Literature DB >> 33374923

A Comprehensive Molecular and Clinical Analysis of the piRNA Pathway Genes in Ovarian Cancer.

Eunice Lee1, Noor A Lokman2,3, Martin K Oehler2,3,4, Carmela Ricciardelli2, Frank Grutzner1.   

Abstract

Ovarian cancer (OC) is one of the most lethal gynecological malignancies, yet molecular mechanisms underlying its origin and progression remain poorly understood. With increasing reports of piRNA pathway deregulation in various cancers, we aimed to better understand its role in OC through a comprehensive analysis of key genes: PIWIL1-4, DDX4, HENMT1, MAEL, PLD6, TDRD1,9 and mutants of PIWIL1 (P1∆17) and PIWIL2 (PL2L60). High-throughput qRT-PCR (n = 45) and CSIOVDB (n = 3431) showed differential gene expression when comparing benign ovarian tumors, low grade OC and high grade serous OC (HGSOC). Significant correlation of disparate piRNA pathway gene expression levels with better progression free, post-progression free and overall survival suggests a complex role of this pathway in OC. We discovered PIWIL3 expression in chemosensitive but not chemoresistant primary HGSOC cells, providing a potential target against chemoresistant disease. As a first, we revealed that follicle stimulating hormone increased PIWIL2 expression in OV-90 cells. PIWIL1, P1∆17, PIWIL2, PL2L60 and MAEL overexpression in vitro and in vivo decreased motility and invasion of OVCAR-3 and OV-90 cells. Interestingly, P1∆17 and PL2L60, induced increased motility and invasion compared to PIWIL1 and PIWIL2. Our results in HGSOC highlight the intricate role piRNA pathway genes play in the development of malignant neoplasms.

Entities:  

Keywords:  chemoresistance; follicle stimulating hormone; invasion; ovarian cancer; patient survival; piRNA pathway; therapeutic targets

Year:  2020        PMID: 33374923     DOI: 10.3390/cancers13010004

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  1 in total

1.  Exploring Potential Regulatory Anesthetic Drugs Based on RNA Binding Protein and Constructing CESC Prognosis Model: A Study Based on TCGA Database.

Authors:  Ying Zheng; Xiao Wen Meng; Jian Ping Yang
Journal:  Front Surg       Date:  2022-04-05
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.