Literature DB >> 25894380

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

Li Jiang1, Xue Li2, Qi Cheng3, Bin-Hao Zhang3.   

Abstract

Our study aims to investigate the expression signature of plasma microRNA-106b (miRNA-106b, miR-106b) in hepatocellular carcinoma (HCC) patients and chronic liver disease (CLD) patients compared with healthy controls and further evaluate the potential clinical value of miR-106b as biomarker in HCC detection. In addition, a meta-analysis was conducted to assess the diagnostic performance of miR-106a/b as a biochemical marker for cancer screening. This study was divided into two phases. In the first phase, the expression levels of plasma miR-106b obtained from 108 subjects (47 HCC patients, 25 CLD patients, and 36 healthy controls) were measured by using qRT-PCR. Areas under receiver operating characteristic (ROC) curves (AUCs) were used to evaluate the diagnostic accuracy of plasma miR-106. In the second phase, a meta-analysis based on 11 previous researches as well as our current study was conducted to assess the potential clinical value of miR-106 in cancer detection. Plasma levels of miR-106b in HCC patients were significantly higher compared with CLD patients and healthy individuals. ROC curves suggested that plasma miR-106b yielded relative high sensitivities and specificities in differentiating HCC patients from CLD patients or healthy controls with corresponding AUC values of 0.726 and 0.879, respectively. In addition, miR-106b showed a relatively high accuracy in distinguishing CLD patients from healthy controls with its AUC value of 0.703. Furthermore, the meta-analysis for diagnostic performance of miR-106a/b showed a pooled sensitivity of 0.74, specificity of 0.75, and an AUC of 0.81. Subgroup analysis based on samples types revealed a higher diagnostic performance of miR-106 for cancer detection by using non-blood samples. Similarly, miR-106 as biomarker showed a higher diagnostic accuracy for gastric cancer detection. We found that plasma miR-106b has clinical value in the detection of HCC from healthy people and CLD patients. Further large-scale study may be needed to validate our findings.

Entities:  

Keywords:  Chronic liver disease; Diagnosis; Hepatocellular carcinoma; Plasma; miR-106

Mesh:

Substances:

Year:  2015        PMID: 25894380     DOI: 10.1007/s13277-015-3446-7

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  35 in total

Review 1.  MicroRNAs: small RNAs with a big role in gene regulation.

Authors:  Lin He; Gregory J Hannon
Journal:  Nat Rev Genet       Date:  2004-07       Impact factor: 53.242

2.  miR-106a is frequently upregulated in gastric cancer and inhibits the extrinsic apoptotic pathway by targeting FAS.

Authors:  Zaozao Wang; Mei Liu; Hongxia Zhu; Wei Zhang; Shun He; Chenfei Hu; Lanping Quan; Jinfeng Bai; Ningzhi Xu
Journal:  Mol Carcinog       Date:  2012-03-16       Impact factor: 4.784

3.  The role of tumor markers in the diagnosis of hepatocellular carcinoma, with special reference to the des-gamma-carboxy prothrombin.

Authors:  G L Grazi; A Mazziotti; C Legnani; E Jovine; R Miniero; A Gallucci; G Palareti; G Gozzetti
Journal:  Liver Transpl Surg       Date:  1995-07

4.  MicroRNAs in cancer: personalizing diagnosis and therapy.

Authors:  S Patrick Nana-Sinkam; Muller Fabbri; Carlo M Croce
Journal:  Ann N Y Acad Sci       Date:  2010-10       Impact factor: 5.691

5.  Identification of the miR-106b~25 microRNA cluster as a proto-oncogenic PTEN-targeting intron that cooperates with its host gene MCM7 in transformation.

Authors:  Laura Poliseno; Leonardo Salmena; Luisa Riccardi; Alessandro Fornari; Min Sup Song; Robin M Hobbs; Paolo Sportoletti; Shorheh Varmeh; Ainara Egia; Giuseppe Fedele; Lucia Rameh; Massimo Loda; Pier Paolo Pandolfi
Journal:  Sci Signal       Date:  2010-04-13       Impact factor: 8.192

Review 6.  Extracellular microRNA: a new source of biomarkers.

Authors:  Alton Etheridge; Inyoul Lee; Leroy Hood; David Galas; Kai Wang
Journal:  Mutat Res       Date:  2011-03-23       Impact factor: 2.433

Review 7.  Test characteristics of alpha-fetoprotein for detecting hepatocellular carcinoma in patients with hepatitis C. A systematic review and critical analysis.

