BACKGROUND: Several molecular-genetic alterations in endometrial cancers, including aneuploidy and aberrant expression of p53 and HER-2/neu, have been associated with poor prognosis. To determine the importance of molecular-genetic factors relative to more traditional surgical-pathologic prognostic factors, a multivariable analysis was performed. METHODS: Immunohistochemical staining for p53, HER-2/neu, estrogen receptor, progesterone receptor, and epidermal growth factor receptor was performed on frozen sections from 100 primary endometrial cancers. DNA ploidy was determined using computerized image analysis of Feulgen-stained touch preparations. In addition, information regarding surgical-pathologic features of the cancers was obtained. Univariable analysis was performed followed by multivariable analysis using Cox's proportional hazards model to identify variables predictive of poor prognosis. RESULTS: With univariable analysis, race, histologic type, stage, grade, myometrial invasion, estrogen receptor, progesterone receptor, ploidy, p53 and HER-2/neu were predictive of the presence of persistent or recurrent disease. In the multivariable analysis, only International Federation of Gynecology and Obstetrics stage (P = 0.005), grade (P = 0.005), myometrial invasion (P = 0.024), and ploidy (P = 0.028) were significant. CONCLUSIONS: Among molecular-genetic prognostic factors, DNA ploidy was the most strongly predictive of persistent or recurrent disease.
BACKGROUND: Several molecular-genetic alterations in endometrial cancers, including aneuploidy and aberrant expression of p53 and HER-2/neu, have been associated with poor prognosis. To determine the importance of molecular-genetic factors relative to more traditional surgical-pathologic prognostic factors, a multivariable analysis was performed. METHODS: Immunohistochemical staining for p53, HER-2/neu, estrogen receptor, progesterone receptor, and epidermal growth factor receptor was performed on frozen sections from 100 primary endometrial cancers. DNA ploidy was determined using computerized image analysis of Feulgen-stained touch preparations. In addition, information regarding surgical-pathologic features of the cancers was obtained. Univariable analysis was performed followed by multivariable analysis using Cox's proportional hazards model to identify variables predictive of poor prognosis. RESULTS: With univariable analysis, race, histologic type, stage, grade, myometrial invasion, estrogen receptor, progesterone receptor, ploidy, p53 and HER-2/neu were predictive of the presence of persistent or recurrent disease. In the multivariable analysis, only International Federation of Gynecology and Obstetrics stage (P = 0.005), grade (P = 0.005), myometrial invasion (P = 0.024), and ploidy (P = 0.028) were significant. CONCLUSIONS: Among molecular-genetic prognostic factors, DNA ploidy was the most strongly predictive of persistent or recurrent disease.
Authors: Meenakshi Singh; Kathleen M Darcy; William E Brady; Rashna Clubwala; Zachary Weber; Jon V Rittenbach; Ali Akalin; Charles W Whitney; Richard Zaino; Nilsa C Ramirez; Kimberly K Leslie Journal: Gynecol Oncol Date: 2011-08-03 Impact factor: 5.482
Authors: Konstantin J Dedes; Daniel Wetterskog; Alan Ashworth; Stan B Kaye; Jorge S Reis-Filho Journal: Nat Rev Clin Oncol Date: 2011-01-11 Impact factor: 66.675
Authors: John I Risinger; Jay Allard; Uma Chandran; Roger Day; Gadisetti V R Chandramouli; Caela Miller; Christopher Zahn; Julie Oliver; Tracy Litzi; Charlotte Marcus; Elizabeth Dubil; Kevin Byrd; Yovanni Cassablanca; Michael Becich; Andrew Berchuck; Kathleen M Darcy; Chad A Hamilton; Thomas P Conrads; G Larry Maxwell Journal: Front Oncol Date: 2013-06-17 Impact factor: 6.244