Citations

Objective: To examine prospective associations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test positivity, coronavirus disease 2019 (COVID-2019) symptom severity, and COVID-2019 hospitalization with incident clinical diabetes among aging women. Methods: A cohort study was conducted using data from 34,405 eligible Women’s Health Initiative participants who completed ≥1 COVID-2019 surveys (Survey 1: June–December 2020; Survey 2: June 2021–February 2022) and were followed up for an average of 1.86 (±0.49) years, yielding 399 incident diabetes cases. Results: SARS-CoV-2 test positivity was associated with diabetes risk in the age-adjusted Cox regression model (hazard ratio [HR] = 1.76, 95% confidence interval [CI]: 1.10, 2.82), but not when fully adjusted (HR = 1.43, 95% CI: 0.88, 2.31). Diabetes risk was higher among those with 1–2 COVID-19 symptoms (HR = 1.39, 95% CI: 1.09, 1.77) and those with 3± COVID-2019 symptoms (HR = 1.53, 95% CI: 1.06, 2.22) compared with those without COVID-2019 symptoms in fully-adjusted models, irrespective of self-reported SARS-CoV-2 testing. COVID-2019 hospitalization was associated with 2–3 times the risk of clinical diabetes in age-adjusted (HR = 2.95, 95% CI: 1.52, 5.72) and fully-adjusted (HR = 1.90, 95% CI: 0.97, 3.72) models. Conclusions: Age-adjusted self-reported SARS-CoV-2 test positivity was associated with a higher incidence of diabetes. Reporting of COVID-2019 symptoms and being hospitalized for COVID-2019 were each associated with higher incidence of diabetes in aging women, after controlling for demographic, socioeconomic, lifestyle, and health characteristics.

Abstract Chimeric antigen receptor (CAR) T-cell (CAR-T) treatment for B-cell acute lymphoblastic leukemia (ALL) induces high initial response rates, but most patients relapse. Low disease burden (often defined as <5% blasts in the bone marrow) is associated with better outcomes. CAR HEMATOTOX (HT) is a score using prelymphodepletion hematologic and inflammatory parameters to predict outcomes in lymphoma. Here, we assess its prognostic utility in a large multicenter adult B-cell ALL cohort. Patients who received brexucabtagene autoleucel across 33 centers in North America were included as part of the Real-World Outcomes Collaborative of CAR-T in Adult ALL (ROCCA) consortium. An independent cohort of 61 patients with ALL treated with an investigational CD19 CAR-T therapy at 1 center was also described. Among 199 ROCCA consortium patients, 43 (22%) patients with HTlow scores had lower rates of delayed neutrophil recovery than those with HThigh scores (26% vs 52%, P = .002) and fewer severe infections (2.5% vs 18.8%, P = .011). They also had higher response rates, overall survival (OS), and event-free survival (EFS), as well as lower nonrelapse mortality and cumulative incidence of relapse. The survival differences remained significant after multivariable adjustment for disease burden and other covariates. In the investigational cohort of 61 patients, patients with HTlow scores had improved OS and EFS, as well as higher peak CAR-T expansion. In summary, CAR HT score is a prognostic factor independent of disease burden in adult ALL. HTlow score is associated with superior outcomes after CD19 CAR-Ts and higher CAR-T expansion in a single-center cohort. These trials were registered at www.clinicaltrials.gov as #NCT01044069 and #NCT01860937.

