A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression

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作者
Chia-Hsun Hsieh
Wei-Ming Chen
Yi-Shan Hsieh
Ya-Chun Fan
Pok Eric Yang
Shih-Ting Kang
Chun-Ta Liao
机构
[1] Chang Gung Memorial Hospital,Division of Hematology
[2] Quark Biosciences,Oncology, Department of Internal Medicine
[3] Inc.,Department of Application Development
[4] Zhubei City,Department of Otorhinolaryngology, Head & Neck Surgery
[5] Linkou Chang Gung Memorial Hospital and Chang Gung University,undefined
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The study of miRNAs and their roles as non-invasive biomarkers has been intensely conducted in cancer diseases over the past decade. Various platforms, ranging from conventional qPCRs to Next Generation Sequencers (NGS), have been widely used to analyze miRNA expression. Here we introduced a novel platform, PanelChip™ Analysis System, which provides a sensitive solution for the analysis of miRNA levels in blood. After conducting miRQC analysis, the system’s analytical performance compared favorably against similar nanoscale qPCR-based array technologies. Because PanelChip™ requires only a minimal amount of miRNA for analysis, we used it to screen for potential diagnostic biomarkers in the plasma of patients with oral cavity squamous cell carcinoma (OSCC). Combining the platform with a machine learning algorithm, we were able to discover miRNA expression patterns capable of separating healthy subjects from patients with OSCC.
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