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Browsing by Author "Gutic, Bojana (54393075400)"

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    Polymorphic expression of glutathione transferases A1, M1, P1 and T1 in epithelial ovarian cancer: A Serbian case-control study
    (2017)
    Pljesa, Igor (57194182186)
    ;
    Berisavac, Milica (14622317400)
    ;
    Simic, Tatjana (6602094386)
    ;
    Pekmezovic, Tatjana (7003989932)
    ;
    Coric, Vesna (55584570400)
    ;
    Suvakov, Sonja (36572404500)
    ;
    Stamatovic, Ljiljana (6603184356)
    ;
    Matic, Marija (58618962300)
    ;
    Gutic, Bojana (54393075400)
    ;
    Milenkovic, Sanja (57220419015)
    ;
    Pljesa-Ercegovac, Marija (16644038900)
    ;
    Savic-Radojevic, Ana (16246037100)
    Purpose: Since several studies have proposed that epithelial ovarian cancer should not be considered as a single disease entity and that it results from an accumulation of genetic changes, we aimed to assess the polymorphic expression of major cytosolic glutathione S-transferases (GSTM1, T1, A1 and P1) with respect to ovarian cancer susceptibility and aggressiveness. Methods: This case-control study was conducted on 93 newly diagnosed epithelial ovarian cancer patients and 178 healthy matched controls. The multiplex polymerase chain reaction (PCR) was used to detect homozygous deletions ofGSTMl and GSTT1 genes. Analysis of the single nucleotide polymorphism (SNP) GSTA1 C69T was performed using PCR-restrictionfragment length polymorphism (RFLP), while for SNP GSTP1 Ile105Val real-time PCR was used. Results: No significant association to ovarian cancer risk was found for individual GSTM1, GSTA1 and GSTP1 genotypes (p>0.05). However, the carriers of GSTT1-active genotype were at 2-fold higher risk of ovarian cancer development (95%C1: 1.00-4.01, p=0.049), which was even more elevated in the subgroup of patients with positive family history of cancer. Moreover, the frequency of all three GST genotypes that might be associated to ovarian cancer risk (GSTT1-active, GSTA1-active and GSTPl-referent) was significantly higher in patients than in the control group (p=0.042). Even more, patients who were carriers of combination of these three genotypes represented over 64% of the total number of patients within any of the International Federation of Gynecology and Obstetrics (FIGO) stages of ovarian cancer. Conclusions: This study provides supportive evidence that GSTs might affect both susceptibility and progression of ovarian cancer.
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    Publication
    Polymorphic expression of glutathione transferases A1, M1, P1 and T1 in epithelial ovarian cancer: A Serbian case-control study
    (2017)
    Pljesa, Igor (57194182186)
    ;
    Berisavac, Milica (14622317400)
    ;
    Simic, Tatjana (6602094386)
    ;
    Pekmezovic, Tatjana (7003989932)
    ;
    Coric, Vesna (55584570400)
    ;
    Suvakov, Sonja (36572404500)
    ;
    Stamatovic, Ljiljana (6603184356)
    ;
    Matic, Marija (58618962300)
    ;
    Gutic, Bojana (54393075400)
    ;
    Milenkovic, Sanja (57220419015)
    ;
    Pljesa-Ercegovac, Marija (16644038900)
    ;
    Savic-Radojevic, Ana (16246037100)
    Purpose: Since several studies have proposed that epithelial ovarian cancer should not be considered as a single disease entity and that it results from an accumulation of genetic changes, we aimed to assess the polymorphic expression of major cytosolic glutathione S-transferases (GSTM1, T1, A1 and P1) with respect to ovarian cancer susceptibility and aggressiveness. Methods: This case-control study was conducted on 93 newly diagnosed epithelial ovarian cancer patients and 178 healthy matched controls. The multiplex polymerase chain reaction (PCR) was used to detect homozygous deletions ofGSTMl and GSTT1 genes. Analysis of the single nucleotide polymorphism (SNP) GSTA1 C69T was performed using PCR-restrictionfragment length polymorphism (RFLP), while for SNP GSTP1 Ile105Val real-time PCR was used. Results: No significant association to ovarian cancer risk was found for individual GSTM1, GSTA1 and GSTP1 genotypes (p>0.05). However, the carriers of GSTT1-active genotype were at 2-fold higher risk of ovarian cancer development (95%C1: 1.00-4.01, p=0.049), which was even more elevated in the subgroup of patients with positive family history of cancer. Moreover, the frequency of all three GST genotypes that might be associated to ovarian cancer risk (GSTT1-active, GSTA1-active and GSTPl-referent) was significantly higher in patients than in the control group (p=0.042). Even more, patients who were carriers of combination of these three genotypes represented over 64% of the total number of patients within any of the International Federation of Gynecology and Obstetrics (FIGO) stages of ovarian cancer. Conclusions: This study provides supportive evidence that GSTs might affect both susceptibility and progression of ovarian cancer.
