MMP-2 mRNA Expression in Ovarian Cancer Tissues Predicts Patients' Response to Platinum-Taxane Chemotherapy

2019 ◽  
Vol 39 (4) ◽  
pp. 1821-1827 ◽  
Author(s):  
WITOLD JELENIEWICZ ◽  
MAREK CYBULSKI ◽  
ANDRZEJ NOWAKOWSKI ◽  
AGNIESZKA STENZEL-BEMBENEK ◽  
MAŁGORZATA GUZ ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Taxane Chemotherapy ◽  
Cancer Tissues

CHFR Promoter Hypermethylation and Reduced CHFR mRNA Expression in Ovarian Cancer

2009 ◽  
Vol 24 (2) ◽  
pp. 83-89 ◽  
Author(s):  
Ying Gao ◽  
Ge Lou ◽  
Guang-Mei Zhang ◽  
Xi-Wen Sun ◽  
Yu-Yan Ma ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Mrna Level ◽  
Promoter Hypermethylation ◽  
Ovarian Tumors ◽  
Control Group ◽  
Mrna Levels ◽  
Ovarian Cancers ◽  
Cancer Tissues ◽  
Normal Controls

Background Ovarian cancer is one of the most common cancers and can be treated with microtubule-targeting drugs. Checkpoint with forkhead and ring finger domains (CHFR) is a protein implicated in cancer sensitivity to microtubule-targeting drugs. Whereas CHFR downregulation, often with CHFR promoter hypermethylation, has been identified in a large number of tumor types, it has not been in ovarian cancer. We therefore searched for CHFR downregulation in primary ovarian tumors. Methods Fresh ovarian cancer tissues from 53 patients (test) and normal ovarian tissues from 21 patients (control) were tested for CHFR promoter hypermethylation and CHFR mRNA levels. Results The CHFR promoter was hypermethylated in 20.75% (11/53) of the ovarian cancers and none (0/21) of the normal controls. The normal controls had a mean mRNA level of 1.89 relative fluorescence units (RFU) with a range of 0.04–24.78 RFU. The cancer tissues had a mean mRNA level of 0.77 RFU with a range of 0.00–68.75 RFU. The median value of the cancer group was significantly lower than that of the control group (p=0.0067). Those cancer samples that had hypermethylated CHFR promoters also had low (n=3) or undetectable (n=8) CHFR mRNA levels. Conclusions In contrast to previous reports, we found that alterations in CHFR mRNA and CHFR methylation can be frequently found in ovarian cancers. CHFR hypermethylation was strongly associated with the loss of CHFR mRNA expression. CHFR downregulation in ovarian tumors may be clinically relevant as a staging biomarker, as an indicator of sensitivity to microtubule-targeting drugs, and as a future drug target.

scholarly journals ERRα Expression in Ovarian Cancer and Promotes Ovarian Cancer Cells Migration in Vitro

2021 ◽  
Author(s):  
Weiyi Huang ◽  
Lili Chen ◽  
Pengming Sun
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Cancer Cells ◽  
Expression Level ◽  
Ovarian Cancer Cells ◽  
Low Grade ◽  
Mrna Expression Level ◽  
Invasion And Metastasis ◽  
Cancer Tissues

Abstract Purpose: Ovarian cancer is one of the common gynecological malignancies, which is prone to metastasize and thus causes a high fatality rate. Estrogen-related receptor alpha (ERRα) is highly expressed in various malignant tumors. Our objective was to explore the impact of ERRα expression on the progression of ovarian cancer. Methods: The correlation between ERRα expression level and clinical pathological parameters in ovarian cancer tissues were analysed via cancer public database CPTAC. The expression level of ERRα in ovarian cancer cells were confirmed by RT-qPCR and Western Blot methods. The cellular ERRα expression was up-regulated via lentivirus transfection and down-regulated via specific antagonist. The invasion and metastasis capabilities of ovarian cancer cells were observed by wound healing assay and trans-well chamber assay. Results: The CPTAC database showed that the ERRα expression levels were higher in the late-stage and high-grade ovarian cancer tissues compared with those in early-stage and low-grade tissues. Ovarian cancer cells with higher expression level of ERRα had stronger invasion and metastasis capabilities in vitro. After up-regulating the ERRα expression level, the invasion and metastasis capabilities of ovarian cancer cells were enhanced, while down-regulation weakened. Moreover, there was a positive correlation between the percentages of wound closure and cellular ERRα mRNA expression level (r=0.921, P<0.01), and the cell invasiveness was also positively correlated with the cellular ERRα mRNA expression level (r=0.926, P<0.01). Conclusions: Our results suggest that ERRα may play a positive role in the progression of ovarian cancer, and may serve as a promising predictive biomarker.

