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The prognostic values of matrix metalloproteinases in ovarian cancer

OBJECTIVE: To investigate the prognostic significance of 23 matrix metalloproteinase (MMP) genes in patients diagnosed with ovarian carcinoma. METHODS: The prognostic significance of 23 MMP genes in patients diagnosed with ovarian carcinoma was investigated using the Kaplan–Meier plotter (KM plotter...

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Autores principales: Zeng, Linchai, Qian, Jie, Zhu, Fangfang, Wu, Fang, Zhao, Hongqin, Zhu, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140190/
https://www.ncbi.nlm.nih.gov/pubmed/31099295
http://dx.doi.org/10.1177/0300060519825983
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author Zeng, Linchai
Qian, Jie
Zhu, Fangfang
Wu, Fang
Zhao, Hongqin
Zhu, Haiyan
author_facet Zeng, Linchai
Qian, Jie
Zhu, Fangfang
Wu, Fang
Zhao, Hongqin
Zhu, Haiyan
author_sort Zeng, Linchai
collection PubMed
description OBJECTIVE: To investigate the prognostic significance of 23 matrix metalloproteinase (MMP) genes in patients diagnosed with ovarian carcinoma. METHODS: The prognostic significance of 23 MMP genes in patients diagnosed with ovarian carcinoma was investigated using the Kaplan–Meier plotter (KM plotter), which uses the gene expression data and overall survival information of patients with ovarian cancer that were downloaded from the Gene Expression Omnibus, Cancer Biomedical Informatics Grid and The Cancer Genome Atlas cancer datasets. The correlation between mRNA levels of individual MMPs (MMP2, MMP9, MMP10, MMP12, MMP13 and MMP25) and clinicopathological features (histological subtype, pathological grade and clinical stage) were investigated. The MMP protein level profiles in normal ovarian tissues and ovarian cancer tissues were examined using the Human Protein Atlas database. RESULTS: The results showed that high mRNA levels of MMP2 and MMP13 were associated with a worse overall survival in patients with ovarian cancer, whereas high mRNA levels of MMP9, MMP10, MMP12 and MMP25 were associated with a better overall survival. The protein levels of MMP2, MMP9, MMP10 and MMP25 in ovarian cancer tissues were elevated compared with normal ovarian tissues. CONCLUSIONS: This study demonstrated that MMPs can be a reliable prognostic biomarker for ovarian cancer.
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spelling pubmed-71401902020-04-13 The prognostic values of matrix metalloproteinases in ovarian cancer Zeng, Linchai Qian, Jie Zhu, Fangfang Wu, Fang Zhao, Hongqin Zhu, Haiyan J Int Med Res Special Issue: Cancer Genomics: Biomarkers for Prognosis, Diagnosis and Treatment OBJECTIVE: To investigate the prognostic significance of 23 matrix metalloproteinase (MMP) genes in patients diagnosed with ovarian carcinoma. METHODS: The prognostic significance of 23 MMP genes in patients diagnosed with ovarian carcinoma was investigated using the Kaplan–Meier plotter (KM plotter), which uses the gene expression data and overall survival information of patients with ovarian cancer that were downloaded from the Gene Expression Omnibus, Cancer Biomedical Informatics Grid and The Cancer Genome Atlas cancer datasets. The correlation between mRNA levels of individual MMPs (MMP2, MMP9, MMP10, MMP12, MMP13 and MMP25) and clinicopathological features (histological subtype, pathological grade and clinical stage) were investigated. The MMP protein level profiles in normal ovarian tissues and ovarian cancer tissues were examined using the Human Protein Atlas database. RESULTS: The results showed that high mRNA levels of MMP2 and MMP13 were associated with a worse overall survival in patients with ovarian cancer, whereas high mRNA levels of MMP9, MMP10, MMP12 and MMP25 were associated with a better overall survival. The protein levels of MMP2, MMP9, MMP10 and MMP25 in ovarian cancer tissues were elevated compared with normal ovarian tissues. CONCLUSIONS: This study demonstrated that MMPs can be a reliable prognostic biomarker for ovarian cancer. SAGE Publications 2019-05-17 /pmc/articles/PMC7140190/ /pubmed/31099295 http://dx.doi.org/10.1177/0300060519825983 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Special Issue: Cancer Genomics: Biomarkers for Prognosis, Diagnosis and Treatment
Zeng, Linchai
Qian, Jie
Zhu, Fangfang
Wu, Fang
Zhao, Hongqin
Zhu, Haiyan
The prognostic values of matrix metalloproteinases in ovarian cancer
title The prognostic values of matrix metalloproteinases in ovarian cancer
title_full The prognostic values of matrix metalloproteinases in ovarian cancer
title_fullStr The prognostic values of matrix metalloproteinases in ovarian cancer
title_full_unstemmed The prognostic values of matrix metalloproteinases in ovarian cancer
title_short The prognostic values of matrix metalloproteinases in ovarian cancer
title_sort prognostic values of matrix metalloproteinases in ovarian cancer
topic Special Issue: Cancer Genomics: Biomarkers for Prognosis, Diagnosis and Treatment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140190/
https://www.ncbi.nlm.nih.gov/pubmed/31099295
http://dx.doi.org/10.1177/0300060519825983
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