Citations

INTRODUCTION: Safety and effectiveness of treating to target mucosal healing in older patients with Crohn's disease (CD) is unknown. METHODS: We analyzed CD-related complications by 24 months in the randomized evaluation of an algorithm for Crohn's treatment—study 2-2 trial that randomized practices to an enhanced-care or step-care algorithm to determine whether patient age modifies the effect of treatment. Data were analyzed using marginal Cox regression and modified Poisson regression. RESULTS: There was no difference in treatment between younger and older patients in at 24 months. DISCUSSION: Enhanced-care was effective and not associated with increased risk compared with step-care in older patients with CD.

Abstract Background: Digital access, health literacy, and confidence in obtaining cancer information are well-known factors that influence cancer beliefs and behaviors. However, less is understood about whether these information-related factors vary across regions within a cancer center's catchment area and how they collectively relate to cancer beliefs in large community samples. This study investigated regional differences in digital access, health literacy, and confidence in seeking information, and examined the connections between these factors and cancer risk perceptions, fatalistic beliefs, prevention confusion, and willingness to participate in cancer clinical trials. Methods: Data (N=2,334) from the 2023 Mayo Clinic Comprehensive Cancer Center’s Cancer-Focused Needs Assessment, conducted across catchment areas in Arizona, Florida, and the Midwest (Minnesota, Wisconsin, Iowa). Regional differences in digital access (Internet use and device ownership), health literacy, and confidence in obtaining cancer information were analyzed using multivariable ANCOVAs and logistic regressions, adjusting for sociodemographic covariates. Follow-up models examined whether these information precursors are associated with perceived cancer risk, fatalistic beliefs, confusion about recommendations, and willingness to participate in cancer clinical trials, adjusting for the same covariates. Results: Regions showed minimal differences in digital access and health literacy. Health literacy was instead associated with ethnicity, age, gender, and education (all p<.001). Confidence in obtaining cancer information followed similar trends, with significant influences of ethnicity and gender (p<.01). Internet use was strongly associated with sociodemographic factors (all p<.01). Additionally, the information precursors consistently correlated with cancer beliefs across the full sample: Higher health literacy and greater confidence in obtaining cancer information were associated with increased perceived cancer risk, reduced cancer fatalism, and less confusion regarding prevention guidelines (ps < .001). Internet use and device access were significantly related to a greater willingness to participate in clinical trials (ps < .01). These relationships persisted even after controlling for sociodemographic covariates. Conclusions: Regional differences in digital access and health literacy were minimal, indicating a consistent information environment. Within this context, individual sociodemographic and information-related factors played a larger role, strongly shaping cancer beliefs. These findings underscore technology access and information empowerment as key targets for enhancing cancer prevention knowledge and research engagement, and indicate that the effects of information empowerment are primarily driven at the individual rather than the geographic level. Citation Format: Tingyu Zou, Monica L. Albertie, Emelina Asto-Flores, Manisha Salinas, Farhia Omar, Adeline Abbenyi, Noreen Stephenson, Nuwanthi Heendeniya, James R. Cerhan, Kathleen J. Yost, Folakemi T. Odedina. Digital access, health literacy, and cancer beliefs: Findings from a multi-region community survey [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 7553.

Background/Objective: Although most melanocytic lesions are diagnosed as benign or malignant by histopathologic evaluation, with or without the aid of immunohistochemistry, diagnosis may remain uncertain in a minority of cases. Assessment of copy number abnormalities (CNAs) may provide sufficient additional evidence to favor either a benign or malignant diagnosis in both pediatric and adult cases and in melanocytic lesions of various subtypes, including Spitzoid, mucosal, and acral. CNAs are common in melanomas, while they are rare, with few exceptions, in benign lesions. Detection of CNAs by fluorescence in situ hybridization (FISH) and chromosomal microarray (CMA) has been well established for melanocytic lesions, with advantages and disadvantages for each. The objective of this meta-analysis was to evaluate the utility of CNA testing for the diagnosis of melanoma, across subtypes, when a lesion remains ambiguous after histopathologic and immunohistochemical assessment. In addition, the utility of CNAs to determine prognosis in established diagnoses of melanoma was also evaluated. Methods: The Cancer Genomics Consortium Working Group for Melanocytic Lesions reviewed published data from January 1998 through September 2022 of CNAs in melanocytic lesions detected by either FISH or CMA and conducted a meta-analysis of the findings. Results: Specific abnormalities common in primary cutaneous melanomas of various subtypes and uveal melanomas were enumerated. Differences in CNAs found in primary versus metastatic lesions were also determined, and published evidence for prognosis was summarized. Conclusions: The working group established evidence-based recommendations for the use of CNA testing for evaluation of ambiguous melanocytic lesions.

