scholarly journals Screening of the residual normal ovarian tissue adjacent to orthotopic epithelial ovarian carcinomas in nude mice

2014 ◽  
Vol 13 (2) ◽  
pp. 2978-2986 ◽  
Author(s):  
G.H. Zhu ◽  
S.T. Wang ◽  
M.Z. Yao ◽  
J.H. Cai ◽  
C.Y. Chen ◽  
...  
Keyword(s):  
Nude Mice ◽  
Ovarian Tissue ◽  
Ovarian Carcinomas ◽  
Normal Ovarian Tissue ◽  
Epithelial Ovarian Carcinomas

Differential expression of interleukins IL-13 and IL-15 in normal ovarian tissue and ovarian carcinomas

2004 ◽  
Vol 92 (3) ◽  
pp. 761-768 ◽  
Author(s):  
Daylene Ripley ◽  
Brenda Shoup ◽  
Andrew Majewski ◽  
Nasser Chegini
Keyword(s):  
Differential Expression ◽  
Ovarian Tissue ◽  
Ovarian Carcinomas ◽  
Normal Ovarian Tissue

scholarly journals Metabolomic Characterization of Ovarian Epithelial Carcinomas by HRMAS-NMR Spectroscopy

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
D. Ben Sellem ◽  
K. Elbayed ◽  
A. Neuville ◽  
F.-M. Moussallieh ◽  
G. Lang-Averous ◽  
...  
Keyword(s):  
Nmr Spectroscopy ◽  
Statistical Models ◽  
Ovarian Tissue ◽  
Ovarian Carcinomas ◽  
Metabolic Pattern ◽  
Borderline Tumors ◽  
Histological Types ◽  
Response To Chemotherapy ◽  
Hrmas Nmr ◽  
Epithelial Ovarian Carcinomas

Objectives. The objectives of the present study are to determine if a metabolomic study by HRMAS-NMR can (i) discriminate between different histological types of epithelial ovarian carcinomas and healthy ovarian tissue, (ii) generate statistical models capable of classifying borderline tumors and (iii) establish a potential relationship with patient's survival or response to chemotherapy.Methods. 36 human epithelial ovarian tumor biopsies and 3 healthy ovarian tissues were studied using1H HRMAS NMR spectroscopy and multivariate statistical analysis.Results. The results presented in this study demonstrate that the three histological types of epithelial ovarian carcinomas present an effective metabolic pattern difference. Furthermore, a metabolic signature specific of serous (N-acetyl-aspartate) and mucinous (N-acetyl-lysine) carcinomas was found. The statistical models generated in this study are able to predict borderline tumors characterized by an intermediate metabolic pattern similar to the normal ovarian tissue. Finally and importantly, the statistical model of serous carcinomas provided good predictions of both patient's survival rates and the patient's response to chemotherapy.Conclusions. Despite the small number of samples used in this study, the results indicate that metabolomic analysis of intact tissues by HRMAS-NMR is a promising technique which might be applicable to the therapeutic management of patients.

Prognostic significance of heat shock protein (HSP72) immunostaining in epithelial ovarian carcinomas

1999 ◽  
Vol 35 ◽  
pp. S244
Author(s):  
P. Athanassiadou ◽  
E. Petrakakou ◽  
A. Ioakim-Liossi ◽  
M. Gonidi ◽  
E. Stergiou ◽  
...  
Keyword(s):  
Heat Shock ◽  
Heat Shock Protein ◽  
Prognostic Significance ◽  
Ovarian Carcinomas ◽  
Epithelial Ovarian Carcinomas

scholarly journals Mining expression and prognosis of FOLR1 in ovarian cancer by using Oncomine and Kaplan-Meier plotter

Pteridines ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 158-164
Author(s):  
Qingyuan Su ◽  
Qingyuan Lv ◽  
Ruijin Wu
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Ovarian Tumor ◽  
Ovarian Tissue ◽  
Progression Free Survival ◽  
Free Survival ◽  
Normal Ovarian Tissue ◽  
Oncomine Database ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract Objective: To further explore folate receptor 1 (FOLR1) gene expression in ovarian cancer and its association with patients’ prognosis by deep mining the Oncomine and Kaplan-Meier plotter databases. Methods: FOLR1 mRNA expression data of ovarian cancer were retrieved from the Oncomine database and further analyzed by comparing tumor to healthy tissue. The prognostic value of FOLR1 in ovarian cancer was analyzed by Kaplan-Meier Plotter, an online survival analysis database. Results A total of 439 studies were included in the Oncomine database in multiple types of cancers. Of the 439 studies, there were 54 with statistical differences for the expression of FOLR1, 19 with increased expression of FOLR1 and 35 with decreased expression comparing ovarian cancer to normal ovary tissue. After searching the Oncomine database, six datasets were discovered comparing the mRNA expression in ovarian tumor to healthy tissue. FOLR1 mRNA expression in ovarian tumor was significantly higher than that of normal ovarian tissue (all p<0.05). The Kaplan-Meier Plotter database analyzed the correlation between FOLR1 expression and ovarian cancer patient’s prognosis. A significant difference of progression-free survival between FOLR1 high and low expressing groups was found in ovarian cancer patients (HR=1.14, 95%CI: 1.00-1.29, p=0.043). However, the overall survival was not statistically different between high and low FOLR1 expressing patients (HR=0.95, 95%CI: 0.84-1.09, p=0.48). Conclusion FOLR1 mRNA was found to be highly expressed in ovarian tumor compared to normal ovarian tissue. Elevated FOLR1 mRNA expression was associated with the poor progression-free survival.

scholarly journals Ovarian Surface Epithelium: Biology, Endocrinology, and Pathology*

2001 ◽  
Vol 22 (2) ◽  
pp. 255-288 ◽  
Author(s):  
Nelly Auersperg ◽  
Alice S. T. Wong ◽  
Kyung-Chul Choi ◽  
Sung Keun Kang ◽  
Peter C. K. Leung
Keyword(s):  
Ovarian Cancer ◽  
Molecular Mechanisms ◽  
Ovarian Surface Epithelium ◽  
Surface Epithelium ◽  
Neoplastic Progression ◽  
Ovarian Carcinomas ◽  
Genetic Changes ◽  
Ovarian Surface ◽  
Histological Characteristics ◽  
Epithelial Ovarian Carcinomas

Abstract The epithelial ovarian carcinomas, which make up more than 85% of human ovarian cancer, arise in the ovarian surface epithelium (OSE). The etiology and early events in the progression of these carcinomas are among the least understood of all major human malignancies because there are no appropriate animal models, and because methods to culture OSE have become available only recently. The objective of this article is to review the cellular and molecular mechanisms that underlie the control of normal and neoplastic OSE cell growth, differentiation, and expression of indicators of neoplastic progression. We begin with a brief discussion of the development of OSE, from embryonic to the adult. The pathological and genetic changes of OSE during neoplastic progression are next summarized. The histological characteristics of OSE cells in culture are also described. Finally, the potential involvement of hormones, growth factors, and cytokines is discussed in terms of their contribution to our understanding of the physiology of normal OSE and ovarian cancer development.

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