Citations

ABSTRACT Background and Aims Primary sclerosing cholangitis (PSC) is a progressive cholestatic liver disease with a high risk of malignancy and limited therapeutic options. Both the American Association for the Study of Liver Diseases (AASLD) and the European Association for the Study of the Liver (EASL) recommend structured baseline evaluation, fibrosis staging and longitudinal surveillance. However, real‐world adherence to these practices in North America remains unclear. Methods We conducted a retrospective cohort study of 1300 patients with PSC enrolled in the Consortium for Autoimmune Liver Diseases (CALiD) registry between 2018 and 2024 across 19 centres in North America. Guideline adherence was assessed for diagnostic measures at baseline (colonoscopy to establish IBD status and noninvasive fibrosis staging) and longitudinal surveillance (colonoscopy in PSC‐IBD, abdominal imaging for hepatobiliary cancer surveillance and CA 19‐9 testing). Prescribing patterns for ursodeoxycholic acid (UDCA) were also characterised. Multivariable logistic regression was used to evaluate demographic, clinical and socioeconomic predictors of adherence. Results At diagnosis, 78.8% of eligible patients with available data underwent colonoscopy to establish IBD status, and 45% underwent noninvasive fibrosis staging. During follow‐up, only 30%–35% of patients with PSC‐IBD underwent colonoscopy annually, while abdominal imaging for hepatobiliary cancer surveillance declined from 74% at Year 1 to 51% by Year 4. CA 19‐9 testing was documented in 47% over 5‐year period. UDCA was prescribed in 51% at baseline, with median dose of 12.5 mg/kg/day. Socioeconomic factors, including lower education and household income, were associated with reduced adherence, while cirrhosis strongly predicted completion of surveillance imaging. Conclusions Adherence to guideline‐based care in PSC remains suboptimal in North America Suboptimal adherence was observed for strongly recommended practices with longstanding guideline support (colonoscopy to establish IBD status; annual CRC surveillance in PSC‐IBD) as well as practices where guideline consensus has evolved more recently or where societies differ (baseline fibrosis assessment; hepatobiliary cancer imaging). Efforts to standardise care and address socioeconomic barriers are urgently needed to improve outcomes.

Introduction: Online self-triage is a newer eHealth modality, and there is a paucity of research on patient adherence to self-triage recommendations. We evaluated patient compliance with online self-triage guidance to seek emergency care and compared to nurse-triage adherence rates. Methods: We reviewed primary care empaneled patients who had either nurse phone triage or an online self-triage encounter that resulted in an emergency care recommendation between January 1, 2023, and November 30, 2024. Patients triaged for mood concerns, abdominal pain, chest pain, constipation, cough, and diarrhea were included. We reviewed whether patients had an emergency department visit within 24 h of their triage encounter. For self-triage encounters, we also examined whether patients called nurse triage within 24 h of their self-triage encounter. Results: There were 689 self-triage and 2,385 nurse triage encounters with an emergency care endpoint. Adherence to the emergency care recommendation was substantially lower after self-triage (22%) than after nurse triage (61%). Patients who underwent nurse triage were significantly more likely to seek emergency care than those who self-triaged (odds ratio of 5.4 [95% CI: 4.5–6.6] p < 0.001). Both male and female patients were less likely to follow emergency care recommendations after self-triage compared to nurse triage ( p < 0.001). There were 258 patients with an emergency care endpoint from self-triage who chose to call nurse triage (median time between encounters of 16 min). Only 78 (30.2%) also received an endpoint recommendation for emergency care, and 73% of those patients sought emergency care within 24 h. Discussion: Patient compliance with online self-triage recommendations to seek emergency care was poor and significantly less than nurse triage. Follow-up calls to nurse triage led to higher compliance. Health systems using online symptom checkers should consider employing mechanisms to follow up on emergency care recommendations. Further research should elucidate factors that contribute to patients’ willingness to follow care recommendations.

