Redox protein expression predicts progression-free and overall survival in ovarian cancer patients treated with platinum-based chemotherapy

2010 ◽  
Vol 49 (8) ◽  
pp. 1263-1272 ◽  
Author(s):  
Caroline M. Woolston ◽  
Suha Deen ◽  
Ahmad Al-Attar ◽  
Mohamed Shehata ◽  
Stephen Y. Chan ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Protein Expression ◽  
Cancer Patients ◽  
Redox Protein ◽  
Platinum Based Chemotherapy

Thromboembolic events and antithrombotic prophylaxis in advanced ovarian cancer patients treated with bevacizumab: secondary analysis of the phase IV MITO-16A/MaNGO-OV2A trial

2021 ◽  
Vol 31 (10) ◽  
pp. 1348-1355
Author(s):  
Raimondo Di Liello ◽  
Laura Arenare ◽  
Francesco Raspagliesi ◽  
Giovanni Scambia ◽  
Carmela Pisano ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Antithrombotic Therapy ◽  
Clinical Characteristics ◽  
Secondary Analysis ◽  
Thromboembolic Events ◽  
Antithrombotic Prophylaxis ◽  
Platinum Based Chemotherapy ◽  
Phase Iv

IntroductionThe use of routine antithrombotic prophylaxis is not recommended for advanced cancer patients receiving chemotherapy. The effect of bevacizumab-containing therapy on the risk of thromboembolic events remains controversial in ovarian cancer patients. We report on the incidence of thromboembolic events and the prevalence of antithrombotic therapy in patients enrolled in the single arm, phase IV, MITO-16A/MaNGO-OV2A trial.MethodsIn this trial, potential prognostic factors for patients with previously untreated ovarian cancer receiving a combination of platinum-based chemotherapy and bevacizumab were explored and the final analysis has already been reported. In this secondary analysis, the occurrence of thromboembolic events and the use of antithrombotic therapy were described according to the clinical characteristics of the patients. The prognostic role of thromboembolic events for progression-free and overall survival were also evaluated.ResultsFrom October 2012 to November 2014, 398 eligible patients were enrolled. 76 patients (19.1%) were receiving some type of anticoagulant or anti-aggregant treatment at baseline. Overall, 24 thromboembolic events were reported (cumulative incidence of 6.0%). The occurrence of thromboembolic events was not associated with baseline patient characteristics and was not modified by the use of antithrombotic prophylaxis (HR 0.60, 95% CI 0.18 to 2.0). Occurrence of thromboembolic events was not associated with progression-free survival (HR 1.34, 95% CI 0.83 to 2.15) or overall survival (HR 0.78, 95% CI 0.37 to 1.61).ConclusionsIn our study, a 6.0% rate of thromboembolic events was reported during treatment with bevacizumab plus chemotherapy. Thromboembolic events were not associated with the clinical characteristics of the patients or with the use of antithrombotic prophylaxis, nor did they significantly affect the long-term prognosis.Trial registration numberNCT01706120

scholarly journals XRCC1 polymorphism and overall survival in ovarian cancer patients treated with platinum-based chemotherapy

Medicine ◽  
2018 ◽  
Vol 97 (45) ◽  
pp. e12996 ◽  
Author(s):  
Zhuo Zhang ◽  
Qian Xiang ◽  
Guangyan Mu ◽  
Qiufen Xie ◽  
Shuqing Chen ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Platinum Based Chemotherapy

Homologous recombination deficiency and platinum rechallenge in platinum-resistant ovarian cancer patients.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 5576-5576 ◽  
Author(s):  
Alexandre Andre B. A. Da Costa ◽  
Marcela Marinelli Salvadori ◽  
Camila Vieira Valadares ◽  
Carlos Stecca ◽  
Louise Brot ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Homologous Recombination ◽  
Cancer Patients ◽  
Response Rate ◽  
Homologous Recombination Deficiency ◽  
Platinum Resistant ◽  
Platinum Based Chemotherapy ◽  
History Of ◽  
The Impact

