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Epigenetic Features of cfDNA Progress in cfDNA research has been driven forward rapidly by systematic characterizations of specific DNA mutations across basic and clinical research settings. This momentum has promise to not only accelerate the advent of personalized cancer care based on cfDNA assays but to also unlock the potential of cfDNA as a biomarker for various other diseases and clinical conditions. Oberhofer et al. also discuss cfDNA fragmentomics, but they also explore exciting and rapidly expanding research showing that various other epigenetic and physico-chemical features of cfDNA, such as various types of DNA methylation patterns, post-translational histone modifications, and nucleosome compaction patterns, are often cell- and disease-specific, which can be leveraged to trace the origins of cfDNA molecules. They found a high concordance in the mutational profiles between cfDNA and tissue analysis, indicating that cfDNA may be an ideal biomarker and potentially an alternative method to tissue analysis for the management of PMBL cases [[20]]. [Extracted from the article]

Background: The association of aspartate aminotransferase to alanine aminotransferase ratio (De Ritis ratio) with clinical outcomes in patients with chronic coronary syndromes (CCS) remains unclear. This study aims to assess the association of De Ritis ratio with adverse cardiovascular events in patients with CCS. Materials and Methods: The study included 5020 patients with CCS undergoing percutaneous coronary intervention. Patients were categorized into groups according to tertiles of the De Ritis ratio: tertile 1 (De Ritis ratio: <.75; n = 1688 patients), tertile 2 (De Ritis ratio:.75–1.08; n = 1666 patients) and tertile 3 (De Ritis ratio: >1.08; n = 1666 patients). The primary endpoint was 3‐year mortality. Results: At 3 years, there were 384 deaths, 176 myocardial infarctions and 61 strokes. In groups with De Ritis in the 1st, 2nd and 3rd tertiles, deaths occurred in 5.0%, 7.5% and 14.5% of the patients, respectively (adjusted hazard ratio = 1.09, 95% confidence interval [1.06–1.12], p <.001); myocardial infarctions occurred in 2.6%, 3.5% and 5.1% of the patients, respectively (p <.001); strokes occurred in 1.0%, 1.2% and 1.9% of the patients, respectively (p =.030); bleeding at 30 days (n = 112) occurred in 1.4%, 1.6% and 3.7% of the patients, respectively (p <.001). The C‐statistic of the Cox proportional hazards model for all‐cause mortality with baseline data without the De Ritis ratio was.815 [.794–.836] and.818 [.797–.838] after the inclusion of the De Ritis ratio (delta C‐statistic =.003; p =.005). Conclusions: In patients with CCS undergoing percutaneous coronary intervention, an elevated De Ritis ratio was associated with long‐term major adverse cardiovascular events. [ABSTRACT FROM AUTHOR]

• Elevated De Ritis ratio with AST and ALT activity in the reference range has prognostic value. • De Ritis ratio with AST and ALT activity in the reference range predicts 3-year all-cause, cardiac and noncardiac mortality. • De Ritis ratio provides prognostic information on top of cardiovascular risk factors. Whether aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio (De Ritis ratio) with AST and ALT activities within the reference range has prognostic value is unknown. This study included 3392 patients with stable coronary artery disease and AST and ALT activities within the reference range. Patients are categorized in groups according to tertiles of the De Ritis ratio: a group with De Ritis ratio in the 1st tertile (De Ritis ratio: 0.22 to 0.81; n = 1131), a group with De Ritis ratio in the 2nd tertile (De Ritis ratio: >0.81 to 1.09; n = 1130) and a group with De Ritis ratio in the 3rd tertile (De Ritis ratio: >1.09 to 3.40; n = 1131). The primary endpoint was 3-year mortality. The mean value of De Ritis ratio was 1.00 ± 0.39 (range: 0.22–3.40). Overall, there were 234 deaths at 3 years: 43 deaths in patients of 1st tertile, 75 deaths in patients of 2nd tertile and 116 deaths in patients of 3rd tertile of De Ritis ratio (Kaplan-Meier estimates of 3-year mortality, 4.4 %, 7.8 % and 12.5 %, respectively; (adjusted hazard ratio = 1.24, 95 % confidence interval 1.12 to 1.38; P < 0.001 for 1 unit higher De Ritis ratio). The C-statistic of the risk prediction model for mortality with baseline demographical and clinical variables without De Ritis ratio was 0.803 [0.774–0.832] and it increased to 0.810 [0.782–0.839] after inclusion of De Ritis ratio into the model (P = 0.038). An elevated De Ritis ratio with aminotransferase levels within the reference range was associated with the increased risk of mortality. [ABSTRACT FROM AUTHOR]

• De Ritis ratio predicts 3-year all-cause mortality after acute myocardial infarction. • De Ritis ratio predicts 3-year cardiac mortality after acute myocardial infarction. • De Ritis ratio predicts 30-day risk of bleeding after percutaneous coronary intervention. • De Ritis ratio has a moderate sensitivity regarding prediction of mortality. The association between aspartate aminotransferase to alanine aminotransferase ratio (De Ritis ratio) and prognosis of patients with acute myocardial infarction (AMI) remains poorly investigated. This study included 3000 patients with AMI undergoing percutaneous coronary intervention. Patients were categorized in groups according to tertiles of the De Ritis ratio: tertile 1 (De Ritis ratio < 1.11; 905 patients), tertile 2 (De Ritis ratio 1.11 to 1.95; 1003 patients) and tertile 3 (De Ritis ratio > 1.95; 1002 patients). The primary endpoint was 3-year all-cause mortality. At 3 years, all-cause deaths occurred in 487 patients: 119 deaths (13.2%) in patients of 1st tertile, 164 deaths (17.8%) in patients of 2nd tertile and 204 deaths (21.9%) in patients of 3rd tertile of the De Ritis ratio (adjusted hazard ratio [HR] = 1.16, 95% confidence interval [CI] 1.02 to 1.31], P = 0.023 per unit increment in the logarithmic scale of the De Ritis ratio); cardiac deaths occurred in 328 patients: 76 deaths (8.2%) in patients of 1st tertile, 110 deaths (12.0%) in patients of 2nd tertile and 142 deaths (15.4%) in patients of 3rd tertile of the De Ritis ratio (adjusted HR = 1.20 [1.04–1.40], P = 0.014 per unit increment in the logarithmic scale of De Ritis ratio). The C-statistic of the multivariable model(s) with baseline data without and with De Ritis ratio was 0.822 [0.805–0.839] and 0.823 [0.805–0.840], (P = 0.419) for all-cause mortality and 0.831[0.811–0.852] and 0.832 [0.811–0.853], P = 0.621) for cardiac mortality. In patients with AMI, elevated De Ritis ratio was associated with increased risk of 3-year mortality. [ABSTRACT FROM AUTHOR]

• ALP predicts 3-year mortality in patients with diabetes mellitus and ischemic heart disease. • Low and high ALP activity levels were associated with increased risk of mortality. • Impaired renal function and elevated C-reactive protein correlated with higher ALP activity. The association between alkaline phosphatase (ALP) and mortality in patients with diabetes mellitus (DM) and ischemic heart disease (IHD) remains poorly investigated. The study included 1426 patients with DM and IHD who underwent percutaneous coronary intervention. Patients were divided in groups according to tertiles of ALP activity: a group with ALP activity in 1st tertile (ALP activity: 20.8–65.0 U/L; n = 478), a group with ALP activity in 2nd tertile (ALP activity: 65.1–87.0 U/L; n = 473) and a group with ALP activity in 3rd tertile (ALP activity: 87.1–1520 U/L; n = 475). The primary endpoint was 3-year all-cause mortality. At 3 years, all-cause deaths occurred in 182 patients: 50 deaths (12.4%) in patients of 1st tertile, 47 deaths (11.7%) in patients of 2nd tertile and 85 deaths (20.8%) in patients of 3rd tertile of ALP activity (adjusted hazard ratio [HR] = 1.20, 95% confidence interval [CI] 1.02 to 1.42, P = 0.031); cardiac deaths occurred in 110 patients: 28 deaths (7.0%) in patients of 1st tertile, 30 deaths (7.6%) in patients of 2nd tertile and 52 deaths (12.7%) in patients of 3rd tertile of ALP activity (adjusted HR = 1.27 [1.04–1.56], P = 0.021, with both risk estimates calculated for unit increment in the log scale of ALP activity). The C-statistic of the multivariable model with baseline data without and with ALP was 0.787 [0.750–0.818] and 0.804 [0.757–0.851], (P = 0.575) for all-cause mortality and 0.832 [0.798–0.864] and 0.876 [0.833–0.918], (P = 0.115) for cardiac mortality. In patients with DM and IHD, elevated ALP activity was associated with increased risk of 3-year mortality. [ABSTRACT FROM AUTHOR]

