Literature DB >> 26201634

Serum miR-483-5p as a potential biomarker to detect hepatocellular carcinoma.

Zhoujing Zhang1, Shengxiang Ge2, Xiaomin Wang3, Quan Yuan2, Qiang Yan2, Huiming Ye1, Yaojian Che2, Yanyan Lin1, Jun Zhang2, Pingguo Liu4.   

Abstract

BACKGROUND AND GOALS: There are no highly sensitive and specific minimally invasive biomarkers for hepatocellular carcinoma (HCC) to date. The objective of this study was to identify serum microRNAs (miRNAs) as potential HCC biomarkers.
METHODS: Using miRCURY LNA™ microRNA arrays, the levels of circulating miRNAs in the serum of patients with HCC were compared and controls were matched. Then 253 subjects (112 HCC, 85 chronic hepatitis B [CHB], and 56 healthy controls) were recruited and 12 serum miRNAs were compared by quantitative real-time polymerase chain reaction (qRT-PCR). It was followed by the comparison of serum miRNA concentrations before and after the surgical resection in HCC group.
RESULTS: Median levels of miR-483-5p and miR-500a were higher in HCC patients than in patients with CHB and in healthy controls (p < 0.0001), but there were no differences between CHB patients and healthy controls (p > 0.05) and miR-483-5p levels were significantly reduced in serum samples obtained 30 days after surgical resection (p < 0.0001). The area under receiver operating characteristic curves of miR-483-5p and miR-500a was 74% (cutoff [Ct] value = 2.824, sensitivity = 74%, and specificity = 66%) and 66% (Ct value = 1.830, sensitivity = 74%, and specificity = 51%) for the prediction of HCC, respectively. In detecting HCC, combining α-fetoprotein (AFP) and serum miR-483-5p (sensitivity = 81% and specificity = 83%) was better than AFP alone (sensitivity = 78%, specificity = 70%).
CONCLUSION: Our observations suggest that serum miR-483-5p and miR-500a might serve as novel, noninvasive biomarkers for HCC. Serum miR-483-5p might complement AFP in detecting HCC.

Entities:  

Keywords:  Biomarker; Hepatocellular carcinoma; Microrna; Serum; miR-483-5p

Year:  2012        PMID: 26201634     DOI: 10.1007/s12072-012-9341-z

Source DB:  PubMed          Journal:  Hepatol Int        ISSN: 1936-0533            Impact factor:   6.047


  35 in total

1.  Serum microRNA profiles serve as novel biomarkers for HBV infection and diagnosis of HBV-positive hepatocarcinoma.

Authors:  Li-Min Li; Zhi-Bin Hu; Zhen-Xian Zhou; Xi Chen; Fen-Yong Liu; Jun-Feng Zhang; Hong-Bing Shen; Chen-Yu Zhang; Ke Zen
Journal:  Cancer Res       Date:  2010-11-23       Impact factor: 12.701

Review 2.  Hepatitis B virus integration, fragile sites, and hepatocarcinogenesis.

Authors:  Mark A Feitelson; Jungmin Lee
Journal:  Cancer Lett       Date:  2006-12-22       Impact factor: 8.679

3.  Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer.

Authors:  Zhibin Hu; Xi Chen; Yang Zhao; Tian Tian; Guangfu Jin; Yongqian Shu; Yijiang Chen; Lin Xu; Ke Zen; Chenyu Zhang; Hongbing Shen
Journal:  J Clin Oncol       Date:  2010-03-01       Impact factor: 44.544

4.  MicroRNA profiling of adrenocortical tumors reveals miR-483 as a marker of malignancy.

Authors:  Erin E Patterson; Alisha K Holloway; Julie Weng; Tito Fojo; Electron Kebebew
Journal:  Cancer       Date:  2010-11-08       Impact factor: 6.860

5.  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

6.  A pilot study of circulating miRNAs as potential biomarkers of early stage breast cancer.

Authors:  Hua Zhao; Jie Shen; Leonard Medico; Dan Wang; Christine B Ambrosone; Song Liu
Journal:  PLoS One       Date:  2010-10-29       Impact factor: 3.240

7.  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

Review 8.  miRNAs in human cancer.

