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Authors Liu X, Xu T, Hu X, Chen X, Zeng K, Sun L, Wang S
Received 24 November 2017
Accepted for publication 14 February 2018
Published 24 April 2018 Volume 2018:10 Pages 857—865
DOI https://doi.org/10.2147/CMAR.S158016
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 3
Editor who approved publication: Professor Nakshatri
Purpose: Globally, colorectal cancer (CRC) is one of the most common
cancers with high mortality. Although CRC patients in stages I–II are curable
after surgical resection, due to the lack of sensitive and specific biomarkers,
many patients are in the advanced stages when diagnosed. This study aimed to
investigate whether circulating miRNAs in plasma could act as biomarkers for
early CRC diagnosis.
Patients and methods: All healthy subjects and patients were from
Nanjing First Hospital. We first selected 2 differential miRNAs by integrated
analysis of 4 Gene Expression Omnibus (GEO) data sets and The Cancer Genome
Atlas (TCGA) database. Next, the expression of these 2 miRNAs in tissue and
plasma samples were examined through quantitative real-time polymerase chain
reaction. Training phase and validation phase were designed to investigate the
diagnostic utility of these differential miRNAs using receiver operating
characteristic (ROC) curve analysis.
Results: After integrated analysis of 4 GEO and TCGA
databases, upregulated miR-182 and miR-20a were selected to further investigate
their diagnostic potential for CRC. We discovered that miR-182 and miR-20a were
upregulated in CRC tissue and plasma and that circulating miR-182 and miR-20a
in the plasma of CRC patients were tumor derived. The area under the ROC curve
(AUC) of circulating miR-182 was 0.929 (95% CI 0.875–0.983) in the training
phase and 0.891 (95% CI 0.821–0.961) in the validation phase. The AUC of
circulating miR-20a expression was 0.801 (95% CI 0.695–0.906) in the training
phase and 0.736 (95% CI 0.631–0.842) in the validation phase.
Conclusion: Circulating miR-182 is a novel potential
biomarker for early CRC diagnosis.
Keywords: miRNAs,
colorectal cancer, GEO database, TCGA database, biomarker