• Cockcroft-Gault creatinine clearance and EKFC equations predict mortality better than MDRD-4 and CKD-EPI equations. • Cockcroft-Gault creatinine clearance and EKFC equations predict bleeding better than MDRD-4 and CKD-EPI equations. • All four eGFR equations failed to improve risk prediction for myocardial infarction. It remains unknown which equation used to assess the glomerular function is better for risk stratification in patients with acute coronary syndrome (ACS). This study included 3985 patients with ACS. Glomerular function was assessed using 4 equations: the Cockcroft-Gault creatinine clearance (C-G CrCl), Modification of Diet in Renal Disease-4 (MDRD-4), Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and European Kidney Function Consortium (EKFC) equations. The primary outcome was one-year all-cause mortality. For each 30 ml/min decrement, the adjusted hazard ratio [HR] with 95% confidence interval [CI] for one-year mortality was 1.67 [1.27–2.25] for C-G CrCl , 1.45 [1.16–1.81] for MDRD-4, 1.76 [1.35–2.30] for CKD-EPI and 1.94 [1.44–2.63] for EKFC equation. Area under the receiver operating characteristic curve (AUC) for one-year mortality was 0.748 [0.709–0.788] for C-G CrCl , 0.670 [0.621–0.718] for estimated glomerular filtration rate (eGFR) calculated by MDRD-4 equation, 0.725 [0.684–0.765] for eGFR calculated by CKD-EPI equation and 0.741 [0.703–0.779] for eGFR calculated by EKFC equation (P = 0.342 for C-G CrCl , vs. EKFC equation and P ≤ 0.009 for all other AUC comparisons). In patients with ACS, C-G CrCl and EKFC equations showed a similar discriminatory power regarding prediction of one-year mortality. Both equations were better than MDRD-4 and CKD-EPI equations for risk discrimination for mortality. Clinical Trial Registration: NCT01944800. [ABSTRACT FROM AUTHOR]

Background: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is frequently used as a valuable prognostic biomarker in cardiac diseases. In children, however, it has not been established because of its strong age dependency. To overcome this obstacle, we recently introduced the zlog value of N-terminal pro-B-type natriuretic peptide (zlog-proBNP) as an age-adjusted reference.Objectives: This study evaluates the prognostic power of zlog-proBNP for the occurrence of major adverse cardiovascular events (MACE) throughout childhood in patients with congenital heart diseases (CHD).Methods: A total of 910 children with CHD (median age 5 months; range 0.0-18.0 years) were included. MACE was defined as death, resuscitation, mechanical circulatory support, or hospitalization caused by cardiac decompensation. Because the physiological NT-proBNP concentration decreases significantly during childhood, zlog values were applied for an age-independent evaluation.Results: MACE occurred in 138 children during a median follow-up of 6 months (range 1 day to 7.6 years). High zlog-proBNP values (>+3.0) were most strongly associated with adverse events (n = 93; adjusted HR: 21.1; 95% CI: 2.9-154.2; P < 0.001). Among all evaluated indicators, zlog-proBNP was the best predictor for MACE (adjusted HR: 1.52; 95% CI: 1.31-1.76; P < 0.001) along with age and predictively superior to absolute NT-proBNP values. A cutoff value of +1.96 (age-independent upper limit of the physiological NT-proBNP concentration) achieved a negative predictive value of >96%.Conclusions: Zlog-proBNP overcomes the strong age dependency of NT-proBNP and is a powerful prognostic marker for age-independent exclusion and prediction of MACE in children with CHD. We therefore expect zlog-proBNP to play a pivotal role in the future management of children with heart diseases. [ABSTRACT FROM AUTHOR]

Background: The association between elevated creatine kinase (CK) and bleeding in patients with acute coronary syndrome (ACS) remains incompletely investigated. We undertook this study to assess whether there is an association between elevated CK activity and the risk for bleeding in contemporary patients with ACS. Materials and Methods: This post hoc analysis of a randomized trial included 3368 patients with ACS undergoing percutaneous coronary intervention. CK was measured serially in all patients until hospital discharge. The main outcome was 30‐day incidence of major bleeding (type 3 to 5 bleeding according to the Bleeding Academic Research Consortium criteria). Results: Patients were categorized in groups according to the peak CK tertiles: 1st tertile (CK ≤259 U/L; n = 1127 patients), 2nd tertile (CK ≥260 to 990 U/L; n = 1119 patients), and 3rd tertile (CK ≥ 991 U/L; n = 1122 patients). Peak CK activity was higher in patients with bleeding than those without bleeding (771 [316‐1845] U/L vs. 496 [190‐1357] U/L; P <.001). Bleeding occurred in 26 patients (2.3%) with peak CK within 1st tertile, 39 patients (3.5%) with peak CK within 2nd tertile, and 54 patients (4.8%) with peak CK within 3rd tertile (univariable hazard ratio [HR]=1.39, 95% confidence interval [CI] 1.08 to 1.81, P =.012, per tertile increment in CK values). After adjustment, peak CK activity remained significantly associated with the 30‐day bleeding (HR = 1.67 [1.16‐2.41]; P =.006 per unit increment in logarithmic CK values). The C statistic of the multivariable model with CK activity was 0.807 [0.770‐0.842]. Conclusions: In patients with ACS, peak CK activity was independently associated with increased 30‐day incidence of bleeding. [ABSTRACT FROM AUTHOR]

Bei NT-proBNP zeigt sich eine besonders ausgeprägte Altersabhängigkeit der Referenzintervalle im Kindesalter. Kontinuierliche Referenzintervalle und ein NT-proBNP-spezifischer zlog-Wert ermöglichen in der Kinderkardiologie erstmals Verlaufskontrollen und unterstützen die Risikostratifizierung bei schwerwiegenden kardialen Ereignissen. Dies erhöht den Stellenwert dieses Biomarkers für den klinischen Einsatz deutlich. [ABSTRACT FROM AUTHOR]

Eine frühzeitige Erkennung gilt als Schlüssel für eine bestmögliche Behandlung von Tumorerkrankungen. Ein neuer Ansatz zum umfassenden Tumor-Screening ist die Charakterisierung von zellfreier Tumor-DNA (ctDNA) im Blutplasma durch massive Sequenzierung in Form eines molekularen Profiling der Mutationen, der Methylierungsmuster sowie einer Fragmentanalyse der ctDNA. Dadurch ist die zielgenaue Erkennung von Tumoren im frühen Stadium wie auch deren Lokalisation möglich. Studien mit echten Screening-Populationen müssen die Anwendbarkeit in der Praxis noch klären. [ABSTRACT FROM AUTHOR]

In der Laboratoriumsmedizin kann maschinelles Lernen eingesetzt werden, um in den reichlich vorhandenen Daten verborgene Strukturen und Zusammenhänge zu entdecken oder die Diagnosefindung zu unterstützen. Am Beispiel eines Datensatzes aus der Onkologie werden die einzelnen Prozessschritte von den Rohdaten bis zum fertigen Ergebnis demonstriert. Dabei verursacht die Datenaufbereitung den höchsten Aufwand. [ABSTRACT FROM AUTHOR]

Laboratory information systems typically contain hundreds or even thousands of reference limits stratified by sex and age. Since under these conditions a manual plausibility check is hardly feasible, we have developed a simple algorithm that facilitates this check. An open-source R tool is available as a Shiny application at github.com/SandraKla/Zlog_AdRI. Based on the zlog standardization, we can possibly detect critical jumps at the transitions between age groups, regardless of the analytical method or the measuring unit. Its advantage compared to the standard z-value is that means and standard deviations are calculated from the reference limits rather than from the underlying data itself. The purpose of the tool is illustrated by the example of reference intervals of children and adolescents from the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER). The Shiny application identifies the zlog values, lists them in a colored table format and plots them additionally with the specified reference intervals. The algorithm detected several strong and rapid changes in reference intervals from the neonatal period to puberty. Remarkable jumps with absolute zlog values of more than five were seen for 29 out of 192 reference limits (15.1%). This might be attenuated by introducing shorter time periods or mathematical functions of reference limits over age. Age-partitioned reference intervals will remain the standard in laboratory routine for the foreseeable future, and as such, algorithmic approaches like our zlog approach in the presented Shiny application will remain valuable tools for testing their plausibility on a wide scale. [ABSTRACT FROM AUTHOR]

The article reports that Raiko Krüger and colleagues describe lean management solutions that can be used in hospital laboratories in order to guarantee the shortest possible throughput times from the laboratory order to the transmission of findings.

