Citations

572 Background: Neoadjuvant endocrine therapy (NET) is sometimes used to shrink hormone receptor-positive (HR+) breast cancers to improve breast conservation rates and reduce axillary nodal burden. At the beginning of the COVID-19 pandemic, several organizations endorsed NET use to mitigate the harm of surgery delay when cancer operations were less available due to infection transmission concerns. However, the real-world patterns of NET during this period are understudied. This study investigated the alteration of NET utilization patterns during the COVID-19 pandemic in the United States using the National Cancer Database (NCDB). Methods: We identified patients diagnosed with stage I-III invasive HR+/human epidermal growth factor receptor 2-negative (HER2-) breast cancer between 2018-2022 in the NCDB. Estrogen receptor and/or progesterone receptor positivity was required for inclusion in the cohort. Receipt of NET was defined as initiation of endocrine therapy ≥ 14 days before the patient’s first surgical procedure. The study cohort generation and statistical analysis were conducted using Stata and R 4.4.3. A two-tailed p value < 0.05 was considered statistically significant. Results: 495,098 patients were included in the cohort, 195,371 in 2018-2019 (pre-pandemic), 91,686 in 2020 (early pandemic), 106,157 in 2021 (mid-pandemic), and 101,884 in 2022 (late pandemic). NET utilization was increased in the early pandemic compared to the pre-pandemic (seen in 5.8% vs 2.4% of the cohort, Chi-square p value < 0.001), but this use fell back to 3.4% in the mid-pandemic and 3.5% in the late-pandemic. The median (IQR) duration of NET was 15.7 (6.4-26.6) weeks in the pre-pandemic, 9.3 (5.4-18.7) weeks in the early pandemic, 13.2 (5.8-25.7) weeks in the mid-pandemic, and 12.0 (6-24.6) weeks in late pandemic (Kruskal-Wallis p value = 0.001). The transient increase in NET utilization during the early pandemic was more pronounced among patients with tumors < 5 cm and node-negative disease. Conclusions: Our study identified a significant shift in the utilization of NET for HR+/HER2- breast cancer during the COVID-19 pandemic. Pandemic-era NET policies produced a short-lived practice change that was only partially sustained once surgical access normalized. NET utilization (%) by subgroup and year for stage I-III HR+/HER2- breast cancer. Variable Category 2018-2019 2020 2021 2022 Overall NET Use 2.4 5.8 3.4 3.5 Age Group (years old) <50 2.2 4.9 3.9 4.0 >=50 2.4 6.0 3.3 3.4 Tumor Size <5 cm 2.0 5.5 2.9 3.1 >=5 cm 9.0 9.7 11.2 11.6 Histology Subtype Ductal 2.2 5.5 3.3 3.4 Lobular 3.6 7.1 4.4 4.8 Ductal/Lobular 2.6 6.2 4.3 3.6 Other 1.9 6.7 2.5 2.6 KI67 <20% 2.5 6.4 3.4 3.3 >=20% 2.3 5.5 3.5 3.7 Tumor Grade Well differentiated 1.9 5.8 2.4 2.6 Moderately differentiated 2.7 6.1 3.9 3.9 Poorly differentiated/undifferentiated 2.9 4.8 4.3 4.8 Node Positivity Positive 5.2 5.6 9.3 9.5 Negative 2.0 5.8 2.6 2.7

Abstract Objectives To implementation an automated multi-institutional pipeline that delivers breast-cancer risk integrated with polygenic risk scores, monogenic variants, family history, and clinical factors, emphasizing operational challenges and their solutions. Materials and Methods A five-stage process was executed at ten sites. Data streams from REDCap surveys, PRS and monogenic reports, and MeTree pedigrees were normalized and forwarded through a REDCap plug-in to the CanRisk API. Results Integrated risk was returned to &gt;10 000 women; 3.6% were ≥25 % lifetime risk and 0.9% carried pathogenic variants. Pipeline generated score aligns well with manual generated ones. Major barriers such as heterogeneous pedigree formats, missing data, edge-case handling, and evolving model versions were identified and resolved through mapping rules, imputations, and iterative testing. Discussion Cross-platform data harmonization and stakeholder alignment were decisive for success. Borderline-risk communication and model-version drift remain open issues. Conclusion Large-scale PRS-integrated breast-cancer risk reporting is feasible but requires robust interoperability standards and iterative governance.

