Endometrial cancer is the most common gynecological cancers in developed countries. Many of the mechanisms involved in its initiation and progression remain unclear. Analysis providing comprehensive data on the genome, transcriptome, proteome, and epigenome could help in selecting molecular markers and targets in endometrial cancer. Multiomics approaches can reveal disturbances in multiple biological systems, giving a broader picture of the problem. However, they provide a large amount of data that require processing and further integration prior to analysis. There are several repositories of multiomics datasets, including endometrial cancer data, as well as portals allowing multiomics data analysis and visualization, including Oncomine, UALCAN, LinkedOmics, and miRDB. Multiomics approaches have also been applied in endometrial cancer research in order to identify novel molecular markers and therapeutic targets. This review describes in detail the latest findings on multiomics approaches in endometrial cancer.
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http://dx.doi.org/10.3390/ijms23031237 | DOI Listing |
J Transl Med
January 2025
School of Clinical Laboratory Science, Guizhou Medical University, Guiyang, Guizhou, 550000, China.
Background: Human kinesin family member 11 (KIF11) plays a vital role in regulating the cell cycle and is implicated in the tumorigenesis and progression of various cancers, but its role in endometrial cancer (EC) is still unclear. Our current research explored the prognostic value, biological function and targeting strategy of KIF11 in EC through approaches including bioinformatics, machine learning and experimental studies.
Methods: The GSE17025 dataset from the GEO database was analyzed via the limma package to identify differentially expressed genes (DEGs) in EC.
J Cancer Educ
January 2025
II Department of Obstetrics and Gynecology, Medical University of Warsaw, Karowa 2 St, 00-315, Warsaw, Poland.
Advances in gynaecologic oncology research lead to continuous updates in clinical guidelines. However, undergraduate medical education often lacks in-depth coverage of recent developments, limiting students' preparedness for evidence-based management of gynaecological cancers. This study aimed to bridge the educational gap by integrating case-based analyses of practice-changing studies into the undergraduate obstetrics and gynaecology course.
View Article and Find Full Text PDFJ Natl Cancer Inst
January 2025
School of Public Health, University of Queensland, Brisbane, QLD 4006, Australia.
Background: Use of long-acting, reversible contraceptives has increased over the past 20 years, but an understanding of how they could influence cancer risk is limited.
Methods: We conducted a nested case-control study among a national cohort of Australian women (n = 176 601 diagnosed with cancer between 2004 and 2013; 882 999 matched control individuals) to investigate the associations between the levonorgestrel intrauterine system, etonogestrel implants, depot-medroxyprogesterone acetate and cancer risk and compared these results with the oral contraceptive pill. We used conditional logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI).
Cochrane Database Syst Rev
June 2024
Women and Children's Services, West Hertfordshire Hospitals NHS Trust, Watford, UK.
This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To assess the diagnostic accuracy of endometrial sampling with histology in the diagnosis of endometrial cancer in women with postmenopausal bleeding and thickened endometrium on ultrasound. Diagnosis will be verified by the reference standards, hysteroscopy with histology, obtained by targeted (such as grasp biopsy of the endometrium or resection of focal pathology) or global sampling (with dilation and curettage), and histology of hysterectomy specimens.
View Article and Find Full Text PDFAm J Cancer Res
December 2024
Department of Reproductive Medicine, The First Affiliated Hospital, Jinan University Guangzhou 510000, Guangdong, China.
This study aims to construct and optimize risk prediction models for lymph node metastasis (LNM) in endometrial carcinoma (EC) patients, thus improving the identification of patients at high risk of LNM and further providing accurate support for clinical decision-making. This retrospective analysis included 541 cases of EC treated at The First Affiliated Hospital, Jinan University between January 2017 and January 2022. Various clinical and pathological variables were incorporated, including age, body mass index (BMI), pathological grading, myometrial invasion, lymphovascular space invasion (LVSI), estrogen receptor (ER) and progesterone receptor (PR) levels, and tumor size.
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