Breast cancer is the most common cancer affecting women worldwide. It is a malignant and heterogeneous disease with distinct molecular subtypes, which has prognostic and predictive implications. Circulating tumor DNA (ctDNA), cell-free fragmented tumor-derived DNA in blood plasma, is an invaluable source of specific cancer-associated mutations and holds great promise for the development of minimally invasive diagnostic tests. Furthermore, serial monitoring of ctDNA over the course of systemic and targeted therapies not only allows unparalleled efficacy assessments but also enables the identification of patients who are at risk of progression or recurrence. Droplet digital PCR (ddPCR) is a powerful technique for the detection and monitoring of ctDNA. Due to its relatively high accuracy, sensitivity, reproducibility, and capacity for absolute quantification, it is increasingly used as a tool for managing cancer patients through liquid biopsies. In this review paper, we gauge the clinical utility of ddPCR as a technique for mutational profiling in breast cancer patients and focus on HER2, PIK3CA, ESR1, and TP53, which represent the most frequently mutated genes in breast cancers. [ABSTRACT FROM AUTHOR]

Data on systemic inflammatory response syndrome (SIRS) after transcatheter aortic valve implantation (TAVI) are scarce and limited to small cohorts. We aimed to investigate its incidence and mid-term impact in a large cohort of TAVI patients. From January 2018 to December 2020, 717 patients with severe aortic valve stenosis undergoing TAVI were included. SIRS was defined as fulfilling at least two of the following criteria within 48 h from the procedure: leucocyte count >12.0 or <4.0 × 109/l, respiratory rate > 20 breaths per minute or PaCO 2 ≤ 4.3 kPa/32 mmHg, heart rate > 90 beats per minute and temperature > 38.0 °C or <36.0 °C. Clinical endpoints were 1-year rehospitalization for chronic heart failure (CHF) and 2-years all-cause mortality. Event rates during follow-up were calculated as Kaplan-Meier estimates. SIRS developed in 56.3 % (404/717) of patients after TAVI. SIRS occurred more frequently in patients with post-dilatation (SIRS 34.7 % (140/404) vs. no SIRS 23.3 % (73/313); p < 0.001) and major vascular complications (SIRS 16.1 % (65/404) vs. no SIRS 8.6 % (27/313); p = 0.004). Further, ICU days were more in patients who developed SIRS (SIRS 1.56 ± 1.50 days vs. no SIRS 1.22 ± 1.02 days; p = 0.001). At 2-years, all-cause mortality in the entire population was 23.9 %. However, there was no difference in CHF at 1-year (5.9 % vs. 4.1 %; log-rank = 0.347) nor in all-cause mortality at 2-years (22.0 % vs. 26.2 %; log-rank = 0.690) between the groups. SIRS is a common finding after TAVI, which may prolong hospital stay but is without effect on mortality during 2-years follow-up. • SIRS is a common finding after TAVI, occurring in more than half of patients. • SIRS occurs more often in patients with post-dilatation and major vascular complications. • Inflammatory markers after TAVI increase, irrespective of SIRS development. • The occurrence of SIRS after TAVI is without effect on 2-years mortality. [ABSTRACT FROM AUTHOR]

Liquid biopsy is a broad term that refers to the testing of body fluids for biomarkers that correlate with a pathological condition. While a variety of body-fluid components (e.g., circulating tumor cells, extracellular vesicles, RNA, proteins, and metabolites) are studied as potential liquid biopsy biomarkers, cell-free DNA (cfDNA) has attracted the most attention in recent years. The total cfDNA population in a typical biospecimen represents an immensely rich source of biological and pathological information and has demonstrated significant potential as a versatile biomarker in oncology, non-invasive prenatal testing, and transplant monitoring. As a significant portion of cfDNA is composed of repeat DNA sequences and some families (e.g., pericentric satellites) were recently shown to be overrepresented in cfDNA populations vs their genomic abundance, it holds great potential for developing liquid biopsy-based biomarkers for the early detection and management of patients with cancer. By outlining research that employed cell-free repeat DNA sequences, in particular the ALU and LINE-1 elements, we highlight the clinical potential of the repeat-element content of cfDNA as an underappreciated marker in the cancer liquid biopsy repertoire. [ABSTRACT FROM AUTHOR]

Die prognostische Bedeutung von NT-proBNP bei Kindern mit angeborenen Herzfehlern konnte wegen der vor allem im ersten Lebensjahr ausgeprägten Altersdynamik bislang nur unzureichend untersucht werden. Abhilfe schafft die altersangepasste Standardisierung der Absolutwerte mithilfe des kürzlich eingeführten NT-proBNP-spezifischen zlog-Wertes, der analog zu einem Z-Score interpretiert wird. Wir zeigen, dass die Wahrscheinlichkeit schwerer kardialer Ereignisse bei Kindern mit angeborenen Herzfehlern stark zunimmt, je höher dieser Wert liegt. [ABSTRACT FROM AUTHOR]

Liquid biopsies are revolutionizing the detection and management of malignant diseases. While repetitive DNA sequences, such as LINE-1 and ALU are established in cell-free DNA (cfDNA) research, their clinical applications remain limited. In this study, we explore human satellite 2 (HSATII), a prevalent repeat DNA sequence in plasma that exhibits increased levels in cancer patients, thereby positioning it as a potential pan-cancer biomarker. We employed targeted sequencing and copy number variation (CNV) analysis using two primer pairs to assess the differential abundance of HSATII sequences in the plasma of breast cancer patients compared to healthy individuals. PCR amplicons of HSATII from 10 patients and 10 control subjects were sequenced, generating 151 bp paired-end reads. By constructing a pooled reference dataset, HSATII copy ratios were estimated in the patients. Our analysis revealed several significant CNVs in HSATII, with certain sequences displaying notable gains and losses across all breast cancer patients, suggesting their potential as biomarkers. However, we observed pronounced fragmentation of cfDNA in cancer, leading to the loss of longer PCR amplicons (>180 bp). While not all observed losses can be attributed to fragmentation artifacts, this phenomenon does introduce complexity in interpreting CNV data. Notably, this research marks the first instance of targeted HSATII sequencing in a liquid biopsy context. Our findings lay the groundwork for developing sequencing-based assays to detect differentially represented HSATII sequences, potentially advancing the field of minimally-invasive cancer screening. [ABSTRACT FROM AUTHOR]

Intense physical exercise is known to increase cardiac biomarkers; however, it is unclear, whether this phenomenon is physiological, or if it indicates myocardial tissue injury. The aim of our study was to investigate the effects of seven consecutive days of excessive endurance exercise on continuous assessment of cardiac biomarkers, function, and tissue injury. During a 7‐day trail‐running competition (Transalpine Run, distance 267.4 km, altitude ascent/descent 15556/14450 m), daily blood samples were obtained for cardiac biomarkers (hs‐TnT, NT‐proBNP, and suppression of tumorigenicity‐2 protein (ST2)) at baseline, after each stage and 24–48 h post‐race. In addition, echocardiography was performed every second day, cardiac magnetic resonance imaging (CMR) before (n = 7) and after (n = 16) the race. Twelve (eight males) out of 17 healthy athletes finished all seven stages (average total finish time: 43 ± 8 h). Only NT‐proBNP increased significantly (3.6‐fold, p = 0.009) during the first stage and continued to increase during the race. Hs‐TnT revealed an incremental trend during the first day (2.7‐fold increase, p = 0.098) and remained within the pathological range throughout the race. ST2 levels did not change during the race. All cardiac biomarkers completely returned to physiological levels post‐race. NT‐proBNP kinetics correlated significantly with mild transient reductions in right ventricular function (assessed by TAPSE, tricuspid annular plane systolic function; r = −0.716; p = 0.014). No significant echocardiographic changes in LV dimensions, LV function, or relevant alterations in CMR were observed post‐race. In summary, this study shows that prolonged, repetitive, high‐volume exercise induced a transient, significant increase in NT‐proBNP associated with right ventricular dysfunction without corresponding left ventricular functional or structural impairment. [ABSTRACT FROM AUTHOR]

Children with congenital heart disease (CHD) undergoing cardiac surgery on cardiopulmonary bypass (CPB) are at risk for systemic inflammation leading to endothelial dysfunction associated with increased morbidity. Bioactive adrenomedullin (bio-ADM) is a peptide regulating vascular tone and endothelial permeability. The aim of this study was to evaluate the dynamics of plasma bio-ADM in this patient cohort and its role in capillary leak. Plasma samples from 73 pediatric CHD patients were collected for bio-ADM measurement at five different timepoints (TP) in the pre-, intra-, and post-operative period. The primary endpoint was a net increase in bio-ADM levels after surgery on CPB. Secondary endpoints included association of bio-ADM levels with clinical signs for endothelial dysfunction. Bio-ADM levels increased after surgery on CPB from pre-operative median of 12 pg/mL (IQR [interquartile range] 12.0–14.8 pg/mL) to a maximum post-operative median of 48.8 pg/mL (IQR 34.5–69.6 pg/mL, p<0.001). Bio-ADM concentrations correlated positively with post-operative volume balance, (r=0.341; p=0.005), increased demand for vasoactive medication (duration: r=0.415; p<0.001; quantity: TP3: r=0.415, p<0.001; TP4: r=0.414, p<0.001), and hydrocortisone treatment for vasoplegia (bio-ADM median [IQR]:129.1 [55.4–139.2] pg/mL vs. 37.9 [25.2–64.6] pg/mL; p=0.034). Patients who required pleural effusion drainage revealed higher bio-ADM levels compared to those who did not (median [IQR]: 66.4 [55.4–90.9] pg/mL vs. 40.2 [28.2–57.0] pg/mL; p<0.001). Bio-ADM is elevated in children after cardiac surgery and higher levels correlate with clinical signs of capillary leakage. The peptide should be considered as biomarker for endothelial dysfunction and as potential therapeutic target in this indication. [ABSTRACT FROM AUTHOR]

