Browsing by Author "Bayoumy, Walid"
Now showing 1 - 1 of 1
- Results Per Page
- Sort Options
Item Tissue-based long non-coding RNAs “PVT1, TUG1 and MEG3” signature predicts Cisplatin resistance in ovarian Cancer(Elsevier Inc.Mansy, 2020-08) El-Khazragy, Nashwa; Mohammed, Hayam Fathy; Yassin, Mohamed; Elghoneimy, K.K.; Bayoumy, Walid; Hewety, Amr; EL Magdoub, Hekmat M.; Elayat, Wael; Zaki, Walid; Safwat, Gehan; Mosa, Mai; Zedan, Khouloud; Salem, Salema; Bannunah, Azzah M.; Mansy, AzzaObjectives: The current study aimed to investigate the potentiality of three lncRNAs “Plasmacytoma variant translocation 1(lnc-PVT1), Taurine upregulated gene type 1(lnc- TUG1) and Maternally expressed gene 3 (lnc-MEG-3)”, to predict Cisplatin resistance in ovarian cancer (OC), in addition, to access their prognostic significance. Methods: The expression level of lncRNAs were measured in 100 formalin-fixed paraffin- embedded tissue (FFET) samples of OC patients who were treated by Cisplatin-based chemotherapy using qPCR.Results: The results showed that lnc_PVT1 was significantly higher by 2.3 folds in Cisplatin resistant tissues, while, lnc-TUG1 and lnc-MEG3 were downregulated by 1.2 and 3 folds, respectively. In addition, the three lncRNAs exhibited high sensitivity and specificity in predicting chemo-resistance and they were negatively associated with OS and progression- free survival (p<0.001). Conclusion: The lnc-PVT1, lnc-TUG1, and lnc-MEG3 transcriptome signatures could be used for predicting resistance to Cisplatin in OC patients.