Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889320 | PMC |
| http://dx.doi.org/10.1111/aogs.14499 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Mesonephric-like adenocarcinoma of the ovary: a case study.
J Surg Case Rep
January 2025
Department of Pathology of the National Institute of Oncology, Ibn Sina University Hospital Center, Allal Al Fassi Avenue, Rabat 10100, Morocco.
Mesonephric-like adenocarcinoma (MLA) is a rare and newly recognized subtype of ovarian and endometrial carcinomas, introduced in the 2020 World Health Organization Classification. This tumor likely originates from Müllerian-derived tissues and often mimics more common ovarian cancers, leading to frequent misdiagnosis. This case study details a 36-year-old woman who presented with urinary symptoms following a hysterectomy.
View Article and Find Full Text PDFAdvances in human umbilical cord mesenchymal stem cells-derived extracellular vesicles and biomaterial assemblies for endometrial injury treatment.
World J Stem Cells
January 2025
Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing 100730, China.
Endometrial injury caused by repeated uterine procedures, infections, inflammation, or uterine artery dysfunction can deplete endometrial stem/progenitor cells and impair regeneration, thereby diminishing endometrial receptivity and evidently lowering the live birth, clinical pregnancy, and embryo implantation rates. Currently, safe and effective clinical treatment methods or gene-targeted therapies are unavailable, especially for severe endometrial injury. Umbilical cord mesenchymal stem cells and their extracellular vesicles are characterized by their simple collection, rapid proliferation, low immunogenicity, and tumorigenicity, along with their involvement in regulating angiogenesis, immune response, cell apoptosis and proliferation, inflammatory response, and fibrosis, Therefore, these cells and vesicles hold broad potential for application in endometrial repair.
View Article and Find Full Text PDFRadical tumor resection of a relapsed high-grade endometrial stromal sarcoma with an extremely rare mutation: a case report.
AME Case Rep
November 2024
Third Department of Obstetrics and Gynecology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Background: Endometrial stromal sarcomas (ESS) are rare uterine mesenchymal tumors that histologically resemble endometrial stroma of functioning endometrium. The key characteristic of those tumors is the difficulty to diagnose preoperatively that leads to high rate of misdiagnosis. The aim of this case report is to present an extremely rare mutation of these already rare tumors and urge for more personalized therapies in the future.
View Article and Find Full Text PDFBayesian design of clinical trials with multiple time-to-event outcomes subject to functional cure.
J Biopharm Stat
January 2025
Department of Biostatistics, University of North Carolina, Chapel Hill, USA.
With the continuous advancement of medical treatments, there is an increasing demand for clinical trial designs and analyses using cure rate models to accommodate a plateau in the survival curve. This is especially pertinent in oncology, where high proportions of patients, such as those with melanoma, lung cancer, and endometrial cancer, exhibit usual life spans post-cancer detection. A Bayesian clinical trial design methodology for multivariate time-to-event outcomes with cured fractions is developed.
View Article and Find Full Text PDFPotential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer.
Sci Rep
January 2025
Department of Oncology, The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China.
Exploring the potential of advanced artificial intelligence technology in predicting microsatellite instability (MSI) and Ki-67 expression of endometrial cancer (EC) is highly significant. This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. A retrospective study included 156 EC patients who were subsequently categorized into MSI and Ki-67 groups.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!