Simple Summary: In oncology, the identification of early predictors of response/survival is of particular interest. C-reactive protein (CRP) concentrations have been associated with advanced non-small-cell lung cancer and poor prognosis. We characterized the association between anticancer drug exposure, tumor size as a marker of tumor dynamics, and CRP as a marker of inflammation and derived different predictors. CRP at the beginning of treatment cycle 3 (day 42) was identified as the strongest predictor of both progression-free survival and overall survival, and the inflammatory status, monitored by CRP concentration, emerged as a promising prognostic marker. The high significance of longitudinal CRP concentrations compared to baseline concentrations provided a true reflection of the patient status. This framework could be applied to other treatment modalities such as immunotherapies or targeted therapies, allowing the identification of patients at risk of early progression and/or short survival to spare them unnecessary toxicities and offer alternative treatment decisions. In oncology, longitudinal biomarkers reflecting the patient's status and disease evolution can offer reliable predictions of the patient's response to treatment and prognosis. By leveraging clinical data in patients with advanced non-small-cell lung cancer receiving first-line chemotherapy, we aimed to develop a framework combining anticancer drug exposure, tumor dynamics (RECIST criteria), and C-reactive protein (CRP) concentrations, using nonlinear mixed-effects models, to evaluate and quantify by means of parametric time-to-event models the significance of early longitudinal predictors of progression-free survival (PFS) and overall survival (OS). Tumor dynamics was characterized by a tumor size (TS) model accounting for anticancer drug exposure and development of drug resistance. CRP concentrations over time were characterized by a turnover model. An x-fold change in TS from baseline linearly affected CRP production. CRP concentration at treatment cycle 3 (day 42) and the difference between CRP concentration at treatment cycles 3 and 2 were the strongest predictors of PFS and OS. Measuring longitudinal CRP allows for the monitoring of inflammatory levels and, along with its reduction across treatment cycles, presents a promising prognostic marker. This framework could be applied to other treatment modalities such as immunotherapies or targeted therapies allowing the timely identification of patients at risk of early progression and/or short survival to spare them unnecessary toxicities and provide alternative treatment decisions. [ABSTRACT FROM AUTHOR]

Paclitaxel/platinum chemotherapy, the backbone of standard first‐line treatment of advanced non‐small cell lung cancer (NSCLC), exhibits high interpatient variability in treatment response and high toxicity burden. Baseline blood biomarker concentrations and tumor size (sum of diameters) at week 8 relative to baseline (RS8) are widely investigated prognostic factors. However, joint analysis of data on demographic/clinical characteristics, blood biomarker levels, and chemotherapy exposure‐driven early tumor response for improved prediction of overall survival (OS) is clinically not established. We developed a Weibull time‐to‐event model to predict OS, leveraging data from 365 patients receiving paclitaxel/platinum combination chemotherapy once every three weeks for ≤six cycles. A developed tumor growth inhibition model, combining linear tumor growth and first‐order paclitaxel area under the concentration‐time curve‐induced tumor decay, was used to derive individual RS8. The median model‐derived RS8 in all patients was a 20.0% tumor size reduction (range from −78% to +15%). Whereas baseline carcinoembryonic antigen, cytokeratin fragments, and thyroid stimulating hormone levels were not significantly associated with OS in a subset of 221 patients, and lactate dehydrogenase, interleukin‐6 and neutrophil‐to‐lymphocyte ratio levels were significant only in univariate analyses (p value < 0.05); C‐reactive protein (CRP) in combination with RS8 most significantly affected OS (p value < 0.01). Compared to the median population OS of 11.3 months, OS was 128% longer at the 5th percentile levels of both covariates and 60% shorter at their 95th percentiles levels. The combined paclitaxel exposure‐driven RS8 and baseline blood CRP concentrations enables early individual prognostic predictions for different paclitaxel dosing regimens, forming the basis for treatment decision and optimizing paclitaxel/platinum‐based advanced NSCLC chemotherapy. [ABSTRACT FROM AUTHOR]

Simple Summary: Ovarian cancer is often diagnosed only in advanced stages, which limits therapeutic options and prognosis. Therefore, better and easily accessible methods for the early diagnosis of ovarian cancer are needed. In particular, blood-based biomarkers seem to be promising candidates for the accurate detection of ovarian cancer. We determined the concentrations of the two proteins HMGB1 and sRAGE in the sera of 231 women with ovarian cancer, benign diseases and without known gynecologic disease. In the analyses of receiver operating characteristics, both HMGB1 and sRAGE could distinguish patients with ovarian cancer from healthy women (area under the curve (AUC) 0.77 and 0.65), benign diseases (AUC 0.72 and 0.61) or all non-malignant cases (AUC 0.74 and 0.63). Moreover, the ratio of HMGB1/sRAGE differentiated even better between malignancies and other cases (AUC 0.78, 0.74 and 0.76, respectively). In conclusion, HMGB1 and sRAGE are potential candidates for the development of assays for early diagnosis of ovarian cancer and warrant inclusion in further validation studies. Background: High mobility group box 1 (HMGB1), soluble receptor of advanced glycation end products (sRAGE) and programmed cell death markers PD-1 and PD-L1 are immunogenic serum biomarkers that may serve as novel diagnostic tools for cancer diagnosis. Methods: We investigated the four markers in sera of 231 women, among them 76 with ovarian cancer, 87 with benign diseases and 68 healthy controls, using enzyme immunoassays. Discrimination between groups was calculated using receiver operating characteristic (ROC) curves and sensitivities at fixed 90% and 95% specificities. Results: HMGB1 levels were significantly elevated and sRAGE levels were decreased in cancer patients as compared to benign and healthy controls. In consequence, the ratio of HMGB1 and sRAGE discriminated best between diagnostic groups. The areas under the curve (AUCs) of the ROC curves for differentiation of cancer vs. healthy were 0.77 for HMGB1, 0.65 for sRAGE and 0.78 for the HMGB1/sRAGE ratio, and slightly lower for the differentiation of cancer vs. benigns with 0.72 for HMGB1, 0.61 for sRAGE and 0.74 for the ratio of both. The highest sensitivities for cancer detection at 90% specificity versus benign diseases were achieved using HMGB1 with 41.3% and the HMGB1/sRAGE ratio with 39.2%, followed by sRAGE with 18.9%. PD-1 showed only minor and PD-L1 no power for discrimination between ovarian cancer and benign diseases. Conclusion: HMGB1 and sRAGE have differential diagnostic potential for ovarian cancer detection and warrant inclusion in further validation studies. [ABSTRACT FROM AUTHOR]

Background: Severe coronavirus disease 2019 (COVID-19) disease courses are characterized by immuno-inflammatory, thrombotic, and parenchymal alterations. Prediction of individual COVID-19 disease courses to guide targeted prevention remains challenging. We hypothesized that a distinct serologic signature precedes surges of IL-6/D-dimers in severely affected COVID-19 patients. Methods: We performed longitudinal plasma profiling, including proteome, metabolome, and routine biochemistry, on seven seropositive, well-phenotyped patients with severe COVID-19 referred to the Intensive Care Unit at the German Heart Center. Patient characteristics were: 65 ± 8 years, 29% female, median CRP 285 ± 127 mg/dL, IL-6 367 ± 231 ng/L, D-dimers 7 ± 10 mg/L, and NT-proBNP 2616 ± 3465 ng/L. Results: Based on time-series analyses of patient sera, a prediction model employing feature selection and dimensionality reduction through least absolute shrinkage and selection operator (LASSO) revealed a number of candidate proteins preceding hyperinflammatory immune response (denoted ΔIL-6) and COVID-19 coagulopathy (denoted ΔD-dimers) by 24–48 h. These candidates are involved in biological pathways such as oxidative stress/inflammation (e.g., IL-1alpha, IL-13, MMP9, C-C motif chemokine 23), coagulation/thrombosis/immunoadhesion (e.g., P- and E-selectin), tissue repair (e.g., hepatocyte growth factor), and growth factor response/regulatory pathways (e.g., tyrosine-protein kinase receptor UFO and low-density lipoprotein receptor (LDLR)). The latter are host- or co-receptors that promote SARS-CoV-2 entry into cells in the absence of ACE2. Conclusions: Our novel prediction model identified biological and regulatory candidate networks preceding hyperinflammation and coagulopathy, with the most promising group being the proteins that explain changes in D-dimers. These biomarkers need validation. If causal, our work may help predict disease courses and guide personalized treatment for COVID-19. [ABSTRACT FROM AUTHOR]

