Citations

Abstract Understanding tumor cell dynamics can improve prognosis and treatment but remains limited for lung adenocarcinoma in people who have never smoked (NS-LUAD). With RNA sequencing data from 684 NS-LUAD cases and validation in an independent dataset, we identified three subtypes with distinct phenotypic traits and cell compositions. Additional genomic and histologic data further characterized the subtypes. “Steady,” marked by low proliferation, high alveolar cell fraction, moderate-to-well differentiation, and fewer driver gene alterations, is linked to prolonged survival and low immune evasion. “Proliferative” shows high proliferation markers, TP53 mutations, and gene fusions. “Chaotic,” with high epithelial-to-mesenchymal transition markers, has the worst prognosis, even within stage I tumors. Lacking known molecular or histologic characteristics, this aggressive subtype is solely identified by transcriptomic data. A 60-gene signature recapitulates the classification and predicts survival even within subgroups based on tumor stage or known genomic features, emphasizing its potential for improving early-stage NS-LUAD prognostication in clinical settings. Significance: The transcriptome of 684 NS-LUAD identifies three subtypes with different cellular dynamics and genomic and morphologic features. A 60-gene signature accurately stratifies subjects for mortality risk, even in stage I, offering a potential clinically applicable tool for treatment decision-making in patients with NS-LUAD. See related commentary by Azizi et al., p. 423

Background Challenges in predicting which neoantigens mediate tumor rejection limit the efficacy of neoantigen vaccines to treat cancers, especially for cancers with a high mutational burden like cutaneous squamous cell carcinoma (cSCC). Only a small portion of neoantigens prioritized by current methods elicit effective T cell responses, demonstrating the critical need for improved criteria for the prediction of tumor-rejecting neoantigens. Methods Publicly available human cSCC datasets were used to assess the frequency of shared mutations between patients. A transplantable ultraviolet light-induced mouse model of cSCC was generated. The mutational signature and driver mutations in the mouse model were compared with human tumors. Neoantigens were prioritized in the mouse model, and tumor-rejecting neoantigens were identified through (enzyme-linked immunosorbent spot (ELISpot) and in vivo prophylactic vaccination. Binding of the neoantigens and corresponding wild-type peptides to major histocompatibility complex (MHC) class I was determined. Structural modeling of peptide:MHC complexes was performed to assess for changes in structural characteristics of the neoantigens relative to the wild-type peptides. Results A minority of human cSCC tumors shared neoantigens. The mouse cSCC model recapitulated the mutational signature and driver mutations found in human disease and was constrained by CD8 T cells. Two MHC class I neoantigens were identified in the mouse model that constrained cSCC growth. One tumor-rejecting neoantigen exhibited improved MHC binding, and the other had increased solvent accessibility of the mutated residue, compared with wild-type. Across known neoantigens that do not impact MHC binding, increased exposure of the mutated residue distinguished tumor-rejecting from non-immunogenic neoantigens. Conclusions Given the paucity of shared mutations, this work supports the need for personalized neoantigen vaccines in cSCC. To facilitate further discovery, we provide a clinically relevant mouse cSCC model with two defined neoantigens that mediate tumor rejection. Structural changes in the exposure of features that promote T cell receptor recognition defined tumor-rejecting neoantigens. Incorporation of structural modeling to predict changes in T cell receptor accessibility is anticipated to improve the selection of neoantigens for inclusion in personalized cancer vaccines.

