scholarly journals Low expression of circular RNA hsa_circ_0078607 predicts poor prognosis in high-grade serous ovarian cancer

2020 ◽  
Author(s):  
Nan Zhang ◽  
Zhiyou Yang ◽  
Yue Jin ◽  
Shanshan Cheng ◽  
Jiani Yang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Patients ◽  
Cancer Progression ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Prognostic Indicator ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Diagnosis And Prognosis ◽  
Low Expression

Abstract Background Ovarian cancer remains one of the most lethal malignancies in women which is typically diagnosed at a late stage and has no effective screening strategy. It is essential to explore novel biomarkers for the diagnosis and prognosis of ovarian cancer, as well as therapeutic targets. Recent studies have shown that circRNAs participate in ovarian cancer progression by regulating various processes and being able to act as potential biomarkers for ovarian cancer diagnosis and prognosis. In the present study we aimed to explore the prognostic role of circ_0078607 in high-grade serous ovarian cancer. Results The expression of circ_0078607 in 49 high-grade serous ovarian cancer and adjacent non-cancerous tissue samples were detected by quantitative real-time polymerase chain reaction (qRT-PCR). We noticed that circ_0078607 expression was significantly downregulated in ovarian cancer tissues compared with adjacent non-cancerous tissues. Besides, patients with low circ_0078607 expression exhibited parameters associated with poor prognosis, including advanced FIGO stage and higher serum CA125 level. Kaplan-Meier survival curve analysis showed that both progression-free survival and overall survival were significantly shortened in patients with low circ_0078607 expression. Cox regression model analysis showed that low expression of circ_0078607 was an adverse prognostic indicator for high-grade serous ovarian cancer patients. Conclusions Low expression of circ_0078607 might be an adverse prognostic indicator for high-grade serous ovarian cancer patients.

scholarly journals PCNA-associated factor P15PAF, targeted by FOXM1, predicts poor prognosis in high-grade serous ovarian cancer patients

2018 ◽  
Vol 143 (11) ◽  
pp. 2973-2984 ◽  
Author(s):  
Chengjuan Jin ◽  
Zhaojian Liu ◽  
Yingwei Li ◽  
Hualei Bu ◽  
Yu Wang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Patients ◽  
Poor Prognosis ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Associated Factor

scholarly journals Pericytes Promote Malignant Ovarian Cancer Progression in Mice and Predict Poor Prognosis in Serous Ovarian Cancer Patients

2015 ◽  
Vol 22 (7) ◽  
pp. 1813-1824 ◽  
Author(s):  
Devbarna Sinha ◽  
Lynn Chong ◽  
Joshy George ◽  
Holger Schlüter ◽  
Susann Mönchgesang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Patients ◽  
Cancer Progression ◽  
Poor Prognosis ◽  
Serous Ovarian Cancer

scholarly journals Low Expression of Circular RNA hsa_circ_0078607 Predicts Poor Prognosis in High-Grade Serous Ovarian Cancer

2021 ◽  
Vol Volume 13 ◽  
pp. 2877-2883
Author(s):  
Nan Zhang ◽  
Zhiyou Yang ◽  
Yue Jin ◽  
Shanshan Cheng ◽  
Jiani Yang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Poor Prognosis ◽  
Circular Rna ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Low Expression

Molecular predictors of the outcome of paclitaxel plus carboplatin neoadjuvant therapy in high-grade serous ovarian cancer patients

2021 ◽  
Author(s):  
Anna P. Sokolenko ◽  
Tatiana V. Gorodnova ◽  
Ilya V. Bizin ◽  
Ekaterina Sh. Kuligina ◽  
Khristina B. Kotiv ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Neoadjuvant Therapy ◽  
Cancer Patients ◽  
High Grade ◽  
Serous Ovarian Cancer

scholarly journals Oncogenic Role of miR-200c-3p in High-Grade Serous Ovarian Cancer Progression via Targeting the 3′-Untranslated Region of DLC1

