Identification of serum microRNAs as novel non-invasive biomarkers for early detection of gastric cancer.

<h4>Background</h4>To investigate the potential of serum miRNAs as biomarkers for early detection of gastric cancer (GC), a population-based study was conducted in Linqu, a high-risk area of GC in China.<h4>Methodology/principal findings</h4>All subjects were selected from tw...

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Main Authors: Ming-yang Song, Kai-feng Pan, Hui-juan Su, Lian Zhang, Jun-ling Ma, Ji-you Li, Yasuhito Yuasa, Daehee Kang, Yong Sung Kim, Wei-cheng You
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22432036/pdf/?tool=EBI
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author Ming-yang Song
Kai-feng Pan
Hui-juan Su
Lian Zhang
Jun-ling Ma
Ji-you Li
Yasuhito Yuasa
Daehee Kang
Yong Sung Kim
Wei-cheng You
author_facet Ming-yang Song
Kai-feng Pan
Hui-juan Su
Lian Zhang
Jun-ling Ma
Ji-you Li
Yasuhito Yuasa
Daehee Kang
Yong Sung Kim
Wei-cheng You
author_sort Ming-yang Song
collection DOAJ
description <h4>Background</h4>To investigate the potential of serum miRNAs as biomarkers for early detection of gastric cancer (GC), a population-based study was conducted in Linqu, a high-risk area of GC in China.<h4>Methodology/principal findings</h4>All subjects were selected from two large cohort studies. Differential miRNAs were identified in serum pools of GC and control using TaqMan low density array, and validated in individual from 82 pairs of GC and control, and 46 pairs of dysplasia and control by real-time quantitative reverse transcription-polymerase chain reaction. The temporal trends of identified serum miRNA expression were further explored in a retrospective study on 58 GC patients who had at least one pre-GC diagnosis serum sample based on the long-term follow-up population. The miRNA profiling results demonstrated that 16 miRNAs were markedly upregulated in GC patients compared to controls. Further validation identified a panel of three serum miRNAs (miR-221, miR-744, and miR-376c) as potential biomarkers for GC detection, and receiver operating characteristic (ROC) curve-based risk assessment analysis revealed that this panel could distinguish GCs from controls with 82.4% sensitivity and 58.8% specificity. MiR-221 and miR-376c demonstrated significantly positive correlation with poor differentiation of GC, and miR-221 displayed higher level in dysplasia than in control. Furthermore, the retrospective study revealed an increasing trend of these three miRNA levels during GC development (P for trend<0.05), and this panel could classify serum samples collected up to 5 years ahead of clinical GC diagnosis with 79.3% overall accuracy.<h4>Conclusions/significance</h4>These data suggest that serum miR-221, miR-376c and miR-744 have strong potential as novel non-invasive biomarkers for early detection of GC.
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spelling doaj.art-1acedf37d5794d9f873919ffa3f99ee82022-12-21T20:31:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0173e3360810.1371/journal.pone.0033608Identification of serum microRNAs as novel non-invasive biomarkers for early detection of gastric cancer.Ming-yang SongKai-feng PanHui-juan SuLian ZhangJun-ling MaJi-you LiYasuhito YuasaDaehee KangYong Sung KimWei-cheng You<h4>Background</h4>To investigate the potential of serum miRNAs as biomarkers for early detection of gastric cancer (GC), a population-based study was conducted in Linqu, a high-risk area of GC in China.<h4>Methodology/principal findings</h4>All subjects were selected from two large cohort studies. Differential miRNAs were identified in serum pools of GC and control using TaqMan low density array, and validated in individual from 82 pairs of GC and control, and 46 pairs of dysplasia and control by real-time quantitative reverse transcription-polymerase chain reaction. The temporal trends of identified serum miRNA expression were further explored in a retrospective study on 58 GC patients who had at least one pre-GC diagnosis serum sample based on the long-term follow-up population. The miRNA profiling results demonstrated that 16 miRNAs were markedly upregulated in GC patients compared to controls. Further validation identified a panel of three serum miRNAs (miR-221, miR-744, and miR-376c) as potential biomarkers for GC detection, and receiver operating characteristic (ROC) curve-based risk assessment analysis revealed that this panel could distinguish GCs from controls with 82.4% sensitivity and 58.8% specificity. MiR-221 and miR-376c demonstrated significantly positive correlation with poor differentiation of GC, and miR-221 displayed higher level in dysplasia than in control. Furthermore, the retrospective study revealed an increasing trend of these three miRNA levels during GC development (P for trend<0.05), and this panel could classify serum samples collected up to 5 years ahead of clinical GC diagnosis with 79.3% overall accuracy.<h4>Conclusions/significance</h4>These data suggest that serum miR-221, miR-376c and miR-744 have strong potential as novel non-invasive biomarkers for early detection of GC.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22432036/pdf/?tool=EBI
spellingShingle Ming-yang Song
Kai-feng Pan
Hui-juan Su
Lian Zhang
Jun-ling Ma
Ji-you Li
Yasuhito Yuasa
Daehee Kang
Yong Sung Kim
Wei-cheng You
Identification of serum microRNAs as novel non-invasive biomarkers for early detection of gastric cancer.
PLoS ONE
title Identification of serum microRNAs as novel non-invasive biomarkers for early detection of gastric cancer.
title_full Identification of serum microRNAs as novel non-invasive biomarkers for early detection of gastric cancer.
title_fullStr Identification of serum microRNAs as novel non-invasive biomarkers for early detection of gastric cancer.
title_full_unstemmed Identification of serum microRNAs as novel non-invasive biomarkers for early detection of gastric cancer.
title_short Identification of serum microRNAs as novel non-invasive biomarkers for early detection of gastric cancer.
title_sort identification of serum micrornas as novel non invasive biomarkers for early detection of gastric cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22432036/pdf/?tool=EBI
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