5576 Background: Ovarian carcinomas show homologous recombination deficiency (HRD) in up to 50% of cases and in 15 to 20% of cases occur due to germline BRCA1 or BRCA2 mutations. BRCA mutated tumors are more sensitive to PARP inhibitors and platinum based chemotherapy. The objective of this study was to characterize a cohort of ovarian cancer patients regarding HRD and to evaluate the impact of these scores in prolonged platinum sensitivity. Methods: Thirty one ovarian cancer patients with platinum resistant recurrence reexposed to platinum based chemotherapy were selected. Paraffin embedded tumor samples from 14 patients were analyzed using ONCOSCAN assay (Affymetrix) to evaluate HRD scores. The association of the scores with response rate to platinum rechallenge, overall survival and clinical pathologic factors was evaluated. Results: From the cohort of 31 patients, 15 samples from 14 patients were analyzed for genomic alterations. Median scores were 19.5 for TAI, 12.5 for cnLOH+L, 26.0 for LST and 6.3 for HRD. High scores were found in 10 out of 14 (for cnLOH+L score) and 9 out of 14 (for LST score) patients. Seven of the 14 patients analyzed analyzed for genomic alterations had response, which suggested homologous recombination deficiency. No significant differences were observed between response rates for high versus low scores. Numerically, cnLOH+L, LST and HDR scores were higher in patients with response to treatment compared to those without response. Median overall survival was 13.4 months from the beginning of platinum rechallenge and no difference in survival according to scores was observed. Among the clinical pathologic factors, family history of breast or ovarian cancer or personal history of breast cancer was associated to higher response rate to platinum rechallenge. Conclusions: In conclusion,HRD scores showed to be potential markers of response to platinum rechallenge in the platinum resistant setting. Further studies are necessary to clarify the best cutoffs for each score, the impact of tumor heterogeneity and the analysis of tumor samples in the moment of treatment. Positive family history of cancer is a clinical factor predictvie of platinum rechallenge response.

scholarly journals A panel of three oxidative stress-related genes predicts overall survival in ovarian cancer patients received platinum-based chemotherapy

Aging ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 1366-1379 ◽  
Author(s):  
Jin Zhang ◽  
Lixiao Yang ◽  
Xiaohong Xiang ◽  
Zhuoying Li ◽  
Kai Qu ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Ovarian Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Platinum Based Chemotherapy ◽  
Stress Related Genes

Protein expression levels of excision repair cross-complementation group 1 and xeroderma pigmentosum D correlate with response to platinum-based chemotherapy in the patients with advanced epithelial ovarian cancer

2008 ◽  
Vol 18 (5) ◽  
pp. 1007-1012 ◽  
Author(s):  
K. Lin ◽  
D. Ye ◽  
X. Xie
Keyword(s):  
Ovarian Cancer ◽  
Protein Expression ◽  
Clear Cell ◽  
Excision Repair ◽  
Cell Cancer ◽  
Complementation Group ◽  
Serous Ovarian Cancer ◽  
Expression Levels ◽  
Platinum Based Chemotherapy ◽  
Group 1

This study was undertaken to examine whether there is an association between excision repair cross-complementation group 1 (ERCC1) and xeroderma pigmentosum D (XPD) protein expression levels and response to platinum-based chemotherapy in epithelial ovarian cancer (EOC). The study cohort consisted of 91 consecutive patients suffering from stage III or IV disease of primary EOC from 1999 to 2004 at the Women's Hospital, School of Medicine, Zhejiang University. There were 36 sensitive cases of serous ovarian cancer, 27 resistant cases of serous ovarian cancer, 15 cases of clear cell cancer, and 13 cases with serous ovarian cancer receiving neoadjuvant chemotherapy. The ovarian tissue microsections were stained by standard immunohistochemical techniques to show ERCC1 and XPD protein expression levels. In resistance group of serous ovarian cancer, ERCC1 and XPD protein expression levels were significantly higher than those of sensitivity group, and after receiving neoadjuvant chemotherapy, they showed 23% and 32% higher than before. Meanwhile, their levels of clear cell cancer group were significantly higher than serous ovarian cancer group's. Upregulation of ERCC1 and XPD protein expression was associated with resistance process to platinum-based chemotherapy in advanced EOC. This study provided evidence that differences of nucleotide excision repair–related genes expression may have an effect on the observed differences in clinical behavior of EOC

scholarly journals Potential Prognostic Immune Biomarkers of Overall Survival in Ovarian Cancer Through Comprehensive Bioinformatics Analysis: A Novel Artificial Intelligence Survival Prediction System

