Literature DB >> 29575908

Serum matrix metalloproteinase-9 level as a biomarker for colorectal cancer: a diagnostic meta-analysis.

Shucai Liang1, Lulin Chang1.   

Abstract

AIM: To comprehensively evaluate the diagnostic value of serum matrix metalloproteinase-9 (MMP-9) level for colorectal cancer (CRC).
METHODS: Both of the relationships between MMP-9 level and CRC and the diagnostic value were evaluated from 12 eligible papers.
RESULTS: The high MMP-9 level increased CRC risk. The estimated sensitivity and specificity were 69 and 68%, respectively, which signified that the diagnostic value was medium. Diagnostic odds ratio and the area under the receiver operating characteristic curve suggested MMP-9 level has a moderate diagnostic value in CRC. Additionally, the likelihood matrix indicated MMP-9 levels could be considered as a biomarker for the diagnosis of CRC.
CONCLUSION: Patients with CRC have elevated MMP-9 levels, which is a potential biomarker for CRC diagnosis.

Entities:  

Keywords:  colorectal cancer; diagnosis; matrix metalloproteinase-9; meta-analysis

Mesh:

Substances:

Year:  2018        PMID: 29575908     DOI: 10.2217/bmm-2017-0206

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  5 in total

Review 1.  Matrix Metalloproteinase-9 (MMP-9) as a Cancer Biomarker and MMP-9 Biosensors: Recent Advances.

Authors:  Hao Huang
Journal:  Sensors (Basel)       Date:  2018-09-27       Impact factor: 3.576

2.  Identification of Zinc-Binding Inhibitors of Matrix Metalloproteinase-9 to Prevent Cancer Through Deep Learning and Molecular Dynamics Simulation Approach.

Authors:  Shalini Mathpal; Priyanka Sharma; Tushar Joshi; Veena Pande; Shafi Mahmud; Mi-Kyung Jeong; Ahmad J Obaidullah; Subhash Chandra; Bonglee Kim
Journal:  Front Mol Biosci       Date:  2022-03-31

3.  Bioinformatic analysis of the LCN2-SLC22A17-MMP9 network in cancer: The role of DNA methylation in the modulation of tumor microenvironment.

Authors:  Saverio Candido; Barbara Tomasello; Alessandro Lavoro; Luca Falzone; Giuseppe Gattuso; Angela Russo; Sabrina Paratore; James A McCubrey; Massimo Libra
Journal:  Front Cell Dev Biol       Date:  2022-09-21

4.  Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.

Authors:  Qin Yang; Kaihu Li; Xin Li; Jing Liu
Journal:  Int J Med Sci       Date:  2020-07-25       Impact factor: 3.738

5.  The accuracy of Raman spectroscopy in the diagnosis of lung cancer: a systematic review and meta-analysis.

Authors:  Cong Chen; Jianqi Hao; Xiaohu Hao; Wenying Xu; Congjia Xiao; Jian Zhang; Qiang Pu; Lunxu Liu
Journal:  Transl Cancer Res       Date:  2021-08       Impact factor: 1.241

  5 in total

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