Importance The definition of cure in stage II to III colon cancer (CC) remains unclear due to limitations in conventional end points, which include deaths and second primary tumors as events. These can complicate communication with patients regarding long-term outcomes. Objective To distinguish relapses from competing health-related events to classify long-term outcomes years after surgery and explore when the incidence of true relapses of the initial CC approaches 0% to define cure in this disease. Design, Setting, and Participants This pooled analysis of individual patient–level data from 15 phase 3 randomized clinical trials assessed time to CC-related relapse using Kaplan-Meier and Aalen-Johansen methods, with death and second primary tumors treated as competing risks. Cox regression models evaluated prognostic associations, stratified by sex, stage, and tumor. Patients with stage II to III CC who underwent adjuvant chemotherapy were included. All patients had undergone radical surgery for CC and received adjuvant chemotherapy with a median follow-up of at least 6 years. The Adjuvant Colon Cancer Endpoints (ACCENT) and the International Duration Evaluation of Adjuvant Chemotherapy (IDEA) databases included adjuvant studies conducted between 1996 and 2015. Data were analyzed from February 2022 to June 2025. Exposures Adjuvant chemotherapy regimens varied across trials, including fluoropyrimidines alone or in combination with oxaliplatin or biologic agents. Main Outcomes and Measures The primary outcome was time to CC-related recurrence. The predefined threshold for cure was a recurrence risk below 0.5%. Results Of 35 213 included patients, 19 346 (54.9%) were male, and the mean (SD) age was 60.2 (10.8) years. The incidence rate of recurrence peaked at 6.4% (1993 of 31 373) between month 6 and month 12 and decreased continuously until year 10 of follow-up never exceeding 0.5%. Recurrence rate appeared to increase again after year 10 and peaked at 2.0% during year 12.5 to year 13, a pattern observed exclusively in the MOSAIC trial. Competing-event analysis revealed that death and second primary tumors inflated the apparent recurrence rate, especially for older patients. The overall cumulative incidence of relapse with death as competing risk was lower among female patients (hazard ratio, 0.58; 95% CI, 0.45-0.76; P &amp;lt; .001). Conclusions and Relevance In this pooled analysis of phase 3 randomized clinical trials, a recurrence rate less than 0.5% occurred after 6 years from surgery, supporting a practical definition of cure. Recognizing this milestone may improve patient communication, guide follow-up duration, and reduce unnecessary long-term surveillance.

Abstract Background Alzheimer’s disease (AD) cerebrospinal fluid (CSF) biomarkers, including the Aß42/40 and p-tau181/Aß42 ratios, are used in clinical practice to detect the presence of amyloid pathology for the diagnosis of AD. However, in some instances, discrepancies between Aß42/40 and p-tau181/Aß42 are observed. Such discrepancies may introduce uncertainties in the clinical management of patients presenting with cognitive decline. Identifying the underlying causes of these discrepancies and determining which biomarker abnormalities better predict disease progression is crucial to enhancing confidence in the use of these CSF biomarkers for the diagnosis of AD. This study aims to investigate the discordance between the Aß42/40 and p-tau181/Aß42 ratios, evaluate the frequency of these discrepancies, and identify potential causes. Methods Data from 958 individuals who had both CSF Aß42/40 and p-tau181/Aß42 tested at Mayo Clinic Laboratories between 2022 and 2024 and where the tests were ordered in CSF collected during the same lumbar puncture procedure were included. Cases with an inadequate sample collection, which could cause a false decrease in Aß42 concentrations, were excluded from the analysis. Aß42/40 was measured using the Fujirebio LUMIPULSE assays and reported as negative, likely positive, or positive. For this analysis, likely positive and positive results were combined and considered as positive (&lt;0.072). P-tau181/Aß42 was measured using the Roche Elecsys assays and above 0.028 was considered positive. Statistical analyses were conducted using R Studio. Results Aß42/40 was positive in 69.1% of cases (n=661), while p-tau181/Aß42 was positive in 62.1% (n=594). There were 8.0% discordant cases (n=77). Most frequently, the discordant cases had an abnormal Aß42/40 with a normal p-tau181/Aß42 (Aß42/40+/p-tau181/Aß42-; n=72, 94%). Compared to the concordant Aß42/40+/p-tau181/Aß42+ group, the discordant Aß42/40+/p-tau181/Aß42- group showed significantly higher Aß42 concentrations (p &lt;0.001, median [pg/mL]: 878.5 vs 587.0, respectively); whereas p-tau181 concentrations were significantly lower (p &lt;0.001, median [pg/mL]: 19.3 vs 32.1, respectively). Among the Aß42/40+/p-tau181/Aß42- group, 30 cases exhibited abnormally low Aß42 and normal p-tau181, possibly reflecting early-stage AD. There were 41 cases with a normal Aß42 concentration despite an abnormal Aß42/40, possibly reflecting an overall higher production of Aß peptides resulting in an increased Aß40 peptide (median [pg/mL]: 12627 compared to 9487 in the low Aß42 and normal p-tau181 cases (n=30); p &lt;0.001). Of these 41, 19 showed normal Aß42 but elevated p-tau181 concentrations where the use of Aß42/40 compensated for the overall higher production of Aß peptides, resulting in an abnormal ratio. In contrast, the p-tau181/Aß42 ratio was not able to normalize for these differences, leading to a normal ratio. Conclusion While overall concordance was 92.0%, our findings suggest that discrepancies between CSF Aß42/40 and p-Tau181/Aß42 are more often due to the presence of an abnormal Aß42/40 and a normal p-Tau181/Aß42. Two potential explanations for these discrepancies are early-stage AD or higher production of Aß peptides in some individuals. In the latter, differences in amyloid production would be normalized by ratios of the same biomarker (i.e. Aß42/40) but not by ratios of different biomarkers (i.e. p-Tau181/Aß42).