BACKGROUND: Significant disparities persist in timely, guideline-concordant breast cancer treatment across the US, impacting cancer outcomes. The influence of both patient-level and facility-level socioeconomic status (SES) on adherence to Commission on Cancer quality measures remains incompletely understood. STUDY DESIGN: We conducted a retrospective cohort study using the National Cancer Database to assess associations between patient and facility SES and concordance with timeliness of 3 Commission on Cancer breast cancer quality measures: surgery, multiagent chemotherapy, and radiotherapy, among patients diagnosed from 2018 to 2022. Multivariable logistic regression models were used to evaluate predictors of concordant care, including a composite measure of facility-level social risk. RESULTS: The analytic cohorts included 471,425 patients for surgery, 82,734 for chemotherapy, and 311,523 for radiotherapy. Black race, uninsured status, and lower educational attainment were each independently associated with lower odds of receiving guideline-concordant care across all measures. Patients treated at low-SES facilities had higher odds of receiving timely surgery (adjusted odds ratio [OR] 1.27, 95% CI 1.24 to 1.31) but lower odds of receiving timely chemotherapy (OR 0.85, 95% CI 0.79 to 0.91) and radiotherapy (OR 0.95, 95% CI 0.92 to 0.97) compared with those at other institutions. Facility type, fragmented care, and comorbidities also contributed to variation in concordance. CONCLUSIONS: Significant disparities in guideline-concordant breast cancer care persist by race, insurance, education, and facility-level social risk, highlighting intervention opportunities to improve outcomes for these already vulnerable populations. These findings highlight the importance of policy and institutional strategies that address both patient- and facility-level barriers to ensure equitable access to high-quality multidisciplinary treatment.

Abstract Aims The efficacy and safety of vericiguat in patients with chronic heart failure with reduced ejection fraction (HFrEF) on contemporary heart failure (HF) therapies and without recent worsening was investigated in the VICTOR trial, yet some subgroups may be more susceptible to symptomatic hypotension. Methods and results Among VICTOR trial participants that received at least one dose of study drug or placebo, we describe the systolic blood pressure (SBP) trajectories over time (mean change from baseline), symptomatic hypotension events and efficacy of vericiguat in potentially vulnerable patient subgroups: lower baseline blood pressure (SBP ≤110 mmHg), older patients (>75 years) and those taking angiotensin receptor–neprilysin inhibitors (ARNI) or sodium–glucose co-transporter 2 inhibitors (SGLT2i) at baseline. The efficacy outcomes of cardiovascular death and HF hospitalization and cardiovascular death alone across baseline SBP were examined using Cox proportional hazards models. Overall SBP trajectories showed a small initial decline from baseline in vericiguat-treated patients compared with placebo (placebo-corrected differences of −1.17 [−1.84, −0.50], p = 0.0007) that was relatively stable throughout follow-up. This trajectory was similar in those >75 years (vs. younger) as well as those receiving ARNI or SGLT2i (as compared with those not receiving these) or those with SBP ≤110 mmHg at baseline (compared with >110 mmHg). Symptomatic hypotension occurred in 11.3% of vericiguat-treated patients compared with 9.2% of placebo-treated patients with an adjusted hazard ratio of 1.24 (95% confidence interval 1.06–1.46), which was similar across age, SBP, SGLT2i and ARNI groups (all interaction p >0.05). The treatment effect of vericiguat compared with placebo on the efficacy outcomes was similar across the spectrum of baseline SBP (both interaction p >0.15). Conclusions Vericiguat showed a slight adjusted decrease in SBP and resulted in more symptomatic hypotension compared with placebo but was overall well-tolerated in a broad population with HFrEF on contemporary therapy even among those predisposed to hypotension. Treatment effects on efficacy outcomes were consistent regardless of baseline SBP.

ABSTRACT Introduction Publication bias (PB) threatens the validity of meta‐analyses by distorting effect size estimates, potentially leading to misleading conclusions. With advanced pattern recognition and multimodal capabilities, large language models (LLMs) may be able to evaluate PB and make the systematic review process more efficient. Methods We evaluated the ability of two state‐of‐the‐art multimodal LLMs, GPT‐4o and Llama 3.2 Vision, to detect PB using funnel plots alone and in combination with quantitative inputs. We simulated meta‐analyses under varying conditions, including the absence of PB, different levels of presence of PB, varying total number of studies within a meta‐analysis, and differing degrees of between‐study heterogeneity. Results Neither GPT‐4o nor Llama 3.2 Vision consistently detected the presence of PB across various settings. Under no‐publication‐bias conditions, GPT‐4o achieved a higher specificity outperforming Llama 3.2 Vision, with the difference most shown in the meta‐analyses with 20 or more studies. The inclusion of quantitative inputs alongside funnel plots did not significantly improve performance. Additionally, between‐study heterogeneity and patterns of non‐reported studies had minimal impact on the models’ assessments. Conclusions The ability of LLMs to detect PB without fine‐tuning is limited at the present time. This study highlights the need for specialized model adaptation before LLMs can be effectively integrated into meta‐analysis workflows. Future research can focus on targeted refinements to enhance LLM performance and utility in evidence synthesis.