Despite recent advances in the treatment of non-small cell lung cancer (NSCLC), acquired drug resistance to targeted therapy remains a major obstacle. Epithelial-mesenchymal transition (EMT) has been identified as a key resistance mechanism in NSCLC. Here, we investigated the mechanistic role of key EMT-regulating small non-coding microRNAs (miRNAs) in sublines of the NSCLC cell line HCC4006 adapted to afatinib, erlotinib, gefitinib, or osimertinib. The most differentially expressed miRNAs derived from extracellular vesicles were associated with EMT, and their predicted target ZEB1 was significantly overexpressed in all resistant cell lines. Transfection of a miR-205-5p mimic partially reversed EMT by inhibiting ZEB1, restoring CDH1 expression, and inhibiting migration in erlotinib-resistant cells. Gene expression of EMT-markers, transcription factors, and miRNAs were correlated during stepwise osimertinib adaptation of HCC4006 cells. Temporally relieving cells of osimertinib reversed transition trends, suggesting that the implementation of treatment pauses could provide prolonged benefits for patients. Our results provide new insights into the contribution of miRNAs to drug-resistant NSCLC harboring EGFR-activating mutations and highlight their role as potential biomarkers and therapeutic targets. [ABSTRACT FROM AUTHOR]

Tumor marker determinations are valuable tools for the guidance of breast cancer patients during the course of disease. They are assessed on diverse analytical platforms that may be associated with differences according to the methods applied and the clinical performance. To investigate the method dependency and clinical significance of breast cancer protein tumor markers, CEA, CA 15-3, CA 125, CA 19-9 and AFP were measured in a total of 154 biobanked samples from 77 patients with breast cancer, 10 with DCIS, 31 with benign breast diseases and 36 healthy controls using a Millipore multiplex biomarker panel (MP) and an automized version of the routinely used Vista LOCI technology. The markers were compared between methods and investigated for diagnostic performance. CEA, CA 15-3 and AFP showed good correlations between both platforms with correlation coefficients of R = 0.85, 0.85 and 0.92, respectively, in all samples, but similarly also in the various subgroups. CA 125 and CA 19-9 showed only moderate correlations (R = 0.71 and 0.56, respectively). Absolute values were significantly higher for CEA, CA 15-3, CA 125 and AFP in the Vista LOCI as compared with the MP method and vice versa for CA 19-9. The diagnostic performance for discrimination of breast cancer from healthy controls was similar for both methods with AUCs in ROC curves for CEA (MP 0.81, 95% CI 0.72–0.91; LOCI 0.81; 95% CI 0.72–0.91) and CA-15-3 (MP 0.75, 95% CI 0.65–0.86; LOCI 0.67, 95% CI 0.54–0.79). Similar results were obtained for the comparison of breast cancer with benign breast diseases regarding CEA (AUC MP 0.62, 95% CI 0.51–0.73; LOCI 0.64, 95% CI 0.53–0.74) and CA-15-3 (MP 0.70, 95% CI 0.6–0.81; LOCI 0.66, 95% CI 0.54–0.77). Both platforms show moderate to good method comparability for tumor markers with similar clinical performance. However, absolute levels in individual patients should be interpreted with care. [ABSTRACT FROM AUTHOR]

Notwithstanding some improvement in the earlier detection of patients with lung cancer, most of them still present with a late-stage disease at the time of diagnosis. Next to the most frequently utilized factors affecting the prognosis of lung cancer patients (stage, performance, and age), the recent application of biomarkers obtained by liquid profiling has gained more acceptance. In our study, we aimed to answer these questions: (i) Is the quantification of free-circulating methylated PTGER4 and SHOX2 plasma DNA a useful method for therapy monitoring, and is this also possible for patients treated with different therapy regimens? (ii) Is this approach possible when blood-drawing tubes, which allow for a delayed processing of blood samples, are utilized? Baseline values for mPTGER4 and mSHOX2 do not allow for clear discrimination between different response groups. In contrast, the combination of the methylation values for both genes shows a clear difference between responders vs. non-responders at the time of re-staging. Furthermore, blood drawing into tubes stabilizing the sample allows researchers more flexibility. [ABSTRACT FROM AUTHOR]

The glycoproteins alpha-fetoprotein (AFP) and carcinoembryonic antigen (CEA) have long been approved as biomarkers for diagnosing and monitoring tumors. International Reference Preparations (IRPs) have been around since 1975. Nevertheless, manufacturer-dependent differences have been reported, indicating a lack of harmonization. This paper analyzes data from 15 external quality assessment (EQA) surveys conducted worldwide between 2018 and 2022. The aim was to gain insight into the longitudinal development of manufacturer-dependent differences for CEA and AFP. In each survey, participating laboratories received two samples with different tumor marker levels. Inter- and intra-assay variability was analyzed and the mean 80% and 90% of the manufacturer collectives were compared to the evaluation criteria of the German Medical Association (RiliBÄK). The median EQA results for CEA revealed manufacturer-dependent differences between the highest and lowest collective of up to 100%; for AFP, the median differences mostly remained below 40%. The coefficients of variation were predominantly low for both markers. We concluded that the current assays for AFP and CEA detection are better harmonized than previously reported. The assays displayed a good robustness; however, a narrowing of the current assessment limits in EQA schemes could further enhance the quality of laboratory testing. [ABSTRACT FROM AUTHOR]

Purpose: Novel biomarkers to better predict outcome and select the best therapeutic strategy for the individual patient are necessary for pancreatic ductal adenocarcinoma (PDAC). Methods: Using a panel assay, multiple biomarkers (IFN-γ, IL-10, IL-6, IL-8, TNF-α, CEA, CA 19–9, CYFRA 21–1, HE4, PD-1 and PD-L1 levels) were measured in serum samples of 162 patients with resected, locally advanced and metastatic PDAC in this retrospective single-center study. Optimal cut-off values to differentiate prognostic subgroups with significantly different overall survival (OS) were determined by receiver operator characteristics and Youden Index analysis. Marker levels were assessed before the start of chemotherapy and correlated with OS by univariate and multivariate Cox analysis. Results: Median OS for resected patients was 28.2 months, for locally advanced patients 17.9 months and for patients with metastatic disease 8.6 months. CYFRA 21–1 and IL-8 discriminated metastatic from locally advanced patients best (AUC 0.85 and AUC 0.81, respectively). In univariate analyses, multiple markers showed prognostic relevance in the various subgroups. However, multivariate Cox models comprised only CYFRA 21–1 in the resected group (HR 1.37, p = 0.015), IL-10 in locally advanced PDAC (HR 10.01, p = 0.014), as well as CYFRA 21–1 and CA 19–9 in metastatic PDAC (p = 0.008 and p = 0.010) as an independent prognostic marker for overall survival. Conclusion: IL-10 levels may have independent prognostic value in locally advanced PDAC, whereas CYFRA 21–1 levels are prognostic after PDAC surgery. CYFRA 21–1 and IL-8 have been identified to best discriminate metastatic from locally advanced patients. [ABSTRACT FROM AUTHOR]

Excellent pre-analytical stability is an essential precondition for reliable molecular profiling of circulating tumor DNA (ctDNA) in oncological diagnostics. Therefore, in vitro degradation of ctDNA and the additional release of contaminating genomic DNA from lysed blood cells must be prevented. Streck Cell-Free DNA blood collection tubes (cfDNA BCTs) have proposed advantages over standard K2EDTA tubes, but mainly have been tested in healthy individuals. Blood was collected from cancer patients (n = 53) suffering from colorectal (n = 21), pancreatic (n = 11), and non-small-cell lung cancer (n = 21) using cfDNA BCT tubes and K2EDTA tubes that were processed immediately or after 3 days (BCTs) or 6 hours (K2EDTA) at room temperature. The cfDNA isolated from these samples was characterized in terms of yield using LINE-1 qPCR; the level of gDNA contamination; and the mutation status of KRAS, NRAS, and EGFR genes using BEAMing ddPCR. CfDNA yield and gDNA levels were comparable in both tube types and were not affected by prolonged storage of blood samples for at least 3 days in cfDNA BCTs or 6 hours in K2EDTA tubes. In addition, biospecimens collected in K2EDTA tubes and cfDNA BCTs stored for up to 3 days demonstrated highly comparable levels of mutational load across all respective cancer patient cohorts and a wide range of concentrations. Our data support the applicability of clinical oncology specimens collected and stored in cfDNA BCTs for up to 3 days for reliable cfDNA and mutation analyses. [ABSTRACT FROM AUTHOR]

