Mismatch repair-deficient (dMMR) endometrial cancer (EC) is an inflamed phenotype with poor outcomes when meeting high-risk criteria and limited treatment options in the adjuvant setting. We report protocol-prespecified subgroup analysis of patients with dMMR tumors from the phase III ENGOT-en11/GOG-3053/KEYNOTE-B21 study (ClinicalTrials.gov identifier: NCT04634877) in newly diagnosed, high-risk EC after surgery with curative intent.
View Article and Find Full Text PDFBackground: High-grade serous ovarian carcinoma (HGSOC) is the most common and aggressive subtype of epithelial ovarian carcinoma. It is primarily diagnosed at stage III or IV when the 5-year survival rate ranges between 20% and 40%. Here, we aimed to validate the hypothesis, based on HGSOC cell lines, that proposed the existence of two distinct groups of HGSOC cells with high and low oxidative phosphorylation (OXPHOS) metabolism, respectively, which are associated with their responses to glucose and glutamine withdrawal.
View Article and Find Full Text PDFBackground: International Federation of Gynaecology and Obstetrics (Fédération Internationale de Gynécologie et d'Obstétrique - FIGO) introduced a new staging system for endometrial carcinoma - FIGO 2023 - in June 2023.
Objective: The new staging system differs significantly from previous versions. The new system represents a significant departure from the traditional staging systems for other gynaecological cancers, as the definition of individual stages includes not only the traditional anatomical extent of the tumour, but also the molecular profile of the tumour and other histopathological parameters - histological type of tumour, tumour grade and the presence of substantial lymphovascular invasion.
Impaired telomere length (TL) maintenance in ovarian tissue may play a pivotal role in the onset of epithelial ovarian cancer (OvC). TL in either target or surrogate tissue (blood) is currently being investigated for use as a predictor in anti-OvC therapy or as a biomarker of the disease progression, respectively. There is currently an urgent need for an appropriate approach to chemotherapy response prediction.
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