Hormonal biomarkers remain prognostically relevant within the molecular subgroups in endometrial cancer.

Objective: The prognostic relevance of hormonal biomarkers in endometrial cancer (EC) has been well-established. A refined three-tiered risk model for estrogen receptor (ER)/progesterone receptor (PR) expression was shown to improve prognostication. This has not been evaluated in relation to the molecular subgroups.

Cervicovaginal specimen biomarkers for early detection of ovarian and endometrial cancer: A review.

Background: In the last decade, technical innovations have resulted in the development of several minimally invasive diagnostic cancer tools. Within women at high risk of developing ovarian or endometrial cancer (EC) due to hereditary cancer syndrome, there is an urgent need for minimally invasive and patient-friendly methods to detect ovarian cancer and EC at an early stage.

Materials And Methods: We performed a systematic search of studies using DNA methylation or mutation analysis, microbiome, or proteomics performed on cervicovaginal specimens (smear, swab, or tampon) intended to detect ovarian and EC published until January 2024.

Hormone Receptor Expression and Activity for Different Tumour Locations in Patients with Advanced and Recurrent Endometrial Carcinoma.

Background: Response to hormonal therapy in advanced and recurrent endometrial cancer (EC) can be predicted by oestrogen and progesterone receptor immunohistochemical (ER/PR-IHC) expression, with response rates of 60% in PR-IHC > 50% cases. ER/PR-IHC can vary by tumour location and is frequently lost with tumour progression. Therefore, we explored the relationship between ER/PR-IHC expression and tumour location in EC.

Feasibility of Introducing a Prehabilitation Program into the Care of Gynecological Oncology Patients-A Single Institution Experience.

Prehabilitation is an upcoming strategy to optimize patient's functional capacity, nutritional status, and psychosocial well-being in order to reduce surgical complications and enhance recovery. This study aims to assess the feasibility of implementing a multimodal prehabilitation program into the standard care of gynecological oncology patients at an academic hospital in terms of recruitment, adherence, and safety, which were assessed by the number of patients eligible, recruitment rate, participation rate, and adherence to individual modalities. Data were derived from the F4S PREHAB trial, a single-center stepped-wedge trial implementing a multimodal prehabilitation program among various surgical specialties.

Is Cardiopulmonary Exercise Testing Predictive of Surgical Complications in Patients Undergoing Surgery for Ovarian Cancer?

Preoperative cardiopulmonary exercise testing (CPET) provides an objective assessment of functional capability. In other intra-abdominal surgical specialties, CPET outcomes are predictive of operative morbidity. However, in ovarian cancer surgery, its predictive value remains unknown.

Barriers to and facilitators of a healthy lifestyle for patients with gynecological cancer: a systematic review of qualitative and quantitative research with healthcare providers and patients.

The prevalence of an unhealthy lifestyle among patients with gynecological cancer is high and associated with increased risk of all-cause mortality. Although lifestyle changes have the potential to improve outcomes, lifestyle counseling is not routinely integrated into standard care. This review explores research on the barriers to and facilitators of both the promotion of healthy lifestyles by healthcare providers (HCPs) and healthy lifestyle changes by patients with gynecological cancer.

Incidence of inguinofemoral lymph node metastases at the first local recurrence of vulvar cancer: a Dutch nationwide study.

Background: Up to 40% of vulvar cancer patients present with local recurrence within 10 years of follow-up. An inguinofemoral lymphadenectomy (IFL) is indicated if not performed at primary treatment. The incidence and risk factors for lymph node metastases (LNM) at first local recurrence, however, are unclear.

The impact of adipose tissue distribution on endometrial cancer: a systematic review.

Introduction: Endometrial cancer (EC) is the most common gynecological cancer with a rising incidence, attributed to advanced life expectancy and obesity. Adipose tissue (AT) is an important endocrine organ, and its metabolic activity is affected by the different anatomical distribution or locations. AT distribution influences a number of diseases.

Pure and mixed clear cell carcinoma of the endometrium: A molecular and immunohistochemical analysis study.

Background: Uterine clear cell carcinoma (CCC) consists of either pure clear cell histology but can also display other histological components (mixed uterine CCCs). In this study, the molecular and immunohistochemical background of pure and mixed uterine CCC was compared. Secondly, it was evaluated whether histological classification and molecular background affected clinical outcome.

