Literature DB >> 23307259

Plasma microRNAs serve as novel potential biomarkers for early detection of gastric cancer.

Hui Cai1, Yuan Yuan, Yun-Fei Hao, Tian-Kang Guo, Xue Wei, Ying-Mei Zhang.   

Abstract

Recent studies have shown that microRNAs can be stably detected in human plasma and have the potential as non-invasive biomarkers for the diagnosis of cancers. This study evaluates the potential application of plasma microRNAs for the early detection of gastric cancer (GC). We first measured the plasma expression levels of 15 selected microRNAs (miR-1, -106a, -106b, -17-5p, -20a, -21, -221, -27a, -34, -376c, -378, -423-5p, -451, -486, -744) in 30 GC patients and 30 age- and gender-matched healthy controls and then validated those microRNAs that differentiating GC and controls in another 60 GC patients and 60 matched controls using quantitative reverse transcription-polymerase chain reaction. The areas under the receiver operating characteristic (ROC) curves were used to test the sensitivity and specificity of GC diagnosis using these identified plasma microRNAs. Three plasma microRNAs, miR-106b, miR-20a, and miR-221, were significantly elevated in GC patients than in healthy controls (P < 0.05). Furthermore, the areas under the ROC curves using miR-106b, miR-20a, and miR-221 for GC diagnosis were 0.7733 (95 % CI, 0.7758-0.8409), 0.8593 (95 % CI, 0.8046-0.9139), and 0.7960 (95 % CI, 0.7256-0.8664), respectively. Furthermore, these three microRNAs had a statistically significant elevation in GC patients compared with healthy controls at each of the four stages. However, there were no significant differences in the plasma levels of the three microRNAs among the four TNM stages (P > 0.05). Plasma miR-106b, miR-20a, and miR-221 have the potential as novel, non-invasive biomarkers for the early detection of GC.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23307259     DOI: 10.1007/s12032-012-0452-0

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  31 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  Prognostic value of a microRNA signature in nasopharyngeal carcinoma: a microRNA expression analysis.

Authors:  Na Liu; Nian-Yong Chen; Rui-Xue Cui; Wen-Fei Li; Yan Li; Rong-Rong Wei; Mei-Yin Zhang; Ying Sun; Bi-Jun Huang; Mo Chen; Qing-Mei He; Ning Jiang; Lei Chen; William C S Cho; Jing-Ping Yun; Jing Zeng; Li-Zhi Liu; Li Li; Ying Guo; Hui-Yun Wang; Jun Ma
Journal:  Lancet Oncol       Date:  2012-05-03       Impact factor: 41.316

Review 3.  Circulating microRNAs: a novel class of biomarkers to diagnose and monitor human cancers.

Authors:  Ke Zen; Chen-Yu Zhang
Journal:  Med Res Rev       Date:  2010-11-09       Impact factor: 12.944

4.  Relation between microRNA expression and progression and prognosis of gastric cancer: a microRNA expression analysis.

Authors:  Tetsuya Ueda; Stefano Volinia; Hiroshi Okumura; Masayoshi Shimizu; Cristian Taccioli; Simona Rossi; Hansjuerg Alder; Chang-gong Liu; Naohide Oue; Wataru Yasui; Kazuhiro Yoshida; Hiroki Sasaki; Sachiyo Nomura; Yasuyuki Seto; Michio Kaminishi; George A Calin; Carlo M Croce
Journal:  Lancet Oncol       Date:  2009-12-18       Impact factor: 41.316

5.  Unique microRNA molecular profiles in lung cancer diagnosis and prognosis.

Authors:  Nozomu Yanaihara; Natasha Caplen; Elise Bowman; Masahiro Seike; Kensuke Kumamoto; Ming Yi; Robert M Stephens; Aikou Okamoto; Jun Yokota; Tadao Tanaka; George Adrian Calin; Chang-Gong Liu; Carlo M Croce; Curtis C Harris
Journal:  Cancer Cell       Date:  2006-03       Impact factor: 31.743

6.  Molecular classifiers for gastric cancer and nonmalignant diseases of the gastric mucosa.

Authors:  Sibele I Meireles; Elier B Cristo; Alex F Carvalho; Roberto Hirata; Adriane Pelosof; Luciana I Gomes; Waleska K Martins; Maria D Begnami; Cláudia Zitron; André L Montagnini; Fernando A Soares; E Jordão Neves; Luiz F L Reis
Journal:  Cancer Res       Date:  2004-02-15       Impact factor: 12.701

7.  Circulating microRNAs in plasma of patients with gastric cancers.

Authors:  M Tsujiura; D Ichikawa; S Komatsu; A Shiozaki; H Takeshita; T Kosuga; H Konishi; R Morimura; K Deguchi; H Fujiwara; K Okamoto; E Otsuji
Journal:  Br J Cancer       Date:  2010-03-16       Impact factor: 7.640

8.  Gastric cancer.

Authors:  Henk H Hartgrink; Edwin P M Jansen; Nicole C T van Grieken; Cornelis J H van de Velde
Journal:  Lancet       Date:  2009-07-20       Impact factor: 79.321

9.  Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells.