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    Publication
    Preliminary outcomes of five-year survival for ovarian malignancies in profiled Serbian Oncology Centre
    (2023)
    Gutic, Bojana (54393075400)
    ;
    Bozanovic, Tatjana (57200447516)
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    Mandic, Aljosa (7004676897)
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    Dugalic, Stefan (26648755300)
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    Todorovic, Jovana (7003376825)
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    Dugalic, Miroslava Gojnic (56340481000)
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    Sengul, Demet (22938589200)
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    Detanac, Dzenana A. (36815573500)
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    Sengul, Ilker (26323870100)
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    Detanac, Dzemail (57192310908)
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    Kesicioglu, Tugrul (45561313000)
    ;
    Soares Junior, José Maria (59157698700)
    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. © 2023 HCFMUSP
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    Programmed cell death-1 and its ligands: Current knowledge and possibilities in immunotherapy
    (2023)
    Gutic, Bojana (54393075400)
    ;
    Bozanovic, Tatjana (57200447516)
    ;
    Mandic, Aljosa (7004676897)
    ;
    Dugalic, Stefan (26648755300)
    ;
    Todorovic, Jovana (7003376825)
    ;
    Stanisavljevic, Dejana (23566969700)
    ;
    Dugalic, Miroslava Gojnic (56340481000)
    ;
    Sengul, Demet (22938589200)
    ;
    Detanac, Dzenana A. (36815573500)
    ;
    Sengul, Ilker (26323870100)
    ;
    Detanac, Dzemail (57192310908)
    ;
    Soares, José Maria (56996278600)
    Programmed Cell Death-1 (PCD-1) is a key immune checkpoint receptor, which mainly expresses on activated T, B, Dendritic (DC), Natural Killer (NK), and Treg cells. On the surface of activated T-cells, PCD-1 expression is upregulated after the recognition of peripherals antigens by T cells; subsequently, the elevated binding of PD-1 to Programmed Death Ligand-1 (PD-L1) and Programmed Death Ligand-2 (PD-L2) becomes a key step for downstream inhibitory signaling. Although the role of PD-L1 has been evaluated more thoroughly by clinical research, and PD-L1 has also been used more widely in the clinical setting, PD-L2 also plays an important role in the negative regulation of T-cells, one of the necessary conditions that lead to immune tolerance. Expression of PD-L1 either in tumors or in infiltrating immune cells has been verified predominantly by Immunohistochemistry (IHC) in a variety of tumors, suggesting a role for the PD-1/PD-L1 axis as a prognostic trait and therapeutic target across multiple histotypes. The complex interplay between these factors plays a major role in the diffusion and clinical application of PD-L1 IHC assays as predictive biomarkers of response to PD-1/PD-L1 inhibitors. Checkpoint blockades are registered for the treatment of various cancers, including gynecological malignancies. © 2023 HCFMUSP

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