Abstract Importance Mesenchymal stromal cells (MSCs) possess therapeutic properties that mediate repair. Obesity impairs MSC functionality and therapeutic efficacy, possibly by eliciting dynamic modifications of epigenetic markers, like 5-hydroxymethylcytosine (5hmC). Objective We hypothesized that human obesity alters the 5hmC landscape and anti-inflammatory capacity of adipose tissue-derived MSCs to activate the prominent inflammatory signaling mediator Interleukin (IL)-1β. Design, Setting, Participants, Intervention Adipose tissue samples were collected from obese and lean individuals (body mass index ≥30 or <30 kg/m2, respectively, n = 11 each) during weight-loss or kidney donation surgery. Main Outcomes and Measures MSCs were harvested and analyzed for 5hmC profiles (MeDIP-seq) and mRNA expression (RNA-seq) (n = 5 each). Subsequently, MSCs or a vehicle were injected into mice, (n = 6 each) and two-weeks later, kidneys were evaluated using in-vivo magnetic resonance imaging and ex vivo studies. The role of IL-1β was then studied in-vitro in MSC-induced immunomodulation using siRNA in macrophages. Results Compared to MSC from lean patients, obese-MSC genes showed 2087 differential 5hmC modifications and 175 differential mRNA expression. Among them, 14 genes with overlapping alterations were involved in regulation of cytokine production, prominently IL-1β. Injecting obese MSCs elevated renal expression of IL-1β and M1 macrophage count but lowered kidney perfusion. Silencing IL-1β in obese-MSCs in vitro reduced M1 phenotype switching in co-incubated macrophages. Conclusions and Relevance Obesity induces epigenetic and gene expression changes in MSCs, particularly in IL-1β, associated with impaired anti-inflammatory functionality of MSCs. Targeting IL-1β could be a useful therapeutic approach to modulate the decline in MSC functionality resulting from obesity.

Abstract Background and Aims In the VICTOR trial (NCT05093933), vericiguat was neutral for the primary composite endpoint of cardiovascular death or hospitalization for heart failure (HF). VICTOR was powered to independently assess cardiovascular death. This study reports detailed analysis on the effects of vericiguat on mortality. Methods VICTOR, a double-blind, placebo-controlled, randomized trial, enrolled 6105 ambulatory patients with HF and reduced ejection fraction (HFrEF) without recent worsening and randomized them to vericiguat or placebo. The main outcome for this analysis was the pre-specified secondary endpoint of cardiovascular death. All-cause death, sudden cardiac death, and death related to HF were also assessed. Results Over a median of 19.7 months (inter-quartile range 14.6–25.4), cardiovascular deaths occurred in 292 patients (5.7 deaths per 100 patient-years) and 346 patients (6.8 deaths per 100 patient-years) in the vericiguat and placebo groups, respectively (hazard ratio [HR] 0.83, 95% confidence interval [CI] 0.71–0.97; P = .020). Risk of death from any cause was lower with vericiguat vs placebo (377 [7.3 deaths per 100 patient-years] vs 440 [8.6 deaths per 100 patient-years]; HR 0.84, 95% CI 0.74–0.97; P = .015). Sudden cardiac death and HF-related deaths were lower with vericiguat vs placebo (1.6 vs 2.2 events per 100 patient-years; HR 0.75, 95% CI 0.56–0.99; P = .042 and 1.7 vs 2.4 events per 100 patient-years; HR 0.71, 95% CI 0.54–0.94; P = .016, respectively). Lower mortality rates were consistent across subgroups including baseline therapy. Consistent cardiovascular and all-cause mortality benefit was seen across baseline N-terminal pro-B-type natriuretic peptide levels. Conclusions In ambulatory well-treated participants with HFrEF, vericiguat was associated with clinically meaningful reductions in the key secondary outcome of cardiovascular death, as well as all-cause mortality.