Abstract Background Celiac disease (CeD) is a chronic autoimmune disorder that can affect people of any age. Both ingestion of gluten and the presence of human leukocyte antigens (HLA)-DQ2 or DQ8 are required for disease development. In adults, correlation between HLA-DQ2/DQ8 allele combinations and tissue transglutaminase (tTG) antibody positivity has been well described. In comparison, this association in pediatric patients is less defined. In this study, we evaluated the roles of HLA-DQ2 and HLA-DQ8 as predictors of tTG-IgA positivity in a pediatric cohort, aiming to enhance understanding of CeD risk assessment in this diagnostic group. Methods Retrospective data were collected from individuals who underwent CeD diagnostic testing at Mayo Clinic Laboratories between 2011 and 2024; all patients were tested for total IgA, HLA-DQ typing, and tTG-IgA. Total IgA was measured using quantitative nephelometry on the BN™ II System (Siemens); HLA-DQ typing was performed using reverse sequence-specific oligonucleotide (SSO) DNA typing (LABType SSO kits, One Lambda, Thermo). tTG-IgA was tested using an enzyme-linked immunosorbent assay (QUANTA Lite® h-tTG IgA, Werfen Diagnostics). Those with total IgA below the age-specific reference interval were excluded from this analysis. Logistic regression was used to evaluate the association between HLA-DQ haplotypes and tTG-IgA positivity to assess the risk gradient across different HLA-DQ genotypes in children. Results The cohort identified in this study consisted of 115,499 individuals for whom total IgA, HLA-DQ typing and tTG-IgA testing was performed. Within this cohort, 20,676 (17.9%) were pediatric patients (age&lt;=18 at the time of testing). Pediatric patients tested for CeD exhibited a slightly higher prevalence of at least one copy of HLA-DQ2 or DQ8 compared to adults (57.6% vs 55.4%, p&lt;0.001). Additionally, these patients showed significantly higher rates of tTG-IgA positive across all genotypes, particularly those carrying HLA-DQ2.5 or DQ8, with positivity rates 1.2 to 2.3 times higher than in adults (p&lt;=0.01). However, in non-permissive genotypes, the positivity rates were 0.3% (p=0.95), for both populations, indicating comparable specificity. Individuals with homozygous HLA-DQ2.5/DQ2.5 and HLA-DQ2.5/DQ2.2 showed the highest risks for tTG-IgA positivity with ORs of 85.7 (95% CI: 55.1-137.7) and 78.5 (95% CI: 51.3-124.3), respectively. Moderate risk was observed for HLA-DQ2.5/DQ8 with an OR of 49.0 (95% CI: 32.1-77.3), followed by single copy HLA-DQ2.5 (OR=35.0, 95% CI: 24.0-53.4) and homozygous HLA-DQ8/DQ8 (OR=21.7, 95% CI: 11.7-39.4). Although single copies of HLA-DQ2.2 and HLA-DQ8 showed lower risks with ORs of 5.4 and 8.9 (95% CI: 3.2-9.2 and 5.7–13.9), their combination increased the OR to 22.6 (95% CI: 13.0-39.2), similar to homozygous HLA-DQ8. Conclusion This large cohort study demonstrates the predictive value of HLA-DQ genotypes for pediatric CeD seropositivity. Notably, pediatric patients showed slightly higher prevalence and positivity rates compared to adults, particularly among those with homozygous HLA-DQ2.5/DQ2.5 and HLA-DQ2.5/DQ2.2 genotypes, which exhibited the highest risks for tTG-IgA positivity. The findings confirm that HLA-DQ2.5 is the main driver of serology positivity and suggest that HLA-DQ8 also influences serological positivity in pediatric patients, which can enhance targeted screening and potentially inform decisions regarding the necessity of duodenal biopsy.