scholarly journals High expression of sperm-associated antigen 5 correlates with poor survival in ovarian cancer

2020 ◽  
Vol 40 (2) ◽  
Author(s):  
Mei Zhang ◽  
Ling Sha ◽  
Ning Hou ◽  
Chuanbing Shi ◽  
Lin Tan
Keyword(s):  
Ovarian Cancer ◽  
Prognostic Factors ◽  
Mrna Expression ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
High Expression ◽  
Kaplan Meier ◽  
Cancer Tissues ◽  
Antigen 5

Abstract Objectives: Sperm-associated antigen 5 (SPAG5), a spindle-binding protein, regulates the process of mitosis. The present study focused on the relationship between SPAG5 expression and the clinicopathological characteristics and prognosis of ovarian cancer. Methods: First, we used the Gene Expression Omnibus (GEO) database to analyze SPAG5 expression in ovarian cancer and its clinical relevance. Subsequently, qPCR test was used to detect SPAG5 mRNA expression in 20 cases of ovarian cancer. The expression of SPAG5 protein in a tissue microarray containing 102 cases of ovarian cancer was detected by immunohistochemistry. Cox regression and Kaplan–Meier survival analyses were performed to identify the prognostic factors for the 102 ovarian cancer patients. Results: In the GEO datasets, SPAG5 mRNA expression was significantly higher in ovarian cancer tissues than that in normal ovarian tissues (P &lt; 0.001). qPCR and immunohistochemistry showed that SPAG5 expression in ovarian cancer tissues was significantly higher than that in paracancerous tissues (P = 0.002, P &lt; 0.001). The high expression of SPAG5 in ovarian cancer was correlated with histological type (P = 0.009), lymph node metastasis (P = 0.001), distant metastasis (P = 0.001), TNM stage (P = 0.001), and prognosis (P = 0.001). The Kaplan–Meier curve indicated that rates of disease-free survival (DFS) and overall survival (OS) were even lower in patients with high SPAG5 expression. Multivariate analysis showed that SPAG5 expression (P = 0.001) and TNM staging (P = 0.002) were independent prognostic factors for the DFS of ovarian cancer. Conclusions: These results suggest that high SPAG5 expression was correlated with multiple clinicopathological features of ovarian cancer and can be used as an evaluation indicator for a poor ovarian cancer prognosis.

scholarly journals Application of Bioinformatics Analysis to Identify Important Pathways and Hub Genes in Ovarian Cancer Affected by WT1

2021 ◽  
Vol 9 ◽  
Author(s):  
Kai Meng ◽  
Jinghe Cao ◽  
Yehao Dong ◽  
Mengchen Zhang ◽  
Chunfeng Ji ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Signaling Pathways ◽  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Wilms Tumor ◽  
Differentially Expressed ◽  
Hub Genes ◽  
Normal Tissues ◽  
Cancer Tissues

Wilms tumor gene (WT1) is used as a marker for the diagnosis and prognosis of ovarian cancer. However, the molecular mechanisms involving WT1 in ovarian cancer require further study. Herein, we used bioinformatics and other methods to identify important pathways and hub genes in ovarian cancer affected by WT1. The results showed that WT1 is highly expressed in ovarian cancer and is closely related to the overall survival and progression-free survival (PFS) of ovarian cancer. In ovarian cancer cell line SKOV3, WT1 downregulation increased the mRNA expression of 638 genes and decreased the mRNA expression of 512 genes, which were enriched in the FoxO, AMPK, and the Hippo signaling pathways. The STRING online tool and Cytoscape software were used to construct a Protein-protein interaction (PPI) network and for Module analysis, and 18 differentially expressed genes (DEGs) were selected. Kaplan-Meier plotter analysis revealed that 16 of 18 genes were related to prognosis. Analysis of GEPIA datasets indicated that 7 of 16 genes were differentially expressed in ovarian cancer tissues and in normal tissues. The expression of IGFBP1 and FBN1 genes increased significantly after WT1 interference, while the expression of the SERPINA1 gene decreased significantly. The correlation between WT1 expression and that of these three genes was consistent with that of ovarian cancer tissues and normal tissues. According to the GeneMANIA online website analysis, there were complex interactions between WT1, IGFBP1, FBN1, SERPINA1, and 20 other genes. In conclusion, we have identified important signaling pathways involving WT1 that affect ovarian cancer, and distinguished three differentially expressed genes regulated by WT1 associated with the prognosis of ovarian cancer. Our findings provide evidence outlining mechanisms involving WT1 gene expression in ovarian cancer and provides a rational for novel treatment of ovarian cancer.