Abstract Background Ceftriaxone-resistant Escherichia coli infections are increasingly common, partially because of the emergence of E. coli sequence type 131 (ST131), including its subclade C2/H30Rx, which produce extended-spectrum β-lactamases. Methods A prospective cohort including 14 US sites, which enrolled monomicrobial ceftriaxone-resistant and susceptible E. coli bloodstream infection (BSI) cases in a 1:1 ratio, was used to compare ST131 versus non-ST131 E. coli BSI, with specific attention to E. coli ST131 C2/H30Rx. Desirability of outcome ranking was determined at 30 days after infection onset. Results This analysis included 282 patients with E. coli BSI; 43% (121/282) were E. coli ST131 and 23% (66/282) belonged to the C2/H30Rx subclade. Resistance to ceftriaxone was present in 79% (96/121) ST131, 86% (57/66) E. coli ST131 C2/H30Rx, and 27% (43/161) E. coli non-ST131. Compared to patients with non-ST131 E. coli BSI, patients with ST131 BSI were older (median 70 years, [Q1 62, Q3 76] years vs 65 years, [51, 74]; P = .005) and more often admitted from long-term care facilities (21/121 [17%] vs 7/161 [4%], P < .001). Overall and empiric carbapenem use was more frequent in the treatment of patients with ST131 BSI compared with non-ST131 BSI (overall 89/121 [74%] vs 50/161 [31%]; empiric: 58/121 [48%] vs 31/161 [19%], P < .001). Desirability of outcome ranking outcomes were similar between groups. Conclusions Most ceftriaxone-resistant E. coli from US patients with E. coli BSI belong to ST131, particularly E. coli ST131 C2/H30Rx, serving as an important driver of carbapenem use.

ABSTRACT Background Optimal management of direct oral anticoagulants (DOAC) prior to implantation of cardiac implantable electronic devices (CIED) remains controversial. Objective To determine whether a strategy of minimal interruption of DOAC before cardiac CIED implantation is associated with improved clinical outcomes compared to uninterrupted DOAC use. Methods The electronic clinical records of 310 patients who were on DOAC and underwent CIED implantation were evaluated. The patients were separated into 2 groups: patients in Group 1 had minimal DOAC interruption (DOAC held < 24 h before procedure), while patients in Group 2 continued DOAC before procedure. Resumption of DOAC in both groups was on the same day of the procedure or the next morning at the operator's discretion. Clinically significant pocket hematoma and thromboembolic events were compared. Results Among the 310 patients, 71 (22.9%) of them had DOAC held < 24 h before procedure, while DOAC was continued without interruption in 239 (77.1%) in the periprocedural period. Clinically significant pocket hematomas were found in 1 patient (1.4%) in the DOAC interrupted group and 24 (10.0%) in the DOAC continuous group ( p = 0.046). Low thromboembolic events were observed in both groups: 0 in the minimally interrupted group and 1 (0.4%) in the un‐interrupted group ( p > 0.05). Conclusion The bleeding risk in our cohort of patients who underwent CIED implantation with the uninterrupted DOAC approach is higher than previously reported in the literature. A minimally interrupted approach appears to mitigate this risk without significantly increasing the risk of thromboembolism.

