scholarly journals CPED1 is differentially expressed in ovarian cancer.

2020 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Ovarian Cancer ◽  
Differential Expression ◽  
Ovarian Tissue ◽  
Gynecological Cancer ◽  
Differentially Expressed ◽  
Common Reason ◽  
Normal Ovary ◽  
Cancer Death ◽  
Normal Ovarian Tissue ◽  
Developed World

Ovarian cancer is most common reason for a gynecological cancer death in the developed world (1). There are zero targeted chemotherapies available for the treatment of ovarian cancer. We studied the transcriptomes of tumors from ovarian cancer by comparing them to the transcriptome of normal ovarian tissue using two separate datasets (2, 3). We found that the cadherin-like and PC esterase domain containing 1, CPED1, was among the genes whose expression changed the most between ovarian tumors and the normal ovary. This is the first report of differential expression of CPED1 in ovarian cancer.

scholarly journals DSCAML1 is differentially expressed in ovarian cancers.

2020 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Tumor ◽  
Cell Adhesion Molecule ◽  
Ovarian Tissue ◽  
Gynecologic Cancer ◽  
The United States ◽  
Human Ovarian Cancer ◽  
Cancer Death ◽  
Ovarian Cancers ◽  
Developed World

Ovarian cancer is the fifth leading cause of cancer death for women in the United States and the leading cause of death from a gynecologic cancer for women in the developed world (1, 2). We compared the transcriptional profiles of benign ovarian tissues to that ovarian tumors isolated from women diagnosed with ovarian cancer using published datasets (3, 4) and found that the Down Syndrome cell adhesion molecule-like 1, or DSCAML1 (5) was one of the genes whose expression was most different between ovarian tumor and healthy ovarian tissue using separate datasets. This was consistent between two independent datasets analyzed. This is the first report of differential expression of DSCAML1 in ovarian cancers. DSCAML1 should be evaluated for its ability to initiate, or maintain the tumorigenic state in human ovarian cancer.

scholarly journals INPP1 is differentially expressed in platinum-resistant ovarian cancers.

2020 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Ovarian Cancer ◽  
Cell Lines ◽  
Gynecological Cancer ◽  
The United States ◽  
Differentially Expressed ◽  
Platinum Resistance ◽  
Platinum Drugs ◽  
Cancer Death ◽  
Primary Tumors ◽  
Platinum Resistant

Ovarian cancer is the most common reason for a gynecological cancer death in the developed world and fifth leading cause of cancer death in women in the United States (1, 2). Chemotherapy includes the use of platinum drugs (3) and resistance to platinum drugs is a serious problem for women diagnosed with ovarian cancer (4, 5, 6). We found, using two published datasets (7, 8) that INPP1 was one of the genes most differentially expressed when comparing the transcriptomes of platinum-resistant and platinum-sensitive tumors and cell lines but that the pattern of differential expression was opposite in cell lines versus that in primary tumors from patients. Manipulation of INPP1 expression should be assessed for its ability to reverse platinum resistance.

Characterization of differentially expressed genes in ovarian cancer by cDNA microarrays

2005 ◽  
Vol 15 (1) ◽  
pp. 50-57
Author(s):  
X. Zhang ◽  
J. Feng ◽  
Y. Cheng ◽  
Y. Yao ◽  
X. Ye ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Carcinoma ◽  
Differentially Expressed Genes ◽  
Large Scale ◽  
Ovarian Tissue ◽  
Immunohistochemical Analysis ◽  
Cdna Microarrays ◽  
Suppressor Gene ◽  
Differentially Expressed ◽  
Normal Ovarian Tissue

The molecular events leading to the development and progression of ovarian carcinoma are not completely understood. We performed a large-scale survey for the identification of differentially expressed genes between ovarian carcinoma and normal ovarian tissue by using cDNA microarray analysis. We utilized 512 member human novel putative oncogene and tumor suppressor gene cDNA microarrays to study the differences in gene expression between ovarian carcinoma and normal ovarian tissues. Some differentially expressed genes have been further confirmed by immunohistochemical analysis. A total of 39 differentially expressed genes were identified, of which 16 and 23 were specifically expressed in ovarian cancer and normal ovarian tissue, respectively. The comparison of average signal of differentially expressed genes exhibited at least a twofold difference in expression. The differentially expressed genes may be related to the carcinogenesis and progression of the malignant growth. The use of cDNA microarrays allows simultaneous monitor of the expression of many genes, thereby it speeds up the identification of differentially expressed genes. It is essential for further exploration of the mechanisms of the disease.

scholarly journals Mining expression and prognosis of FOLR1 in ovarian cancer by using Oncomine and Kaplan-Meier plotter