2021 ◽  
Vol 18 (11) ◽  
pp. 5741
Author(s):  
Sheril June Ankasha ◽  
Mohamad Nasir Shafiee ◽  
Norhazlina Abdul Wahab ◽  
Raja Affendi Raja Ali ◽  
Norfilza Mohd Mokhtar
Keyword(s):  
Ovarian Cancer ◽  
Cancer Progression ◽  
Untranslated Region ◽  
Luciferase Reporter ◽  
Clinical Samples ◽  
Binding Motif ◽  
Skov3 Cell ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Dlc1 Expression

High-grade serous ovarian cancer (HGSC) is the most common ovarian cancer with highly metastatic properties. A small non-coding RNA, microRNA (miRNA) was discovered to be a major regulator in many types of cancers through binding at the 3′-untranslated region (3′UTR), leading to degradation of the mRNA. In this study, we sought to investigate the underlying mechanisms involved in the dysregulation of miR-200c-3p in HGSC progression and metastasis. We identified the upregulation of miR-200c-3p expression in different stages of HGSC clinical samples and the downregulation of the tumor suppressor gene, Deleted in Liver Cancer 1 (DLC1), expression. Over expression of miR-200c-3p in HGSC cell lines downregulated DLC1 but upregulated the epithelial marker, E-cadherin (CDH1). Based on in silico analysis, two putative binding sites were found within the 3′UTR of DLC1, and we confirmed the direct binding of miR-200c-3p to the target binding motif at position 1488–1495 bp of 3′UTR of DLC1 by luciferase reporter assay in a SKOV3 cell line co-transfected with vectors and miR-200c-3p mimic. These data showed that miR-200c-3p regulated the progression of HGSC by regulating DLC1 expression post-transcription and can be considered as a promising target for therapeutic purposes.

scholarly journals High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Min Li ◽  
Xue Cheng ◽  
Rong Rong ◽  
Yan Gao ◽  
Xiuwu Tang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cox Regression ◽  
Paraffin Section ◽  
Progression Free Survival ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Systematic Analysis ◽  
Cox Regression Analysis ◽  
Genes Expression ◽  
High Level

Abstract Background High-grade serous ovarian cancer (HGSOC) is a fatal form of ovarian cancer. Previous studies indicated some potential biomarkers for clinical evaluation of HGSOC prognosis. However, there is a lack of systematic analysis of different expression genes (DEGs) to screen and detect significant biomarkers of HGSOC. Methods TCGA database was conducted to analyze relevant genes expression in HGSOC. Outcomes of candidate genes expression, including overall survival (OS) and progression-free survival (PFS), were calculated by Cox regression analysis for hazard rates (HR). Histopathological investigation of the identified genes was carried out in 151 Chinese HGSOC patients to validate gene expression in different stages of HGSOC. Results Of all 57,331 genes that were analyzed, FAP was identified as the only novel gene that significantly contributed to both OS and PFS of HGSOC. In addition, FAP had a consistent expression profile between carcinoma-paracarcinoma and early-advanced stages of HGSOC. Immunological tests in paraffin section also confirmed that up-regulation of FAP was present in advanced stage HGSOC patients. Prediction of FAP network association suggested that FN1 could be a potential downstream gene which further influenced HGSOC survival. Conclusions High-level expression of FAP was associated with poor prognosis of HGSOC via FN1 pathway.

scholarly journals Altered expression of different GalNAc-transferases is associated with disease progression and poor prognosis in women with high-grade serous ovarian cancer

