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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Diagnostic Potential of lncRNA AC073352.1 and YBX1 as Biomarkers for Breast Cancer Detection
Mandana Pouladzadeh1, Nika Parsi2, Hossein Karimpourian3
1Department of Emergency Medicine, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Abstract:
Introduction: Breast cancer is a common cancer in women, often linked to reduced survival in advanced stages. Recently, lncRNAs have gained attention as potential biomarkers for early detection. Among them, lncRNA AC073352.1 and its target protein Y-box 1 (YBX1) are associated with breast cancer progression and are promising diagnostic tools for early-stage detection. Materials and Methods: This study included 45 newly diagnosed breast cancer patients and 45 healthy controls from Shafa Hospital. Serum was separated from the collected blood samples, and total RNA was extracted and reverse-transcribed into cDNA. Expression levels of lncRNA AC073352.1 and YBX1 were quantified using SYBR Green-based real-time polymerase chain reaction. Their diagnostic performance was assessed by ROC curve analysis. Results: The study demonstrated that the expression levels of lncRNA AC073352.1 and YBX1 were significantly higher in breast cancer patients compared to the control group. ROC curve analysis indicated that AC073352.1 and YBX1 had suitable sensitivity and specificity for breast cancer detection. Additionally, a significant positive correlation was found between the expression of these two markers in patients, suggesting the possibility of a shared regulatory pathway. Conclusion: lncRNA AC073352.1 and YBX1 are promising biomarkers for early breast cancer detection, potentially enhancing diagnostic accuracy when used in combination with other methods.
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