin autoantibody positivity, which is confounded by insulin treatment, islet autoantibodies were identified in 51 (5.5%) of 927 participants, and 30 (3.2%) of 297 were positive for two or more autoantibodies. Our findings suggest pancreatitis may elicit islet autoimmunity in a subset of patients, necessitating prospective longitudinal follow-up.

Abstract Single‐molecule immunoassay is a reliable technique for the detection and quantification of low‐abundance blood biomarkers, which are essential for early disease diagnosis and biomedical research. However, current single‐molecule methods predominantly rely on endpoint detection and necessitate signal amplification via labeling, which brings a variety of unwanted effects, like matrix effect and autofluorescence interference. This study introduces a real‐time mass imaging‐based label‐free single‐molecule immunoassay (LFSMiA). Featuring plasmonic scattering microscopy‐based mass imaging, a 2‐step sandwich assay format enables background reduction, minimization of matrix effect by dynamic tracking of single binding events, and fully leveraging real‐time data for improved measurement precision through a Bayesian Gaussian process model, the LFSMiA enables ultra‐sensitive and direct protein detection at the single‐molecule level in neat blood sample matrices. LFSMiA measurement is demonstrated for interleukin‐6 and prostate‐specific antigen in buffer, undiluted serum, and whole blood with sub‐femtomolar detection limits and eight logs of dynamic ranges. Moreover, comparable performance is achieved with an inexpensive miniaturized setup. To show its translational potential to clinical settings and point‐of‐care diagnostics, N‐terminal pro‐B‐type natriuretic peptide is examined in patient whole blood samples using the LFSMiA and results in a strong linear correlation (r > 0.99) with standard clinical lab results.

PURPOSE The combination of the Bruton tyrosine kinase inhibitor ibrutinib with bendamustine-rituximab for first-line treatment of mantle cell lymphoma (MCL) prolonged progression-free survival (PFS), but without improvement in overall survival (OS), likely because of toxicity. Acalabrutinib was shown to be efficacious and less toxic than ibrutinib in a head-to-head trial in chronic lymphocytic leukemia and therefore might lead to better outcomes in MCL. METHODS Patients 65 years and older with previously untreated MCL received acalabrutinib (100 mg twice daily) or placebo (until disease progression or unacceptable toxicity), plus six cycles of bendamustine (90 mg/m 2 once daily; days 1 and 2) and rituximab (375 mg/m 2 as a single dose; day 1) followed by rituximab maintenance in responding patients for 2 years. Crossover to acalabrutinib at disease progression was permitted. The primary end point was PFS per the independent review committee; overall response rate and OS were secondary end points. RESULTS In total, 598 patients were randomly assigned, with 299 in each arm. At a median follow-up of 49.8 months using the reverse Kaplan-Meier method, the median PFS was 66.4 months in the acalabrutinib arm and 49.6 months in the placebo arm (hazard ratio [HR], 0.73 [95% CI, 0.57 to 0.94]; P = .0160). Benefit was seen across all subgroups, including those with high-risk features. Overall response/complete response rates were 91.0%/66.6% and 88.0%/53.5% in the acalabrutinib and placebo arms, respectively. OS was not significantly different (HR, 0.86 [95% CI, 0.65 to 1.13]; P = .27). Grade 3 or greater adverse events were reported in 88.9% and 88.2% in the acalabrutinib and placebo arms, respectively. CONCLUSION The combination of acalabrutinib with bendamustine-rituximab significantly improved PFS. Clinical benefit of acalabrutinib with bendamustine-rituximab was achieved with manageable toxicity.