Abstract Objectives: In the RadComp randomized trial, we compared radiation dose to cardiac substructures in patients treated with proton versus photon radiation therapy (RT) ; evaluated changes in cardiac-specific health-related quality of life (HRQOL) outcomes from baseline to 6 months following RT; and determined associations between radiation dose volume histogram (DVH) parameters and changes in cardiac-specific HRQOL. Methods: The study cohort included patients with locally advanced breast cancer enrolled on RadComp who completed treatment per protocol, had available radiation DVH metrics for all cardiac substructures, and completed both the baseline and at least one follow-up cardiac-specific HRQOL over the 6 months post-RT. Cardiac-specific HRQOL measures included PROMIS fatigue, PRO-CTCAE shortness of breath (SOB) (severity and interference with daily activities), and PRO-CTCAE chest pain, chest tightness, and angina (frequency, severity, and interference). Detailed dose volume histograms (DVH) for cardiac substructures included the whole heart, left ventricle (LV), right ventricle (RV), left atrium (LA), right atrium (RA), and left anterior descending artery (LAD) were derived. The Wilcoxon rank-sum test was used to compare dose distributions between photon and proton RT. Associations between DVH metrics and HRQOL outcomes were evaluated using repeated-measures linear regression via generalized estimating equations with an independent working correlation structure. All models were adjusted for RT type, age, cardiovascular risk factors, surgery type, laterality, ethnicity, education, timepoint, and race. Additional stratified analyses was performed according to laterality (right versus left + bilateral). Results: Across 1160 RadComp participants, RT exposure to cardiac substructures differed significantly between proton and photon RT and by laterality. Median mean heart dose was lower with protons, 0.9 Gy (Q1, Q3 0.49, 1.46), compared to photons 2.83 Gy (Q1, Q3 1.49, 4.52) (p&lt; 0.001), and lower for right-sided disease, 0.91 Gy (Q1, Q3 0.44, 1.55), compared to left and bilateral 1.99 Gy (Q1, Q3 1.11, 3.63) (p&lt;0.001). Similarly, for the LAD, LA, LV, and RA, mean proton dose was significantly lower (p&lt;0.001). However, for the whole heart, RA, and RV, maximum doses to small-volume parameters and dose to 0.03cc were higher with proton RT. PRO-CTCAE measures of HRQOL were generally favorable at all timepoints across all participants, and grade ≥3 toxicity was rare (≤5.5%) for all measures. The PROMIS Fatigue T-Score increased from baseline (median 49 [Q1, Q3 46, 57]) to end of RT (55 [Q1, Q3 49, 63]), and returned to baseline levels at 6 months (p&lt;0.001). While there were no significant differences in PRO-CTCAE SOB severity (p=0.24) and interference (p=0.11) over time, PRO-CTCAE chest pain worsened compared to pre-RT with respect to frequency (p&lt;0.001), severity (p&lt;0.001), and interference (p=0.008). However, the absolute changes were small. No DVH metrics were significantly associated with any cardiac-specific HRQOL outcomes. Stratification by laterality yielded similar results. Conclusions: Proton RT generally conferred significantly lower doses to the heart and cardiac substructures compared to photon RT. HRQOL outcomes were favorable across all participants, with fatigue returning to baseline, no change in SOB parameters, and a slight worsening of chest pain outcomes over 6 months following RT. Cardiac-specific HRQOLs appear not to be significantly affected by RT dose to cardiac substructures within the first 6 months post-RT. Other organs at risk that could also impact cardiac HRQOL endpoints, longer follow-up, and major cardiac events will be evaluated in future analyses. Citation Format: J. L. Wright, K. Ko, W. Kenworthy, W. Bosch, L. Braunstein, G. Freedman, E. Gillespie, R. Jimenez, S. Pugh, H. Lu, M. Pankuch, N. Remmes, W. Straube, W. Zou, E. Berlin, L. Fang, S. MacDonald, N. Taunk, J. Kim, A. Thukral, A. Taghian, M. Mishra, R. Mutter, V. Croog, D. Boggs, J. Urbanic, N. Ohri, A. Chawla, T. Meier, L. Rosen, M. Fegundes, O. Cahlon, K. Hoffman, A. Ferriozzi, J. Bekelman, A. Lin, B. Ky. Associations Between Cardiac Radiation Dose Volume Metrics and Cardiac Specific Health Related Quality of Life for Patients with Breast Cancer Randomized to Proton versus Photon Radiation on the RadComp Trial [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr RF6-04.

Context: Traditional Chinese medicine (TCM) techniques, grounded in TCM theory, offer flexible and personalized therapeutic strategies. Increasing evidence indicates that gut microbiota dysbiosis is closely associated with the onset and progression of various diseases, highlighting a complex mutual relationship. Investigating the interaction between TCM techniques and gut microbiota may provide both a theoretical and practical foundation for clinical application. However, comprehensive systematic analyses remain limited. Objective: This study aimed to identify core themes and emerging trends in research on the interactions between TCM techniques and gut microbiota. In addition, it sought to explore underlying correlations using data mining approaches to provide insights supporting clinical applications and mechanistic studies. Materials and Methods: A systematic literature review was conducted using the Web of Science Core Collection and China National Knowledge Infrastructure for bibliometric analysis. Co-occurrence analysis was performed using CiteSpace software to identify research characteristics and development trends. Key data were extracted and visualized through an interactive network diagram generated with Cytoscape. Results: Current research predominantly focuses on acupoint application, moxibustion, and TCM enema, all of which exhibit significant effects in promoting beneficial microbiota and suppressing pathogenic strains. The regulatory impact of these TCM techniques on gut microbiota is closely associated with inflammatory response pathways and immunity. Conclusions: TCM techniques are extensively applied in disease management. Among them, moxibustion, acupoint application, TCM enema, and Tuina remain prominent and evolving areas of interest. Further empirical research is warranted to elucidate the biological mechanism underpinning these effects within the guidance of TCM pattern theory.

