Citations

ABSTRACT Candida auris is an emerging pathogen known for causing invasive, multidrug-resistant infections and healthcare-associated outbreaks. Measuring the relatedness of C. auris strains is critical for detecting and preventing healthcare-associated transmission. Whole genome sequencing (WGS) and analysis of single-nucleotide polymorphisms (SNPs) offer high-resolution assessments of genetic relatedness and antifungal susceptibility; however, interpretation requires an understanding of inter- and intra-patient C. auris diversity and genotypic markers of resistance, respectively. This study aimed to define SNP thresholds for assessing C. auris relatedness in healthcare-associated outbreak investigations, predict antifungal resistance via genotypic markers, and evaluate patient risk factors to inform future surveillance strategies. WGS was performed on 68 C. auris isolates (clades I and III) obtained from 31 hospitalized patients across a healthcare system between 2021 and 2024. Using MycoSNP analysis, we observed a maximum intra-patient variation of 14 SNPs. Five probable transmission clusters were identified based on epidemiologic links, with patient isolates differing by a median of 5 SNPs (range: 0−12). Analysis with a commercial pipeline (refMLST, BugSeq) showed similar clustering patterns. All new detections occurring more than 1 month after admission were linked to a cluster, representing a highly specific indicator of healthcare-associated infection. WGS detected known genotypic markers for fluconazole (ERG11 Y132F, F126L, and MRR1 N647T) and micafungin (FKS1 F635C) resistance, with the latter emerging during antimicrobial therapy. In addition, putative FUR1 mutations (G207R and Q16::STOP) associated with flucytosine resistance were identified. These findings emphasize the utility of WGS for identifying healthcare-associated clusters of C. auris and predicting antifungal resistance. IMPORTANCE Candida auris is a difficult-to-treat yeast that causes invasive infections in vulnerable patient populations. Healthcare exposure is a key risk factor for becoming colonized or infected with C. auris , and infection prevention groups focus on curbing the spread of this organism within the healthcare environment. Whole genome sequencing approaches are key for supporting these efforts, as they can help define clusters of C. auris transmission and can also provide insight into antifungal resistance. Our work provides practical guidance for interpreting genomic data in this setting, helping infection prevention teams respond more effectively to outbreaks and expanding the use of genotypic predictions for antifungal resistance.

Objective To estimate the prevalence, incidence, and disease burden of autoimmune seizures and epilepsies in Olmsted County. Methods We conducted a retrospective, population‐based study using the Rochester Epidemiology Project (1996–2019). Age‐ and sex‐standardized rates (2019 United States standard population) per 100,000 were calculated with 95% confidence intervals (95% CIs). Temporal trends in incidence were assessed over 3 consecutive 8‐year intervals (1996–2003, 2004–2011, and 2012–2019) using Poisson regression to estimate rate ratios per period and trend. Disability‐adjusted life years (DALYs), years of life lost (YLL), and years lived with disability (YLD) and 95% uncertainty intervals (95% UIs) were estimated for 2019. Results Twenty‐three patients were identified between 1996 and 2019. In 2019, the standardized prevalence of all autoimmune seizures and epilepsies was 9.81 (95% CI, 5.59–15.21) per 100,000, including autoimmune‐associated epilepsy (AAE) 7.27 (3.74–11.95) and acute symptomatic seizures secondary to autoimmune encephalitis (ASSAE) 2.55 (0.69–5.60). From 1996 to 2019, the standardized incidence was 0.50 (0.29–0.77) per 100,000 person‐years overall, with AAE 0.36 (0.19–0.59) and ASSAE 0.15 (0.05–0.30). By period, the standardized incidence of all autoimmune seizures and epilepsies suggested a rising trend from 0.28 (95% CI, 0.06–0.68) in 1996 to 2003 to 0.60 (95% CI, 0.24–1.12) in 2004–2011, then plateaued at 0.53 (95% CI, 0.21–1.00) in 2012 to 2019 (rate ratio per 8‐year interval 1.30, 95% CI, 0.71–2.38), largely driven by the seropositive subgroup. The standardized DALY rate was 26.27 (95% Uncertainly intervals [UI], 5.30–67.09) per 100,000 (YLL 20.07 [0.00–60.21] and YLD 6.20 [5.06–7.39]). Interpretation Although autoimmune seizures and epilepsies remain rare, they result in a disproportionately high disease burden. ANN NEUROL 2026;100:74–83

