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[Clinicopathologic study and immunohistochemistry comparison of Pax2, p53 and Ki-67 in low- and high-grade ovarian serous carcinomas].

Authors: Wen Tao Yang; Rui Bi; Lin Yu; Xu Xia Shen;

[Clinicopathologic study and immunohistochemistry comparison of Pax2, p53 and Ki-67 in low- and high-grade ovarian serous carcinomas].

Abstract

To 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.A 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.(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).The 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.

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Keywords

Ovarian Neoplasms, Ovary, PAX2 Transcription Factor, Membrane Proteins, Middle Aged, Immunohistochemistry, Disease-Free Survival, Cystadenocarcinoma, Serous, Survival Rate, Ki-67 Antigen, CA-125 Antigen, Humans, Female, Neoplasm Grading, Tumor Suppressor Protein p53, Follow-Up Studies, Neoplasm Staging

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average