Literature DB >> 26938054

Blood-Based Circulating MicroRNAs are Potential Diagnostic Biomarkers for Leukemia: Result from a Meta-Analysis.

Li-hua Xu1, Yang Guo, Xue-Li Zhang, Jia-jia Chen, Shao-yan Hu.   

Abstract

AIMS: Circulating microRNAs (miRNAs) as biomarkers for leukemia have been validated by emerging studies. This meta-analysis aims to estimate the overall diagnostic accuracy of blood-based circulating miRNAs for leukemia.
METHODS: We searched multiple databases (PubMed, EMBASE, Cochrane Library, CNKI, Wan Fang Data and CQVIP) up to June 18, 2015.
RESULTS: 32 studies from 10 publications were included in this meta-analysis. Diagnostic capacity was evaluated by pooled sensitivity, specifIcity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) through random-effects model. Sensitivity analyses were sequentially performed to find potential sources of heterogeneity. The quality of included studies was assessed by QUADAS (quality assessment for studies of diagnostic accuracy). Meta-Disc 1.4 and Stata 12.0 software were used to perform the meta-analysis. A high diagnostic accuracy was displayed, with a sensitivity of 0.84, a specificity of 0.88, a PLR of 7.20, a NLR of 0.18, a DOR of 52, and an AUC of 0.94. Subgroup analyses revealed better performance for combined miRNAs, acute myeloid leukemia patients and Asian population than other subgroups.
CONCLUSION: Our analyses suggested that blood-based circulating miRNAs are promising diagnostic biomarkers for leukemia, especially combined miRNAs. Its clinical application awaits further study.
© 2016 The Author(s) Published by S. Karger AG, Basel.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26938054     DOI: 10.1159/000443046

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  7 in total

1.  Circulating microRNA as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis.

Authors:  Emmanuel Kwateng Drokow; Kai Sun; Hafiz Abdul Waqas Ahmed; Gloria Selorm Akpabla; Juanjuan Song; Mingyue Shi
Journal:  Cancer Manag Res       Date:  2019-05-10       Impact factor: 3.989

2.  Bayesian multilevel model of micro RNA levels in ovarian-cancer and healthy subjects.

Authors:  Paweł Wiczling; Emilia Daghir-Wojtkowiak; Roman Kaliszan; Michał Jan Markuszewski; Janusz Limon; Magdalena Koczkowska; Maciej Stukan; Alina Kuźniacka; Magdalena Ratajska
Journal:  PLoS One       Date:  2019-08-29       Impact factor: 3.240

3.  A Meta-Analytic Review of the Value of miRNA for Multiple Sclerosis Diagnosis.

Authors:  Zongpu Zhou; Huihui Xiong; Fukang Xie; Zhongdao Wu; Ying Feng
Journal:  Front Neurol       Date:  2020-02-25       Impact factor: 4.003

Review 4.  The Role of MicroRNA in Paediatric Acute Lymphoblastic Leukaemia: Challenges for Diagnosis and Therapy.

Authors:  Carle Grobbelaar; Anthony M Ford
Journal:  J Oncol       Date:  2019-10-13       Impact factor: 4.375

5.  The Potential Diagnostic Accuracy of Circulating MicroRNAs for Leukemia: A Meta-Analysis.

Authors:  Wen-Ting Zhang; Guo-Xun Zhang; Shuai-Shuai Gao
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

6.  Hypomethylation of MIR-378 5'-flanking region predicts poor survival in young patients with myelodysplastic syndrome.

Authors:  De-Hong Wu; Xiao-Wen Zhu; Xiang-Mei Wen; Ying-Ying Zhang; Ji-Chun Ma; Dong-Ming Yao; Jing-Dong Zhou; Hong Guo; Peng-Fei Wu; Xing-Li Zhang; Hong-Chun Qiu; Jiang Lin; Jun Qian
Journal:  Mol Genet Genomic Med       Date:  2019-12-13       Impact factor: 2.183

7.  Artificial microRNA guide strand selection from duplexes with no mismatches shows a purine-rich preference for virus- and non-virus-based expression vectors in plants.

Authors:  Yen-Wen Kuo; Bryce W Falk
Journal:  Plant Biotechnol J       Date:  2022-02-19       Impact factor: 13.263

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.