Abstract Cancer remains one of the most complex and devastating diseases, in part because tumors are not static entities but dynamic ecosystems that evolve in real time. Over the decades, researchers have proposed two major frameworks toexplain tumor development: 1) the clonal evolution model, which emphasizes the stepwise accumulation of mutations insingle cells, and 2) the cancer stem cell model, which posits a hierarchical tumor structure driven by a small population of stem-like cells capable of self-renewal and tumor initiation. In brain tumors, as in other cancer types, the presence of cancer stem cells has been demonstrated; however, their evolutionary role in glioblastoma, the most aggressive primary brain tumor, remains poorly understood. A key unanswered question is how cancer stem cells in the brain evolve intomalignant populations and how evolutionary processes shape this transition. Since Darwin, evolutionary biologists have sought to understand how traits evolve across lineages and have developed several tools to address questions regarding how lineages, species and populations have evolved through time. In recent years there has been an increase in the use of evolutionary statistical methods to study cancer evolution. These approaches remain niche in a few tumor types (e.g., blood and lung cancer), but the rapid growth of sequencing technologies and large-scale datasets has created new opportunities to address evolutionary questions across cancer types that have been understudied (e.g., brain tumor). Researchers are now using whole-genome, exome, single-cell, spatial, and multi-omic data to reconstruct tumor histories, test adaptive hypotheses, and in few cases, quantify rates and modes of evolution within tumors and between tumor types. However, there is not yet a consolidated framework for which evolutionary analyses are most appropriate to test cancer evolution, nor accessible guidance on how to implement these approaches in oncological datasets. We synthesize evolutionary statistical methods currently used in brain cancer research and propose additional approaches for future studies. We identify more than 30 evolutionary tools developed to study trait evolution, diversification, and lineage dynamics in biological systems, of which only one has been applied to brain cancer. We argue that adapting these methods offers a powerful opportunity to investigate cancer stem cell dynamics and tumor progression in glioblastoma and other understudied cancers. By bridging evolutionary biology and cancer genomics, this work provides a roadmap for expanding the evolutionary toolkit used to study tumor evolution and for generating testable hypotheses about malignant transformation. Citation Format: Jhan C. Salazar Salazar, Sean W. McHugh, Maria F. Gonzalez-Aponte, Hugo Guerrero-Cazares. From healthy brain to cancer cells: Understanding the origins of glioblastoma through the lens of Darwinian evolution [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Brain Cancer; 2026 Mar 23-25; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2026;86(6_Suppl):Abstract nr B017.

PURPOSE To compare mortality risk among long-term survivors of high-grade serous ovarian cancer (HGSOC) with that of the general US population and to examine how mortality and recurrence trends have evolved under changing treatment approaches. MATERIALS AND METHODS This is a retrospective cohort study including patients with histologically confirmed HGSOC treated at a single referral cancer center from 1991 to 2022. Mortality risk, expressed as standardized mortality ratios (SMRs, ratio of observed deaths in the study population to expected deaths in an age-matched US population), was assessed at diagnosis and yearly on patients without events (disease persistence, recurrence, or death from any cause). RESULTS A total of 2,074 consecutive patients were included. The median follow-up was 12.5 years (IQR, 11.7-13.8). Most patients were stage III (1,396, 69.2%), 1,299 (62.8%) underwent primary cytoreductive surgery, and 1,688 (87.4%) received platinum-taxane as first-line therapy. At diagnosis, the mortality rate was 7.40 times higher than that in the general population (95% CI, 7.04 to 7.77). By 7 event-free years, the 95% CI for the SMR included 1 for the first time, and at 10 years, the SMR was 1.05 (95% CI, 0.72 to 1.49), indicating no statistically significant excess mortality compared with the general population. In those event-free at 10 years, the 5-year cumulative incidence of ovarian cancer–related deaths (8.2% [95% CI, 4.2 to 16.0]) was comparable with that of non–ovarian cancer–related deaths (6.3% [95% CI, 2.9 to 13.8]). CONCLUSION In this cohort, mortality risk steadily declined for patients who remained event-free, approaching that of the general population by 7 years after diagnosis. These results emphasize the importance of individualized, long-term follow-up to address both recurrence risk and survivorship needs.

