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1.
Ann Oncol ; 27 Suppl 1: i4-i10, 2016 04.
Article in English | MEDLINE | ID: mdl-27141069

ABSTRACT

BACKGROUND: Epithelial ovarian cancer (EOC) remains one of the leading causes of cancer-related deaths among women worldwide, despite gains in diagnostics and treatments made over the last three decades. Existing markers of ovarian cancer possess very limited clinical relevance highlighting the emerging need for identification of novel prognostic biomarkers as well as better predictive factors that might allow the stratification of patients who could benefit from a more targeted approach. PATIENTS AND METHODS: A summary of molecular genetics of EOC. RESULTS: Large-scale high-throughput genomic technologies appear to be powerful tools for investigations into the genetic abnormalities in ovarian tumors, including studies on dysregulated genes and aberrantly activated signaling pathways. Such technologies can complement well-established clinical histopathology analysis and tumor grading and will hope to result in better, more tailored treatments in the future. Genomic signatures obtained by gene expression profiling of EOC may be able to predict survival outcomes and other important clinical outcomes, such as the success of surgical treatment. Finally, genomic analyses may allow for the identification of novel predictive biomarkers for purposes of treatment planning. These data combined suggest a pathway to progress in the treatment of advanced ovarian cancer and the promise of fulfilling the objective of providing personalized medicine to women with ovarian cancer. CONCLUSIONS: The understanding of basic molecular events in the tumorigenesis and chemoresistance of EOC together with discovery of potential biomarkers may be greatly enhanced through large-scale genomic studies. In order to maximize the impact of these technologies, however, extensive validation studies are required.


Subject(s)
Neoplasms, Glandular and Epithelial/genetics , Ovarian Neoplasms/genetics , Squamous Intraepithelial Lesions of the Cervix/genetics , Biomarkers, Tumor/genetics , Carcinoma, Ovarian Epithelial , Female , Gene Expression , Humans , Kaplan-Meier Estimate , Molecular Biology , Neoplasms, Glandular and Epithelial/mortality , Neoplasms, Glandular and Epithelial/pathology , Ovarian Neoplasms/mortality , Ovarian Neoplasms/pathology , Squamous Intraepithelial Lesions of the Cervix/mortality , Squamous Intraepithelial Lesions of the Cervix/pathology
2.
Ann Oncol ; 24(1): 138-44, 2013 Jan.
Article in English | MEDLINE | ID: mdl-22945381

ABSTRACT

BACKGROUND: To assess the long-term oncological outcome and the fertility of young women with early-stage epithelial ovarian cancer (ES/EOC) treated with fertility-sparing surgery (FSS). PATIENTS AND METHODS: All patients treated with FSS for ES/EOC in two Italian centers were considered for this analysis. Univariate and multivariate analyses were used to test demographic characteristics and clinical features for the association with overall survival (OS), recurrence-free survival (RFS) and fertility. RESULTS: From 1982 to 2010, 240 patients with malignant ES/EOC were treated with FSS in two tertiary centers in Italy. At a median follow-up of 9 years, 27 patients had relapsed (11%) and 11 (5%) had died of progressive disease. Multivariate analysis found only grade 3 negatively affected the prognosis of patients [hazard ratio (HR) for recurrence: 4.2, 95% confidence interval (CI): 1.5-11.7, P=0.0067; HR for death: 7.6, 95% CI: 2.0-29.3, P=0.0032]. Grade 3 was also significantly associated with extra-ovarian relapse (P=0.006). Of the 105 patients (45%) who tried to become pregnant, 84 (80%) were successful. CONCLUSIONS: Conservative treatment can be proposed to all young patients when tumor is limited to the ovaries, as ovarian recurrences can always be managed successfully. Patients with G3 tumors are more likely to have distant recurrences and should be closely monitored.


Subject(s)
Neoplasms, Glandular and Epithelial/surgery , Ovarian Neoplasms/surgery , Carcinoma, Ovarian Epithelial , Female , Humans , Retrospective Studies , Survival Analysis
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