Abstract Background: Combination immune checkpoint inhibitor (ICI) therapy represents a standard-of-care for patients with metastatic melanoma. However, &gt;40% of patients do not respond to treatment and severe immune-related toxicity affects up to 60% of patients. Accordingly, we need more precise ways to select patients for combination ICIs. To address this, we developed LiquidTME, a liquid biopsy method based on Spatial EcoTyper (Cancer Res (2025) 85 (8_Supplement_1): 153) that leverages a deep learning approach to noninvasively assess the tumor microenvironment from cell-free DNA (cfDNA) methylation data. LiquidTME was previously trained to predict ICI response using 78 patients with advanced melanoma treated at Yale University. Here we performed a blinded validation of LiquidTME in coordination with clinicians at Washington University (WashU). Methods: The WashU cohort consisted of pre-ICI plasma from 34 patients with advanced melanoma, each treated with ipilimumab and nivolumab (n=27) or relatlimab and nivolumab (n=7). ICI response was classified as durable clinical benefit (DCB) or no durable benefit (NDB) by a board-certified oncologist. Tumor mutational burden (TMB) was determined for 27 patients using commercial CLIA assays and analyzed as nonsynonymous mutations (mt) per megabase (Mb), using the FDA-approved 10 mt/Mb cutpoint for TMB-high and -low groups. The WashU cohort was sent to a scientific team that was blinded to all clinical and TMB data. Cell-free DNA was extracted from 2 mL plasma per patient and subjected to enzymatic methyl-seq (EM-seq) at a median depth of 15x. LiquidTME was performed on the resulting profiles, yielding a binary response prediction and a continuous response score for each sample. Test results were locked down and returned. Both assays were compared by AUC and two-sided Wilcoxon rank-sum tests for response classification, and Kaplan-Meier analysis for progression-free survival (PFS). Results: Median follow-up time of the cohort was 21.6 months. LiquidTME performed on cycle 1 day 1 pre-ICI plasma significantly stratified PFS with a hazard ratio (HR) of 0.27 (P = 0.005), with LiquidTME(+) patients achieving a median PFS of 1.7 years longer than LiquidTME(-) patients. LiquidTME distinguished DCB from NDB with an AUC of 0.77 (P = 0.007). Similar performance was seen across distinct combination ICI regimens. In patients with TMB data, LiquidTME maintained whole-cohort performance with a PFS HR of 0.30 (P &lt; 0.03; AUC = 0.77). In contrast, TMB high vs. low subsets failed to stratify PFS (HR = 0.49; P = 0.17) or response (AUC = 0.53; P = 0.8). Conclusion: LiquidTME identified durable responders to combination ICI from pretreatment plasma in this blinded validation cohort of melanoma patients. Given its favorable performance, LiquidTME shows promise as a clinical tool to guide personalized immunotherapy decision-making. Citation Format: Aadel A. Chaudhuri, David Y. Chen, Tucker Hansen, Mirna Jarosz, Vincent A. Miller, Aaron M. Newman. Blinded clinical validation of LiquidTME, a cell-free DNA assay for predicting response to immunotherapy by noninvasively profiling the tumor microenvironment [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 1040.

Abstract Background: Primary Cardiac Lymphoma (PCL) is an exceptionally rare malignancy. While clinical case reports have postulated an association with human immunodeficiency virus (HIV), large-scale epidemiological data corroborating this link are limited. Objective: To determine whether HIV is associated with increased prevalence of PCL in a large, nationally representative sample of US hospitalizations. Methods: We performed a retrospective, cross-sectional analysis using the Healthcare Cost and Utilization Project National Inpatient Sample from 2016 to 2019, representing approximately 35 million unweighted hospitalizations. Hospitalizations were identified using a proxy definition for PCL, requiring ICD-10-CM codes for both cardiomyopathy (I42.*) and extranodal non-Hodgkin lymphoma (i.e., C83.39, C85.99). HIV status was identified using codes B20-B24 and Z21. We compared the prevalence of PCL in hospitalizations with versus without HIV and calculated odds ratios using Fisher’s Exact Test, reporting corresponding 95% confidence intervals (CI) and p-values. Results: We identified 569 hospitalizations meeting our operational definition for PCL out of 34,955,252 total discharges. The prevalence of PCL was significantly higher among hospitalizations with HIV (6.2 per 100,000) compared with those without HIV (1.6 per 100,000; p &lt; 0.0001). HIV was associated with a 3.86-fold increased odds of PCL (OR: 3.86; 95% CI: 2.23-6.70; p &lt; 0.0001). Conclusion: In this nationwide analysis of 35 million hospitalizations, HIV was strongly associated with a higher prevalence of PCL. Hospitalizations with HIV had nearly 4-fold higher odds of PCL, as defined by co-occurrence of cardiomyopathy and extranodal lymphoma, compared with hospitalizations without HIV. This population-level finding evinces the association previously suggested in clinical case reports. Citation Format: Omar Hozayen, Jay Hozayen, Benjamin Behers, Christoph Stephenson-Moe, Maha Hameed, Matthew Miller, Laura De Jesus Herrera, Anas Abu Jad, Rheiner Kammer, Mohab Idriss, Ahmed Aboutaleb, Bashar Roumia, Patricia Riano, Nicolas Riveros Neira, Brooke Hartenstein, Robert Taylor, Manuel Rosario Espinal, Brett M. Behers, Alya Hozayen, Mohamed Ibrahim, Karen Hamad. Primary cardiac lymphoma and HIV: A nationwide analysis of hospitalizations [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 215.

