Citations

INTRODUCTION: Chronic pancreatitis (CP) is a progressive fibroinflammatory disorder lacking therapies and biomarkers. Neutrophil gelatinase-associated lipocalin (NGAL) is a proinflammatory cytokine elevated during inflammation that binds fatty acids (FAs) such as linoleic acid. We hypothesized that systemic NGAL could serve as a biomarker for CP and, with FAs, provide insights into inflammatory and metabolic alterations. METHODS: NGAL was measured by immunoassay, and FA composition was measured by gas chromatography in plasma (n = 171) from a multicenter study, including controls (n = 50), acute and recurrent acute pancreatitis (AP/RAP) (n = 71), and CP (n = 50). Peripheral blood mononuclear cells (PBMCs) from controls (n = 16), AP/RAP (n = 17), and CP (n = 15) were measured by cytometry by time-of-flight. RESULTS: Plasma NGAL was elevated in subjects with CP compared with controls (area under the curve [AUC] = 0.777) or AP/RAP (AUC = 0.754) in univariate and multivariate analyses with sex, age, body mass index, and smoking (control AUC = 0.874; AP/RAP AUC = 0.819). NGAL was elevated in CP and diabetes compared with CP without diabetes ( P < 0.001). NGAL + PBMC populations distinguished CP from controls (AUC = 0.950) or AP/RAP (AUC = 0.941). Linoleic acid was lower, whereas dihomo-γ-linolenic and adrenic acids were elevated in CP ( P < 0.05). Linoleic acid was elevated in CP with diabetes compared with CP subjects without diabetes ( P = 0.0471). DISCUSSION: Elevated plasma NGAL and differences in NGAL + PBMCs indicate an immune response shift that may serve as biomarkers of CP. The potential interaction of FAs and NGAL levels provide insights into the metabolic pathophysiology and improve diagnostic classification of CP.

PURPOSE Outcomes for patients with newly diagnosed multiple myeloma (NDMM) are heterogenous, with overall survival (OS) ranging from months to over 10 years. METHODS To decipher and predict the molecular and clinical heterogeneity of NDMM, we assembled a series of 1,933 patients with available clinical, genomic, and therapeutic data. RESULTS Leveraging a comprehensive catalog of genomic drivers, we identified 12 groups, expanding on previous gene expression–based molecular classifications. To build a model predicting individualized risk in NDMM (IRMMa), we integrated clinical, genomic, and treatment variables. To correct for time-dependent variables, including high-dose melphalan followed by autologous stem-cell transplantation (HDM-ASCT), and maintenance therapy, a multi-state model was designed. The IRMMa model accuracy was significantly higher than all comparator prognostic models, with a c-index for OS of 0.726, compared with International Staging System (ISS; 0.61), revised-ISS (0.572), and R2-ISS (0.625). Integral to model accuracy was 20 genomic features, including 1q21 gain/amp, del 1p, TP53 loss, NSD2 translocations, APOBEC mutational signatures, and copy-number signatures (reflecting the complex structural variant chromothripsis). IRMMa accuracy and superiority compared with other prognostic models were validated on 256 patients enrolled in the GMMG-HD6 (ClinicalTrials.gov identifier: NCT02495922 ) clinical trial. Individualized patient risks were significantly affected across the 12 genomic groups by different treatment strategies (ie, treatment variance), which was used to identify patients for whom HDM-ASCT is particularly effective versus patients for whom the impact is limited. CONCLUSION Integrating clinical, demographic, genomic, and therapeutic data, to our knowledge, we have developed the first individualized risk-prediction model enabling personally tailored therapeutic decisions for patients with NDMM.