2021 ◽  
Vol 8 ◽  
Author(s):  
Tingshan He ◽  
Liwen Huang ◽  
Jing Li ◽  
Peng Wang ◽  
Zhiqiao Zhang
Keyword(s):  
Artificial Intelligence ◽  
Ovarian Cancer ◽  
Overall Survival ◽  
Transcription Factors ◽  
Cancer Patients ◽  
Prognostic Model ◽  
Cox Regression ◽  
Differentially Expressed ◽  
Immune Genes ◽  
Immune Biomarkers

Background: The tumour immune microenvironment plays an important role in the biological mechanisms of tumorigenesis and progression. Artificial intelligence medicine studies based on big data and advanced algorithms are helpful for improving the accuracy of prediction models of tumour prognosis. The current research aims to explore potential prognostic immune biomarkers and develop a predictive model for the overall survival of ovarian cancer (OC) based on artificial intelligence algorithms.Methods: Differential expression analyses were performed between normal tissues and tumour tissues. Potential prognostic biomarkers were identified using univariate Cox regression. An immune regulatory network was constructed of prognostic immune genes and their highly related transcription factors. Multivariate Cox regression was used to identify potential independent prognostic immune factors and develop a prognostic model for ovarian cancer patients. Three artificial intelligence algorithms, random survival forest, multitask logistic regression, and Cox survival regression, were used to develop a novel artificial intelligence survival prediction system.Results: The current study identified 1,307 differentially expressed genes and 337 differentially expressed immune genes between tumour samples and normal samples. Further univariate Cox regression identified 84 prognostic immune gene biomarkers for ovarian cancer patients in the model dataset (GSE32062 dataset and GSE53963 dataset). An immune regulatory network was constructed involving 63 immune genes and 5 transcription factors. Fourteen immune genes (PSMB9, FOXJ1, IFT57, MAL, ANXA4, CTSH, SCRN1, MIF, LTBR, CTSD, KIFAP3, PSMB8, HSPA5, and LTN1) were recognised as independent risk factors by multivariate Cox analyses. Kaplan-Meier survival curves showed that these 14 prognostic immune genes were closely related to the prognosis of ovarian cancer patients. A prognostic nomogram was developed by using these 14 prognostic immune genes. The concordance indexes were 0.760, 0.733, and 0.765 for 1-, 3-, and 5-year overall survival, respectively. This prognostic model could differentiate high-risk patients with poor overall survival from low-risk patients. According to three artificial intelligence algorithms, the current study developed an artificial intelligence survival predictive system that could provide three individual mortality risk curves for ovarian cancer.Conclusion: In conclusion, the current study identified 1,307 differentially expressed genes and 337 differentially expressed immune genes in ovarian cancer patients. Multivariate Cox analyses identified fourteen prognostic immune biomarkers for ovarian cancer. The current study constructed an immune regulatory network involving 63 immune genes and 5 transcription factors, revealing potential regulatory associations among immune genes and transcription factors. The current study developed a prognostic model to predict the prognosis of ovarian cancer patients. The current study further developed two artificial intelligence predictive tools for ovarian cancer, which are available at https://zhangzhiqiao8.shinyapps.io/Smart_Cancer_Survival_Predictive_System_17_OC_F1001/ and https://zhangzhiqiao8.shinyapps.io/Gene_Survival_Subgroup_Analysis_17_OC_F1001/. An artificial intelligence survival predictive system could help improve individualised treatment decision-making.