Authors:  Samir Gupta; Stephen Bent; Jeffrey Kohlwes
Journal:  Ann Intern Med       Date:  2003-07-01       Impact factor: 25.391

Review 8.  Strategies for the management of hepatocellular carcinoma.

Authors:  Myron Schwartz; Sasan Roayaie; Manousos Konstadoulakis
Journal:  Nat Clin Pract Oncol       Date:  2007-07

9.  miR-106b downregulates adenomatous polyposis coli and promotes cell proliferation in human hepatocellular carcinoma.

Authors:  Gang Shen; Hongyun Jia; Qiang Tai; Yanhao Li; Deji Chen
Journal:  Carcinogenesis       Date:  2012-10-20       Impact factor: 4.944

10.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

View more
  10 in total

Review 1.  Applications of Extracellular RNAs in Oncology.

Authors:  Jonathan R Thompson; Jing Zhu; Deepak Kilari; Liang Wang
Journal:  Mol Diagn Ther       Date:  2017-02       Impact factor: 4.074

Review 2.  MicroRNAs: Emerging Novel Clinical Biomarkers for Hepatocellular Carcinomas.

Authors:  Sumadi Lukman Anwar; Ulrich Lehmann
Journal:  J Clin Med       Date:  2015-08-18       Impact factor: 4.241

Review 3.  Tissue- and Serum-Associated Biomarkers of Hepatocellular Carcinoma.

Authors:  Ranjit Chauhan; Nivedita Lahiri
Journal:  Biomark Cancer       Date:  2016-07-04

4.  Serum microRNA signatures and metabolomics have high diagnostic value in hepatocellular carcinoma.

Authors:  Hai-Ning Liu; Hao Wu; Yan-Jie Chen; Yu-Jen Tseng; Enkhnaran Bilegsaikhan; Ling Dong; Xi-Zhong Shen; Tao-Tao Liu
Journal:  Oncotarget       Date:  2017-11-01

Review 5.  The Role of Circulating Free DNA and MicroRNA in Non-Invasive Diagnosis of HBV- and HCV-Related Hepatocellular Carcinoma.

Authors:  Francesca Pezzuto; Luigi Buonaguro; Franco Maria Buonaguro; Maria Lina Tornesello
Journal:  Int J Mol Sci       Date:  2018-03-28       Impact factor: 5.923

6.  Investigating the inhibitory effect of miR-34a, miR-449a, miR-1827, and miR-106b on target genes including NOTCH1, c-Myc, and CCND1 in human T cell acute lymphoblastic leukemia clinical samples and cell line.

Authors:  Tohid Naderi; Samira Mohammadi-Yeganeh; Neda Mohammadi-Hezaveh; Razie Hadavi; Ahmad Gharehbaghian; Nader Vazifeh-Shiran; Vahid Fallah Azad; Mahdi Paryan
Journal:  Iran J Basic Med Sci       Date:  2020-03       Impact factor: 2.699

7.  Diagnostic Value of lncRNAs as Biomarker in Hepatocellular Carcinoma: An Updated Meta-Analysis.

Authors:  Shilian Chen; Yaqin Zhang; Xuan Wu; Chaoyang Zhang; Guancheng Li
Journal:  Can J Gastroenterol Hepatol       Date:  2018-10-15

Review 8.  New Concepts in Cancer Biomarkers: Circulating miRNAs in Liquid Biopsies.

Authors:  Erika Larrea; Carla Sole; Lorea Manterola; Ibai Goicoechea; María Armesto; María Arestin; María M Caffarel; Angela M Araujo; María Araiz; Marta Fernandez-Mercado; Charles H Lawrie
Journal:  Int J Mol Sci       Date:  2016-04-27       Impact factor: 5.923

9.  Circulating miR-106b-3p, miR-101-3p and miR-1246 as diagnostic biomarkers of hepatocellular carcinoma.

Authors:  Farzaneh Moshiri; Alessandro Salvi; Laura Gramantieri; Angelo Sangiovanni; Paola Guerriero; Giuseppina De Petro; Cristian Bassi; Laura Lupini; Arash Sattari; Douglas Cheung; Dario Veneziano; Giovanni Nigita; Ram C Shankaraiah; Nazario Portolani; Paolo Carcoforo; Francesca Fornari; Luigi Bolondi; Antonio Frassoldati; Silvia Sabbioni; Massimo Colombo; Carlo M Croce; Massimo Negrini
Journal:  Oncotarget       Date:  2018-02-27

10.  Novel miRNA signature for predicting the stage of hepatocellular carcinoma.

Authors:  Srinivasulu Yerukala Sathipati; Shinn-Ying Ho
Journal:  Sci Rep       Date:  2020-09-02       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.