scholarly journals Clinical Importance of Myc Family Oncogene Aberrations in Epithelial Ovarian Cancer

2018 ◽  
Vol 2 (3) ◽  
Author(s):  
MoonSun Jung ◽  
Amanda J Russell ◽  
Catherine Kennedy ◽  
Andrew J Gifford ◽  
Kylie-Ann Mallitt ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Mrna Expression ◽  
Clinical Significance ◽  
Copy Number ◽  
Family Members ◽  
Activity Score ◽  
Gene Copy ◽  
Myc Oncogene ◽  
Statistical Algorithm

Abstract Background The Myc oncogene family has been implicated in many human malignancies and is often associated with particularly aggressive disease, suggesting Myc as an attractive prognostic marker and therapeutic target. However, for epithelial ovarian cancer (EOC), there is little consensus on the incidence and clinical relevance of Myc aberrations. Here we comprehensively investigated alterations in gene copy number, expression, and activity for Myc and evaluated their clinical significance in EOC. Methods To address inconsistencies in the literature regarding the definition of copy number variations, we developed a novel approach using quantitative polymerase chain reaction (qPCR) coupled with a statistical algorithm to estimate objective thresholds for detecting Myc gain/amplification in large cohorts of serous (n = 150) and endometrioid (n = 80) EOC. MYC, MYCN, and MYCL1 mRNA expression and Myc activity score for each case were examined by qPCR. Kaplan–Meier and Cox-regression analyses were conducted to assess clinical significance of Myc aberrations. Results Using a large panel of cancer cell lines (n = 34), we validated the statistical algorithm for determining clear thresholds for Myc gain/amplification. MYC was the most predominantly amplified of the Myc oncogene family members, and high MYC mRNA expression levels were associated with amplification in EOC. However, there was no association between prognosis and increased copy number or gene expression of MYC/MYCN/MYCL1 or with a pan-Myc transcriptional activity score, in EOC, although MYC amplification was associated with late stage and high grade in endometrioid EOC. Conclusion A systematic and comprehensive analysis of Myc genes, transcripts, and activity levels using qPCR revealed that although such aberrations commonly occur in EOC, overall they have limited impact on outcome, suggesting that the biological relevance of Myc oncogene family members is limited to certain subsets of this disease.

scholarly journals Clinical relevance of kallikrein-related peptidase 6 (KLK6) and 8 (KLK8) mRNA expression in advanced serous ovarian cancer

2016 ◽  
Vol 397 (12) ◽  
pp. 1265-1276 ◽  
Author(s):  
Nancy Ahmed ◽  
Julia Dorn ◽  
Rudolf Napieralski ◽  
Enken Drecoll ◽  
Matthias Kotzsch ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Cox Regression ◽  
Multivariable Analysis ◽  
Progression Free Survival ◽  
Predictive Marker ◽  
Residual Tumor ◽  
Mrna Levels ◽  
Serous Ovarian Cancer ◽  
Cox Regression Analysis

