scholarly journals Comprehensive analysis of competitive endogenous RNAs networks reveals potential prognostic biomarkers associated with epithelial ovarian cancer

2021 ◽  
Vol 22 (6) ◽  
Author(s):  
Wenjuan Wu ◽  
Chunhui Gao ◽  
Lipai Chen ◽  
Donghui Zhang ◽  
Suiqun Guo
2021 ◽  
Vol 11 ◽  
Author(s):  
Pawel Mach ◽  
Rainer Kimmig ◽  
Sabine Kasimir-Bauer ◽  
Paul Buderath

IntroductionEpithelial ovarian cancer (EOC) is the deadliest gynecologic malignancy worldwide. Reliable predictive biomarkers are urgently needed to estimate the risk of relapse and to improve treatment management. Soluble immune-checkpoints in EOC are promising molecules serving as prognostic biomarkers accessible via liquid biopsy. We thus, aimed at elucidating the role of sB7-H4 in EOC.Material and MethodsWe analyzed soluble serum B7-H4 (sB7-H4) using ELISA and circulating tumor cells (CTCs) in blood applying the AdnaTest OvarianCancer in 85 patients suffering from advanced EOC. Findings were correlated with clinical parameters as well as survival data.ResultssB7-H4 was detectable in 14.1% patients, CTCs in 32.9% patients and simultaneous presence of CTCs and sB7-H4 was found in 7% patients, respectively. Although no association between sB7-H4 and CTC could be documented, each of them served as independent predictive factors for overall survival (OS).ConclusionsB7-H4 and CTCs are independent prognostic biomarkers for impaired survival in EOC. As they are easily accessible via liquid biopsy, they may be of potential benefit for the prediction of therapy response and survival for EOC patients.


2009 ◽  
Vol 8 (10) ◽  
pp. 4705-4713 ◽  
Author(s):  
C. Geeth Gunawardana ◽  
Cynthia Kuk ◽  
Chris R. Smith ◽  
Ihor Batruch ◽  
Antoninus Soosaipillai ◽  
...  

2018 ◽  
Author(s):  
Shin-Wha Lee ◽  
Min-Je Kim ◽  
Ju-hyun Kim ◽  
Young-Jae Lee ◽  
Yong-Man Kim ◽  
...  

Author(s):  
Yuao Deng ◽  
Longyang Liu ◽  
Weifeng Feng ◽  
Zhongqiu Lin ◽  
Yingxia Ning ◽  
...  

Background: The prognosis of epithelial ovarian cancer (EOC) is poor, but the prognostic biomarkers are neither sensitive nor specific. Therefore, it is very important to search novel prognostic biomarkers for EOC. Objectives: The present study aimed to investigate myosin light chain 9(MYL9) expression in epithelial ovarian cancer (EOC) tissues (including paraffin-embedded and fresh tissue samples) and its relationship with clinicopathological characteristics, as well as its potential prognostic value in patients with EOC. Methods: Between March 2009 and December 2018, all of 184 paraffin-embedded cancer tissues from patients with EOC and 41 paratumor tissues, pathologically confirmed at the Memorial Hospital of Sun Yat-sen University and Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, were collected for the present study and were assessed for MYL9 protein expression patterns using immunohistochemistry (IHC). Furthermore, from August 2013 to November 2019, 16 fresh EOC tissues and their paired paratumor tissues, pathologically confirmed at the Integrated Hospital of Traditional Chinese Medicine, Southern Medical University were analyzed using reverse-transcription quantitative PCR (RT-qPCR) to detect MYL9 mRNA expression levels. Results: The results showed that MYL9 expression was higher in cancer tissues compared with that in paratumor tissues, and MYL9 overexpression was associated with shorter recurrence free survival (RFS) and overall survival (OS) of EOC patients. Furthermore, multivariate Cox model analysis indicated that MYL9 overexpression was an independent poor survival prediction in patients with EOC. Conclusion: MYL9 is upregulated in EOC and may serve as a useful patent of prognostic biomarker in EOC, and it may demonstrate an important value for the clinical treatment and supervision of patients with EOC.


PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e91000 ◽  
Author(s):  
Katia Y. Cáceres-Gorriti ◽  
Euridice Carmona ◽  
Véronique Barrès ◽  
Kurosh Rahimi ◽  
Isabelle J. Létourneau ◽  
...  

2020 ◽  
Vol 159 ◽  
pp. 346-347
Author(s):  
W.Y. Hwang ◽  
S.I. Kim ◽  
M. Lee ◽  
K. Kim ◽  
J.H. No ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document