Authors:  Hadi Valadi; Karin Ekström; Apostolos Bossios; Margareta Sjöstrand; James J Lee; Jan O Lötvall
Journal:  Nat Cell Biol       Date:  2007-05-07       Impact factor: 28.824

10.  Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases.

Authors:  Xi Chen; Yi Ba; Lijia Ma; Xing Cai; Yuan Yin; Kehui Wang; Jigang Guo; Yujing Zhang; Jiangning Chen; Xing Guo; Qibin Li; Xiaoying Li; Wenjing Wang; Yan Zhang; Jin Wang; Xueyuan Jiang; Yang Xiang; Chen Xu; Pingping Zheng; Juanbin Zhang; Ruiqiang Li; Hongjie Zhang; Xiaobin Shang; Ting Gong; Guang Ning; Jun Wang; Ke Zen; Junfeng Zhang; Chen-Yu Zhang
Journal:  Cell Res       Date:  2008-10       Impact factor: 25.617

View more
  55 in total

1.  Three dysregulated microRNAs in serum as novel biomarkers for gastric cancer screening.

Authors:  Hui Wang; Lei Wang; Zheng Wu; Rong Sun; Haifeng Jin; Jifeng Ma; Lili Liu; Rui Ling; Jun Yi; Ling Wang; Jiefang Bian; Jianghao Chen; Nanlin Li; Shifang Yuan; Jun Yun
Journal:  Med Oncol       Date:  2014-11-04       Impact factor: 3.064

2.  Plasma miR-221/222 Family as Novel Descriptive and Prognostic Biomarkers for Glioma.

Authors:  Rui Zhang; Bo Pang; Tao Xin; Hua Guo; Yi Xing; Shangchen Xu; Bin Feng; Bin Liu; Qi Pang
Journal:  Mol Neurobiol       Date:  2015-01-31       Impact factor: 5.590

3.  MicroRNA-200c and microRNA-141 as potential diagnostic and prognostic biomarkers for ovarian cancer.

Authors:  Ying-Chun Gao; Jie Wu
Journal:  Tumour Biol       Date:  2015-02-01

Review 4.  MicroRNA and signaling pathways in gastric cancer.

Authors:  Z Zhang; Z Li; Y Li; A Zang
Journal:  Cancer Gene Ther       Date:  2014-07-25       Impact factor: 5.987

Review 5.  DNA methylation and microRNA biomarkers for noninvasive detection of gastric and colorectal cancer.

Authors:  Yuji Toiyama; Yoshinaga Okugawa; Ajay Goel
Journal:  Biochem Biophys Res Commun       Date:  2014-08-13       Impact factor: 3.575

Review 6.  Identification of circulating microRNAs as novel potential biomarkers for gastric cancer detection: a systematic review and meta-analysis.

Authors:  Xingya Zhu; Mengmeng Lv; Hao Wang; Wenxian Guan
Journal:  Dig Dis Sci       Date:  2013-12-12       Impact factor: 3.199

7.  Plasma microRNA might as a potential biomarker for hepatocellular carcinoma and chronic liver disease screening.

Authors:  Li Jiang; Xue Li; Qi Cheng; Bin-Hao Zhang
Journal:  Tumour Biol       Date:  2015-04-17

8.  Diagnostic significance of miR-106a in gastric cancer.

Authors:  Xu Hou; Miao Zhang; Haiquan Qiao
Journal:  Int J Clin Exp Pathol       Date:  2015-10-01

Review 9.  Circulating microRNAs and long non-coding RNAs in gastric cancer diagnosis: An update and review.

Authors:  Ya-Kai Huang; Jian-Chun Yu
Journal:  World J Gastroenterol       Date:  2015-09-14       Impact factor: 5.742

10.  Gastric adenocarcinoma microRNA profiles in fixed tissue and in plasma reveal cancer-associated and Epstein-Barr virus-related expression patterns.

Authors:  Amanda L Treece; Daniel L Duncan; Weihua Tang; Sandra Elmore; Douglas R Morgan; Ricardo L Dominguez; Olga Speck; Michael O Meyers; Margaret L Gulley
Journal:  Lab Invest       Date:  2016-03-07       Impact factor: 5.662

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.