2017 ◽  
Vol 51 (6) ◽  
pp. 1887-1897 ◽  
Author(s):  
Razan Sheta ◽  
Magdalena Bachvarova ◽  
Marie Plante ◽  
Jean Gregoire ◽  
Marie-Claude Renaud ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Disease Progression ◽  
Poor Prognosis ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Altered Expression

scholarly journals Promoter Methylation of the MGRN1 Gene Predicts Prognosis and Response to Chemotherapy of High-Grade Serous Ovarian Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiao-fei Li ◽  
Hai-yan Sun ◽  
Tian Hua ◽  
Hai-bo Zhang ◽  
Yun-jie Tian ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Promoter Region ◽  
Upstream Region ◽  
Platinum Resistance ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Kaplan Meier ◽  
Response To Chemotherapy ◽  
Low Expression

Aberrant DNA methylation is considered to play a critical role in the chemoresistance of epithelial ovarian cancer (EOC). In this study, we explored the relationship between hypermethylation of the Mahogunin Ring Finger 1 (MGRN1) gene promoter and primary chemoresistance and clinical outcomes in high-grade serous ovarian cancer (HGSOC) patients. The MALDI-TOF mass spectrometry assays revealed a strong association between hypermethylation of the MGRN1 upstream region and platinum resistance in HGSOC patients. Spearman’s correlation analysis revealed a significantly negative connection between the methylation level of MGRN1 and its expression in HGSOC. In vitro analysis demonstrated that knockdown of MGRN1 reduced the sensitivity of cells to cisplatin and that expression of EGR1 was significantly decreased in SKOV3 cells with low levels of MGRN1 expression. Similarly, EGR1 mRNA expression was lower in platinum-resistant HGSOC patients and was positively correlated with MGRN1 mRNA expression. Kaplan-Meier analyses showed that high methylation of the MGRN1 promoter region and low expression of MGRN1 were associated with worse survival of HGSOC patients. In multivariable models, low MGRN1 expression was an independent factor predicting poor outcome. Furthermore, low expression of EGR1 was also been confirmed to be significantly related to the poor prognosis of HGSOC patients by Kaplan-Meier. The hypermethylation of the MGRN1 promoter region and low expression of MGRN1 were associated with platinum resistance and poor outcomes in HGSOC patients, probably by altering EGR1 expression.

Plasmin(ogen) serves as a favorable biomarker for prediction of survival in advanced high-grade serous ovarian cancer

2017 ◽  
Vol 398 (7) ◽  
pp. 765-773 ◽  
Author(s):  
Shuo Zhao ◽  
Julia Dorn ◽  
Rudolf Napieralski ◽  
Axel Walch ◽  
Sandra Diersch ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cox Regression ◽  
Multivariable Analysis ◽  
Positive Staining ◽  
Mrna Levels ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Data Set ◽  
Cox Regression Analysis ◽  
Kaplan Meier

Abstract In serous ovarian cancer, the clinical relevance of tumor cell-expressed plasmin(ogen) (PLG) has not yet been evaluated. Due to its proteolytic activity, plasmin supports tumorigenesis, however, angiostatin(-like) fragments, derived from PLG, can also function as potent anti-tumorigenic factors. In the present study, we assessed PLG protein expression in 103 cases of advanced high-grade serous ovarian cancer (FIGO III/IV) by immunohistochemistry (IHC). In 70/103 cases, positive staining of tumor cells was observed. In univariate Cox regression analysis, PLG staining was positively associated with prolonged overall survival (OS) [hazard ratio (HR)=0.59, p=0.026] of the patients. In multivariable analysis, PLG, together with residual tumor mass, remained a statistically significant independent prognostic marker (HR=0.49, p=0.009). In another small patient cohort (n=29), we assessed mRNA expression levels of PLG by quantitative PCR. Here, elevated PLG mRNA levels were also significantly associated with prolonged OS of patients (Kaplan-Meier analysis; p=0.001). This finding was validated by in silico analysis of a microarray data set (n=398) from The Cancer Genome Atlas (Kaplan-Meier analysis; p=0.031). In summary, these data indicate that elevated PLG expression represents a favorable prognostic biomarker in advanced (FIGO III/IV) high-grade serous ovarian cancer.

Sign in / Sign up

Export Citation Format

Share Document