Pteridines ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 158-164
Author(s):  
Qingyuan Su ◽  
Qingyuan Lv ◽  
Ruijin Wu
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Ovarian Tumor ◽  
Ovarian Tissue ◽  
Progression Free Survival ◽  
Free Survival ◽  
Normal Ovarian Tissue ◽  
Oncomine Database ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract Objective: To further explore folate receptor 1 (FOLR1) gene expression in ovarian cancer and its association with patients’ prognosis by deep mining the Oncomine and Kaplan-Meier plotter databases. Methods: FOLR1 mRNA expression data of ovarian cancer were retrieved from the Oncomine database and further analyzed by comparing tumor to healthy tissue. The prognostic value of FOLR1 in ovarian cancer was analyzed by Kaplan-Meier Plotter, an online survival analysis database. Results A total of 439 studies were included in the Oncomine database in multiple types of cancers. Of the 439 studies, there were 54 with statistical differences for the expression of FOLR1, 19 with increased expression of FOLR1 and 35 with decreased expression comparing ovarian cancer to normal ovary tissue. After searching the Oncomine database, six datasets were discovered comparing the mRNA expression in ovarian tumor to healthy tissue. FOLR1 mRNA expression in ovarian tumor was significantly higher than that of normal ovarian tissue (all p<0.05). The Kaplan-Meier Plotter database analyzed the correlation between FOLR1 expression and ovarian cancer patient’s prognosis. A significant difference of progression-free survival between FOLR1 high and low expressing groups was found in ovarian cancer patients (HR=1.14, 95%CI: 1.00-1.29, p=0.043). However, the overall survival was not statistically different between high and low FOLR1 expressing patients (HR=0.95, 95%CI: 0.84-1.09, p=0.48). Conclusion FOLR1 mRNA was found to be highly expressed in ovarian tumor compared to normal ovarian tissue. Elevated FOLR1 mRNA expression was associated with the poor progression-free survival.

Detection of ovarian cancer-specific gene by differentially expressed gene polymerase chain reaction prescreening and direct DNA sequencing

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 21106-21106 ◽  
Author(s):  
J. Kim ◽  
J. H. Pak ◽  
W. H. Choi ◽  
J. Y. Kim ◽  
W. D. Joo ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Ribosomal Protein ◽  
Differentially Expressed Genes ◽  
Triosephosphate Isomerase ◽  
Differentially Expressed Gene ◽  
Differentially Expressed ◽  
Specific Gene ◽  
Cancer Tissue ◽  
Normal Ovary ◽  
Ribosomal Protein L11

21106 Background: To detect the genes differentially expressed in the ovarian cancer, we analysed the genes in the ovarian cancer and normal ovary by differentially expressed gene(DEG) PCR using the RNA extracted from the both tissues. We examined the relationship between the specific genes of ovarian cancer and pathogenesis of ovarian cancer. Methods: Differentially expressed genes were screened by ACP-based PCR. Differentially expressed bands were extracted from agarose gel, and then directly sequenced. Finally we determined the clinical importances of differentially expressed genes. Results: Some genes were overexpressed in the ovarian cancer tissue than normal ovary, such as plexin B1(PLXNB1), aminoacylase 1(ACY1), solute carrier family 25 protein(SLC25A5), triosephosphate isomerase 1(TPI 1), poliovirus receptor-related 3 protein(PVRL 3), clusterin, LY6/PLAUR domain containing 1 protein(LYPDC 1). And other five genes were more expressed in the normal ovary than ovarian cancer, such as ribosomal protein L11 and L23, tenascin XB (TNXB), complement component 1 and actin alpha 2. Conclusions: Clusterin was highly expressed in the tissue from ovarian cancer, which was identified with anti- or proapoptotic activity regulated by calcium homeostasis in prostate, breast and colorectal cancers. And it suggests the possibility that regulation of clusterin activity provides the prospect of breaking down cancer cells‘ resistance to apoptosis in the ovarian cancer. Ribosomal protein L11 and L23 was highly expressed in normal ovary, which plays an important role in regulating the stability and function of the p53 tumor suppressor protein. It suggests that suppression of ribosomal protein L11 may act an important role in proliferation of ovarian cancer and over-expression of ribosomal protein L11 may act an important role in cell cycle arrest in the treatment of the ovarian cancer. No significant financial relationships to disclose.

scholarly journals High-Throughput Sequencing Identification of Differentially Expressed microRNAs in Metastatic Ovarian Cancer with experimental validations

2020 ◽  
Author(s):  
Yang Gu ◽  
Shulan Zhang
Keyword(s):  
Ovarian Cancer ◽  
High Throughput Sequencing ◽  
Human Cancer ◽  
Quantitative Polymerase Chain Reaction ◽  
Gynecological Cancer ◽  
Metastatic Potential ◽  
Differentially Expressed ◽  
Luciferase Reporter ◽  
Downstream Target ◽  
Differentially Expressed Mirnas

