1.Mucinous Adenocarcinoma Involving the Ovary: Comparative Evaluation of the Classification Algorithms using Tumor Size and Laterality.
Eun Sun JUNG ; Jeong Hoon BAE ; Ahwon LEE ; Yeong Jin CHOI ; Jong Sup PARK ; Kyo Young LEE
Journal of Korean Medical Science 2010;25(2):220-225
For intraoperative consultation of mucinous adenocarcinoma involving the ovary, it would be useful to have approaching methods in addition to the traditional limited microscopic findings in order to determine the nature of the tumors. Mucinous adenocarcinomas involving the ovaries were evaluated in 91 cases of metastatic mucinous adenocarcinomas and 19 cases of primary mucinous adenocarcinomas using both an original algorithm (unilateral > or =10 cm tumors were considered primary and unilateral <10 cm tumors or bilateral tumors were considered metastatic) and a modified cut-off size algorithm. With 10 cm, 13 cm, and 15 cm size cut-offs, the algorithm correctly classified primary and metastatic tumors in 82.7%, 87.3%, and 89.1% of cases and in 80.6%, 84.9%, and 87.1% of signet ring cell carcinoma (SRC) excluded cases. In total cases and SRC excluded cases, 98.0% and 97.2% of bilateral tumors were metastatic and 100% and 100% of unilateral tumors <10 cm were metastatic, respectively. In total cases and SRC excluded cases, 68.4% and 68.4% of unilateral tumors > or =15 cm were primary, respectively. The diagnostic algorithm using size and laterality, in addition to clinical history, preoperative image findings, and operative findings, is a useful adjunct tool for differentiation of metastatic mucinous adenocarcinomas from primary mucinous adenocarcinomas of the ovary.
Adenocarcinoma, Mucinous/*classification/pathology/secondary
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Adolescent
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Adult
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Aged
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*Algorithms
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Female
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Humans
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Middle Aged
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Neoplasm Staging
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Ovarian Neoplasms/*classification/mortality/pathology
2.Clinicopathologic study and immunohistochemistry comparison of Pax2, p53 and Ki-67 in low- and high-grade ovarian serous carcinomas.
Xu-xia SHEN ; Lin YU ; Rui BI ; Wen-tao YANG
Chinese Journal of Pathology 2011;40(8):511-516
OBJECTIVETo evaluate the two-tier system for the grading of ovarian serous carcinomas, and to analyze Pax2, p53, Ki-67 protein expression and their prognostic values for low- and high-grade ovarian serous carcinomas.
METHODSA total of 38 cases of low-grade and 100 cases of high-grade ovarian serous carcinomas were selected based on the two-tier grading system. Immunohistochemistry was used to detect Pax2, p53 and Ki-67 protein expression in all cases. Correlation of the two-tier system with immunohistochemical results and prognostic parameters were performed.
RESULTS(1) The overall survival, disease-free survival and 5-year survival rates were significantly higher in the low-grade serous carcinoma cases than in the high-grade cases (P < 0.05). (2) Significant differences in protein expressions were found between the low- and high-grade serous carcinomas. The high-grade serous carcinomas had a significantly higher expression level of p53 (55.0% vs 13.2%, P < 0.05) and Ki-67 (42.1% vs 13.7%, P < 0.05), while low-grade carcinomas had a significantly higher expression level of Pax2 (65.8% vs 13.0%, P < 0.05). (3) Pax2 positive cases had a significantly better overall survival and 5-year survival rates than Pax2 negative cases (P < 0.05). The expressions of p53 and Ki-67 were found to have little correlation with overall survival and disease-free survival (P > 0.05).
CONCLUSIONSThe two-tier system for the grading of ovarian serous carcinomas has a good prognostic value. There are significantly differences in expressions of Pax2, p53 and Ki-67 between low- and high-grade ovarian serous carcinomas. Compared with p53 and Ki-67, Pax2 is likely a better prognostic indicator for ovarian serous carcinoma.
CA-125 Antigen ; metabolism ; Cystadenocarcinoma, Serous ; classification ; metabolism ; mortality ; pathology ; Disease-Free Survival ; Female ; Follow-Up Studies ; Humans ; Immunohistochemistry ; Ki-67 Antigen ; metabolism ; Membrane Proteins ; metabolism ; Middle Aged ; Neoplasm Grading ; Neoplasm Staging ; Ovarian Neoplasms ; classification ; metabolism ; mortality ; pathology ; Ovary ; pathology ; PAX2 Transcription Factor ; metabolism ; Survival Rate ; Tumor Suppressor Protein p53 ; metabolism