Simulation of bempedoic acid and ezetimibe in the lipid-lowering treatment pathway in Austria using the contemporary SANTORINI cohort of high and very high risk patients.

OBJECTIVE: The low-density lipoprotein cholesterol goals in the 2019 European Society of Cardiology/European Atherosclerosis Society dyslipidaemia guidelines necessitate greater use of combination therapies. We describe a real-world cohort of patients in Austria and simulate the addition of oral bempedoic acid and ezetimibe to estimate the proportion of patients reaching goals. METHODS: Patients at high or very high cardiovascular risk on lipid-lowering treatments (excluding proprotein convertase subtilisin/kexin type 9 inhibitors) from the Austrian cohort of the observational SANTORINI study were included using specific criteria. For patients not at their risk-based goals at baseline, addition of ezetimibe (if not already received) and subsequently bempedoic acid was simulated using a Monte Carlo simulation. RESULTS: A cohort of patients (N = 144) with a mean low-density lipoprotein cholesterol of 76.4 mg/dL, with 94% (n = 135) on statins and 24% (n = 35) on ezetimibe monotherapy or in combination, were used in the simulation. Only 36% of patients were at goal (n = 52). Sequential simulation of ezetimibe (where applicable) and bempedoic acid increased the proportion of patients at goal to 69% (n = 100), with a decrease in the mean low-density lipoprotein cholesterol from 76.4 mg/dL at baseline to 57.7 mg/dL overall. CONCLUSIONS: The SANTORINI real-world data in Austria suggest that a proportion of high and very high-risk patients remain below the guideline-recommended low-density lipoprotein cholesterol goals. Optimising use of oral ezetimibe and bempedoic acid after statins in the lipid-lowering pathway could result in substantially more patients attaining low-density lipoprotein cholesterol goals, likely with additional health benefits.

mFast-SeqS as a Monitoring and Pre-screening Tool for Tumor-Specific Aneuploidy in Plasma DNA.

Recent progress in the analysis of cell-free DNA fragments (cell-free circulating tumor DNA, ctDNA) now allows monitoring of tumor genomes by non-invasive means. However, previous studies with plasma DNA from patients with cancer demonstrated highly variable allele frequencies of ctDNA. Comprehensive genome-wide analysis of tumor genomes is greatly facilitated when plasma DNA has increased amounts of ctDNA. In order to develop a fast and cost-effective pre-screening method for the identification of plasma samples suitable for further extensive qualitative analysis, we adapted the recently described FAST-SeqS method. We show that our modified FAST-SeqS method (mFAST-SeqS) can be used as a pre-screening tool for an estimation of the ctDNA percentage. Moreover, since the genome-wide mFAST-SeqS z-scores correlate with the actual tumor content in plasma samples, changes in ctDNA levels associated with response to treatment can be easily monitored without prior knowledge of the genetic composition of tumor samples.

Rapid Identification of Plasma DNA Samples with Increased ctDNA Levels by a Modified FAST-SeqS Approach.

BACKGROUND: Recent progress in the analysis of cell-free DNA fragments [cell-free circulating tumor DNA (ctDNA)] now allows monitoring of tumor genomes by noninvasive means. However, previous studies with plasma DNA from patients with cancer demonstrated highly variable allele frequencies of ctDNA. The comprehensive analysis of tumor genomes is greatly facilitated when plasma DNA has increased amounts of ctDNA. Therefore, a fast and cost-effective prescreening method to identify such plasma samples without previous knowledge about alterations in the respective tumor genome could assist in the selection of samples suitable for further extensive qualitative analysis. METHODS: We adapted the recently described Fast Aneuploidy Screening Test-Sequencing System (FAST-SeqS) method, which was originally established as a simple, effective, noninvasive screening method for fetal aneuploidy from maternal blood. RESULTS: We show that our modified FAST-SeqS method (mFAST-SeqS) can be used as a prescreening tool for an estimation of ctDNA percentage. With a combined evaluation of genome-wide and chromosome arm-specific z-scores from dilution series with cell line DNA and by comparisons of plasma-Seq profiles with data from mFAST-SeqS, we established a detection limit of ≥10% mutant alleles. Plasma samples with an mFAST-SeqS z-score >5 showed results that were highly concordant with those of copy number profiles obtained from our previously described plasma-Seq approach. CONCLUSIONS: Advantages of this approach include the speed and cost-effectiveness of the assay and that no prior knowledge about the genetic composition of tumor samples is necessary to identify plasma DNA samples with >10% ctDNA content.