Background: Long COVID, the chronic sequela of SARS-CoV-2 infection, has affected millions of people worldwide. However, its pathogenesis and treatment remain unknown. To address this critical gap, the National Institutes of Health (NIH) developed the Researching COVID to Enhance Recovery (RECOVER) Initiative that included the Viral Persistence and Reactivation, and Immune Dysregulation (RECOVER-VITAL) study as one of the first of five NIH-sponsored, integrated platform protocols to support the rigorous and rapid investigation of potential interventions for Long COVID. Methods: Experts across academia, the NIH, and the community of patients and caregivers were brought together to design the RECOVER-VITAL protocol. We present the challenges and rationale underpinning critical components of this protocol and provide evidence for use of the platform for efficient execution of current and future Long COVID clinical trials. Facets of the RECOVER-VITAL protocol, including inclusion criteria, intervention groups, study procedures, investigation of biomarkers, and endpoints, were carefully crafted to advance the current and future science and operations of Long COVID clinical trials, particularly in the absence of existing data. The initial trial within the RECOVER-VITAL platform evaluated two durations of an antiviral drug, nirmatrelvir/ritonavir, to test the proposed etiology of viral persistence on the Long COVID symptom clusters of autonomic dysfunction, cognitive dysfunction, and exercise intolerance. The primary outcome measures were patient-reported, and secondary outcomes included performance-based measures for each of the symptom clusters of interest. Conclusions: The RECOVER-VITAL platform protocol has substantial implications for the design and conduct of future Long COVID clinical trials.

Objective: This post hoc analysis of the CHAMPION-NMOSD trial evaluated the safety and efficacy of ravulizumab in patients with aquaporin-4 antibody-positive (AQP4-Ab+) neuromyelitis optica spectrum disorder (NMOSD) previously exposed or naïve to rituximab (RTX). Methods: Patients received weight-based intravenous ravulizumab with a loading dose followed by maintenance dosing every 8 weeks. Patients were stratified by prior RTX exposure: no RTX exposure (RTX-naïve) vs RTX exposure > 3 months before initiating ravulizumab (RTX-exposed). Key outcomes included treatment-emergent adverse events (TEAEs), serious TEAEs (TESAEs), relapse rates, and vaccination timing from the last RTX dose. Results: Of the 58 patients enrolled, 89.7% were female, with a mean age of 47.4 years, and 21/58 (36.2%) were RTX-exposed. Relapses occurred in 12/21 (57.1%) RTX-exposed patients between their first RTX dose and study entry. The safety profile of ravulizumab was generally similar between RTX-exposed and RTX-naïve groups. Common TEAEs included COVID-19, headache, urinary tract infection, and upper respiratory tract infection. UTIs were more frequent in RTX-exposed individuals. One patient in each group experienced a meningococcal infection. No adjudicated on-trial relapses were reported while on ravulizumab. Conclusions: Following initiation of ravulizumab, RTX-exposed and RTX-naïve patients with AQP4-Ab+ NMOSD achieved sustained disease control and demonstrated a manageable safety profile. Clinical Trial Information: The CHAMPION-NMOSD Trial; ClinicalTrials.gov identifier: NCT04201262 (registered October 06, 2020).

ABSTRACT Patients with neuromyelitis optica spectrum disorder (NMOSD) may experience increased signs and symptoms of their underlying disease when vaccinated against meningococcal disease before receiving complement component 5 inhibitor therapies. This retrospective analysis indicated an overall low relapse incidence (mean [range], 3.3% [0.7%–10.6%]) of physician‐reported relapses occurring within 4 weeks of meningococcal vaccination in those screened in CHAMPION‐NMOSD (NCT04201262), randomized to eculizumab or placebo in PREVENT (NCT01892345), and from the Japanese postmarketing surveillance of eculizumab in patients with anti‐aquaporin‐4 antibody‐positive NMOSD. Further studies are needed to determine if postvaccination relapses are attributable to vaccination or inherent relapse risk among these patients.

