Citations

Atezolizumab-bevacizumab and durvalumab-tremelimumab have established immunotherapy as a first-line standard of care in advanced hepatocellular carcinoma (HCC). Yet, objective response rates (ORRs) remain confined to approximately 15-20%, and no validated predictive biomarker exists for patient selection. Unlike melanoma and lung cancer, conventional markers, including programmed death-ligand 1, microsatellite instability-high status, and tumor mutational burden, have not demonstrated reliable predictive value in HCC. Prior narrative reviews comprehensively catalogued the biomarker landscape through 2022 but predate a wave of clinically significant publications. This narrative review synthesizes evidence published between 2020 and 2026, with particular emphasis on 2023–2026 data, within a unified clinical framework not provided by prior reviews. We critically evaluate tissue-based biomarkers, including the AI-derived Atezolizumab-Bevacizumab Response Signature-Pathology model, spatial multiplex immunohistochemistry, and β-catenin mutational profiling; blood-based biomarkers encompassing circulating tumor DNA for minimal residual disease detection and peripheral immune phenotyping; and serum indices including the CRAFITY score and neutrophil-to-lymphocyte ratio. Hepatitis B virus etiology and non-alcoholic steatohepatitis are discussed as biological modifiers of biomarker performance. We propose an original biomarker-guided clinical algorithm, a comparative clinical readiness table, and a disease-continuum biomarker timeline as practical tools for clinicians and trialists. Prospective biomarker-enrichment trials represent the most critical next step toward clinical translation.

Abstract Background Molecular underpinnings and clinical characteristics of ERBB2/HER2-mutated colorectal cancers (CRCs) remain poorly understood. We aimed to comprehensively characterize the genomic landscape and clinical features of ERBB2/HER2-mutated CRC and to compare them with those of ERBB2/HER2-amplified CRC. Patients and methods We analyzed cBioPortal data from 4348 CRC patients with available ERBB2/HER2 profiling. Clinicodemographic features, microsatellite instability (MSI), tumor mutational burden, and alterations in 94 cancer-associated genes were evaluated using chi-square/Fisher’s exact test, Kruskal–Wallis test, and hierarchical clustering. Results ERBB2/HER2 putative driver mutations were identified in 95 patients (2.2%), amplifications in 87 (2.0%), and wild-type status in 4166 (95.8%). In the overall cohort, ERBB2/HER2-mutated tumors demonstrated significant KRAS enrichment (50.5%) compared to wild-type (37.7%; P = .014) and amplified tumors (18.4%; P < .001), alongside MSI enrichment (37.2% vs 1.6%; P < .001), elevated tumor mutational burden, and right-sided predominance. ERBB2/HER2-mutated tumors also showed broad driver co-alterations largely reflecting their MSI background. In contrast, ERBB2/HER2-amplified tumors exhibited left-sided predominance, with microsatellite stable (MSS)-restricted analyses revealing selective mutual exclusivity with KRAS (Log2 OR = −1.58; q = 0.019) and TP53 co-occurrence (Log2 OR = 2.04; q = 0.019). Hierarchical clustering confirmed that mutated and amplified tumors consistently occupy separate clusters across anatomical sites. Conclusion ERBB2/HER2 mutations and amplifications represent molecularly and clinically distinct subgroups. ERBB2/HER2-mutated tumors are characterized by an MSI-enriched, hypermutated background with frequent concurrent KRAS alterations, whereas amplified tumors exhibit selective KRAS mutual exclusivity and TP53 co-occurrence. These exploratory findings support alteration-specific therapeutic strategies in CRC.

Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies. Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from 1990 to 2023 and to quantify the contributions of population growth, aging, risk-deleted burden, and exposure changes to burden trends. Design, Setting, and Population This comparative risk assessment, part of the Global Burden of Disease Study 2023, estimated population-level LDL-C exposure and associated health loss in 204 countries and territories. Mean LDL-C levels were estimated using spatiotemporal gaussian process regression based on 806 studies across 161 countries. Relative risks were derived from meta-analyses of 38 randomized clinical trials. Population-attributable fractions for deaths and disability-adjusted life-years (DALYs) were estimated by age and sex for adults aged 25 years or older from 1990 to 2023, with 95% uncertainty intervals. Exposure Population-level LDL-C concentrations. Main Outcomes and Measures Population-attributable fractions, counts, and rates (all ages and age standardized per 100 000) of LDL-C–attributable deaths and DALYs from ischemic heart disease and ischemic stroke, with uncertainty intervals. Results In 2023, elevated LDL-C accounted for 3.6 million deaths (95% uncertainty interval, 2.2-5.4 million; 6.0% of global mortality) and 90.7 million DALYs (95% uncertainty interval, 58.9-123.3 million; 3.2% of DALYs). Although global all-ages rates remained stable, age-standardized death and DALY rates decreased by 45.6% and 39.5%, respectively, since 1990. In 2023, age-standardized LDL-C–attributable DALY rates were highest in Eastern Europe and lowest in high-income Asia-Pacific. One-third of the global LDL-C burden occurred in India and China. Population growth and aging drove the increasing burden, with notable regional disparities in LDL-C exposure and risk-deleted DALY rates shifting toward middle-sociodemographic settings. Conclusions and Relevance Despite declining age-standardized rates, the absolute LDL-C burden has increased since 1990 due to demographic changes and has shifted toward middle-sociodemographic countries. Measurement and surveillance gaps persist. Strengthened prevention, diagnosis, and treatment access strategies are essential to mitigate the health burden of LDL-C.

Background Traumatic injury is the fourth leading cause of death nationally; rural residents are twice as likely to die from injury as urban counterparts. On-scene mortality coverage gaps across regional trauma systems remain poorly characterized. Objective To identify geographic blind spots and time-critical, spatially advantageous on-scene deaths (2019-2023) that fall outside modeled 10-minute drive-time service areas across seven North Central state trauma regions. Methods This retrospective analysis geocoded death certificate records to ZIP Code Tabulation Areas and modeled 10-minute drive-time service areas in ArcGIS Online. EMS agency headquarters and staffing classification (volunteer, mixed, paid) were obtained from the DHS EMS Service Map. Candidate sites were identified by maximizing coverage of weighted, uncovered death centroids per region. Results Of 11,868 decedents (60.7% male; mean age 64.4 years [SD 25.6]; 49.9% fall, 26.4% firearm), 7815 had geocodable addresses. Coverage ranged from 53.5% (Western) to 87.0% (North Central); 5492 (70.3%) fell within a 10-minute service area. One candidate site per region could extend modeled coverage to 4-321 additional death locations (480 combined). Volunteer-dominant regions, where 63% of agencies reported scheduling gaps, had the lowest coverage, suggesting headquarters presence overstates availability. Conclusion Geospatial analysis identified actionable blind spots where one additional EMS resource per region could extend modeled coverage to hundreds of death locations. Because these are modeled coverage gains, not demonstrated mortality reductions, and depend in volunteer-dominant regions on staffing reliability that placement alone cannot resolve, the identified locations warrant further evaluation, not presumed survival benefit.

Abstract Early-phase clinical trials of Bruton’s tyrosine kinase (BTK) degraders have demonstrated efficacy in patients with BTK inhibitor-resistant chronic lymphocytic leukemia (CLL). How clinical resistance to BTK degraders arises is unknown. Here we sequenced serial CLL samples from patients enrolled in the phase I trials of zelebrudomide and bexobrutideg and observed recurrent expansion of preexisting BTK A428D mutations at relapse. Unlike previously studied BTK inhibitor resistance mutations, BTK A428D conferred pan-resistance to BTK inhibitors and degraders. In the absence of BTK-directed therapies, however, cells bearing BTK A428D exhibited a competitive disadvantage. A crystal structure of BTK A428D revealed that the mutant aspartate clashes with the adenine ring of ATP and the adenine-mimetic moiety of BTK inhibitors and degraders. Combining BTK degraders with venetoclax mitigated the expansion of BTK A428D. These results provide the molecular basis for clinical resistance to BTK degraders and will inform the development of next-generation BTK degrader therapies.

