The Promising Signatures of Circulating microRNA-145 in Epithelial Ovarian Cancer Patients

(E-pub Ahead of Print)

Author(s): Mariyam Zuberi, Rashid Mir, Imran Khan, Jamsheed Javid, Sameer Ahmad Guru, Musadiq Bhat, Mamta Pervin Sumi, Imtiyaz Ahmad, Mirza Masroor, Prasant Yadav, Sreenivas Vishnubhatla, Alpana Saxena*.

Journal Name: MicroRNA

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Abstract:

Background: Epithelial ovarian cancer continues to be a deleterious threat to women as it is asymptomatic and is typically detected in advanced stages. Cogent non-invasive biomarkers are therefore needed which are effective in apprehending the disease in early stages. Recently, miRNA deregulation has shown a promising magnitude in ovarian cancer tumorigenesis. miRNA-145(miR-145) is beginning to be understood for its possible role in cancer development and progression. In this study, we identified the clinicopathological hallmarks altered owing to the downexpression of serum miR-145 in EOC.

Methods: 70 serum samples from histopathologically confirmed EOC patients and 70 controls were collected. Total RNA from serum was isolated by Trizol method, polyadenylated and reverse transcribed into cDNA. Expression level of miR-145 was detected by miRNA qRT-PCR using RNU6B snRNA as reference.

Results: The alliance of miR-145 profiling amongst patients and controls established itself to be conspicuous with a significant p-value (p<0.0001). A positive conglomeration (p=0.04) of miR-145 profiling was manifested with histopathological grade. Receiver Operating Characteristic (ROC) curve highlights the diagnostic potential and makes it imminent with a robust Area Under the curve (AUC). A positive correlation with the ROC curve was also noted for histological grade, FIGO stage, distant metastasis, lymph node status and survival.

Conclusion: Our results propose that miR-145 down regulation might be a possible touchstone for disease progression and be identified as a diagnostic marker and predict disease outcome in EOC patients.

Keywords: clinicopathological, diagnosis, expression, prognosis, quantitative, non-invasive

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(E-pub Ahead of Print)
DOI: 10.2174/2211536608666190225111234
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