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Histopathological Prognostic Factors for Endometrial Carcinoma.
M M Florescu1, M Dragomirescu1, A E Stepan2
1PhD student, Department of Pathology, University of Medicine and Pharmacy, Craiova.
Current Health Sciences Journal
|December 21, 2018
Summary
Prognostic factors like histological grade and tumor stage significantly correlate with myometrium and lymphovascular invasion in endometrial carcinoma patients. These pathological parameters are crucial for predicting outcomes in endometrial cancer.
Area of Science:
- Gynecologic Oncology
- Pathology
- Cancer Research
Background:
- Endometrial carcinoma is a common gynecologic malignancy.
- Identifying reliable prognostic factors is essential for patient management and treatment planning.
Purpose of the Study:
- To determine the incidence of prognostic factors in endometrial carcinoma.
- To investigate the relationship between prognostic factors (age, pTNM stage, histological grade, lymphovascular invasion, myometrium invasion) and patient outcomes.
Main Methods:
- Histological analysis of 50 endometrial carcinoma cases diagnosed between 2011-2014.
- Standard tissue processing: formalin fixation, paraffin embedding, and hematoxylin and eosin staining.
- Statistical analysis to assess associations between prognostic factors.
Main Results:
- Histological grading revealed 48% well-differentiated (G1), 34% moderately differentiated (G2), and 18% poorly differentiated (G3) carcinomas.
- Myometrium invasion was observed in 96% of cases, with 72% showing invasion into the external half.
- Significant associations were found between histological grade and myometrium/lymphovascular invasion, and between tumor stage and myometrium invasion/lymph node status.
Conclusions:
- Pathological parameters, including histological grade and tumor stage, are significant prognostic indicators in endometrial carcinoma.
- These findings underscore the importance of detailed pathological assessment for predicting patient prognosis.
- The study highlights strong correlations between tumor characteristics and invasion patterns, aiding in risk stratification.
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