Impact of Angiogenic and Cardiovascular Biomarkers for Prediction of Placental Dysfunction in the First Trimester of Pregnancy.

Algorithms for first-trimester prediction of pre-eclampsia usually include maternal risk factors, blood pressure, placental growth factor (PlGF), and uterine artery Doppler pulsatility index. However, these models lack sensitivity for the prediction of late-onset pre-eclampsia and other placental complications of pregnancy, such as small for gestational age infants or preterm birth. The aim of this study was to assess the screening performance of PlGF, soluble fms-like tyrosine kinase-1 (sFlt-1), N-terminal pro-brain natriuretic peptide (NT-proBNP), uric acid, and high-sensitivity cardiac troponin T (hs-TnT) in the prediction of adverse obstetric outcomes related to placental insufficiency. This retrospective case-control study was based on a cohort of 1390 pregnant women, among which 210 presented pre-eclampsia, small for gestational age infants, or preterm birth. Two hundred and eight women with healthy pregnancies were selected as controls. Serum samples were collected between weeks 9 and 13 of gestation, and maternal serum concentrations of PlGF, sFlt-1, NT-proBNP, uric acid, and hs-TnT were measured. Multivariate regression analysis was used to generate predictive models combining maternal factors with the above-mentioned biomarkers. Women with placental dysfunction had lower median concentrations of PlGF (25.77 vs. 32.00 pg/mL; p < 0.001), sFlt-1 (1212.0 vs. 1363.5 pg/mL; p = 0.001), and NT-proBNP (51.22 vs. 68.71 ng/L; p < 0.001) and higher levels of uric acid (193.66 µmol/L vs. 177.40 µmol/L; p = 0.001). There was no significant difference between groups regarding the sFlt-1/PlGF ratio. Hs-TnT was not detected in 70% of the maternal serums analyzed. Altered biomarker concentrations increased the risk of the analyzed complications both in univariate and multivariate analyses. The addition of PlGF, sFlt-1, and NT-proBNP to maternal variables improved the prediction of pre-eclampsia, small for gestational age infants, and preterm birth (area under the curve: 0.710, 0.697, 0.727, and 0.697 vs. 0.668, respectively). Reclassification improvement was greater in maternal factors plus the PlGF model and maternal factors plus the NT-p roBNP model (net reclassification index, NRI: 42.2% and 53.5%, respectively). PlGF, sFlt-1, NT-proBNP, and uric acid measurements in the first trimester of pregnancy, combined with maternal factors, can improve the prediction of adverse perinatal outcomes related to placental dysfunction. In addition to PlGF, uric acid and NT-proBNP are two promising predictive biomarkers for placental dysfunction in the first trimester of pregnancy.

Uniparental disomy may be associated with microsatellite instability in acute myeloid leukemia (AML) with a normal karyotype.

The discovery of underlying genetic lesions helps to better understand the mechanisms of leukemogenesis and identify prognostic subgroups. Recent insights have allowed normal karyotype acute myeloid leukemia (AML) to be split into many molecular entities according to the genetic status of FLT3, NPM, CEBPA and MLL. Genome-wide single nucleotide polymorphism analysis was performed on 22 well-characterised AML patients with a normal karyotype. At the same time, microsatellite instability was investigated using a commonly used panel of polymorphic markers. Loss of heterozygosity (LOH) was found in 22.7% of cases without an associated copy number variation, suggesting that LOH represented an acquired partial uniparental disomy (aUPD) event. Three UPD+ cases harboured NPM mutations, associated with FLT3-ITD in two of them. An additional UPD patient had mutations both in CEBPA and in WT1. MSI was present at three loci in the three UPD+ cases (60%), whereas single locus MSI was present in three UPD- patients (17%). MSI involved the polymorphic PIG3 promoter in two UPD+ cases. It remains to be tested whether UPD and MSI association marks a common pathway of leukemogenesis.

Epigenetic-based treatments emphasize the biologic differences of core-binding factor acute myeloid leukemias.

Acute myeloid leukemia (AML) is a heterogeneous group of disorders characterized by an abnormal proliferation of the myeloid precursors and a maturation block. The most common chromosomal lesions in AML are the t(8;21) and inv(16). To better understand the leukemogenic mechanism of these fusion proteins, we performed gene expression studies in samples from (8;21), AML1 mutated and inv(16) patients, as well as from the Kasumi-1 cell line and a U937 cell line expressing the AML1-ETO fusion gene. To assess the influence of associated epigenetic lesions, we performed gene expression studies in Kasumi-1 cells and cells extracted from an Inv(16) patient, both treated with demethylating and HDAC inhibitor agents. Shared deregulated genes in the different types of core-binding factor leukemias were identified. We found a tight link between Inv(16) and mutant AML1 samples. Furthermore, some of the genes deregulated by the leukemogenic process reverted to their normal expression with demethylating and HDAC inhibitor treatment, highlighting the role of chromatin remodeling processes in AML.