Preliminary outcomes of five-year survival for ovarian malignancies in profiled Serbian Oncology Centre.

Autor:	Gutic B; Oncology Institute of Vojvodina, Sremska Kamenica, Faculty of Medicine University of Novi Sad, Faculty of Medicine University of Belgrade, Belgrade, Serbia., Bozanovic T; Department of Gynecology and Obstetrics, University Clinical Center of Serbia, Clinic for Gynecology and Obstetrics, Faculty of Medicine University of Belgrade, Belgrade, Serbia., Mandic A; Oncology Institute of Vojvodina, Sremska Kamenica, Faculty of Medicine University of Novi Sad, Faculty of Medicine University of Belgrade, Belgrade, Serbia., Dugalic S; Department of Gynecology and Obstetrics, University Clinical Center of Serbia, Clinic for Gynecology and Obstetrics, Faculty of Medicine University of Belgrade, Belgrade, Serbia., Todorovic J; Institute for Social Medicine, University of Belgrade, Belgrade, Serbia., Dugalic MG; Department of Gynecology and Obstetrics, University Clinical Center of Serbia, Clinic for Gynecology and Obstetrics, Faculty of Medicine University of Belgrade, Belgrade, Serbia., Sengul D; Department of Pathology, Faculty of Medicine, Giresun University, Giresun, Turkey., Detanac DA; Department of Ophthalmology, General Hospital Novi Pazar, Novi Pazar, Serbia., Sengul I; Division of Endocrine Surgery, Faculty of Medicine, Giresun University, Giresun, Turkey; Department of General Surgery, Faculty of Medicine, Giresun University, Giresun, Turkey. Electronic address: ilker.sengul.52@gmail.com., Detanac D; Department of General Surgery, General Hospital Novi Pazar, Novi Pazar, Serbia., Kesicioglu T; Department of General Surgery, Faculty of Medicine, Giresun University, Giresun, Turkey., Soares Junior JM; Disciplina de Ginecologia, Departamento de Obstetrícia e Ginecologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brasil.
Jazyk:	angličtina
Zdroj:	Clinics (Sao Paulo, Brazil) [Clinics (Sao Paulo)] 2023 May 04; Vol. 78, pp. 100204. Date of Electronic Publication: 2023 May 04 (Print Publication: 2023).
DOI:	10.1016/j.clinsp.2023.100204
Abstrakt:	Objective: The present study purposed to determine characteristics of ovarian carcinoma and to analyze predictors of survival in patients with ovarian carcinoma. Method: A retrospective cohort study was conducted including the patients with diagnosed ovarian carcinoma treated at the Clinic for Operative Oncology, Oncology Institute of Vojvodina in the period from January 2012 to December 2016. Seventy-two women with ovarian carcinoma were included in the analysis. The data about the histological type of tumor, disease stage, treatment, lymphatic infiltration, and surgical procedure were collected retrospectively, using the database of the institution where the research was conducted (BirPis 21 SRC Infonet DOO ‒ Information System Oncology Institute of Vojvodina). Descriptive statistics and multivariate analysis using Cox proportional hazards model were performed. Results: The univariate Cox regression analysis identified histology, tumor grade, FIGO (International Federation of Gynecology and Obstetrics) stage, NACT (Neoadjuvant Chemotherapy), number of therapy cycles, type of surgery, and chemotherapy response as independent predictors of mortality. Finally, the type of tumor and chemotherapy response had an increased hazard ratio for mortality in the multivariate Cox regression model. Herewith, the percentage of high-grade, advanced-stage ovarian cancer patients with complete response to chemotherapy, absence of recurrent disease, and lymphovascular space invasion were significant predictors of survival in patients with ovarian carcinoma. Conclusions: Herein, emerging data regarding precision medicine and molecular-based personalized treatments are promising and will likely modify the way the authors provide multiple lines of treatments in the near future. Competing Interests: Conflicts of interest The authors declare no conflicts of interest. (Copyright © 2023 HCFMUSP. Published by Elsevier España, S.L.U. All rights reserved.)
Databáze:	MEDLINE
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