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Role of serum matrix metalloproteinase in the diagnosis of gastric cancer

OBJECTIVE: To determine the clinical value of a matrix metalloproteinase (MMP) antibody array in diagnosing gastric cancer (GC). METHODS: In this prospective study, serum samples of patients with GC (n=66) and non-neoplastic gastric disease (NGD; n=34) were collected between November 2017 and July 2...

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Detalles Bibliográficos
Autores principales: Liu, Jian, Zhou, Liya, Lin, Sanren, Yao, Bei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Professional Medical Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372687/
https://www.ncbi.nlm.nih.gov/pubmed/32704283
http://dx.doi.org/10.12669/pjms.36.5.2059
Descripción
Sumario:OBJECTIVE: To determine the clinical value of a matrix metalloproteinase (MMP) antibody array in diagnosing gastric cancer (GC). METHODS: In this prospective study, serum samples of patients with GC (n=66) and non-neoplastic gastric disease (NGD; n=34) were collected between November 2017 and July 2018. The quantitative measurement of 10 MMP-related proteins was done using MMP arrays and compared between the two groups. RESULTS: The serum levels of MMPs 3, 8, 9 and tissue inhibitor of metalloproteinases (TIMPs) 1 and 2 were significantly higher in the GC group than in the NGD group (p<0.05). The area under curve (AUC) of the 10 MMP proteins for the diagnosis of GC varied between 0.500 and 0.658. The total AUC of all MMPs was 0.897 (95% CI: 0.837-0.957). The total AUC of the five MMPs (MMPs 3, 8, 9, and TIMPs 1 and 2) was 0.821 (95% CI: 0.733-0.909) for diagnosing GC. Also, the 10-factor and 5-factor predictive models had good diagnostic ability for early GC with an AUC of 0.865 (95% CI: 0.753-0.977) and 0.749 (95% CI: 0.600-0.898), respectively. CONCLUSIONS: The detection of multiple serum MMPs with protein biochip technology is promising to be used as a novel non-invasive tool for facilitating early diagnosis or screening of GC.