PURPOSE Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide. The higher incidence and earlier onset of HCC in sub-Saharan Africa suggest a potential role for a genetic predisposition. This study evaluated the association of TERT -rs2242652-(A), a variant linked to lower HCC risk, with HCC in populations from Ghana, Nigeria, and Cameroon, compared with a population from the United States. METHODS The study included 537 patients with HCC: United States (n = 348), Ghana (n = 79), Nigeria (n = 43), and Cameroon (n = 67). The control group had 2,872 cancer-free individuals: United States (n = 2,399), Ghana (n = 323), Nigeria (n = 85), and Cameroon (n = 65). Whole-exome sequencing was conducted using germline DNA, and data for TERT -rs2242652 were analyzed. Odds ratios (ORs) and 95% CIs were calculated using unconditional logistic regression. Chi-square tests assessed protective allele frequencies. RESULTS In the US cohort, TERT -rs2242652 was significantly associated with lower HCC risk (OR, 0.75 [95% CI, 0.58 to 0.96]; P = .02), with an allele frequency of 18.8% (15.4% in HCC cases v 19.3% in controls). In the combined sub-Saharan African population, no significant association was observed, but there was a trend toward decreased HCC risk (OR, 0.80 [95% CI, 0.53 to 1.22]; P = .29), with an allele frequency of 12.2% (10.6% in HCC cases v 12.9% in controls). Separate analyses of Ghanaian, Nigerian, and Cameroonian populations showed similar nonsignificant trends. The protective allele frequency in the combined African populations was significantly lower than in the US cohort ( P < .0001). CONCLUSION In sub-Saharan African populations, there was a lower frequency of the HCC protective allele TERT -rs2242652 compared with European Americans. These findings underscore the importance of multiethnic genetic studies in understanding population differences in HCC risk and developing prevention strategies.

Abstract Objectives Patients referred for specialized care often arrive with outside medical records (OMRs) compiled into multi-report PDFs that include imaging, pathology, and clinical notes in unstructured formats. Reviewing these records is time consuming and mentally taxing, increasing the risk of delayed care, clinician frustration, and missed information affecting quality of care. This study aimed to automate the segmentation, classification, and date extraction of scanned OMRs, with a focus on records relevant to breast cancer care. Materials and Methods We used optical character recognition (OCR) to extract machine-readable text from 1303 scanned PDF documents from 116 distinct external institutions. Gemini 1.5, a large language model (LLM), was then used to segment multi-report files into individual documents, classify them into clinically meaningful categories such as mammograms and pathology reports, and extract study dates to build diagnostic timelines. Document categories were informed by clinical workflows in a breast cancer center. Results The system achieved an F1 score of 0.95 for segmentation, 0.96 for classification, and 0.90 for date extraction. In a pilot of 45 records reviewed by clinicians, only 2 classification errors and 1 date error were reported. Clinicians estimated that the tool reduced OMR review time by 40%, improved workflow efficiency, and increased satisfaction. Discussion Our findings demonstrate that combining OCR with LLMs can significantly enhance the processing of unstructured medical records, reducing manual burden and supporting timely clinical decision-making. Conclusion This study demonstrates the successful application of OCR and LLMs for organizing scanned OMRs within a specialty clinic. By automating a previously manual process, the approach supports scalable review of incoming outside records and has potential for adaptation to other clinical workflows. Future work will focus on evaluating the system across additional specialties and institutions.