Aim: To study the clinicopathological spectrum of malignant tumors of the uterine corpus in a tertiary care center and classify it according to the latest WHO classification. Methods: A 2 year study was conducted on 22 diagnosed cases of malignant tumors of uterine corpus. Retrospectively clinical and histopathological details were collected and analyzed. Results: In our study majority (40.90%, 9 of 22) cases belong to the age group of 51-60 years. Abnormal uterine bleeding was the most common clinical presentation. A large share (81.81%) of the tumours was of epithelial origin, followed by mixed and mesenchymal tumors. Nearly 94% of the epithelial tumours were Endometrioid Adenocarcinomas. Majority of the cases were at pT1a stage (42.1%) at the time of diagnosis, followed by pT1b stage (31.57%). Very few cases (21%) presented with nodal metastasis. All the cases with nodal metastasis showed Lymphovascular invasion in the tumor proper and were usually high grade tumors. Conclusion: The prognosis of the patients with malignant tumors of uterine corpus depends on stage, grade, myometrial invasion, tumor size, lymphovascular invasion etc. Clinical findings in these tumors are not specific, so Histopathological examination plays a vital role in diagnosing and assessing the prognosis of these tumors. Classifying these tumors according to the recently proposed molecular classification will aid in patient specific targeted therapy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.