Abstract Endometriosis affects an estimated 10% of reproductive-age women and girls worldwide, approximately 190 million individuals, yet its molecular pathogenesis remains incompletely understood and current treatments rely largely on hormonal suppression, surgery, and symptom management. We developed a multi-stage single-cell transcriptomic pipeline to identify lesion-associated cellular niches that may coordinate immune tolerance, failed lesion clearance, fibrotic remodeling, and chronic pelvic pain, with the goal of prioritizing non-hormonal therapeutic hypotheses. Using the public Tan et al. atlas, GSE179640, comprising more than 122,000 cells from 14 individuals across control endometrium, eutopic endometrium, peritoneal lesions, adjacent peritoneal tissue, and ovarian lesions, the workflow combines Harmony integration, GenoRefine dimensionality reduction, unsupervised clustering, tissue-type stratification, and donor-aware pseudobulk differential expression. A mechanism-anchored scoring framework ranks GenoRefine clusters across T-cell suppression, macrophage tolerance, neuroimmune pain, CGRP/RAMP1 macrophage reprogramming, efferocytosis context, perivascular angiogenic remodeling, fibrosis, and lesion-type enrichment. Candidate immune-pain hubs are evaluated using curated ligand-receptor and mediator-axis analyses and exported for CellPhoneDB/LIANA validation, enabling complex-aware communication scoring across cytotoxic T-cell and neuroimmune-responsive compartments. The prostaglandin pathway is modeled as PTGS2/PTGES-driven PGE2 production coupled to PTGER2/PTGER4 receptor response, avoiding an incorrect direct ligand-receptor representation. Drug mapping proceeds by consolidating hub markers, pseudobulk-supported genes, ligand-receptor partners, and mediator-axis targets into disease-axis target sets; annotating them through DGIdb-informed drug-gene interactions and druggability classes; and formatting lesion up/down signatures for CLUE/LINCS perturbational reversal. Drug prioritization generates separate shortlists for pain/neuroimmune signaling, immune tolerance, fibrosis/angiogenesis, CGRP/RAMP1 macrophage biology, and efferocytosis-context targets. Each candidate is annotated by desired intervention direction, evidence level, lesion-type enrichment, cell-type specificity, pseudobulk support, communication support, and translation caution. CGRP/RAMP1 is prioritized as a clinically tractable neuroimmune axis because CGRP-pathway agents are approved in migraine and preclinical endometriosis models implicate nociceptor-to-macrophage CGRP signaling in pain and lesion growth; however, endometriosis-specific efficacy and reproductive safety require validation. Neuronal markers are interpreted as lesion-context signals pending spatial validation. This framework provides a reproducible drug-discovery strategy for identifying immune-pain hubs and prioritizing druggable non-hormonal axes in endometriosis. Citation Format: Ariana F. Rahman. Decoding the endometriosis immune–pain axis: A single-cell pipeline for neuroimmune hub discovery and drug prioritization [abstract]. In: Proceedings of AACR Drug Discovery and Development (AACR D3) Conference; 2026 Jul 21-24; Boston, MA. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(14_Suppl):Abstract nr A044.