Abstract Most members of the kallikrein-related peptidase family have been demonstrated to be dysregulated in ovarian cancer and modulate tumor growth, migration, invasion, and resistance to chemotherapy. In the present study, we assessed the mRNA expression levels of KLK6 and KLK8 by quantitative PCR in 100 patients with advanced serous ovarian cancer FIGO stage III/IV. A pronounced correlation between KLK6 and KLK8 mRNA expression (rs = 0.636, p < 0.001) was observed, indicating coordinate expression of both peptidases. No significant associations of clinical parameters with KLK6, KLK8, and a combined score KLK6+KLK8 were found. In univariate Cox regression analysis, elevated mRNA levels of KLK6 were significantly linked with shortened overall survival (OS) (hazard ratio [HR] = 2.07, p = 0.007). While KLK8 values were not associated with patients’ outcome, high KLK6+KLK8 values were significantly associated with shorter progression-free survival (HR = 1.82, p = 0.047) and showed a trend towards significance in the case of OS (HR = 1.82, p = 0.053). Strikingly, in multivariable analysis, elevated KLK6 mRNA values, apart from residual tumor mass, remained an independent predictive marker for poor OS (HR = 2.33, p = 0.005). As KLK6 mRNA and protein levels correlate, KLK6 may represent an attractive therapeutic target for potent and specific inhibitors of its enzymatic activity.

scholarly journals miR-214 promotes radioresistance in human ovarian cancer cells by targeting PETN

2017 ◽  
Vol 37 (4) ◽  
Author(s):  
Qin Zhang ◽  
Shuxiang Zhang
Keyword(s):  
Ovarian Cancer ◽  
Ionizing Radiation ◽  
Cell Lines ◽  
Cancer Cell ◽  
Ovarian Cancer Cell ◽  
Cancer Cell Lines ◽  
Ovarian Cancer Cells ◽  
Human Ovarian Cancer ◽  
Ovarian Cancer Cell Lines ◽  
Cancer Tissues

Ovarian cancer is one of the leading causes of death among gynecological malignancies. Increasing evidence indicate that dysregulation of microRNAs (miRNAs) plays an important role in tumor radioresistance. The aim of the present study is to investigate whether microRNA-214 (miR-214) was involved in radioresistance of human ovarian cancer. Here, we showed that miR-214 was significantly up-regulated in ovarian cancer tissues and radioresistance ovarian cancer cell lines. Transfection of miR-214 agomir in radiosensitive ovarian cancer cell lines promoted them for resistance to ionizing radiation, whereas transfection of miR-214 antagomir in radioresistance ovarian cancer cell lines sensitized them to ionizing radiation again. Furthermore, we found miR-214 effectively promoted tumor radioresistance in xenograft animal experiment. Western blotting and quantitative real-time PCR demonstrated that miR-214 negatively regulated PTEN in radioresistance ovarian cancer cell lines and ovarian cancer tissues. Taken together, our data conclude that miR-214 contributes to radioresistance of ovarian cancer by directly targeting PTEN.

scholarly journals Development and Validation of a Prognostic Nomogram Based on DNA Methylation-Driven Genes for Patients With Ovarian Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Min Zhou ◽  
Shasha Hong ◽  
Bingshu Li ◽  
Cheng Liu ◽  
Ming Hu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Dna Methylation ◽  
Mrna Expression ◽  
Risk Score ◽  
Cox Regression ◽  
Expression Profiles ◽  
Figo Stage ◽  
Prognostic Indicator ◽  
Tissue Expression ◽  
The Cancer Genome Atlas

Background: DNA methylation affects the development, progression, and prognosis of various cancers. This study aimed to identify DNA methylated-differentially expressed genes (DEGs) and develop a methylation-driven gene model to evaluate the prognosis of ovarian cancer (OC).Methods: DNA methylation and mRNA expression profiles of OC patients were downloaded from The Cancer Genome Atlas, Genotype-Tissue Expression, and Gene Expression Omnibus databases. We used the R package MethylMix to identify DNA methylation-regulated DEGs and built a prognostic signature using LASSO Cox regression. A quantitative nomogram was then drawn based on the risk score and clinicopathological features.Results: We identified 56 methylation-related DEGs and constructed a prognostic risk signature with four genes according to the LASSO Cox regression algorithm. A higher risk score not only predicted poor prognosis, but also was an independent poor prognostic indicator, which was validated by receiver operating characteristic (ROC) curves and the validation cohort. A nomogram consisting of the risk score, age, FIGO stage, and tumor status was generated to predict 3- and 5-year overall survival (OS) in the training cohort. The joint survival analysis of DNA methylation and mRNA expression demonstrated that the two genes may serve as independent prognostic biomarkers for OS in OC.Conclusion: The established qualitative risk score model was found to be robust for evaluating individualized prognosis of OC and in guiding therapy.

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