Background: Trauma is still a major cause of mortality in people < 50 years of age. Biomarkers are needed to estimate the severity of the condition and the patient outcome. Methods: Cell-free DNA (cfDNA) and further laboratory markers were determined in plasma and serum of 164 patients at time of admission to the emergency room. Among them were 64 patients with severe trauma (Injury Severity Score (ISS) ≥ 16), 51 patients with moderate trauma (ISS < 16) and 49 patients with single fractures (24 femur neck and 25 ankle fractures). Disease severity was objectified by ISS and Glasgow Coma Scale (GCS). Results: cfDNA levels in plasma and serum were significantly higher in patients with severe multiple trauma (SMT) than in those with moderate trauma (p = 0.002, p = 0.003, respectively) or with single fractures (each p < 0.001). CfDNA in plasma and serum correlated very strongly with each other (R = 0.91; p < 0.001). The AUC in ROC curves for identification of SMT patients was 0.76 and 0.74 for cfDNA in plasma and serum, respectively—this was further increased to 0.84 by the combination of cfDNA and hemoglobin. Within the group of multiple trauma patients, cfDNA levels were significantly higher in more severely injured patients and patients with severe traumatic brain injury (GCS ≤ 8 versus GCS > 8). Thirteen (20.3%) of the multiple trauma patients died during the first week after trauma. Levels of cfDNA were significantly higher in non-surviving patients than in survivors (p < 0.001), reaching an AUC of 0.81 for cfDNA in both, plasma and serum, which was further increased by the combination with hemoglobin and leukocytes. Conclusions: cfDNA is valuable for estimation of trauma severity and prognosis of trauma patients. [ABSTRACT FROM AUTHOR]

Background: COVID-19 might pose a risk for adults with congenital heart disease (ACHD). However, data regarding the rate of infection as well as myocardial involvement in ACHD patients are currently lacking. Methods: During the study period from January to June 2021, all consecutive outpatients from our ACHD clinic were eligible to participate. Clinical data were collected. An antibody test for COVID-19 was performed in all patients. Cardiovascular magnetic resonance imaging (CMR) was offered to those with a positive antibody test. Results: Overall, 420 patients (44.8% female, mean age 36.4 ± 11.6 years) participated. Congenital heart defect (CHD) complexity was simple in 96 (22.9%), moderate in 186 (44.3%), complex in 117 (27.9%), and miscellaneous in 21 (5.0%) patients. Altogether, 28 (6.7%) patients had a positive antibody test. Out of these, 14 had an asymptomatic course. The others had mainly mild symptoms and were managed as outpatients. Furthermore, 11 patients (39.3%) had even not been aware of their infection. Fourteen patients underwent a CMR without signs of myocardial involvement in any of them. Conclusions: We observed a number of undetected cases of COVID-19 infections in our ACHD population. Reassuringly, in all cases, the infection had a mild clinical course. [ABSTRACT FROM AUTHOR]

Plasma cell-free DNA (cfDNA) originates from various tissues and cell types and can enable minimally invasive diagnosis, treatment and monitoring of cancer and other diseases. Proper extraction of cfDNA is critical to obtain optimal yields and purity. The goal of this study was to compare the performance of six commercial cfDNA kits to extract pure, high-quality cfDNA from human plasma samples and evaluate the quantity and size profiles of cfDNA extracts—among them, two spin-column based, three magnetic bead-based and two automatic magnetic bead-based methods. Significant differences were observed in the yield of DNA among the different extraction kits (up to 4.3 times), as measured by the Qubit Fluorometer and Bioanalyzer. All kits isolated mostly small fragments corresponding to mono-nucleosomal sizes. The highest yield and reproducibility were obtained by the manual QIAamp Circulating Nucleic Acid Kit and automated MagNA Pure Total NA Isolation Kit. The results highlight the importance of standardizing preanalytical conditions depending on the requirements of the downstream applications. [ABSTRACT FROM AUTHOR]

Body fluids are constantly replenished with a population of genetically diverse cell-free DNA (cfDNA) fragments, representing a vast reservoir of information reflecting real-time changes in the host and metagenome. As many body fluids can be collected non-invasively in a one-off and serial fashion, this reservoir can be tapped to develop assays for the diagnosis, prognosis, and monitoring of wide-ranging pathologies, such as solid tumors, fetal genetic abnormalities, rejected organ transplants, infections, and potentially many others. The translation of cfDNA research into useful clinical tests is gaining momentum, with recent progress being driven by rapidly evolving preanalytical and analytical procedures, integrated bioinformatics, and machine learning algorithms. Yet, despite these spectacular advances, cfDNA remains a very challenging analyte due to its immense heterogeneity and fluctuation in vivo. It is increasingly recognized that high-fidelity reconstruction of the information stored in cfDNA, and in turn the development of tests that are fit for clinical roll-out, requires a much deeper understanding of both the physico-chemical features of cfDNA and the biological, physiological, lifestyle, and environmental factors that modulate it. This is a daunting task, but with significant upsides. In this review we showed how expanded knowledge on cfDNA biology and faithful reverse-engineering of cfDNA samples promises to (i) augment the sensitivity and specificity of existing cfDNA assays; (ii) expand the repertoire of disease-specific cfDNA markers, thereby leading to the development of increasingly powerful assays; (iii) reshape personal molecular medicine; and (iv) have an unprecedented impact on genetics research. [ABSTRACT FROM AUTHOR]

Given the crucial role of mitochondria as the main cellular energy provider and its contribution towards tumor growth, chemoresistance, and cancer cell plasticity, mitochondrial DNA (mtDNA) could serve as a relevant biomarker. Thus, the profiling of mtDNA mutations and copy number variations is receiving increasing attention for its possible role in the early diagnosis and monitoring therapies of human cancers. This applies particularly to highly aggressive pancreatic cancer, which is often diagnosed late and is associated with poor prognosis. As current diagnostic procedures are based on imaging, tissue histology, and protein biomarkers with rather low specificity, tumor-derived mtDNA mutations detected from whole blood represents a potential significant leap forward towards early cancer diagnosis. However, for future routine use in clinical settings it is essential that preanalytics related to the characterization of mtDNA in whole blood are thoroughly standardized, controlled, and subject to proper quality assurance, yet this is largely lacking. Therefore, in this study we carried out a comprehensive preanalytical workup comparing different mtDNA extraction methods and testing important preanalytical steps, such as the use of different blood collection tubes, different storage temperatures, length of storage time, and yields in plasma vs. whole blood. To identify analytical and preanalytical differences, all variables were tested in both healthy subjects and pancreatic carcinoma patients. Our results demonstrated a significant difference between cancer patients and healthy subjects for some preanalytical workflows, while other workflows failed to yield statistically significant differences. This underscores the importance of controlling and standardizing preanalytical procedures in the development of clinical assays based on the measurement of mtDNA. [ABSTRACT FROM AUTHOR]

Unique bits of genetic, biological and pathological information occur in differently sized cell-free DNA (cfDNA) populations. This is a significant discovery, but much of the phenomenon remains to be explored. We investigated cfDNA fragmentation patterns in cultured human bone cancer (143B) cells using increasingly sensitive electrophoresis assays, including four automated microfluidic capillary electrophoresis assays from Agilent, i.e., DNA 1000, High Sensitivity DNA, dsDNA 915 and dsDNA 930, and an optimized manual agarose gel electrophoresis protocol. This comparison showed that (i) as the sensitivity and resolution of the sizing methods increase incrementally, additional nucleosomal multiples are revealed (hepta-nucleosomes were detectable with manual agarose gel electrophoresis), while the estimated size range of high molecular weight (HMW) cfDNA fragments narrow correspondingly; (ii) the cfDNA laddering pattern extends well beyond the 1–3 nucleosomal multiples detected by commonly used methods; and (iii) the modal size of HMW cfDNA populations is exaggerated due to the limited resolving power of electrophoresis, and instead consists of several poly-nucleosomal subpopulations that continue the series of DNA laddering. Furthermore, the most sensitive automated assay used in this study (Agilent dsDNA 930) revealed an exponential decay in the relative contribution of increasingly longer cfDNA populations. This power-law distribution suggests the involvement of a stochastic inter-nucleosomal DNA cleavage process, wherein shorter populations accumulate rapidly as they are fed by the degradation of all larger populations. This may explain why similar size profiles have historically been reported for cfDNA populations originating from different processes, such as apoptosis, necrosis, accidental cell lysis and purported active release. These results not only demonstrate the diversity of size profiles generated by different methods, but also highlight the importance of caution when drawing conclusions on the mechanisms that generate different cfDNA size populations, especially when only a single method is used for sizing. [ABSTRACT FROM AUTHOR]

All cell and tissue types constantly release DNA fragments into human body fluids by various mechanisms including programmed cell death, accidental cell degradation and active extrusion. Particularly, cell-free DNA (cfDNA) in plasma or serum has been utilized for minimally invasive molecular diagnostics. Disease onset or pathological conditions that lead to increased cell death alter the contribution of different tissues to the total pool of cfDNA. Because cfDNA molecules retain cell-type specific epigenetic features, it is possible to infer tissue-of-origin from epigenetic characteristics. Recent research efforts demonstrated that analysis of, e.g., methylation patterns, nucleosome occupancy, and fragmentomics determined the cell- or tissue-of-origin of individual cfDNA molecules. This novel tissue-of origin-analysis enables to estimate the contributions of different tissues to the total cfDNA pool in body fluids and find tissues with increased cell death (pathologic condition), expanding the portfolio of liquid biopsies towards a wide range of pathologies and early diagnosis. In this review, we summarize the currently available tissue-of-origin approaches and point out the next steps towards clinical implementation. [ABSTRACT FROM AUTHOR]

