Endometrial cancer (EC) is the most common gynecological tumor in high-income countries, and its incidence has increased over time. The most critical risk factor for EC is the long-term unopposed exposure to increased estrogens both exogenous and endogenous. Machine learning can be used as a promising tool to resolve longstanding challenges and support identification of the risk factors and their correlations before the clinical trials and make them more focused. In this paper we present the results of the research of the correlation analysis of Endometrial cancer risk factors. The study was performed with EC patients of the Almazov center in Saint-Petersburg, Russia. All women involved in the current study underwent radical surgical intervention due to EC. After initial cancer treatment, they were referred to the Almazov center outpatient specialists for follow-up visits. Many of them were readmitted of the inpatient clinic due to relapse. We extracted a variety of parameters related to lifestyle, dietary habits, socioeconomic, and reproductive features from the inpatient and outpatient databases of Almazov center. The medical records of the women with enough data were included in the study. Prediction of Progression-free survival (PFS) and overall survival (OS) were analyzed respectively. The AUC of ROC was calculated for PFS = 0.93 and for OS = 0.94.

Download full-text PDF

Source
http://dx.doi.org/10.3233/SHTI210597DOI Listing

Publication Analysis

Top Keywords

endometrial cancer
12
almazov center
12
risk factors
8
lifestyle cancer
4
cancer survival
4
survival predictors
4
predictors influence
4
influence vegetarian
4
vegetarian diet
4
diet relapse
4

Similar Publications

Lynch syndrome is a genetic condition predisposing to cancer, particularly colorectal cancer and endometrial cancer, due to germline mutations in MisMatch Repair genes. More rarely, Lynch syndrome is the result of a constitutional promoter methylation. This review summarizes the current knowledge about the role of this epigenetic mechanism in the Lynch syndrome.

View Article and Find Full Text PDF

Objectives: To compare the efficacy and safety of three different treatment options (vaginal estriol, vaginal dehydroepiandrosterone (DHEA), and ospemifene) for treating genitourinary syndrome of menopause (GSM) in breast cancer and gynecologic cancer survivors.

Methods: A retrospective comparative analysis was performed among 185 cancer survivors (including breast, endometrial, ovarian, cervical, and vulvar cancer) affected by GSM. Women were divided into three groups according to the prescribed therapy (vaginal estriol, vaginal DHEA, and ospemifene).

View Article and Find Full Text PDF

This study aimed to assess the causal relationship between lipidome and female reproductive diseases (FRDs) using an advanced series of Mendelian randomization (MR) methods. This study utilized genome-wide association study (GWAS) summary statistics encompassing 179 lipidomes and six prevalent FRDs, namely polycystic ovary syndrome (PCOS), endometriosis, uterine fibroid, female infertility, uterine endometrial cancer, and ovarian cancer. The two-sample MR (TSMR) approach was employed to investigate the causal relationships, with further validation using false discovery rate (FDR) and multivariable MR (MVMR) methods.

View Article and Find Full Text PDF

To analyze the clinical significance of molecular classification and hereditary phenotype in endometrial carcinoma (EC) based on high throughput sequencing (NGS). 97 EC samples were collected retrospectively from December 2019 to October 2022 in China-Japan Friendship Hospital. NGS technique was used to analyze the molecular classification, POLE hypermutation, microsatellite high Instability/mismatch repair dysfunction (MSI-H/MMRd), P53 protein abnormality (P53 abn), and non-specific molecular profile (NSMP).

View Article and Find Full Text PDF

Mismatch repair (MMR) and microsatellite instability (MSI) phenotypes across solid tumors: A comprehensive cBioPortal study on prevalence and prognostic impact.

Eur J Cancer

January 2025

Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy. Electronic address:

Mismatch repair deficiency (MMR-d) and microsatellite instability (MSI) are prognostic and predictive biomarkers in oncology. Current testing for MMR/MSI relies on immunohistochemistry (IHC) for MMR proteins and molecular assays for MSI detection. This combined diagnostic strategy, however, lacks tumor specificity and does not account for gene variants.

View Article and Find Full Text PDF

Want 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!