Citations

PURPOSE Cancer care capacity in sub-Saharan Africa (SSA) is constrained by late diagnosis and limited treatment access. Few funding mechanisms support innovative, locally led programs to address these challenges. A collaborative initiative was developed to strengthen oncology care through quality improvement (QI) projects. MATERIALS AND METHODS The program was developed by Global Bridges Oncology (GBO) at Mayo Clinic, Pfizer Global Medical Grants, and the African Organisation for Research and Training in Cancer. A committee composed primarily of African oncology experts guided the process. An RFP was disseminated across SSA in English, French, and Portuguese, inviting applications to improve diagnostic and therapeutic cancer care. Applications underwent a structured, two-stage review, with GBO providing technical support, expert guidance, and training resources. RESULTS The RFP generated 218 applications reflecting strong demand for oncology QI funding in SSA. After review, 17 projects representing 10 African countries were selected and awarded $1.1 million USD. Funded initiatives reflected four themes: oncology training and clinical practice improvements, early detection and accurate diagnostics, pediatric cancer care, and oncology nursing and palliative medicine. As of March 2026, 11 (65%) of 17 projects are complete, with 4,565 health care professionals engaged through direct training, conference dissemination, system adoption, and sensitization activities, and program-supported services were delivered to more than 47,300 patients. CONCLUSION This initiative demonstrates the feasibility of a competitive, regionally guided grant program to strengthen cancer care capacity. Early implementation outcomes, including measurable improvements in diagnostic delay, treatment adherence, and care network expansion, confirm that locally led QI initiatives can generate meaningful results across diverse institutional settings. By centering African leadership and supporting diverse QI projects, it advances equitable access to funding, capacity building, and sustainability planning.

Abstract Cellular senescence has been implicated in the pathophysiology of radiotherapy-associated bone loss. Based on our previous work, clearance of senescent cells using genetic and pharmacological tools alleviates the anomalies associated with radiation-associated bone deterioration. The pro-inflammatory senescence associated secretome referred to as senescence associated secretory phenotype (SASP), is a hallmark of cellular senescence. The modulation of SASP by senomorphic drugs, potentially can suppress the pro-inflammatory secretome of senescent cells, irrespective of the underlying senescence mechanism. In this study we tested a senomorphic drug, ruxolitinib, a Janus kinase inhibitor (JAKi), during acute and chronic radiotherapy related effects on the bone. Our clinical data indicate an early increase in several pro-inflammatory SASP proteins following radiotherapy of spinal metastasis in prostate cancer patients. Longitudinal assessment of SASP-related genes confirmed this acute elevation in several SASP markers in systemic circulation following irradiation of male mouse femurs. In studies done in male mice, following three preclinical radiotherapy regimens of 30Gy (5 x 6Gy), 60Gy (5 x 12Gy) and a single dose of 24Gy, suppression of SASP by JAKi was efficacious in suppressing radiation-induced bone damage. In comparison and as shown before, the senolytic combination of D+Q was also able to alleviate radiation-associated bone loss. Early and intermittent suppression of SASP using JAK inhibitors in male mice alleviated chronic bone deterioration, diminished telomere dysfunction, lowered senescence and SASP marker expression and reduced bone-marrow adiposity. Overall, our study shows that early targeting of SASP proteins could be a potential therapeutic to prevent radiotherapy-related chronic bone loss and risk of fractures.

Abstract Osteosarcoma (OS) is one of the top ranking and deadliest primary malignant bone tumor of youngsters and adolescents. OS has poor prognostic features due to its immunosuppressive “ cold ” tumor microenvironment, obstructing the anti-tumor effector functions of immune cells (including cytotoxic CD8⁺ T lymphocytes)․ Recent developments have focused on the role of Gut Microbiota in modulating effector immune responses in various cancers. However, the immunomodulatory role of gut microbiota and its derived gut-associated metabolites (GAMs) in OS still remains unclear. Here we report that peripheral CD8⁺ T lymphocytes in osteosarcoma patients are less frequent in circulation, hypo-producers of effector cytokines (IFN-γ and TNF-α), and have compromised metabolic fitness․ We characterized and investigated the effect of a panel of microbiota-derived GAMs on CD8⁺ T lymphocytes, confirming their immunomodulatory role with respect to CD8⁺ T lymphocytes activation, cellular metabolism and effector functions․ Indole-3-lactic acid (ILA; product of tryptophan metabolism), was observed to be the strongest immunostimulant among all the GAMs studied. ILA enhanced the anti-tumor effector functions of CD8⁺ T lymphocytes through increased glucose uptake, a higher mitochondrial bio-mass and increased production of IFN-γ and TNF-α․ Moreover, ILA-primed cytotoxic T lymphocytes exhibited considerably higher cytotoxicity and increased apoptosis of osteosarcoma cells (U2OS)․ Altogether, our data demonstrates that ILA acts as a microbial-derived immune modulator to metabolically reprogram and restore dysfunctional CD8⁺ T lymphocytes against osteosarcoma․ This study for the first time demonstrates the therapeutic potential of exploiting the nexus between “ Gut-Immune-Bone Tumor” ternary as a safe and cost-effective combinatorial immunotherapy against osteosarcoma․ Graphical Abstract Indole-3-Lactic Acid (ILA) Reinvigorates CD8 + T-Cell Immunity in Osteosarcoma Circulating CD8 + T cells from osteosarcoma patients exhibit impaired metabolic fitness, reduced effector cytokine production, and diminished tumoricidal activity. Screening of gut-associated metabolites identified the microbial tryptophan metabolite indole-3-lactic acid (ILA) as the most potent immunomodulator. ILA restores glucose uptake and mitochondrial biomass, enhances IFN-γ and TNF-α production, promotes polyfunctional CD8 + T-cell responses, and significantly improves CTL-mediated killing of osteosarcoma cells, highlighting its potential as a microbiota-derived immunometabolic therapeutic for osteosarcoma.

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.

Abstract Introduction Distinct temperature patterns have long been recognized to correlate with fevers of differing etiologies. While the use of wearable sensors for high-frequency temperature monitoring (HFTM) on a near minute-by-minute basis has been shown to detect fevers earlier than standard-of-care nursing vital sign assessments in hospitalized patients, leveraging these high-resolution datasets to computationally identify unique digital signatures for real-time diagnosis of underlying fever etiology has not been widely explored. Diagnostic uncertainty is common in patients undergoing hematopoietic stem cell transplantation (HCT), with only 20–30% of febrile neutropenic episodes being microbiologically documented. We hypothesized that unique temperature patterns extracted from HFTM data collected during episodes of febrile neutropenia could be used to develop a supervised machine learning classifier capable of accurately predicting underlying fever etiology in HCT patients. Methods We analyzed 68 clinically independent fever episodes recorded in HCT patients (n=90) outfitted with an FDA-cleared wireless temperature sensor (TempTraq®, BlueSpark Technologies) that measured axillary temperature every 2 minutes throughout hospitalization. Time-series features were extracted from temperature traces spanning 1 hour before to 3 hours after fever onset and used to train a suite of machine-learning models to distinguish engraftment fevers from other fever etiologies. Model training and evaluation were performed using repeated stratified 5-fold patient-level cross-validation, yielding 100 train-test evaluations. Results Among all classification models, the logistic regression classifier provided the best overall performance and interpretability, achieving 94% specificity (95% CI, 0.84–1.0) for identifying engraftment fevers with a mean AUROC of 0.88 ± 0.10. Feature importance analysis demonstrated that both clinical variables and HFTM-derived temperature dynamics contributed to model performance, with a strong reliance on time-series features captured within the first 4 hours of fever onset. Conclusion Our study provides a demonstration that continuous temperature data collected from patients outfitted with wearable sensors can be leveraged not only for early fever detection but also for machine learning–based diagnosis of fever etiology. These findings suggest that dynamic temperature patterns contain clinically meaningful physiologic information that with further studies could support real-time diagnostic decision-making and guide safe de-escalation of empiric antibiotics during febrile neutropenia in patients undergoing intensive cancer therapy.

Background: Noninvasive tests are well validated in metabolic dysfunction–associated steatotic liver disease, but evidence in metabolic dysfunction and alcohol-associated liver disease (MetALD) and alcohol-associated liver disease (ALD) is limited. We evaluated noninvasive test–based clinical care pathways for fibrosis risk stratification in MetALD and ALD. Methods: This is a multinational, multicenter, cross-sectional study across 35 centers in 16 countries (2013–2025), including adults with MetALD or ALD. Fibrosis was assessed by liver biopsy and/or vibration-controlled transient elastography (VCTE). In biopsy-proven participants, we analyzed the sequential pathway (Fibrosis-4 [FIB-4] first, followed by VCTE for indeterminate FIB-4) to identify advanced fibrosis (≥F3). Diagnostic accuracy was assessed using the AUC. Results: Among 893 participants (41.3% MetALD and 58.7% ALD), the median age was 52 [43.0–61.0] years, and 79.4% were male. The estimated prevalence of advanced fibrosis was 45% (32.2% in MetALD and 54.0% in ALD). Participants with MetALD had a more dysmetabolic profile but lower fibrosis stages than ALD. Among biopsy-proven participants, FIB-4 AUC was 0.720, and VCTE AUC was 0.833. FIB-4 performed better in MetALD than ALD (AUC 0.773 vs. 0.540), while VCTE accuracy was similar across groups. In the sequential pathways, the false-negative rate for advanced fibrosis (misclassified as low risk) was 6.8% (4.9% MetALD and 11.3% ALD). Conclusions: In biopsy-proven patients, FIB-4 performance was acceptable in MetALD but substantially weaker in ALD. The standard 2-step pathway performed adequately in MetALD but missed a clinically meaningful proportion of advanced fibrosis in ALD.

ABSTRACT Introduction Multiple myeloma is a malignant plasma cell disorder predominantly affecting older adults and poses a significant health burden due to its incurable nature, high relapse rate, and associated immune dysfunction. Daratumumab, when added to standard therapy, has shown promising results in large trials. This meta‐analysis compared clinical trials of daratumumab‐containing regimens with standard therapies in the treatment of multiple myeloma. The primary outcomes analyzed were overall response rate (ORR) and progression‐free survival (PFS). Methods A systematic search of PubMed, Scopus, Cochrane CENTRAL, and Google Scholar was performed from January 2015 through December 2024. After screening via Rayyan, data were extracted on an Excel spreadsheet. Quality was assessed using the Cochrane RoB 2.0 tool. Eligible randomized controlled trials (RCTs) were included and analyzed using RevMan 5.4. Outcomes assessed were ORR and PFS. Adverse effects were compared among therapies. Results Nine Phase III RCTs ( n = 4556) were included, with a mean follow‐up of 44.3 months. Daratumumab‐based regimens significantly improved PFS (HR 0.55, 95% CI 0.46–0.66) but did not confer a statistically significant overall survival advantage (RR 0.90, p = 0.25). ORR was inconsistent, with five trials favoring daratumumab and one favoring control. Safety analyses showed higher risks of pneumonia (RR 1.74, p < 0.0001), secondary malignancies (RR 1.46, p = 0.003), neutropenia (RR 1.25, p = 0.006), and thrombocytopenia (RR 1.17, p = 0.01). Lymphopenia showed a numerical increase but was not statistically significant. Conclusion Daratumumab plus standard therapy regimens significantly improve PFS in multiple myeloma, though the overall survival benefit remains unproven. While efficacy is notable, treatment is associated with increased risks of infections, hematological toxicities, and secondary malignancies, highlighting the need for careful patient selection and vigilant monitoring. Trial Registration The authors have confirmed clinical trial registration is not needed for this submission.

