Background: Semaphorin 5A (SEMA5A) functions not only in the nervous system but also in cancer transformation where its role has not yet been sufficiently studied and described.

Objective: The aim of the study was to determine the changes in SEMA5A expression in endometrial cancer at various degrees of its differentiation (G1-G3) compared to control.

Materials And Methods: The study group consisted of 45 patients with endometrial cancer at various grades: G1, 17; G2, 15; G3, 13. The control consisted of 15 women without neoplastic changes in the routine gynecological examination. The statistical analysis of immunohistochemical assessment of SEMA5A level was carried out using the Statistica 12 program based on the Kruskal-Wallis test and Dunn's post-hoc test (p<0.05).

Results: The expression of SEMA5A (optical density) was observed in the control group (Me = 103.43) and in the study group (G1, Me = 140.72; G2, Me = 150.88; G3, Me = 173.77). Differences in expression between each grade and control and between individual grades turned out to be statistically significant (p<0.01). The protein level of SEMA5A expression increased with the decreasing degree of endometrial cancer differentiation.

Conclusion: In our research, we indicated the overexpression of SEMA5A protein in endometrial cancer. It is a valuable starting point for further consideration of the role of SEMA5A as a new supplementary molecular marker in endometrial cancer.

Download full-text PDF

Source
http://dx.doi.org/10.2174/1389201020666190911113611DOI Listing

Publication Analysis

Top Keywords

endometrial cancer
12
assessment sema5a
8
sema5a concentration
4
concentration profile
4
profile changes
4
changes molecular
4
molecular marker
4
marker endometrial
4
cancer
4
cancer background
4

Similar Publications

A risk prediction model for endometrial hyperplasia/endometrial carcinoma in premenopausal women.

Sci Rep

January 2025

Department of Gynecology, Chongqing Ninth People's Hospital, 69, Jialing Village, Beibei District, Chongqing, 400700, China.

This study investigated the risk factors for endometrial hyperplasia (EH) and endometrial carcinoma (EC) in premenopausal women. The goal was to establish a nomogram model to predict the risk of EH/EC and quantitative standards in clinical practice, which improved the clinical prognosis of EH/EC patients. Data were collected from premenopausal women with suspected EH/EC who underwent hysteroscopic endometrial biopsy.

View Article and Find Full Text PDF

Uterine corpus endometrial carcinoma (UCEC) is a significant cause of cancer-related mortality among women worldwide. Prior research has demonstrated an association between cyclin-dependent kinase inhibitor 2 A (CDKN2A) and various tumors. As a member of the INK4 family, CDKN2A is involved in cell cycle regulation by controlling CDKs.

View Article and Find Full Text PDF

Objective Endometrial lesions are a frequent complication following breast cancer, and current diagnostic tools have limitations. This study aims to develop a machine learning-based nomogram model for predicting the early detection of endometrial lesions in patients. The model is designed to assess risk and facilitate individualized treatment strategies for premenopausal breast cancer patients.

View Article and Find Full Text PDF

High correlation between Ki-67 expression and a novel perfusion MRI biomarker diffusion-derived vessel density (DDVD) in endometrial carcinoma.

Magn Reson Imaging

January 2025

Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy Tianjin, Tianjin, China. Electronic address:

Objective: This study aimed to investigate the feasibility of diffusion-derived vessel density (DDVD) in characterizing tumor microvasculature in endometrial carcinoma (EC), and to explore the correlations with Ki-67 proliferation status and histological type based on DDVD values.

Methods: There were in total 81 EC patients. There were 64 cases of non-aggressive histological type, and 17 cases of aggressive histological type.

View Article and Find Full Text PDF

Endometrial cancer (EC) is a worldwide gynecologic malignancies, with a remarking increase of incidence and mortality rates in recent years. Growing evidence indicates that glucose metabolism reprogramming is the most representative metabolic signature of tumor cells and exploring its modulatory function in EC development will promote identifying potential EC therapeutic targets. IGFBP2 is an insulin-like growth factor binding protein which is closely associated with a variety of metabolic diseases.

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!