Multidrug resistant lncRNA profile in chemotherapeutic sensitive and resistant ovarian cancer cells.
Juan XuJiacong WuChenyang FuFang TengSiyu LiuChencheng DaiRong ShenXuemei JiaPublished in: Journal of cellular physiology (2018)
Most ovarian cancer patients are chemosensitive initially, but finally relapse with acquired chemoresistance. Multidrug-resistance is the extremely terrible situation. The mechanism for the acquired chemoresistance of ovarian cancer patients is still not clear. LncRNAs have been recognized as the important regulator of a variety of biological processes, including the multidrug-resistant process. Here, we carried out the lncRNA sequencing of the ovarian cancer cell line A2780 and the paxitaxel resistant cell line A2780/PTX which is also cross resistant to the cisplatin and epirubicin. Through integrating the published data with the cisplatin resistant lncRNAs in ovarian cancer cell line or ovarian cancer patients, 5 up-regulated and 21 down-regulated lncRNAs are considered as the multidrug-resistant lncRNAs. By real-time PCR analysis, we confirmed the 5 up-regulated and 4 down-regulated multidrug resistant lncRNAs were similarly changed in both the multidrug resistant ovarian cancer cell lines and the multidrug resistant colon cancer cell lines. Furthermore, we conducted the lncRNA-mRNA co-expression network to predict the potential multidrug resistant lncRNAs' targets. Interestingly, the multidrug resistant genes ABCB1, ABCB4, ABCC3, and ABCG2 are all co-expressed with lncRNA CTD-2589M5.4. Our results provide the valuable information for the understanding of the lncRNA function in the multidrug resistant process.
Keyphrases
- multidrug resistant
- drug resistant
- gram negative
- acinetobacter baumannii
- klebsiella pneumoniae
- transcription factor
- long non coding rna
- genome wide identification
- network analysis
- end stage renal disease
- healthcare
- gene expression
- long noncoding rna
- chronic kidney disease
- genome wide analysis
- systematic review
- real time pcr
- randomized controlled trial
- ejection fraction
- prognostic factors
- dna methylation
- binding protein
- machine learning
- peritoneal dialysis
- pseudomonas aeruginosa
- electronic health record
- single cell
- meta analyses
- health information