relationship between mutations in dna sequences loci coding pre mirnas and genes related to biogenesis of sncrnas with mirna expression in endometrial carcinoma tissues

Endometrial cancer (EC) is the most common and lethal gynaecological cancer type in Europe and in North America. Frequently EC arises more in the corpus proper and manifests as round, polypoid expansile masses, but it may also originate in the lower uterine segment or spread in endometrium with necrosis and hemorrhage. The analysis was performed using a custom panel containing all DNA sequences loci coding pre-miRNAs and genes related to biogenesis and regulation of sncRNAs in normal and tumor tissues extracted from 6 unrelated patients with endometrial carcinoma. The identified variations were correlated with mature miRNAs differentially expressed in the same normal and tumor endometrial tissues. The comparison analysis confirmed the high degree of cellular and genetic intratumoral heterogeneity with a temporal and spatial miRNA expression distribution in association with genomic variants identified. The classification of specific DNA mutations, onto the loci identified, should be suitable to characterize possible instability genome regions and help classification of tumors to ameliorate the clinical management of patients affected by endometrial carcinoma

Genomic epidemiology of the main SARS‐CoV‐2 variants in Italy between summer 2020 and winter 2021

Since the beginning of the pandemic, SARS-CoV-2 has shown a great genomic variability, resulting in the continuous emergence of new variants that has made their global monitoring and study a priority. This work aimed to study the genomic heterogeneity, the temporal origin, the rate of viral evolution and the population dynamics of the main circulating variants (20E.EU1, Alpha and Delta) in Italy, in August 2020-January 2022 period. For phylogenetic analyses, three datasets were set up, each for a different main lineage/variant circulating in Italy in that time including other Italian and International sequences of the same lineage/variant, available in GISAID sampled in the same times. The international dataset showed 26 (23% Italians, 23% singleton, 54% mixed), 40 (60% mixed, 37.5% Italians, 1 singleton) and 42 (85.7% mixed, 9.5% singleton, 4.8% Italians) clusters with at least one Italian sequence, in 20E.EU1 clade, Alpha and Delta variants, respectively. The estimation of tMRCAs in the Italian clusters (including >70% of genomes from Italy) showed that in all the lineage/variant, the earliest clusters were the largest in size and the most persistent in time and frequently mixed. Isolates from the major Italian Islands tended to segregate in clusters more frequently than those from other part of Italy. The study of infection dynamics showed a positive correlation between the trend in the effective number of infections estimated by BSP model and the R-e curves estimated by birth-death skyline plot. The present work highlighted different evolutionary dynamics of studied lineages with high concordance between epidemiological parameters estimation and phylodynamic trends suggesting that the mechanism of replacement of the SARS-CoV-2 variants must be related to a complex of factors involving the transmissibility, as well as the implementation of control measures, and the level of cross-immunization within the population