European Journal of Gynaecological Oncology (EJGO) is published by IMR Press from Volume 40 Issue 1 (2019). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on imrpress.com as a courtesy and upon agreement with S.O.G.
The relationship between mutant p53 gene, DNA contents and conventional clinicopathological prognostic variables in cases with endometrial carcinoma
Purpose of investigation: To determine whether p53 expression and DNA ploidy are related to traditional prognostic indicators in patients with endometrial cancer. Methods: Tumor material (n = 136) was analyzed regarding flow cytometric DNA ploidy and immunohistochemical p53 expression. Pearson's correlation, Fisher's exact test, Cox's regression analysis and the Kaplan-Meier survival test were used, as appropriate. Results: PS3 overexpression and DNA ploidy were higher in patients with nonendometrioid histology, FIGO advanced stage, poor grade, positive peritoneal cytology, lymphovascular space invasion (LVSI) and lymph node involvement (LNI). Histologic subtype, stage, grade, LVSI, LNI, tumor recurrence and overall survival rate correlated with p53 and DNA ploidy. No association of depth of myometrial invasion and age with p53 and DNA ploidy was observed. P53 was related to DNA ploidy. Of the factors analyzed, histologic subtype and myometrial invasion were found to be most important independent determinants of recurrence. Utilizing survival as the endpoint for multivariate analysis, when considering p53 and DNA ploidy together, histologic subtype, stage, peritoneal cytology, LNI and DNA ploidy were independent prognostic indicators. Conclusion: p53 expression and DNA ploidy were related to histologic subtype, FIGO stage, grade, LVSI, LNI, peritoneal cytology, tumor recurrence and overall 5-year survival. As compared to p53, DNA ploidy was the stronger independent predictor factor for survival. Neither p53 nor DNA ploidy were significant independent factors for tumor recurrence when submitted to multivariate analysis in this study. However, since p53 or DNA ploidy were found to be significant factors in univariate analysis and were correlated with tumor recurrence, they could be useful factors in making prognoses.