Abstract Aging increases the vulnerability of kidneys to injury and impairs their regenerative capacity. SIRT3 expression declines with aging and is associated with multiple age‐related pathologies. The expression profile and functional role of SIRT3 in renal aging remain unclear. Here, SIRT3 expression in aging kidneys is assessed and analyzed for its promoter methylation patterns using methylation‐specific PCR (MSP). It is found that aging exacerbates UUO‐induced renal fibrosis, associated with downregulated SIRT3 expression. Mechanistically, age‐related SIRT3 downregulation is mediated by hypermethylation of its promoter region. SIRT3 knockout exacerbated renal fibrosis in young mice subjected to UUO, whereas SIRT3 overexpression attenuated fibrosis in aged UUO mice. Integration of RNA‐seq and immunoprecipitation‐mass spectrometry (IP‐MS) analyses revealed that SIRT3 deficiency leads to hyperacetylation of GSK3β at lysine 15 (K15). This K15 hyperacetylation inhibited GSK3β activity, consequently stabilizing its substrate β‐catenin. Furthermore, self‐assembled PEG‐PCL‐PEG micelles are designed and synthesized to encapsulate hydrophobic honokiol (HKL). These micelles significantly enhanced the aqueous solubility and oral bioavailability of free HKL, maintained stable blood concentrations, and ultimately improved its anti‐fibrotic efficacy. These findings propose novel therapeutic strategies for managing renal fibrosis in the aging population and provide a foundation for developing new drugs and combination therapies.

9009 Background: International Medical Graduates (IMGs) are a vital component of the US oncology workforce, representing nearly half of practicing medical oncologists. However, systemic barriers may influence their career trajectories differently. Understanding these challenges is essential for addressing workforce disparities and optimizing cancer care delivery across diverse geographic regions. Methods: We conducted a cross-sectional study of 13,497 medical oncologists using the 2024 Dec CMS Provider Dataset linked with the 2023 Rural-Urban Continuum Codes (RUCC). Medical oncologists were identified by their self-reported primary specialties, including Hematology/Oncology, Medical Oncology, and Hematopoietic Cell Transplant. Physicians were categorized by graduation origin (based on their self-reported medical school), career stage (early: 0–10 years, mid: 11–30 years, late: >30 years post-medical school graduation). The primary outcomes included practice at Main Campus of NCI Designated Cancer Centers (as an indicator of academic practice) and the geographical location of their practice (Metro, Non-Metro, Mixed). We employed chi-squared tests for statistical comparisons and performed stratified analyses by career stage to evaluate transition patterns over time. Results: 6920 IMGs constituted 48.7% of the oncology workforce, with similar gender distributions between IMG and non-IMG oncologists (37.9% vs 36.5% female, p=0.068). Notably, early career oncologists were less likely to be IMGs (IMG vs non-IMGs: 8.2% vs 12.5%, p<0.001). Compared to Non-IMGs, IMG oncologists are less likely to practice at main campuses of NCI Center (19.9% vs. 27.7%, p<0.001), especially as their career advances (all p<0.01). (Table). IMGs had higher representation in non-metropolitan areas than non-IMGs (11.4% vs 9.1%, p<0.001), particularly in late-career stages (14.7% vs 12.3%, p=0.033), indicating their unique role in serving underserved regions. (Table). Conclusions: Our findings reveal that, IMGs are less likely to practice at main campuses of NCI-Cancer Center than their non-IMG colleagues. Meanwhile, IMG oncologists are disproportionately serving rural communities. Supporting IMG pathways in oncology is critical to ensure a balanced cancer care delivery across the United States. Practice setting distribution and academic affiliation among international medical graduates (IMGs) and US graduates (USGs) by career stage. IMG (N=6,577) Non-IMG (N=6,920) IMG (N=6,577) Non-IMG (N=6,920) NCI Center Other NCI Center Other Metro Non-Metro/Mixed Metro Non-Metro/Mixed Total 19.9% 80.1% 27.7% 72.3% 88.6% 11.4% 90.9% 9.1% Career Stage Early (0-10y) 29.1% 70.9% 36.1% 63.9% 91.1% 8.9% 95.4% 4.6% Mid (11-30y) 21.3% 78.7% 28.8% 71.2% 90.1% 9.9% 91.6% 8.4% Senior (30+y) 15.0% 85.0% 22.0% 78.0% 85.3% 14.7% 87.7% 12.3%