scholarly journals Long non‐coding RNA EPB41L4A‐AS2 suppresses progression of ovarian cancer by sequestering microRNA‐103a to upregulate transcription factor RUNX1T1

2019 ◽  
Vol 105 (1) ◽  
pp. 75-87 ◽  
Author(s):  
Tao Sun ◽  
Peng Yang ◽  
Yunbin Gao
Keyword(s):  
Ovarian Cancer ◽  
Transcription Factor ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Long non-coding RNA XIST regulates ovarian cancer progression via modulating miR-335/BCL2L2 axis

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Qingjuan Meng ◽  
Ningning Wang ◽  
Guanglan Duan
Keyword(s):  
Ovarian Cancer ◽  
Cancer Cells ◽  
Luciferase Reporter ◽  
Migration And Invasion ◽  
Ovarian Cancer Cells ◽  
Human Ovarian Cancer ◽  
Invasion And Migration ◽  
Non Coding Rna ◽  
And Migration ◽  
Long Non Coding Rna

Abstract Background X inactivation-specific transcript (XIST) is the long non-coding RNA (lncRNA) related to cancer, which is involved in the development and progression of various types of tumor. However, up to now, the exact role and molecular mechanism of XIST in the progression of ovarian cancer are not clear. We studied the function of XIST in ovarian cancer cells and clinical tumor specimens. Methods RT-qPCR was performed to detect the expression levels of miR-335 and BCL2L2 in ovarian cancer cells and tissues. MTT and transwell assays were carried out to detect cell proliferation, migration, and invasion abilities. Western blot was performed to analyze the expression level of BCL2L2. The interaction between miR-335 and XIST/BCL2L2 was confirmed using a luciferase reporter assay. Results The inhibition of XIST can inhibit the proliferation invasion and migration of human ovarian cancer cells. In addition, the miR-335/BCL2L2 axis was involved in the functions of XIST in ovarian cancer cells. These results suggested that XIST could regulate tumor proliferation and invasion and migration via modulating miR-335/BCL2L2. Conclusion XIST might be a carcinogenic lncRNA in ovarian cancer by regulating miR-335, and it can serve as a therapeutic target in human ovarian cancer.

scholarly journals Plasma long non-coding RNA MALAT1 is associated with distant metastasis in patients with epithelial ovarian cancer

2016 ◽  
Vol 12 (2) ◽  
pp. 1361-1366 ◽  
Author(s):  
Qingjuan Chen ◽  
Yongyong Su ◽  
Xiaopeng He ◽  
Weian Zhao ◽  
Caixia Wu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Distant Metastasis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Long non-coding RNA CCAT1 promotes metastasis and poor prognosis in epithelial ovarian cancer

2017 ◽  
Vol 359 (1) ◽  
pp. 185-194 ◽  
Author(s):  
Yuan Cao ◽  
Huirong Shi ◽  
Fang Ren ◽  
Yanyan Jia ◽  
Ruitao Zhang
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Poor Prognosis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Long non-coding RNA PTPRG-AS1 promotes cell tumorigenicity in epithelial ovarian cancer by decoying microRNA-545-3p and consequently enhancing HDAC4 expression

2020 ◽  
Author(s):  
Juanjuan Shi ◽  
Xijian Xu ◽  
Dan Zhang ◽  
Jiuyan Zhang ◽  
Hui Yang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cell Proliferation ◽  
Tumor Growth ◽  
Epithelial Ovarian Cancer ◽  
Cell Lines ◽  
Luciferase Reporter ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Abstract Background: Long non-coding RNA PTPRG antisense RNA 1 (PTPRG-AS1) deregulation has been reported in various human malignancies and identified as an important modulator of cancer development. Few reports have focused on the detailed role of PTPRG-AS1 in epithelial ovarian cancer (EOC) and its underlying mechanism. This study aimed to determine the physiological function of PTPRG-AS1 in EOC. A series of experiments were also performed to identify the mechanisms through which PTPRG-AS1 exerts its function in EOC.Methods: Reverse transcription-quantitative polymerase chain reaction was used to determine PTPRG-AS1 expression in EOC tissues and cell lines. PTPRG-AS1 was silenced in EOC cells and studied with respect to cell proliferation, apoptosis, migration, and invasion in vitro and tumor growth in vivo. The putative miRNAs that target PTPRG-AS1 were predicted using bioinformatics analysis and further confirmed in luciferase reporter and RNA immunoprecipitation assays.Results: Our data verified the upregulation of PTPRG-AS1 in EOC tissues and cell lines. High PTPRG-AS1 expression was associated with shorter overall survival in patients with EOC. Functionally, EOC cell proliferation, migration, invasion in vitro, and tumor growth in vivo were suppressed by PTPRG-AS1 silencing. In contrast, cell apoptosis was promoted by loss of PTPRG-AS1. Regarding the mechanism, PTPRG-AS1 could serve as a competing endogenous RNA in EOC cells by decoying microRNA-545-3p (miR-545-3p), thereby elevating histone deacetylase 4 (HDAC4) expression. Furthermore, rescue experiments revealed that PTPRG-AS1 knockdown-mediated effects on EOC cells were, in part, counteracted by the inhibition of miR-545-3p or restoration of HDAC4.Conclusions: PTPRG-AS1 functioned as an oncogenic lncRNA that aggravated the malignancy of EOC through the miR-545-3p/HDAC4 ceRNA network. Thus, targeting the PTPRG-AS1/miR-545-3p/HDAC4 pathway may be a novel strategy for EOC anticancer therapy.

scholarly journals PCR-Free Detection of Long Non-Coding HOTAIR RNA in Ovarian Cancer Cell Lines and Plasma Samples

Cancers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2233
Author(s):  
Narshone Soda ◽  
Muhammad Umer ◽  
Navid Kashaninejad ◽  
Surasak Kasetsirikul ◽  
Richard Kline ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Dynamic Range ◽  
Cancer Cell Lines ◽  
Plasma Samples ◽  
Isolation And Purification ◽  
Non Coding Rna ◽  
Broad Dynamic Range ◽  
Long Non Coding Rna

Long non-coding RNA HOX transcript antisense intergenic RNA (HOTAIR) is one of the promising biomarkers that has widely been used in determining the stages of many cancers, including ovarian cancer. In cancer diagnostics, the two key analytical challenges for detecting long non-coding RNA biomarkers are i) the low concentration levels (nM to fM range) in which they are found and ii) the analytical method where broad dynamic range is required (four to six orders of magnitude) due to the large variation in expression levels for different HOTAIR RNAs. To meet these challenges, we report on a biosensing platform for the visual (colorimetric) estimation and subsequent electrochemical quantification of ovarian-cancer-specific HOTAIR using a screen-printed gold electrode (SPE-Au). Our assay utilizes a two-step strategy that involves (i) magnetic isolation and purification of target HOTAIR sequences and (ii) subsequent detection of isolated sequences using a sandwich hybridization coupled with horseradish peroxidase (HRP)-catalyzed reaction of 3,3′,5,5′-tetramethylbenzidine (TMB) in the presence of hydrogen peroxide. The assay achieved a detection limit of 1.0 fM HOTAIR in spiked buffer samples with excellent reproducibility (% RSD ≤ 5%, for n = 3). It was successfully applied to detect HOTAIR in cancer cell lines and a panel of plasma samples derived from patients with ovarian cancer. The analytical performance of the method was validated with standard RT-qPCR. We believe that the proof of concept assay reported here may find potential use in routine clinical settings for the screening of cancer-related lncRNAs.

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