Endometriosis is a common, chronic inflammatory condition characterized by the presence of endometrium-like tissue outside of the uterus that can impact fertility through multiple mechanisms. In this review, the diagnosis, classification, staging, and surgical management of endometriosis for fertility enhancement is discussed. Surgery for patients seeking to optimize fertility or for whom infertility is the only symptom is complex. In patients with superficial endometriosis, laparoscopy may enhance fertility for unassisted pregnancy, but current guidelines recommend against routine surgery prior to ART. In patients with deep endometriosis, surgical intervention depends on multiple factors, including patient age, ovarian reserve, fertility goals, and the presence of other infertility factors. While there may be potential improvements in fertility-related outcomes, this must be weighed against potential impacts to ovarian reserve. Surgical techniques that minimize damage to the ovaries, fallopian tubes, and uterus are essential when fertility is the goal. While there is increasing interest in regenerative therapies for treatment of endometriosis (e.g., stem-cell based therapies, platelet-rich plasma, or extracellular vesicles), these remain investigational and are not yet utilized clinically for fertility enhancement in patients with endometriosis.

Background: Cocaine use and cardiovascular disease (CVD)-related mortality trends in the U.S. are underreported. Using the CDC’s Wide-Ranging Online Data for Epidemiologic Research database, we analyzed the relationship between cocaine use and CVD-related deaths. Methods: We analyzed death certificates from the Multiple Cause of Death dataset to identify CVD-related deaths involving cocaine use. Age-adjusted mortality rates (AAMRs) per 1 000 000 and annual percentage changes (APCs) were calculated using Joinpoint Regression. Results: From 1999 to 2022, 82 944 deaths were linked to cocaine use and CVDs. AAMRs rose from 9.6 in 1999 to 32 in 2022. Mortality trends varied by demographics and regions. Males and females showed early increases (1999–2006), declines (2006–2012), and sharp rises (2012–2022), with APCs of 11.8% and 12.8%, respectively. Non-Hispanic Black individuals exhibited consistently higher rates than non-Hispanic Whites, though both groups experienced sharp increases starting in 2014 (APCs: 12.5 and 12.7%). Geographic trends revealed early 2000s increases, mid-2000s declines, and rapid rises beginning in the 2010s. The Northeast and South had notable APCs of 13.5 and 12.6% (2013–2022). Rural areas initially showed steeper increases than urban areas but displayed steady upward trends since 2011 (APC: 9.5%). Age-wise, older adults experienced a particularly sharp rise from 2012 to 2022 (APC: 15.0%). Conclusion: Cocaine use and CVD-related mortality rose significantly from 1999 to 2022, with pronounced increases among men, non-Hispanic Black individuals, older adults, urban residents, and those in the South. These findings highlight a growing public health crisis.

Purpose of review Hepatorenal syndrome (HRS) is the extreme manifestation of acute renal dysfunction in patients with cirrhosis, resulting from systemic vasodilation and renal vasoconstriction, leading to a reduction in the glomerular filtration rate. Recent findings The diagnostic criteria redefined diagnostic criteria for HRS-AKI (Hepatorenal syndrome -Acute kidney injury) as our understanding of disease progression has improved. This understanding of the HRS disease process guides current management, with the combination of intravascular volume expansion and vasoconstrictor therapy being the cornerstone of treatment. In addition to treatment selection, timing of treatment initiation, duration, dosage, and monitoring during treatment are decisive factors in HRS outcomes. Pathogenesis of HRS-AKI may be different in patients with acute-on-chronic liver failure (ACLF) in comparison to decompensated cirrhosis. Unfortunately, outcomes remain poor with medical therapies alone and a high risk of disease recurrence exists for HRS-AKI with persistence of the cirrhotic milieu. Liver transplantation remains the only definitive treatment of HRS-AKI. Given the critical nature of HRS-AKI, a multidisciplinary approach involving hepatologists, nephrologists, and intensive care physicians is essential for optimal clinical management. Summary Patients with HRS-AKI should be managed ideally in tertiary care centers and referred for liver transplantation promptly when eligible.