Literature DB >> 29249121

Matrix metalloproteinase 1: a better biomarker for squamous cell carcinoma by multiple microarray analyses.

Li-Qiang Zheng1,2, Rui Wang1, Su-Min Chi3, Cheng-Xin Li4.   

Abstract

BACKGROUND: The present study aimed to validate MMP1 role in the development of squamous cell carcinoma (SCC) by bioinformatics methods.
METHODS: Gene expression data of 10 GSE series (5 HNSCCs and 5 cSCCs) were obtained from the Gene Expression Omnibus (GEO) database and used to identify differentially expressed genes (DEGs).
RESULTS: Higher expression of MMP1 was found rank number one in 9/10 GSE series of SCC. MMP1 was mainly focused on Gene Ontology (GO) terms of collagen catabolic process, extracellular matrix disassembly. The analysis results of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways mainly involved Rheumatoid arthritis, Bladder cancer and Pathways in cancer. Also, MMP1 was identified as a hub protein in the PPI network by using Cytoscape software. In addition, others MMPs members of family were analyzed.
CONCLUSIONS: These results suggested that MMP1 may be pivotal to the transition from normal skin to premalignant lesions to SCC, thus representing a potential therapeutic target gene of diagnosis and prevention in SCC.

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Year:  2017        PMID: 29249121     DOI: 10.23736/S0392-0488.17.05770-4

Source DB:  PubMed          Journal:  G Ital Dermatol Venereol        ISSN: 0392-0488            Impact factor:   2.011


  3 in total

1.  MicroRNA31 and MMP-1 contribute to the differentiated pathway of invasion -with enhanced epithelial-to-mesenchymal transition- in squamous cell carcinoma of the skin.

Authors:  M T Fernández-Figueras; C Carrato; X Saenz-Sardà; E Musulén; M J Fuente; L Puig
Journal:  Arch Dermatol Res       Date:  2021-10-13       Impact factor: 3.033

2.  Topical Treatment of Actinic Keratosis and Metalloproteinase Expression: A Clinico-Pathological Retrospective Study.

Authors:  Elena Campione; Monia Di Prete; Cosimo Di Raimondo; Gaetana Costanza; Vincenzo Palumbo; Virginia Garofalo; Sara Mazzilli; Chiara Franceschini; Emi Dika; Luca Bianchi; Augusto Orlandi
Journal:  Int J Mol Sci       Date:  2022-09-26       Impact factor: 6.208

3.  Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD.

Authors:  Xiao Liu; Jingge Qu; Weixiao Xue; Liangai He; Jun Wang; Xuejiao Xi; Xiaoxia Liu; Yunhong Yin; Yiqing Qu
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-04-16
  3 in total

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