Determination of Both TP53 Mutation Status and the Amount of p53 Protein Has Limited Diagnostic Importance for Patients with Ovarian Cancer

2022 ◽  
Vol 29 ◽  
Author(s):  
Sebastian M. Klein ◽  
Maria Bozko ◽  
Astrid Toennießen ◽  
Nisar P. Malek ◽  
Przemyslaw Bozko
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Tp53 Mutation ◽  
P53 Protein ◽  
Mutation Status ◽  
Tumor Tissues ◽  
Tp53 Status ◽  
Diagnostic Importance

Background: Ovarian cancer is one of the most aggressive types of gynecologic cancers. Many patients have a relapse within two years after diagnosis and subsequent therapy. Among different genetic changes generally believed to be important for the development of cancer, TP53 is the most common mutation in the case of ovarian tumors. Objective: Our work aims to compare the outcomes of different comparisons based on the overall survival of ovarian cancer patients, determination of TP53 status, and amount of p53 protein in tumor tissues. Methods: We analyzed and compared a collective of 436 ovarian patient’s data. Extracted data include TP53 mutation status, p53 protein level, and information on the overall survival. Values for p53 protein level in dependence of TP53 mutation status were compared using the Independent-Samples t-Test. Survival analyses were displayed by Kaplan-Meier plots, using the log-rank test to check for statistical significance. Results: We have not found any statistically significant correlations between determination of TP53 status, amount of p53 protein in tumor tissues, and overall survival of ovarian cancer patients. Conclusion: In ovarian tumors both determination of TP53 status as well as p53 protein amount has only limited diagnostic importance.

scholarly journals Correlation of PKM2 and CD44 Protein Expression with Poor Prognosis in Platinum-Treated Epithelial Ovarian Cancer: A Retrospective Study

Cancers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1013
Author(s):  
Chara Papadaki ◽  
Stavroula Manolakou ◽  
Eleni Lagoudaki ◽  
Spyros Pontikakis ◽  
Despo Ierodiakonou ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Prognostic Factor ◽  
Protein Expression ◽  
Epithelial Ovarian Cancer ◽  
Cancer Cells ◽  
Progression Free Survival ◽  
Free Survival ◽  
Protein Levels ◽  
Low Expression

CD44, a surface marker for cancer stem cells, interacts with PKM2, a key regulator of aerobic glycolysis, and enhances the glycolytic phenotype of cancer cells leading to antioxidant protection and macromolecules’ synthesis. To clarify the clinical importance of this “cross-talk” as a mechanism of drug resistance, we assessed the expression both of PKM2 and of CD44 in cancer cells of patients with epithelial ovarian cancer (EOC) treated with platinum-based treatment. One hundred and seventy-one patients with EOC were assessed for PKM2mRNA expression and PKM2 and CD44 proteins detection. Associations with progression-free survival (PFS) and overall survival (OS) were assessed with Kaplan–Meier and adjusted Cox regression models. PKM2mRNA and protein as well as CD44 protein were detectable in the majority of patients. Positive correlation between PKM2 and CD44 protein expression was observed (Spearman rho = 0.2, p = 0.015). When we used the median to group patients into high versus low expression, high PKM2mRNA and protein levels were significantly associated with lower progression-free survival (PFS; p = 0.003 and p = 0.002, respectively) and shorter overall survival (OS; p ≤ 0.001 and p = 0.001, respectively). However, high CD44 protein expression was significantly correlated only with shorter OS (p = 0.004). Moreover, patients with both high PKM2 and CD44 protein levels experienced shorter PFS and OS (p = 0.007 and p = 0.003, respectively) compared to patients with low expression of both proteins. Finally, higher PKM2mRNA and protein expression as well as CD44 protein expression (HR: 2.16; HR: 1.82; HR: 1.01, respectively) were independent prognostic factors for decreased median OS (mOS), whereas only PKM2 protein expression (HR: 1.95) was an independent prognostic factor for decreased median PFS (mPFS). In conclusion, PKM2 expression is a negative prognostic factor in EOC patients, but the interaction between CD44 and PKM2 that may be implicated in EOC platinum-resistance needs further investigation.

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