Abstract Purpose: Isocitrate dehydrogenase (IDH) 1/2–isoform inhibitors have clinical efficacy in IDH1/IDH2-mutated neoplasms. However, primary resistance and secondary resistance limit their therapeutic potential. LY3410738, an oral, brain-penetrant, dual IDH1/IDH2-mutated isoform-selective inhibitor, was designed to overcome resistance. Patients and Methods: This global, multicenter, open-label, phase I study of patients with IDH-mutant solid tumors evaluated LY3410738 as monotherapy (dose escalation) for advanced solid tumors in combination with cisplatin–gemcitabine (CISGEM) for newly diagnosed cholangiocarcinoma or with durvalumab for relapsed/refractory cholangiocarcinoma (dose expansion; NCT04521686). Primary objectives were the maximum tolerated dose, recommended phase II dose, and preliminary antitumor activity. Safety, pharmacokinetics, inhibition of D-2-hydroxyglutarate, and ctDNA were assessed. Results: Overall, 119 patients received LY3410738 alone (N = 94) or in combination with CISGEM (N = 19) or durvalumab (N = 6). No dose-limiting toxicities were observed; the maximum tolerated dose was not determined. Common adverse events included nausea, vomiting, and decreased appetite. Overall response rates of 5.2% and 11.1% and disease control rates of 56.9% and 63.0% were observed for patients with relapsed/refractory IDH1- or IDH2-mutant cholangiocarcinoma or IDH1-mutant glioma, respectively. D-2-hydroxyglutarate normalization was rapid and durable. In dose-expansion cohorts, combination treatments were tolerable, with one dose-limiting toxicity in the durvalumab cohort. LY3410738 plus CISGEM demonstrated a response rate of 42.1%, a median duration of response of 8.1 months, and a median progression-free survival of 10.2 months for patients with newly diagnosed IDH-mutant cholangiocarcinoma. Conclusions: LY3410738 demonstrated largely cytostatic antitumor activity in IDH1- or IDH2-mutated cholangiocarcinoma and IDH1-mutated gliomas. LY3410738 plus CISGEM exhibited favorable antitumor activity in patients with treatment-naïve IDH-mutated cholangiocarcinoma, warranting further exploration as a treatment strategy.

Abstract Chronic widespread pain (CWP) remains challenging due to its heterogeneous causes and complex mechanisms. A total of 2920 plasma proteins are analyzed from 29,254 UK Biobank participants. A total of 256 proteins are identified as cross‐sectionally correlated with CWP. A simple (top 10 proteins) and comprehensive (all significant proteins) proteomic‐based score (ProtS) is created for CWP diagnosis, both outperforming and improving the existing clinical score (area under the curve, AUC: 0.801, 0.723, and 0.791 alone, and 0.856 and 0.880 in combination). In addition, the protein score predicted 13‐years risk of pain‐related traits over the body, including pain onset, progression, and intensity; Moreover, it has stronger associations with nociplastic pain and fibromyalgia compared to nociceptive and neuropathic pain, implying a unique protein signature of different pain mechanisms. Finally, among 434 candidate proteins prioritized in the observational analysis, 18 are corroborated with causal relevance by Mendelian randomization, and importantly, four (CA14, DPEP1, LGALS3, and TNF) showed potential as novel drug targets repurposed for treating CWP.

Background Global efforts to raise delirium awareness have been made over the past years, such as the formation of the iDelirium group and the institution, in 2017, of the annual World Delirium Awareness Day (WDAD) in March. In 2023, our group and researchers from around the world conducted a global one-day point prevalence study of delirium on WDAD. These strategies appear to improve delirium recognition and management. Objective To assess participants’ perceived impact of participating in the WDAD 2023 one-day point prevalence study and to gather feedback on the survey process to inform future campaigns. Methods An online survey was administered to multiple national and clinical collaborators from 44 countries participating in the one-day global point delirium prevalence study on WDAD 2023. Using SurveyMonkey®, the survey was distributed via a snowball system, with participants’ consent implied through their involvement. The survey, developed iteratively to balance time and detail, consisted of six core questions, including closed and open formats. Data were collected from September 9th to October 9th, 2023, and qualitative and quantitative analyses were performed using Excel®. Quantitative data underwent statistical analysis using IBM® SPSS Statistics28. Results 49 out of 53 (93.45%) healthcare professionals responded to the survey: 71.43% reported increased awareness, and responses were almost equally divided between those who initiated projects (46.94%) and those who did not (53.06%). Most participants (93.88%) did not find the WDAD 2023 one-day point prevalence study in March burdensome, and all expressed interest in future participation. The WDAD 2023 one-day point prevalence study highlighted diverse projects, primarily focused on delirium awareness and education. The survey found suggestions for future improvements emphasizing more efficient, digital, and engaging research methods and a clear need for educational resources, particularly in ICU delirium. Conclusions Our survey finds that participation in WDAD 2023 one-day point prevalence study boosted delirium visibility, leading to ongoing awareness, interest in future studies, and practice changes that benefit patients and the healthcare system. Further evidence-based research is needed to assess the impact of these campaigns on delirium recognition and management.

Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide‐ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and limitations inherent in BioLMs, including data privacy and security concerns, interpretability issues, biases in training data and model outputs, and domain adaptation complexities. Finally, we highlight emerging trends and future directions, offering valuable insights to guide researchers and clinicians toward advancing BioLMs for increasingly sophisticated biological and clinical applications.

Abstract Objective: The Pancreatic Cancer Detection Consortium (PCDC) performed a blinded EDRN defined phase 2 Biomarker Bakeoff study of eight promising biomarker panels using pancreatic cancer ductal adenocarcinoma (PDAC) case and general population healthy control samples from three institutions. The scientific questions were to determine whether panels could discriminate PDAC cases from controls with Receiver Operating Characteristic Area Under the Curve (AUC) &gt; 0.8, compare panel performance head-to-head via 95% confidence intervals (CI), and determine whether the panel improved upon serum CA19-9 alone. A secondary goal was to perform modeling to discover a new panel consisting of individual biomarkers. Methods: Eligible biomarkers were required to have had a prior EDRN defined phase 2 validation study published and be ready for validation in a sample set from multiple institutions. Three institutions submitted a total of 140 cases and 140 controls frequency matched to cases on age and sex. Four consortium member institutions submitted for validation eight panels consisting of ten plasma, serum and DNA genotyping biomarkers in addition to CA19-9. Locked panel formulas were submitted prior to specimen distribution. The primary metric was AUC with bootstrapped 95% CIs. LASSO penalized regression was used for exploratory panel building. Nested cross validation and internal-external validation were performed, and optimism-corrected performance estimates were computed. Results: The overall sample (N=280) was 51% female, median age of 67 years, and 94% were of non-Hispanic white race and ethnicity. Controls had median BMI 27.3, 56% never smokers, and 12% type II diabetes mellitus (DM2); cases (staged I to IV) had median BMI 26.6, 42% never smokers, and 26% DM2. Overall panel AUC estimates ranged from 89.9 to 96.3 and all were significantly larger than the null hypothesis value of 0.8 (p&lt;0.05). The apparent serum CA19-9 AUC was 91.7 (87.8, 95.6). Two panels were significantly different from serum CA19-9, a panel with FUT2/3 genotype with serum CA19-9 (p=0.002) and a panel containing tissue factor pathway inhibitor (TFPI), tenascin C (TNC), and plasma CA19-9 (p=0.01). In subset analyses by PDAC stage, no panel improved upon the null hypothesis value of 0.8 in stage I (p&gt;0.05), all panels improved upon the null hypothesis value of 0.8 in stage II and III (p&lt;0.05), and only serum CA19-9 did not improve upon the null hypothesis value of 0.8 in stage IV. All biomarkers but two microRNAs were retained in a LASSO model that had optimism corrected AUC=96.4 (95% CI: 94.0, 98.9). Conclusions: All submitted panels performed well overall in this blinded study, with the panel containing FUT2/3 genotype performing the best. Panel discovery improved upon serum CA19-9, though optimism corrected AUC 95% CIs overlap with those of apparent CA19-9 performance. Further work is needed to prioritize promising biomarkers and to improve detection of early stage PDAC. Citation Format: Ann L. Oberg, William R. Bamlet, Grant Izmirlian, Seetharaman Balasenthil, Surinder K. Batra, Masataka Hayashi, Daniel Herman, Michael A. Hollingsworth, Maneesh Jain, Ann M. Killary, Brianna M. Krusen, Suyu Liu, Gopalakrishnan Natarajan, Subrata Sen, Lynette M. Smith, Sudhir Srivastava, Brian M. Wolpin, Kenneth S. Zaret, Michael G. Goggins. Pancreatic Cancer Detection Consortium biomarker bake-off: A consortium Phase 2 blinded biomarker validation and panel discovery study [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research—Emerging Science Driving Transformative Solutions; Boston, MA; 2025 Sep 28-Oct 1; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_3):Abstract nr B070.