Martrilin-3 (MATN3) Overexpression in Gastric Adenocarcinoma and its Prognostic Significance.

Abstract:

:BACKGROUND The aim of this study was to investigate the expression level of martrilin-3 (MATN3) in patients with gastric adenocarcinoma (GAC) and to investigate the prognostic significance of MATN3. MATERIAL AND METHODS Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data were used to predict the expression and prognostic value of MATN3 mRNA in GAC patients. Seventy-six GAC patients had GAC tissue samples and paired adjacent normal tissue samples collected retrospectively to examine the MATN3 protein expression level by immunohistochemical staining. Furthermore, Kaplan-Meier univariate and Cox multivariate analyses were used to verify the correlation between MATN3 expression and clinicopathological parameters of GAC patients and the prognostic significance of MATN3. RESULTS The GEO and TCGA data predicted that MATN3 mRNA levels were significantly higher in GAC tissue compared to normal tissue (all p<0.05). Further survival analyses showed that GAC patients with high mRNA expression of MATN3 had significantly lower disease-free survival (DFS) and overall survival (OS) time than those with low mRNA expression of MATN3 (all p<0.05). Subsequent immunohistochemical staining results confirmed that the MATN3 protein levels in GAC tissues were highly expressed (p=0.000) compared to normal tissues. In addition, GAC patients with high protein expression of MATN3 had remarkably decreased OS compared to patients with low protein expression of MATN3 (p=0.000). Univariate and multivariate survival analyses revealed that MATN3 high expression could be used as an independent predictor of poor prognosis in GAC patients (all p=0.000). CONCLUSIONS This study confirmed that MATN3 protein was highly expressed in GAC patients, and MATN3 overexpression could be used as an independent predictor of poor prognosis in GAC patients.

journal_name

Med Sci Monit

authors

Wu PL,He YF,Yao HH,Hu B

doi

10.12659/msm.908447

subject

Has Abstract

pub_date

2018-01-18 00:00:00

pages

348-355

eissn

1234-1010

issn

1643-3750

pii

908447

journal_volume

24

pub_type

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