ABSTRACT Background While immune checkpoint inhibitors (ICIs) have shown significant efficacy, a common side effect is cutaneous immune‐related adverse events (irAEs). This study focuses on exploring the association between specific human leukocyte antigen (HLA) alleles and the development of cutaneous irAEs in melanoma patients undergoing ICI monotherapy and combination therapy. As certain HLA types are indicative of susceptibility to autoimmune diseases, it was hypothesized that HLA typing could serve as a potential screening tool for identifying patients at increased risk for developing irAEs. Methods A retrospective chart review was performed of 515 patients with melanoma who underwent ICI therapy, either as monotherapy or in combination, and had HLA typing available. This analysis spans from 2003 to 2023 with a focus on cutaneous irAEs. Statistical analyses were conducted to assess the association between HLA alleles and irAEs. Results Our analysis revealed that the HLA‐B*51:01 allele was associated with a higher risk of cutaneous irAEs after adjusting for ICI regimen (hazard ratio: 1.71 [95% CI, 1.12–2.61], p = .013.) Conclusion This is the largest study to link an HLA allele with ICI‐induced cutaneous irAEs. The findings may support the use of HLA typing as an initial screen for developing irAEs, providing a simple, straightforward metric that can be rapidly performed on patients prior to initiation of ICIs. However, further research is needed across different cancer and toxicity types.

Abstract Background In prostate cancer care, artificial intelligence (AI) models are increasingly used to generate personalized risk predictions by analyzing diverse data inputs, including clinical variables, imaging findings, and genomic indicators such as polygenic risk scores. However, effectively communicating these complex AI-derived risk estimates to patients presents significant challenges. Patients often struggle to understand probabilistic risk information, particularly when advanced algorithms generate it. Traditional cancer risk communication methods might not consider the complexities of AI outputs or differences in patient health literacy and numeracy. We propose a conceptual framework to guide patient-centered communication of AI-driven risk predictions. Methods We reviewed the existing literature on AI-based risk modeling, health risk communication, numeracy, dual-process information processing, and related theories to develop a communication framework designed explicitly for AI-based prostate cancer risk prediction tools. Results The proposed framework emphasizes clear, patient-specific risk communication strategies to enhance understanding and foster trust. It highlights a dual-process approach: offering intuitive visual aids and narrative explanations for quick, instinctive understanding, while also providing accurate statistics and explanations of the AI model’s reasoning for more deliberate processing. By addressing various patient numeracy levels and clearly explaining the AI model’s inputs, assumptions, and uncertainty in plain language, the framework aims to improve understanding and trust in AI-generated risk estimates. Additionally, to promote equity, it includes culturally responsive and accessible communication strategies tailored to patients’ linguistic, literacy, and cultural backgrounds. Conclusion This conceptual framework offers guidance on integrating AI-based risk prediction tools into prostate cancer consultations in a manner that is patient-friendly. By enhancing patients’ understanding of personalized risk information, building greater trust in AI-driven predictions, and addressing various communication needs, the framework helps facilitate more informed decision-making. Ultimately, patient-focused communication can help reduce disparities and promote more equity in prostate cancer care. Citation Format: Tingyu Zou, Folakemi Odedina. A Conceptual Framework for Communicating AI-Based Prostate Cancer Risk Predictions [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl):Abstract nr A083.

Context.— Optical genome mapping (OGM) represents a promising cytogenomic technology that detects structural variants, including fusions, rearrangements, copy number variants, and loss of heterozygosity, in a single assay. Unlike karyotyping, fluorescence in situ hybridization, or chromosomal microarray, OGM leverages long-molecule imaging to map the whole genome with high resolution. This positions OGM as a novel tool for constitutional and somatic/cancer genomics. However, its current and planned utilization in clinical and research settings remains unknown, necessitating further investigation. Objective.— To investigate the current utilization of OGM in clinical and research laboratories, assess its applications, and evaluate future utilization strategies. Design.— In 2024, a supplemental questionnaire was incorporated into 6 College of American Pathologists proficiency testing programs to evaluate OGM’s utilization. Results.— Of 921 returned questionnaires, 712 were analyzed after duplicates were removed. Sixty-seven (9.4%) currently offered OGM testing: 5.2% (37) for research only, 1.8% (13) for only clinical use, and 2.4% (17) for both. Future adoption plans showed 7.6% (53 of 700 laboratories) and 7.9% (55 of 700 laboratories) aiming to implement OGM clinically within 12 and 24 months, respectively. The most common applications included hematologic malignancies and constitutional/germline postnatal disorders, followed by prenatal testing. International laboratories demonstrated statistically higher utilization rates than domestic laboratories ( P = .001). Conclusions.— This first survey on OGM clinical utilization reveals its status as a niche technology, with 67 laboratories currently using it. Its primary clinical applications are in constitutional/germline analysis and hematologic malignancies. Although international laboratories led in 2024, 108 laboratories (domestic and international) plan clinical adoption within 24 months, signaling OGM’s potential for broader integration.