Importance Ischemic heart disease (IHD), the leading cause of death in the US, is predominantly due to modifiable risk factors. Estimates of IHD mortality attributable to risk factors provide evidence for health policy decision-making. Objective To estimate the burden of IHD death attributable to risk factors in the US from 1990-2023. Design, Setting, and Participants The Global Burden of Disease Study 2023 (GBD 2023) used vital records and a broad set of epidemiologic data to estimate IHD death rates, risk factor exposure, and relative risk curves for risk-outcome pairs for 1990-2023 for the general population. Data analysis was performed from October 2024 to December 2025. Exposure Twelve metabolic, behavioral, and environmental risk factors. Main Outcomes and Measures The primary outcomes were IHD death rates per 100 000 persons, counts, and attributable risks from 1990-2023 by age, sex, and US state. Estimates include 95% uncertainty intervals (UI). IHD death rates were estimated using ensemble modeling methods. Risk exposures were estimated using bayesian meta-regression methods. Relative risks were estimated following the Burden of Proof framework. Results In 2023, there were 473 000 IHD deaths (95% UI, 414 000-510 000) in the US, a decrease of 58.7% (95% UI, 56.8%-61.0%) in age-standardized rate since 1990. Between 2010 and 2023, there was a 19.0% decrease (95% UI, 15.0%-22.9%) for males and a 24.5% decrease (95% UI, 20.3%-29.7%) for females in IHD death rates. High systolic blood pressure (SBP), dietary risks, and high low-density lipoprotein cholesterol (LDL-C) were the leading risk factors for IHD deaths in 2023, accounting for 47.2% (95% UI, 36.4%-57.0%), 38.6% (95% UI, 17.2%-56.8%), and 28.5% (95% UI, 19.3%-39.6%) of IHD deaths, respectively. Increased exposure to several risk factors substantially increased their attributable burden for IHD deaths in 2023, with high fasting plasma glucose (FPG) increasing 38.8% (95% UI, 11.5%-81.1%) and high body mass index (BMI) increasing 54.5% (95% UI, 41.8%-66.3%) since 1990. Smoking and particulate matter pollution had the greatest decrease in attributable IHD mortality since 1990, at 33.3% (95% UI, 23.6%-41.7%) and 74.9% (95% UI, 46.7%-88.8%), respectively. Conclusion and Relevance Per the results of this systematic analysis of GBD 2023, a total of 88.7% (95% UI, 83.4%-92.5%) of IHD deaths were attributable to modifiable risk factors in the US in 2023, with high SBP, dietary risks, and high LDL-C being the greatest contributors. High BMI and high FPG showed the largest attribution increases, while exposure to other risks did not increase significantly for the population.

Background: Hypertensive disorders of pregnancy (HDP), gestational diabetes mellitus (GDM), and preterm delivery are associated with higher long-term cardiovascular, metabolic, and kidney disease risk. Their implications for living kidney donation remain uncertain. Methods: We conducted a retrospective cohort study of 498 female living kidney donors (2000–2017) from the Mayo Clinic Living Donor Program with documented pregnancy histories, pre-donation CT angiography, implantation kidney biopsy, and measured GFR. Donors with prior HDP (n=45), GDM (n=18), or preterm delivery (n=65) were compared with donors without adverse pregnancy outcomes (APO; n=385). Kidney morphometry, histology, and function were analyzed with adjustment for age at donation and first pregnancy, parity, and hypertension. Post-donation kidney outcomes were assessed using surveys and medical record review. Results: Donors with prior HDP and GDM had higher BMI at donation (+7.9% and +8.9%; p=0.006 and 0.04), whereas donors with preterm delivery had lower BMI (−4.8%; p=0.03) compared with donors with no APO. After adjustment, donors with HDP showed no differences in kidney volumes, biopsy features, or kidney function at donation or during follow-up. Donors with GDM had larger total and cortical kidney volumes (9.5–10%), less arterial luminal stenosis, and higher 5-year post-donation eGFR (+15%; p=0.03). Donors with preterm delivery had a lower risk of eGFR <45 mL/min/1.73 m 2 (HR 0.28; p=0.03). Conclusions: Prior adverse pregnancy outcomes were not associated with adverse kidney structure at donation or accelerated kidney function decline post-donation. These findings support that APO history alone should not preclude living kidney donation when other eligibility criteria are met.