Abstract BACKGROUND IDH-mutant gliomas are diffusely infiltrating, slow-growing brain tumors that inevitably undergo malignant progression to grade IV astrocytoma - a highly aggressive and uniformly fatal disease with dismal prognosis. Despite extensive research, the molecular mechanisms underlying this transformation remain poorly understood. While alterations in canonical driver genes such as CDKN2A, PTEN, and PDGFRA have been implicated, the broader landscape of genetic drivers involved in IDH-mutant glioma progression is largely uncharacterized. In contrast to many other malignancies, IDH-mutant gliomas acquire relatively few somatic point mutations during progression - typically in the range of 30 to 40 - suggesting that alternative mechanisms may be driving tumor evolution. Notably, these tumors exhibit widespread chromosomal instability, resulting in a heterogeneous and highly prevalent pattern of copy number alterations (CNAs). This observation raises the possibility that gene dosage changes due to CNAs play a critical role in tumor progression. MATERIAL AND METHODS To investigate this hypothesis, we performed integrative analysis of IDH-mutant glioma cohorts from the Mayo Clinic and TCGA datasets (~1,500 patients), identifying twelve highly recurrent CNAs significantly associated with patient outcomes. We refer to these as malignant IDH-associated CNAs (mIDH CNAs). We hypothesized that these recurrent CNAs harbor driver genes that confer selective growth advantages, thereby contributing to their recurrence and prognostic relevance. To systematically assess the functional impact of genes within these regions, we developed a novel in vivo CRISPR-based screening platform, termed CRISPR-Knock Out and Activation Linked Assay (CRISPR-KOALA). This approach utilizes stereotaxic delivery of lentiviral gRNA libraries - targeting mouse orthologs of ~1,800 genes within recurrently deleted regions and ~1,200 genes within amplified regions - into the brains of a genetically engineered mouse model of IDH-mutant glioma (rs557mut;IDHmut;P53KO;AtrxKO;Cas9GFP: Yanchus et. al Science 2022). RESULTS Mice injected with mIDH CNA-targeting libraries developed tumors significantly more rapidly than control cohorts. Deconvolution of the CRISPR-KOALA screen identified several putative driver genes, including regulators of the NOTCH signaling pathway, lipid metabolism modulators such as THEM6, and the NMDA receptor modulator GRINA - implicating dysregulation of metabolism, immune response, and glutamatergic signaling in the malignant transformation of IDH-mutant gliomas. CONCLUSION Together, these findings provide critical insights into the genetic mechanisms driving the progression of IDH-mutant gliomas and identify new candidate genes and pathways for potential therapeutic targeting.

Abstract Diffuse large B-cell lymphoma (DLBCL) poses a challenge in hematology given its varied symptoms, and the complex interplay between disease and treatment effects on health-related quality of life (HRQoL). The phase 3 POLARIX study demonstrated superior progression-free survival and a similar safety profile with polatuzumab vedotin plus rituximab, cyclophosphamide, doxorubicin, and prednisone (Pola-R-CHP) vs R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) in patients with previously untreated DLBCL. Here, we evaluate HRQoL through patient-reported outcome (PRO) instruments to fully characterize the patient experience in the POLARIX study. Changes from baseline in HRQoL, lymphoma symptoms, and gastrointestinal (GI) symptoms were assessed, as well as incidence and severity of common symptoms by PROs vs clinician-reported adverse events (AEs). Baseline characteristics of PRO-evaluable patients (N = 874) were consistent. Comparison between PROs and clinician-reported AEs revealed a notable discordance; patients generally reported a higher incidence of symptoms than clinicians, emphasizing the need for patient-centric tools to accurately capture the patient experience. Both treatments exhibited rapid and sustained improvements in HRQoL and lymphoma symptoms, with the most substantial improvements seen in global health status/QoL, lymphoma symptoms, fatigue, role, emotional, and social functioning. GI symptoms (diarrhea, constipation, nausea, and vomiting) were generally similar between treatment arms and returned to baseline levels after treatment completion. These HRQoL data underscore the complementarity of PROs, as an adjunct to clinician-reported AEs, in evaluating the efficacy and tolerability of new treatments, including Pola-R-CHP, which may represent a new benchmark for patient-reported HRQoL in previously untreated DLBCL. This trial was registered at www.clinicaltrials.gov as NCT03274492.

Abstract Background Lung adenocarcinoma in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve lung adenocarcinoma risk prediction. Methods PRSs were developed using genome-wide association study summary statistics from East Asian (8002 cases; 20 782 controls) and European (2058 cases; 5575 controls) populations. Single-ancestry models included a PRS with 25 single nucleotide variants (PRS-25), PRS clumping and thresholding (CT), and LDpred2; multi-ancestry models included LDpred2 plus European PRS-128, PRS-CSx, and clumping and thresholding, super learning, empirical Bayes (CT-SLEB). Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium and externally validated in the Nanjing Lung Cancer Cohort. We assessed predictive accuracy via area under the curve operating procedure (AUC), with 10-year and (ages 30-80 years) absolute risks estimates. Results The best multi-ancestry PRS, using East Asian and European data via CT-SLEB, outperformed the best East Asian-only (LDpred2; AUC = 0.629, 95% confidence interval [CI] = 0.618 to 0.641), achieving an AUC of 0.640 (95% CI = 0.629 to 0.653) and odds ratio of 1.71 (95% CI = 1.61 to 1.82) per standard deviation increase. Nanjing Lung Cancer Cohort validation confirmed robust performance (AUC = 0.649, 95% CI = 0.623 to 0.676). The top 20% PRS group had a 3.92-fold higher lung adenocarcinoma risk than the bottom 20%. Further, the top 5% PRS group reached a 6.69% lifetime absolute risk. Notably, this group reached the average population 10-year lung adenocarcinoma risk at age 50 years (0.42%) by age 41 years, 9 years earlier. Conclusions Multi-ancestry PRS approaches enhance lung adenocarcinoma risk stratification in East Asian never-smokers, with consistent external validation, suggesting future clinical utility.