Improving Endometrial cancer assessment by combining the new techniqUe of GENomic profiling with surgical Extra uterIne disEase assessment (EUGENIE).

Background: The molecular classification of endometrial cancer revolutionized our knowledge of its biology but so far has not affected our surgical approach. The exact risk of extra-uterine metastasis and hence the type of surgical staging for each of the four molecular subgroups are currently unknown.

Primary Objective: To determine the association between molecular classification and disease stage.

Relevance of Molecular Profiling in Patients With Low-Grade Endometrial Cancer.

Importance: Patients with low-grade (ie, grade 1-2) endometrial cancer (EC) are characterized by their favorable prognosis compared with patients with high-grade (ie, grade 3) EC. With the implementation of molecular profiling, the prognostic relevance of tumor grading might lose attention. As most patients present with low-grade EC and have an excellent outcome, the value of molecular profiling for these patients is unclear.

Diagnostic accuracy of mutational analysis along the Müllerian tract to detect ovarian cancer.

Objective: Ovarian cancer is known for its poor prognosis, which is mainly due to the lack of early symptoms and adequate screening options. In this study we evaluated whether mutational analysis in cervicovaginal and endometrial samples could assist in the detection of ovarian cancer.

Methods: In this prospective multicenter study, we included patients surgically treated for either (suspicion of) ovarian cancer or for a benign gynecological condition (control group).

Integrated Biomarker Analysis Reveals L1CAM as a Potential Stratification Marker for No Specific Molecular Profile High-Risk Endometrial Carcinoma.

Histopathologic assessment of high-risk endometrial cancer (EC) suffers from intersubject variability and poor reproducibility. The pragmatic classification in four molecular subgroups helps to overcome these limits, showing a significant prognostic value. The "no specific molecular profile" (NSMP) is the most heterogeneous EC subgroup, requiring further characterization to better guide its clinical management.

The effect of progestin therapy in advanced and recurrent endometrial cancer: A systematic review and meta-analysis.

Background: Fifteen percent of patients with endometrial cancer (EC) have advanced stage disease or develop a recurrence. Progestins have been applied as systemic treatment for decades, but there is limited evidence on response prediction with biomarkers and toxicity.

Objectives: To review the response and toxicity of progestin therapy and stratify response to progesterone receptor (PR) expression and tumour grade.

External validation study of endometrial cancer preoperative risk stratification model (ENDORISK).

Introduction: Among industrialized countries, endometrial cancer is a common malignancy with generally an excellent outcome. To personalize medicine, we ideally compile as much information as possible concerning patient prognosis prior to effecting an appropriate treatment decision. Endometrial cancer preoperative risk stratification (ENDORISK) is a machine learning-based computational Bayesian networks model that predicts lymph node metastasis and 5-year disease-specific survival potential with percentual probability.

Improved preoperative risk stratification in endometrial carcinoma patients: external validation of the ENDORISK Bayesian network model in a large population-based case series.

Purpose: Preoperative risk stratification of newly diagnosed endometrial carcinoma (EC) patients has been hindered by only moderate prediction performance for many years. Recently ENDORISK, a Bayesian network model, showed high predictive performance. It was the aim of this study to validate ENDORISK by applying the model to a population-based case series of EC patients.

Prehabilitation to Improve Outcomes of Patients with Gynaecological Cancer: A New Window of Opportunity?

The literature evaluating the effect of prehabilitation programmes on postoperative outcomes and quality of life of patients with gynaecological cancer undergoing surgery was reviewed. Databases including Pubmed, Medline, EMBASE (Ovid) and PsycINFO were systematically searched to identify studies evaluating the effect of prehabilitation programmes on patients with gynaecological cancer. Both unimodal and multimodal prehabilitation programmes were included encompassing physical exercise and nutritional and psychological support.

Cytoreductive surgery in recurrent endometrial cancer: A new paradigm for surgical management?

The objective was to review the literature on the effect of surgical cytoreduction in recurrent endometrial cancer on survival, and identify baseline and clinical factors associated with improved survival. In addition, we sought to assess the effect of previous radiotherapy on surgical achievement. This review was performed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines.