Determination of plasma microRNA for early detection of gastric cancer
Autor: | Aysegul Gorur, Musa Dirlik, Lokman Ayaz, Serin Akbayir, Nil Dogruer Unal, Hatice Yıldırım Yaroğlu, Şenay Balci Fidanci, Mehmet Sami Serin, Lülüfer Tamer |
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Rok vydání: | 2012 |
Předmět: |
Adult
Male Early detection Disease Biology Malignancy Bioinformatics medicine.disease_cause law.invention Risk Factors Stomach Neoplasms law microRNA Genetics medicine Humans Molecular Biology Early Detection of Cancer Aged Aged 80 and over RNA General Medicine Middle Aged medicine.disease MicroRNAs Tumor progression Case-Control Studies Cancer research Suppressor Female Transcriptome Carcinogenesis |
Zdroj: | Molecular Biology Reports. 40:2091-2096 |
ISSN: | 1573-4978 0301-4851 |
Popis: | Gastric cancer is the fourth most prevalent malignancy worldwide and remains the second most common cause of cancer-related death globally. Understanding the molecular structure of gastric carcinogenesis might identify new diagnostic and therapeutic strategies for this disease. Thus, early detection of gastric cancer is a key measure to reduce the mortality and improve the prognosis of gastric cancer. There have recently been several reports that microRNAs (miRNAs) circulate in highly stable, cell-free forms in blood. Because serum and plasma miRNAs are relatively easy to access, circulating miRNAs also have great potential to serve as non-invasive biomarkers. Although a number of miRNAs associated with gastric cancer have been identified, the underlying mechanism of these miRNAs in tumorigenesis and tumor progression remains to be investigated. The purpose of this study is to identify the potential of serum miRNAs as biomarkers for early detection of gastric cancer patients. RNA was isolated using the High Pure miRNA Isolation Kit (Roche) following the manufacturer’s protocol. cDNA and preamplification protocols were obtained from the isolated plasma miRNAs. The BioMark™ 96.96 Dynamic Array (Fluidigm Corporation) for real-time qPCR was used to simultaneously quantite the expression of 740 miRNAs. All statistical analyses were performed using the Biogazelle’s qbase PLUS 2.0 software. In this study, among 740 miRNAs that we analyzed only miR-195-5p was significantly (p |
Databáze: | OpenAIRE |
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