Abstract Background: Ovarian cancer (OC) is a common gynecological cancer and characterized by high metastatic potential. MicroRNAs (miRNAs, miRs) have the promise to be harnessed as prognostic and therapeutic biomarkers for OC. Herein, we sought to identify differentially expressed miRNAs and mRNAs in metastatic OC, and to validate them with functional experiments. Methods: Differentially expressed miRNAs and miRNAs were screened from six pairs of primary OC tissues and metastatic tissues using an miRStar™ Human Cancer Focus miRNA & Target mRNA PCR Array. Then, gene expression profiling results were verified by reverse transcription quantitative polymerase chain reaction (RT-qPCR) and western blot assays. The binding affinity between miR-7-5p and TGFβ2 was validated by dual-luciferase reporter assay. Expression of miR-7-5p and TGFβ2 was manipulated to assess their roles in malignant phenotypes of highly metastatic HO-8910PM cells. Results: MiRNA profiling and sequencing identified 12 miRNAs and 10 mRNAs that were differentially expressed in metastatic tissues. Gene ontology and Pathway analyses determined that 3 differentially expressed mRNAs (ITGB3, TGFβ2 and TNC) were related to OC metastasis. The results of RT-qPCR confirmed that the decrease of miR-7-5p was most significant in OC metastasis, while TGFβ2 was up-regulated in OC metastasis. Moreover, miR-7-5p targeted and negatively regulated TGFβ2. MiR-7-5p overexpression accelerated HO-8910PM cell viability and invasion, and TGFβ2 overexpression reversed the results. Meanwhile, simultaneous miR-7-5p and TGFβ2 overexpression rescued the cell activities. Conclusions: This study characterizes differentially expressed miRNAs and mRNAs in metastatic OC, where miR-7-5p and its downstream target were most closely associated with metastatic OC. Overexpression of miR-7-5p targets and inhibits TGFβ2 expression, thereby inhibiting the growth and metastasis of OC.

scholarly journals PEG3 is differentially expressed in high-grade serous ovarian cancers.

2020 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Ovarian Cancer ◽  
Expression Profiles ◽  
Gynecologic Cancer ◽  
Gene Expression Profiles ◽  
Ovarian Tumors ◽  
Differentially Expressed ◽  
High Grade ◽  
Normal Ovary ◽  
Primary Tumors ◽  
Ovarian Cancers

Ovarian cancer is the most lethal gynecologic cancer (1-3). We sought to identify genes associated with high-grade serous ovarian cancer (HGSC) by comparing global gene expression profiles of normal ovary with that of primary tumors from women diagnosed with HGSC using published microarray data (4, 5). We identified paternally expressed gene 3 (PEG3) (6) as among the genes whose expression was most different in HGSC ovarian tumors. PEG3 expression was significantly lower in ovarian tumors relative to normal ovary. In one dataset, an anti-sense transcript produced at the PEG3 locus was among those most differentially expressed between HGSC tumors and benign ovarial tissue. These data indicate that significant changes in expression at the PEG3 imprinted locus could be a feature of high-grade serous ovarian cancers.

Asbestos fibers in ovarian tissue from Norwegian pulp and paper workers

2007 ◽  
Vol 17 (1) ◽  
pp. 44-49 ◽  
Author(s):  
H. Langseth ◽  
B. V. Johansen ◽  
J. M. Nesland ◽  
K. Kjærheim
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Tissue ◽  
Pulp And Paper ◽  
Case Group ◽  
Control Groups ◽  
Paper Mills ◽  
Asbestos Fibers ◽  
Normal Ovarian Tissue ◽  
Increased Risk ◽  
Tissue Specimens

An elevated risk of ovarian cancer has been observed in Norwegian pulp and paper workers who were possibly occupationally exposed to asbestos. The present study was initiated to investigate if the increased risk could be associated with asbestos fibers in ovarian tissue from workers in this industry. Normal ovarian tissue specimens from three groups of women were included in the study. The case group included specimens from 46 women diagnosed with ovarian cancer in the period 1953–2000, and who had been working in one or more pulp and paper mills between 1920 and 1993. Normal ovarian tissue specimens from two control groups without occupational history from pulp and paper work were selected from the Cancer Registry database. Tissue blocks were digested and prepared for transmission electron microscopy. Number of fibers per gram wet weight was calculated. Asbestos fibers were found in normal ovarian tissue from two subjects in the case group, while no fibers were found in the control groups. The two asbestos positive cases had been working as paper sorter/packer and chlorine plant worker, respectively. Both were possibly secondary exposed to asbestos from family members working as insulators. We conclude that the findings in this study did not allow drawing any firm conclusion about an association between occupational exposure to asbestos and ovarian cancer in Norwegian pulp and paper workers. Our study confirms that asbestos fibers may reach the ovaries and demonstrates that the applied method is appropriate for identification of the fibers

Differential expression of interleukins IL-13 and IL-15 in normal ovarian tissue and ovarian carcinomas

2004 ◽  
Vol 92 (3) ◽  
pp. 761-768 ◽  
Author(s):  
Daylene Ripley ◽  
Brenda Shoup ◽  
Andrew Majewski ◽  
Nasser Chegini
Keyword(s):  
Differential Expression ◽  
Ovarian Tissue ◽  
Ovarian Carcinomas ◽  
Normal Ovarian Tissue
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