Abstract Cellular senescence has been implicated in the pathophysiology of radiotherapy-related 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 mouse femurs. In a proof-of-concept study, following two preclinical radiotherapy regimens of cumulative doses of 30Gy (5 x 6Gy) and 60Gy (5 x 12Gy), a senomorphic approach of JAKi treatment was more effective in alleviating radiation-related bone loss compared to the senolytic cocktail of D+Q. Early and intermittent suppression of SASP using JAK inhibitors alleviated chronic bone deterioration, diminished telomere dysfunction, lowered senescence and SASP marker expression, reduced bone-marrow adiposity, and mitigated radiation related lymphatic impairment. 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. Lay Summary Radiotherapy as part of cancer treatment is correlated with an acute increase in senescent cells. Here we show that the pro-inflammatory senescence associated secretory phenotype (SASP) becomes much more prominent soon after radiotherapy in both patients and mice. Suppression of the SASP using a Janus kinase inhibitor, ruxolitinib, reduced the overall senescent cell burden, improved bone architecture by promoting bone formation, reduced bone marrow adiposity, and mitigated radiation-induced lymphatic impairment. Overall, these findings suggest that early inhibition of the SASP may help mitigate several bone anomalies and prevent long-term bone loss and fractures after radiotherapy. Graphical Abstract

TPS913 Background: A subset of patients with MIBC who receive neoadjuvant therapy (NAT) prior to radical cystectomy (RC) have a pathologic complete response (pCR) at the time of RC. With pCR rates of 22-42% in patients with MIBC following NAT (+/- ICI), whether a subset of patients with good clinical response to NAT can avoid RC is an important unanswered question, especially with the development of more active systemic therapies. HCRN 16-257 evaluated maintenance nivolumab in lieu of cystectomy in patients with MIBC who experienced clinical complete response (cCR) following neoadjuvant GC and nivolumab. The cCR rate was 48%, but 8/33 (24%) patients who elected bladder preservation subsequently underwent cystectomy for local disease recurrence. The RETAIN trial also evaluated omission of local therapy following neoadjuvant therapy with a 2-year bladder preservation rate in patients with ≤T1 disease following NAC of 54% (22/41). Of the 9/25 (36%) patients on that trial developed metastatic disease, 8/9 developed localized disease before metastasizing. These data illustrate the critical role that local therapy plays in patients with MIBC. For this reason, we believe that radiotherapy to the bladder combined with ICI will improve bladder intact event-free survival (BI-EFS). This trial also allows for patients to opt for bladder preservation based on a good clinical response to NAT. Methods: This is a single arm, phase 2 trial (NCT07061964) evaluating risk-adapted bladder preservation therapy for patients with MIBC following NAT. NAT consists of any NCCN guideline concordant therapy for MIBC. Patients with cT2-T4aN0M0 MIBC who complete NAT will be eligible if they have ≤T1 disease on post-NAT TURBT, confirmed by biopsies of prior tumor sites and systematic sampling (left/right lateral walls, dome, posterior wall, trigone). Patients will receive 55 Gray (Gy) in 20 fractions of radiotherapy (RT) to the bladder with 1 year of pembrolizumab. The primary objective is to evaluate whether 3-year BI-EFS is at least 70% in participants with < = T1 (without multifocal CIS) following NAT and RT with 1 year of pembrolizumab. Secondary objectives include local muscle invasive recurrence-free survival, metastasis-free survival (MFS), overall survival (OS), the rate of salvage cystectomy, and evaluation of the frequency and severity of toxicities in participants who receive RT and pembrolizumab. Plasma and urine will be banked for future correlative studies. S2427 was activated in September 2025 with an accrual goal of 111 patients. Clinical trial information: NCT07061964 .