Children with univentricular hearts (UVH) undergo up to three palliative surgical procedures to achieve complete circulatory separation (Fontan circulation). As a marker of cardiac wall stress, NT-proBNP is a promising tool to assess systemic ventricular load in these patients. However, different reference intervals (RI) apply to each stage, as NT-proBNP is highly age-dependent. Children undergoing systemic-to-pulmonary (SP) shunt placement (stage 1), bidirectional cavopulmonary shunt (BCPS, stage 2) or total cavopulmonary connection (TCPC, stage 3) between 2011 and 2021 with NT-proBNP measurement within 7 days before surgery were included. Furthermore, outpatients after TCPC with NT-proBNP measurement were enrolled. Biomarker levels were evaluated using its age-adjusted z-score ("zlog-NT-proBNP"; age-independent RI, −1.96 to +1.96), allowing comparison between different stages and revealing changes in systemic ventricular load independent of the marked physiological decline in RI with age. Overall, 289 children (227 before, 62 after TCPC) met the eligibility criteria. Median time between blood sampling and surgery (SP shunt/BCPS/TCPC) was 2 [1–3] days and 3.2 [2.0–4.5] years after TCPC. Age-adjusted zlog-NT-proBNP levels were 3.47 [2.79–3.93] in children with native UVH (before SP shunt), 3.10 [1.89–3.58] at stage 1 (before BCPS), 1.08 [0.51–1.88] at stage 2 (before TCPC), and 1.09 [0.72–1.75] at stage 3 (after TCPC/Fontan completion). Consequently, BCPS revealed the strongest decrease (median − 2.02 logarithmized standard deviations, p < 0.001). In children with UVH undergoing staged Fontan palliation, zlog-NT-proBNP is a highly promising tool for course assessment of systemic ventricular load, independent of the age-related decline in physiological NT-proBNP concentration. • Age-adjusted zlog-NT-proBNP helps to quantify ventricular stress in children with UVH. • Strongest decrease of zlog-NT-proBNP was observed with bidirectional cavopulmonary shunt. • Children after TCPC mostly reveal physiological zlog-NT-proBNP levels. [ABSTRACT FROM AUTHOR]

* Context.--There is a need to avoid the overdiagnosis of prostate cancer (PCa) and to find more specific biomarkers. Objective.--To evaluate the clinical utility of [-2]pro-prostate-specific antigen ([-2]proPSA) derivatives in detecting clinically significant PCa (csPCa) and to compare it with prostate-specific antigen (PSA) and with the percentage of free PSA (%fPSA). Design.--Two hundred thirty-seven men (PSA: 2-10 ng/mL) scheduled for a prostate biopsy were enrolled. Parametric and nonparametric tests, receiver operating characteristic curves, and logistic regression analysis were applied. Outcomes were csPCa and overall PCa. Results.--Both [-2]proPSA derivatives were significantly higher in csPCa and overall PCa (P < .001). The areas under the curves for the prediction of csPCa were higher for the percentage of [-2]proPSA (%[-2]proPSA) (0.781) and the prostate health index (PHI) (0.814) than for PSA (0.651) and %fPSA (0.724). There was a gain of 11% in diagnostic accuracy when %[-2]proPSA or PHI were added to a base model with PSA and %fPSA. Twenty-five percent to 29% of biopsies could have been spared with %[-2]proPSA (cutoff: ≥1.25%) and PHI (cutoff: ≥27), missing 10% of csPCas. The same results could have been achieved by using [-2]proPSA as a reflex test, when %fPSA was 25% or less (cutoffs: ≥1.12% and ≥24 for %[-2]proPSA and PHI, respectively). Conclusions.--The [-2]proPSA derivatives improve the diagnostic accuracy of csPCa when the PSA value is between 2 and 10 ng/mL, sparing unnecessary biopsies and selecting patients for active surveillance. [-2]proPSA can be used as a reflex test when %fPSA is 25% or less, without reducing the diagnostic accuracy for csPCa and the number of spared biopsies. [ABSTRACT FROM AUTHOR]

Background: Despite the significance of colonoscopy for early diagnosis of colorectal adenocarcinoma (CRC), population-wide screening remains challenging, mainly because of low acceptance rates. Herein, exosomal (exo-miR) and free circulating microRNA (c-miR) may be used as liquid biopsies in CRC to identify individuals at risk. Direct comparison of both compartments has shown inconclusive results, which is why we directly compared a panel of 10 microRNAs in this entity. Methods: Exo-miR and c-miR levels were measured using real-time quantitative PCR after isolation from serum specimens in a cohort of 69 patients. Furthermore, results were compared to established tumor markers CEA and CA 19-9. Results: Direct comparison of exo- and c-miR biopsy results showed significantly higher microRNA levels in the exosomal compartment (p < 0.001). Exo-Let7, exo-miR-16 and exo-miR-23 significantly differed between CRC and healthy controls (all p < 0.05), while no c-miR showed this potential. Sensitivity and specificity can be further enhanced using combinations of multiple exosomal miRNAs. Conclusions: Exosomal microRNA should be considered as a promising biomarker in CRC for future studies. Nonetheless, results may show interference with common comorbidities, which must be taken into account in future studies. [ABSTRACT FROM AUTHOR]

Background Heterozygous familial hypercholesterolemia (FH) represents the most frequent monogenic disorder with an estimated prevalence of 1:250 in the general population. Diagnosis during childhood enables early initiation of preventive measures, reducing the risk of severe consecutive atherosclerotic manifestations. Nevertheless, population-based screening programs for FH are scarce. Methods In the VRONI study, children aged 5–14 years in Bavaria are invited to participate in an FH screening program during regular pediatric visits. The screening is based on low-density lipoprotein cholesterol measurements from capillary blood. If exceeding 130 mg/dl (3.34 mmol/l), i.e. the expected 95th percentile in this age group, subsequent molecular genetic analysis for FH is performed. Children with FH pathogenic variants enter a registry and are treated by specialized pediatricians. Furthermore, qualified training centers offer FH-focused training courses to affected families. For first-degree relatives, reverse cascade screening is recommended to identify and treat affected family members. Results Implementation of VRONI required intensive prearrangements for addressing ethical, educational, data safety, legal and organizational aspects, which will be outlined in this article. Recruitment started in early 2021, within the first months, more than 380 pediatricians screened over 5200 children. Approximately 50 000 children are expected to be enrolled in the VRONI study until 2024. Conclusions VRONI aims to test the feasibility of a population-based screening for FH in children in Bavaria, intending to set the stage for a nationwide FH screening infrastructure. Furthermore, we aim to validate genetic variants of unclear significance, detect novel causative mutations and contribute to polygenic risk indices (DRKS00022140; August 2020). [ABSTRACT FROM AUTHOR]

Although prostate-specific antigen-based prostate cancer screening had a positive impact in reducing prostate cancer mortality, it also led to overdiagnosis, overtreatment and a significant number of unnecessary biopsies. In the post-prostate-specific antigen era, new biomarkers have emerged that can complement the information given by prostate-specific antigen, towards a better cancer diagnostic specificity, and also allowing a better estimate of the aggressiveness of the disease and its clinical outcome. That means those markers have the potential to assist the clinician in the decision-making processes, such as whether or not to perform a biopsy, and to make the best treatment choice among the new therapeutic options available, including active surveillance in lower risk disease. In this article, we will review several of those more recent diagnostic markers (4Kscore®, [-2]proPSA and Prostate Health Index, SelectMDx®, ConfirmMDx®, Progensa® Prostate Cancer Antigen 3, Mi-Prostate Score, ExoDx™ Prostate Test, the Stockholm3 test and ERSPC risk calculators) and prognostic markers (OncotypeDX® Genomic Prostate Score, Prolaris®, Decipher® and ProMark®). We will also address some new liquid biopsy approaches – circulating tumour cells and cell-free DNA – with a potential role in metastatic castration-resistant prostate cancer and will briefly give some future perspectives, mostly outlooking epigenetic markers. [ABSTRACT FROM AUTHOR]

