Publications by authors named "L Mariuzzi"
Placental insufficiency often correlates with fetal growth restriction (FGR), a condition that has both short- and long-term effects on the health of the newborn. In our study, we analyzed placental tissue from infants with FGR and from infants classified as small for gestational age (SGA) or appropriate for gestational age (AGA), performing comprehensive analyses that included transcriptomics and metabolomics. By examining villus tissue biopsies and 3D trophoblast organoids, we identified significant metabolic changes in placentas associated with FGR.
View Article and Find Full Text PDFObjective: Molecular features are essential for estimating the risk of recurrence and impacting overall survival in patients with endometrial cancer. Additionally, the surgical procedure itself could be personalized based on the molecular characteristics of the tumor. This study aims to assess the feasibility of obtaining reliable molecular classification status from biopsy specimens collected during hysteroscopy to better modulate the appropriate surgical treatment.
View Article and Find Full Text PDFObjective: The Moon has a noticeable influence on the Earth due to its gravity, the most visible manifestation of which are tides. We aimed to see if the Moon's daily cycle, like the Sun's, affects the prevalence and incidence of childbirth.
Methods: In this retrospective cohort study, we examined all deliveries at the Academic Hospital of Udine between 2001 and 2019.
Article Synopsis
- The study aimed to validate the Betella algorithm specifically for endometrial cancer patients, highlighting its impact on risk assessment according to 2020 ESGO/ESTRO/ESP guidelines.
- Conducted between March 2021 and March 2023, the research analyzed 102 patients’ molecular characteristics including p53 and mismatch repair protein levels, finding that 97% had complete analyses, which altered risk classifications for 11.1% of patients.
- The validation of the Betella algorithm allows for more accurate risk classification and can optimize resource use in treatment by reducing unnecessary molecular testing in a significant number of cases.
Article Synopsis
- A study assessed the role of abnormal p53 expression in 370 patients with low-risk endometrial cancer (EC), discovering that 4.9% had p53 abnormalities, which could indicate a higher recurrence risk.
- Among the patients, 3.6% experienced recurrences, with those exhibiting abnormal p53 expression having a 5.23 times higher odds of recurrence compared to those with normal p53.
- Although there was no significant difference in overall survival between the two groups, the findings suggest that molecular classification for p53 abnormalities may help tailor treatment in future studies of low-risk EC patients.