Authors:  Thalia A Farazi; Jessica I Spitzer; Pavel Morozov; Thomas Tuschl
Journal:  J Pathol       Date:  2010-11-18       Impact factor: 7.996

9.  The progression of liver fibrosis is related with overexpression of the miR-199 and 200 families.

Authors:  Yoshiki Murakami; Hidenori Toyoda; Masami Tanaka; Masahiko Kuroda; Yoshinori Harada; Fumihiko Matsuda; Atsushi Tajima; Nobuyoshi Kosaka; Takahiro Ochiya; Kunitada Shimotohno
Journal:  PLoS One       Date:  2011-01-24       Impact factor: 3.240

10.  MicroRNA fingerprints identify miR-150 as a plasma prognostic marker in patients with sepsis.

Authors:  Catalin Vasilescu; Simona Rossi; Masayoshi Shimizu; Stefan Tudor; Angelo Veronese; Manuela Ferracin; Milena S Nicoloso; Elisa Barbarotto; Monica Popa; Oana Stanciulea; Michael H Fernandez; Dan Tulbure; Carlos E Bueso-Ramos; Massimo Negrini; George A Calin
Journal:  PLoS One       Date:  2009-10-12       Impact factor: 3.240

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  12 in total

1.  Novel Predictors of Breast Cancer Survival Derived from miRNA Activity Analysis.

Authors:  Vasily N Aushev; Eunjee Lee; Jun Zhu; Kalpana Gopalakrishnan; Qian Li; Susan L Teitelbaum; James Wetmur; Davide Degli Esposti; Hector Hernandez-Vargas; Zdenko Herceg; Humberto Parada; Regina M Santella; Marilie D Gammon; Jia Chen
Journal:  Clin Cancer Res       Date:  2017-11-14       Impact factor: 12.531

Review 2.  Identification of circulating MicroRNAs as novel potential biomarkers for hepatocellular carcinoma detection: a systematic review and meta-analysis.

Authors:  G Li; Q Shen; C Li; D Li; J Chen; M He
Journal:  Clin Transl Oncol       Date:  2015-05-09       Impact factor: 3.405

3.  Evaluating normalization approaches for the better identification of aberrant microRNAs associated with hepatocellular carcinoma.

Authors:  Jing Shen; Qiao Wang; Irina Gurvich; Helen Remotti; Regina M Santella
Journal:  Hepatoma Res       Date:  2016-11-18

4.  Serum thioredoxin is a diagnostic marker for hepatocellular carcinoma.

Authors:  Jun Li; Zhang-Jun Cheng; Yang Liu; Zhen-Lin Yan; Kui Wang; Dong Wu; Xu-Ying Wan; Yong Xia; Wan Yee Lau; Meng-Chao Wu; Feng Shen
Journal:  Oncotarget       Date:  2015-04-20

Review 5.  Circulating MicroRNAs: A Next-Generation Clinical Biomarker for Digestive System Cancers.

Authors:  Tsutomu Kawaguchi; Shuhei Komatsu; Daisuke Ichikawa; Masahiro Tsujiura; Hiroki Takeshita; Shoji Hirajima; Mahito Miyamae; Wataru Okajima; Takuma Ohashi; Taisuke Imamura; Jun Kiuchi; Hirotaka Konishi; Atsushi Shiozaki; Kazuma Okamoto; Eigo Otsuji
Journal:  Int J Mol Sci       Date:  2016-09-01       Impact factor: 5.923

6.  miR-500a-3p promotes cancer stem cells properties via STAT3 pathway in human hepatocellular carcinoma.

Authors:  Chunlin Jiang; Jianting Long; Baoxian Liu; Ming Xu; Wei Wang; Xiaoyan Xie; Xiaolin Wang; Ming Kuang
Journal:  J Exp Clin Cancer Res       Date:  2017-07-27

7.  Circulating miRNAs as novel diagnostic biomarkers in hepatocellular carcinoma detection: a meta-analysis based on 24 articles.

Authors:  Yan Ding; Jia-Lai Yan; An-Ning Fang; Wei-Feng Zhou; Ling Huang
Journal:  Oncotarget       Date:  2017-07-04

Review 8.  Liquid biopsy in patients with hepatocellular carcinoma: Circulating tumor cells and cell-free nucleic acids.

Authors:  Wataru Okajima; Shuhei Komatsu; Daisuke Ichikawa; Mahito Miyamae; Takuma Ohashi; Taisuke Imamura; Jun Kiuchi; Keiji Nishibeppu; Tomohiro Arita; Hirotaka Konishi; Atsushi Shiozaki; Ryo Morimura; Hisashi Ikoma; Kazuma Okamoto; Eigo Otsuji
Journal:  World J Gastroenterol       Date:  2017-08-21       Impact factor: 5.742

9.  Potential targets and molecular mechanism of miR-331-3p in hepatocellular carcinoma identified by weighted gene coexpression network analysis.

Authors:  Qingjia Chi; Xinge Geng; Kang Xu; Chunli Wang; Han Zhao
Journal:  Biosci Rep       Date:  2020-06-26       Impact factor: 3.840

Review 10.  The Glucose-Regulated MiR-483-3p Influences Key Signaling Pathways in Cancer.

Authors:  Felice Pepe; Rosa Visone; Angelo Veronese
Journal:  Cancers (Basel)       Date:  2018-06-04       Impact factor: 6.639

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