Background: Sodium-glucose co-transport-2 (SGLT2) inhibitors have been shown to reduce clinical events and improve health status (symptoms, function, and quality of life) in patients with HF across the range of EF. Baseline kidney dysfunction is common in HF, complicates HF management, and is strongly linked to worse health status. Aim: The study objective was to assess whether the treatment effects of dapagliflozin on health status vary based on baseline eGFR. Methods: Patient-level data were pooled from the DEFINE-HF (N = 263 participants with EF < 40%) and PRESERVED-HF trials (N = 324 participants with EF > 45%). Both were double-blind, randomized trials of dapagliflozin vs. placebo, enrolling participants with NYHA class II or higher and elevated natriuretic peptides. The primary endpoint for this analysis was Kansas City Cardiomyopathy Questionnaire Clinical Summary Score (KCCQ-CCS) at 12 weeks. Interaction of dapagliflozin effects on KCCQ-CCS by baseline eGFR (mL/min/1.73m 2 ) was assessed as categorical (i.e., eGFR <60 vs. > 60) and continuous variables. Results: Across both trials there were 583 (99.3%) participants with available baseline eGFR. The median (25 th , 75 th ) eGFR was 59 (46,77). Dapagliflozin improved KCCQ-CSS at 12 weeks (placebo-adjusted difference, +5.0 points, 95% Confidence Interval [CI] 2.6-7.5; p-value <0.001), and this was consistent in participants with an eGFR > 60 (+6.0 points, 95% CI 2.4-9.7; p=0.001) and <60 (+4.1 points, 95% CI 0.5-7.7; p=0.025) (p-interaction = 0.46). The benefits of dapagliflozin on KCCQ-CSS were robust across eGFR when modeled continuously (p-interaction = 0.46) ( Figure ). There was no heterogeneity of treatment effects when analyzing other KCCQ domains based on eGFR categorically or continuously (all p-interaction = NS). Conclusion: Treatment with dapagliflozin for 12 weeks led to significant and consistent improvements in health-related quality of life in patients with HF across a wide range of eGFRs.

Introduction: The relationship between aortic stenosis (AS) severity, AS-related symptoms, and clinical outcomes is poorly understood. Research Question: Does a history of AS-related symptoms at the time of diagnosis affect clinical outcomes including death and AS-related hospitalization? Methods: Using a combination of natural language processing algorithms and administrative codes, we ascertained physician-assessed AS, AS severity, and AS-related symptoms (chest pain, acute coronary syndrome, syncope, presyncope, orthopnea, dyspnea, PND, and worsening heart failure) in the year prior or up to 60 days after an initial AS diagnosis among 602,821 adults with echocardiograms in a large, integrated health system from 2010-2019. We examined multivariable associations between AS severity and recent AS-related symptoms for the outcomes of death and AS-related hospitalizations using Cox models. Results: Among 40,333 patients identified with incident AS, the majority had recent AS-related symptoms (mild: 80%, mild-moderate: 77%, moderate: 77%, moderate-severe: 85%, and severe AS: 87%). Patients with recent symptoms were older (mean [SD] age 78 [10] vs 75 [11] years; p<0.01), more likely female (51% vs 47%; p<0.01), and had a higher comorbidity burden. In unadjusted analyses, symptom status was a strong discriminator of risk over a median (IQR) of 2.2 (0.8-4.3) years of follow-up ( Figure ). After multivariable adjustment, AS-related symptoms remained strongly associated with death and AS-related hospitalization across the spectrum of AS severity, with moderate symptomatic patients having risk similar to severe asymptomatic patients. Conclusions: The majority of patients diagnosed with AS have recent and/or active AS-related symptoms, which is associated with a significantly increased risk of adverse outcomes. Incorporating symptom status across the individual grades of AS may improve risk stratification beyond AS severity alone.

Background: Radiographic surveillance of colorectal cancer (CRC) after curative-intent therapy is costly and unreliable. Methylated DNA markers (MDMs) detected primary CRC and metastatic recurrence with high sensitivity and specificity in cross-sectional studies. This study evaluated using serial MDMs to detect recurrence and monitor the treatment response to anti-cancer therapies. Methods: A nested case-control study was drawn from a prospective cohort of patients with CRC who completed curative-intent therapy for CRC of all stages. Plasma MDMs were assayed vis target enrichment long-probe quantitative-amplified signal assays, normalized to B3GALT6, and analyzed in combination with serum carcinoembryonic antigen to yield an MDM score. Clinical information, including treatment and radiographic measurements of the tumor burden, were longitudinally collected. Results: Of the 35 patients, 18 had recurrence and 17 had no evidence of disease during the study period. The MDM score was positive in 16 out of 18 patients who recurred and only 2 of the 17 patients without recurrence. The MDM score detected recurrence in 12 patients preceding clinical or radiographic detection of recurrent CRC by a median of 106 days (range 90–232 days). Conclusions: Plasma MDMs can detect recurrent CRC prior to radiographic detection; this tumor-agnostic liquid biopsy approach may assist cancer surveillance and monitoring.