Objective: The aim of this study is to compare the relationship between molecular classification and HALP score in endometrial cancer (EC).
Methods: Patients who were operated with the diagnosis of EC 2014 and 2024 were included in our study. 150 patients were included in the study.
This study aims to investigate the role of L1 cell adhesion molecule (L1CAM) in the prognostic assessment of endometrial cancers that have been depicted as having no specific molecular profile (NSMP) in molecular classification. This is a retrospective review of 150 patients who received the diagnosis of endometrial cancer and underwent surgery at the study center between January 2008 and January 2022. When evaluating L1CAM immunohistochemical staining, scoring was done according to the percentage of positivity in tumor cells.
View Article and Find Full Text PDFBackground: Lymphovascular space invasion (LVSI) and cytology are both independent and strong prognostic factors in endometrial cancer. This study aims to highlight the impact of LVSI and cytology positivity on prognosis, in addition to molecular classification.
Methods: A retrospective review was conducted on the records of 223 patients with endometrial cancer diagnosed between January 2011 and January 2021.
Purpose: Relationship between pathologic parameters, surgical parameters, or lymph node status with oncologic outcomes is not fully elucidated in endometrial cancer (EC). We want to investigate the molecular classification of uterine cancer in the Turkish population and its relationship between lymphadenectomy and lymph node metastasis.
Methods: In this study, 100 patients' clinical and pathologic data diagnosed with EC were analyzed.
Objective: To investigate depression and sexual function among pregnant and non-pregnant women throughout the COVID-19 pandemic.
Methods: A total of 188 women, 96 pregnant and 92 non-pregnant were included. The Beck Depression Inventory (BDI) and the Arizona Sexual Experience Scale (ASEX) were applied to the participants after obtaining sociodemographic data.