Differential expression profiles of microRNAs as potential biomarkers for the early diagnosis of lung cancer

Oncology Reports
Yanqiu ZhangGeyu Liang

Abstract

Lung cancer is one of the most lethal malignancies worldwide. To reduce the high morbidity and mortality of the disease, sensitive and specific biomarkers for early detection are urgently needed. Tumor-specific microRNAs (miRNAs) seem to be potential biomarkers for the early diagnosis and treatment of cancer. In this study, the microarray of miRNAs and mRNAs on the same samples was performed and the intersection taken with The Cancer Genome Atlas (TCGA) lung cancer miRNA/RNAseq dataset. Then, miRNA-mRNA regulatory network was constructed to identify miRNA candidates associated with lung cancer through integrating gene expression and miRNA-target prediction. Furthermore, the expression levels of miRNA candidates were validated by stem-loop real-time reverse transcription PCR (qRT-PCR) in larger lung cancer population. The relationship between signature miRNAs and the risk of lung cancer were assessed by conditional logistic regression analysis. Diagnostic value of these miRNAs was determined by areas under receiver operating characteristic curves (ROC). The Affymetrix microarray analysis identified a total of 116 miRNAs and 502 mRNAs that could distinguish lung tumor tissues from adjacent non-tumor tissues, of which 70 miRNAs an...Continue Reading

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Citations

Mar 29, 2019·Journal of Clinical Medicine·Fiorella CalabresePaul Hofman
Oct 2, 2019·Current Molecular Medicine·Parisa NaeliHamed Mirzaei
Jan 7, 2019·BMC Dermatology·Mariya AksenenkoTatiana Ruksha
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Mar 2, 2021·Computers in Biology and Medicine·Ke ChenHongying Liu

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