Background: Longitudinal genomic profiling through serial circulating tumor DNA (ctDNA) testing offers a noninvasive method to monitor clonal evolution in advanced prostate cancer. This study evaluated the frequency and nature of newly emergent and potentially actionable genomic alterations detected through serial testing in a real-world setting. Methods: We conducted a retrospective analysis of advanced prostate cancer patients who underwent multiple Guardant360 ctDNA tests between October 2020 and March 2023. The study focused on identifying new genomic alterations absent in the initial test, with particular attention to alterations relevant for on-label therapies, therapies approved in other oncologic indications (i.e., off-label), or a clinical trial. Results: Among 479 patients with at least two ctDNA tests, the median interval between the first and second evaluable tests was 207 days. New and potentially actionable alterations emerged in 57.8% of patients, including potential targets for on-label therapies (16.7%), off-label therapies (16.5%), and clinical trials (55.7%). Tumor mutational burden (TMB) increased from “low” to “high” in 11% of patients, although none had microsatellite instability or mismatch repair deficiency. In a Mayo Clinic subset, ten patients received olaparib based on treatment-emergent alterations, but none achieved a prostate-specific antigen (PSA) response. Two patients who transitioned from low to high TMB received pembrolizumab, both with progressive disease as best response. Conclusions: In a large real-world cohort, serial ctDNA testing frequently identified new alterations that were not detected at baseline and are potentially actionable therapeutic targets, highlighting the value of serial genomic profiling for capturing clonal dynamics. Additional research is needed to better establish a framework for retesting and to clarify how these results should influence subsequent treatment decisions.

Importance Cardiovascular (CV) disease is the leading cause of death globally for both men and women, yet women remain historically underrepresented in CV clinical trials, despite facing a disproportionately high burden of morbidity and mortality in many forms of CV disease. Objective To determine the representation of women across a broad range of CV trials. Evidence Review The participation of women in CV trials registered on ClinicalTrials.gov from 2017 to 2023 was systematically determined through the extraction of publicly available information. Data were extracted to identify the country of study, disease type, trial size, clinical intervention, and age of the participants. The proportion of women and the ratio of number of female to male participants (F:M ratio) were calculated for each trial. The women’s participation:prevalence ratio (PPR) was estimated for each trial based on the relative prevalence of the disease by sex in the specified region. Findings A total of 1079 registered CV trials were identified, including 1 396 104 participants, of whom 571 641 (41.0%) were women. The F:M ratio was significantly lower for studies on arrhythmia (median [IQR], 0.5), coronary heart disease (median [IQR], 0.39 [0.33-0.70]), acute coronary syndrome (median [IQR], 0.32 [0.24-0.51]), and heart failure (median [IQR], 0.51 [0.32-0.87]) but higher for obesity (median [IQR], 1.44 [1.08-4.50]) and pulmonary hypertension (median [IQR], 2.86 [1.50-3.97]) trials. The F:M ratio was higher for trials on lifestyle interventions (median [IQR], 1.51 [0.77-3.24]) than for drug trials. PPRs were low for clinical trials on coronary heart disease (median [IQR], 0.66 [0.50-0.86]), acute coronary syndrome (median [IQR], 0.79 [0.51-0.87]), and stroke (median [IQR], 0.74 [0.61-0.95]). Representation of women in CV trials varied by disease state, region, intervention, and sponsor type. Conclusions and Relevance These findings highlight both progress and persistent challenges in representation of women within CV trials. These gaps not only limit the generalizability of trial outcomes but also perpetuate inequities in evidence-based care for women with CV conditions.