Background: The prognostic value of in‐hospital haemoglobin drop in patients with acute coronary syndrome (ACS) undergoing invasive therapy remains insufficiently investigated. Materials and Methods: This observational study included 3838 patients with ACS with admission and in‐hospital nadir haemoglobin values available. Haemoglobin drop was defined as a positive difference between admission and nadir haemoglobin values. The primary endpoint was one‐year all‐cause mortality. Results: In‐hospital haemoglobin drop occurred in 3142 patients (82%). Patients were categorized into 4 groups: no haemoglobin drop (n = 696 patients), <3 g/dl haemoglobin drop (n = 2703 patients), 3 to <5 g/dl haemoglobin drop (n = 344 patients) and ≥5 g/dl haemoglobin drop (n = 95 patients). The primary endpoint occurred in 156 patients: 17 patients (2.5%) in the group with no haemoglobin drop, 81 patients (3.0%) in the group with <3g/dl haemoglobin drop, 37 patients (10.9%) in the group with 3 to <5 g/dl haemoglobin drop and 21 patients (22.2%) in the group with ≥5 g/dl haemoglobin (adjusted hazard ratio [HR] = 1.30, 95% confidence interval 1.17 to 1.45; p <.001 for one g/dl haemoglobin drop). The association of haemoglobin drop with one‐year mortality remained significant after exclusion of patients with in‐hospital overt bleeding (adjusted HR = 1.27 [1.11–1.46]; p <.001 for one g/dl haemoglobin drop). The lowest haemoglobin drop associated with mortality was 1.23 g/dl in all patients (HR = 1.03 [1.02–1.04]) and 1.13 g/dl in patients without overt bleeding (HR = 1.03 [1.01–1.04]). Conclusions: In patients with ACS, in‐hospital haemoglobin drop was associated with higher risk of one‐year mortality even in the absence of overt bleeding. [ABSTRACT FROM AUTHOR]

Invasive mechanical ventilation and oxygen toxicity are postnatal contributors to chronic lung disease of prematurity, also known as bronchopulmonary dysplasia (BPD). Cyfra 21-1 is a soluble fragment of cytokeratin 19, which belongs to the cytoskeleton stabilizing epithelial intermediate filaments. As a biomarker of structural integrity, Cyfra 21-1 might be associated with airway injury and lung hypoplasia in neonates. Serum Cyfra 21-1 concentrations for 80 preterm and 80 healthy term newborns were measured within 48 h after birth. Preterm infants with the combined endpoint BPD/mortality had significantly higher Cyfra 21-1 levels compared with those without fulfilling BPD/mortality criteria (P = 0.01). Also, severe RDS (>grade III) was associated with higher Cyfra levels (P = 0.01). Total duration of oxygen therapy was more than five times longer in neonates with high Cyfra 21-1 levels (P = 0.01). Infants with higher Cyfra 21-1 values were more likely to receive mechanical ventilation (50% vs. 17.5%). However, the duration of mechanical ventilation was similar between groups. The median Cyfra value was 1.93 ng/mL (IQR: 1.68-2.53 ng/mL) in healthy term neonates and 8.5 ng/mL (IQR: 3.6-16.0 ng/mL) in preterm infants. Using ROC analysis, we calculated a Cyfra cutoff > 8.5 ng/mL to predict BPD/death with an AUC of 0.795 (P = 0.004), a sensitivity of 88.9%, and a specificity of 55%. Mortality was predicted with a cutoff > 17.4 ng/mL (AUC: 0.94; P = 0.001), a sensitivity of 100%, and a specificity of 84%. These findings suggest that Cyfra 21-1 concentration might be useful to predict poor outcome in premature infants. [ABSTRACT FROM AUTHOR]

To evaluate the diagnostic performance of the prostate health index (PHI) and of the percentage of [-2]proPSA (%[-2]proPSA) calculated with total and free PSA from non-Beckman Coulter manufacturers (Roche and Abbott), and compare it with the fully Beckman Coulter [-2]proPSA derivatives. In this study, 237 men (PSA: 2–10 μg/L) scheduled for prostate biopsy were enrolled. %[-2]proPSA and PHI were calculated with total and free PSA from three manufacturers. Beckman Coulter PSA and [-2]proPSA were performed on the Access 2 analyzer (Hybritech calibration). Roche PSA was performed on the cobas e411 and the Abbott PSA on the Architect i2000sr. Statistical analysis was performed, considering prostate cancer (PCa) as the outcome. Univariate analysis showed that all indices were predictors of cancer, irrespective of the manufacturer (p<0.001). The AUC was similar for all manufacturers, both for %[-2]proPSA (Beckman Coulter: 0.756; Roche: 0.770; Abbott: 0.756) and PHI (Beckman Coulter: 0.776; Roche: 0.785; Abbott: 0.778). When considering the cutoffs that allowed 90% sensitivity, [-2]proPSA derivatives calculated with Roche and Abbott PSA had similar specificities and predictive values when compared to Beckman Coulter. The percentage of missed cancers (8–9%) was the same between manufacturers. The percentage of spared biopsies was significantly higher with Roche's PHI (21.0%) and Abbott's PHI (20.6%) than with Beckman Coulter's PHI (17.2%). In the PSA range between 2 and 10 μg/L, [-2]proPSA derivatives maintain their diagnostic performance in PCa detection when calculated with PSA from Roche and Abbott. This can lead to a broader implementation of these indices in clinical laboratories worldwide. [ABSTRACT FROM AUTHOR]

• PHI density has a better diagnostic performance than PHI in overall prostate cancer. • For clinically significant cancer PHI and its density perform almost equally. • PSA density performs better than PHI density in detecting significant cancer. Overdiagnosis of prostate cancer (PCa) should be minimized. We wanted to evaluate the diagnostic performance of the prostate health index density (PHID) and compare it with that of the prostate health index (PHI) alone and of the prostate-specific antigen density (PSAD). 232 men scheduled for a prostate biopsy (prostate-specific antigen level: 2–10 µg/L), were enrolled. PHI, PHID and PSAD were evaluated considering PCa and clinically significant PCa (csPCa) as the outcomes. For PCa, the area under the curve (AUC) was higher for PHID (0.823) than for PHI (0.779) and PSAD (0.776). For csPCa, the AUC was also higher for PHID (0.851) but closer to that of PSAD (0.819) and PHI (0.813). For equal sensitivities (90%) for PCa, PHID and PSAD offered the highest specificities (37%), missing the same number of cancers (n = 11). Considering csPCa, PHI and PHID had similar specificities. PSAD reached the highest specificity (50.0%), sparing 32.8% of biopsies, while missing 9 cases of csPCa. PHID has a better diagnostic performance than PHI for overall PCa detection, but very close to the PSAD performance. Considering csPCa, PHI and PHID perform almost equally, but PSAD has a better diagnostic performance. [ABSTRACT FROM AUTHOR]

Keywords: evidence based-medicine; reference change value; tumor biomarker EN evidence based-medicine reference change value tumor biomarker 553 555 3 03/11/22 20220301 NES 220301 To the Editor, A word of caution on using biomarker reference change values (RCV) to guide medical decisions: In a recent study from the EFLM working group on biological variation, the biological variation of tumor markers has been investigated and estimates of the within and between subject biological variations were obtained [[1]]. Also, cancer treatment itself has a significant effect on the tumor and therefore tumor biomarker dynamics. [Extracted from the article]

Simple Summary: Relationships between drug concentrations in blood and efficacy and/or toxicity have been reported for up to 80% of oral anticancer drugs (OADs). Most OADs exhibit highly variable drug concentrations at the approved dose. This may result in a significant proportion of patients with suboptimal drug concentrations. Therapeutic Drug Monitoring (TDM), which is dose optimization based on measured drug concentrations, can be used to personalize drug dosing with the overall goal to improve the benefit-risk ratio of anticancer drug treatment. The ON-TARGET study aims to investigate the feasibility of TDM in patients receiving either axitinib or cabozantinib for the treatment of renal-cell carcinoma with the main objective to improve severe tyrosine kinase inhibitor associated toxicity. Additionally, the feasibility of volumetric absorptive microsampling (VAMS), a novel minimally invasive and easy to handle blood sampling technique, for TDM sample collection is investigated. Exposure-efficacy and/or exposure-toxicity relationships have been identified for up to 80% of oral anticancer drugs (OADs). Usually, OADs are administered at fixed doses despite their high interindividual pharmacokinetic variability resulting in large differences in drug exposure. Consequently, a substantial proportion of patients receive a suboptimal dose. Therapeutic Drug Monitoring (TDM), i.e., dosing based on measured drug concentrations, may be used to improve treatment outcomes. The prospective, multicenter, non-interventional ON-TARGET study (DRKS00025325) aims to investigate the potential of routine TDM to reduce adverse drug reactions in renal cell carcinoma patients receiving axitinib or cabozantinib. Furthermore, the feasibility of using volumetric absorptive microsampling (VAMS), a minimally invasive and easy to handle blood sampling technique, for sample collection is examined. During routine visits, blood samples are collected and sent to bioanalytical laboratories. Venous and VAMS blood samples are collected in the first study phase to facilitate home-based capillary blood sampling in the second study phase. Within one week, the drug plasma concentrations are measured, interpreted, and reported back to the physician. Patients report their drug intake and toxicity using PRO-CTCAE-based questionnaires in dedicated diaries. Ultimately, the ON-TARGET study aims to develop a nationwide infrastructure for TDM for oral anticancer drugs. [ABSTRACT FROM AUTHOR]