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Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining

Gastric cancer (GC) is still a vital malignant cancer across the world with unsatisfactory prognostic results. Matrilin-3 (MATN3) is a member of the extracellular matrix (ECM) protein family. The present research intends to explore the expression level of MATN3 in patients with GC and to explore the...

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Autores principales: Wang, Pan, Xiao, Wei-sheng, Li, Yue-hua, Wu, Xiao-ping, Zhu, Hong-bo, Tan, Ye-ru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660198/
https://www.ncbi.nlm.nih.gov/pubmed/34900024
http://dx.doi.org/10.1155/2021/1769635
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author Wang, Pan
Xiao, Wei-sheng
Li, Yue-hua
Wu, Xiao-ping
Zhu, Hong-bo
Tan, Ye-ru
author_facet Wang, Pan
Xiao, Wei-sheng
Li, Yue-hua
Wu, Xiao-ping
Zhu, Hong-bo
Tan, Ye-ru
author_sort Wang, Pan
collection PubMed
description Gastric cancer (GC) is still a vital malignant cancer across the world with unsatisfactory prognostic results. Matrilin-3 (MATN3) is a member of the extracellular matrix (ECM) protein family. The present research intends to explore the expression level of MATN3 in patients with GC and to explore the prognosis significance of MATN3. In this study, we observed that the MATN3 expression was remarkably upregulated in GC samples in contrast to noncancer samples. Clinical analyses unveiled that high MATN3 expression was related to age, tumor status, and clinical stages. Survival analyses unveiled that patients with high MATN3 expression displayed a poorer overall survival and progression-free survival than those with low MATN3 expression. The AUC of the relevant ROC curve for 1 year, 3 years, and 5 years of survival is 0.571, 0.596, and 0.720, separately. Multivariate assays revealed that MATN3 expression and stage were independent predictors of poor prognosis of GC patients. A meta-analysis unveiled that high MATN3 expression was tightly associated with better overall survival. Overall, our data indicated that MATN3 may have a diagnostic and prognostic value for patients with advanced gastric cancer and assist to improve clinical outcomes for GC patients.
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spelling pubmed-86601982021-12-10 Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining Wang, Pan Xiao, Wei-sheng Li, Yue-hua Wu, Xiao-ping Zhu, Hong-bo Tan, Ye-ru Dis Markers Research Article Gastric cancer (GC) is still a vital malignant cancer across the world with unsatisfactory prognostic results. Matrilin-3 (MATN3) is a member of the extracellular matrix (ECM) protein family. The present research intends to explore the expression level of MATN3 in patients with GC and to explore the prognosis significance of MATN3. In this study, we observed that the MATN3 expression was remarkably upregulated in GC samples in contrast to noncancer samples. Clinical analyses unveiled that high MATN3 expression was related to age, tumor status, and clinical stages. Survival analyses unveiled that patients with high MATN3 expression displayed a poorer overall survival and progression-free survival than those with low MATN3 expression. The AUC of the relevant ROC curve for 1 year, 3 years, and 5 years of survival is 0.571, 0.596, and 0.720, separately. Multivariate assays revealed that MATN3 expression and stage were independent predictors of poor prognosis of GC patients. A meta-analysis unveiled that high MATN3 expression was tightly associated with better overall survival. Overall, our data indicated that MATN3 may have a diagnostic and prognostic value for patients with advanced gastric cancer and assist to improve clinical outcomes for GC patients. Hindawi 2021-12-02 /pmc/articles/PMC8660198/ /pubmed/34900024 http://dx.doi.org/10.1155/2021/1769635 Text en Copyright © 2021 Pan Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Pan
Xiao, Wei-sheng
Li, Yue-hua
Wu, Xiao-ping
Zhu, Hong-bo
Tan, Ye-ru
Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining
title Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining
title_full Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining
title_fullStr Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining
title_full_unstemmed Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining
title_short Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining
title_sort identification of matn3 as a novel prognostic biomarker for gastric cancer through comprehensive tcga and geo data mining
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660198/
https://www.ncbi.nlm.nih.gov/pubmed/34900024
http://dx.doi.org/10.1155/2021/1769635
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