INTRODUCTION: The study aimed to develop consensus recommendations for the safe and appropriate use of liquid nitrogen spray cryotherapy in Barrett's esophagus and esophageal cancer. METHODS: Statements were initially formulated and grouped into categories of indications, training, preprocedure, intraprocedure, and postprocedure recommendations, frequency/timing of repeat procedures, and contraindications. Two investigators assessed the strength of the evidence for each statement using Grading of Recommendations Assessment, Development, and Evaluation methodology. Nineteen experts were invited to participate in a modified Delphi process. For statements that received >80% agreement, minor iterative edits were performed until there was unanimous consensus. If a threshold of 80% agreement was not reached, the statement was modified based on feedback and included in the next Delphi round. Statements were rejected if no consensus was reached after 3 rounds. RESULTS: After 3 Delphi rounds, 41 of 42 statements were accepted either in their original version (n = 11) or after modification based on expert input (n = 30). DISCUSSION: Through a modified Delphi process, we developed expert and evidence-based consensus recommendations to guide safe and appropriate use of liquid nitrogen spray cryotherapy in Barrett's esophagus and esophageal cancer.

Abstract INTRODUCTION African American (AA) individuals are underrepresented in biomarker studies for Alzheimer's disease (AD). Biomarkers that reflect the heterogeneity of AD and achieve the greatest accuracy across populations are sorely needed. METHODS Untargeted proteome measurements were obtained using the SomaScan 7k platform to identify novel plasma biomarkers for AD in AA participants with clinical diagnoses of AD dementia ( n = 181) and cognitively unimpaired (CU, n = 142). Machine learning was used to identify a set of plasma proteins that yielded the best classification accuracy. RESULTS A set of 36 proteins achieved an area under the curve (AUC) of 0.94 to classify AD dementia versus CU, a 16% improvement over age, sex, and apolipoprotein E ( APOE) . This finding was replicated in multiple plasma and brain datasets (AUCs 0.73–0.97). Our findings underscore the importance of matrisome and cerebrovascular dysfunction in AD pathophysiology. DISCUSSION This study demonstrates the potential of biomarker discovery through untargeted plasma proteomics and machine learning. Highlights Conducted large‐scale plasma proteomics in Alzheimer's disease (AD) versus cognitively unimpaired controls. Machine learning biomarker discovery was replicated in an independent cohort. Novel set of proteins distinguishes AD versus controls with high accuracy (area under the curve [AUC] = 0.94). Achieved reproducibility across multiple replication cohorts (AUC = 0.73–0.97). Network analyses implicates matrisome biology and cerebrovascular dysfunction.

Abstract Objective To assess the localization and lateralization values of ictal emotional features and ictal defensive behaviors in pediatric and young adult patients with frontal lobe epilepsy (FLE). Methods Children and young adults with FLE were identified from a single institution's epilepsy surgery database. Two epileptologists determined by consensus the presence of ictal emotional features (positive‐ smile, laughter, humming, singing; negative‐ fear, crying, anger, disgust, contempt, sadness) and ictal defensive behaviors (freezing with a fearful facial expression, shielding the face with hands, burying the face in a pillow, or exhibiting hyperkinetic motor behaviors like attempting to escape from bed or resisting restraint) in each patient's first video EEG (vEEG). Historic seizure semiology and vEEG reports were compared with the consensus vEEG analysis. Longitudinal changes in ictal emotional features were defined by the emergence or resolution of ictal emotional features between historic seizure semiology and re‐review of presurgical vEEG analysis. Subgroup analyses were conducted according to the seizure lateralization (left vs. right) and sublobar localization (precentral, medial, lateral, extensive) based on surgical extent. Results Twenty‐three FLE patients were included (female 39%; mean age at vEEG analysis: 11.28 years, range 1.75–20.17). The inter‐rater reliability was very good for both ictal emotional features ( κ = 0.81, 95% CI: 0.59–1) and ictal defensive behaviors ( κ = 0.91, 95% CI: 0.79–1). Ictal emotional features were observed in 10 patients (43.4%), with negative emotions present in 70% (7/10) of these cases. vEEG reports lacked documentation of ictal emotional features in two patients. Although ictal emotional features showed no statistical correlation by sublobar regions, ictal defensive behaviors were consistently seen in medial compared to lateral FLE (100% vs. 16.6%; p = 0.004). Longitudinal changes in ictal emotional features were observed in 8 (34.7%) patients. Significance Ictal emotional features were common in pediatric and young adult FLE patients and were mainly negative. Ictal defensive behaviors were more likely associated with medial FLE. Longitudinal changes in ictal emotional features occurred in about a third of pediatric and young adult patients with FLE. Plain Language Summary This study examined emotional features and defensive behaviors during seizures in children and young adults with FLE. Negative emotions were commonly seen during seizures. Ictal defensive behaviors were more frequently observed in patients with medial FLE, and recognizing these signs could help clinicians localize the seizures. Changes in emotional features were seen over time in about one‐third of children and young adult patients.