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Matrix Metalloproteinase Expressions Play Important role in Prediction of Ovarian Cancer Outcome
- Source :
- Scientific Reports, Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
- Publication Year :
- 2018
-
Abstract
- Ovarian cancer has a high death rate and is often not detected until late stages. While some studies found high expressions of MMPs correlated with cancer invasion, metastasis, and poor prognosis, however, several other studies indicated MMPs might inhibit cancer rather than promote cancer in certain situations. Thus, the role of different MMPs in different cancer types needs a systematic re-evaluation. In this study, we used RNA-Seq and corresponding clinical data downloaded from TCGA and analyzed the correlations between MMP expressions and the clinicopathologic characteristics and outcome in ovarian serous cystadenocarcinoma (OSC) patients. Among the MMPs investigated, MMP-3 was significantly increased in high-grade and high-stage tumors compared with low-grade and low-stage ones. Using univariate analysis and multivariate Cox model, high expressions of MMP-19 and -20 were found to associate with poor overall survival independent of clinicopathologic characteristics. Moreover, using in vitro studies, we found ovarian cancer cell lines with higher MMP-19 and -20 protein expressing levels were associated with anti-cancer drugs resistance, while knockdown of MMP-19 or -20 increased ovarian cancer cell sensitivities to several clinical using chemotherapy agents. Finally, knockdown of MMP-19 or -20 also decreased the invasion abilities of several ovarian cancer cell lines. These in vitro studies provided potential mechanisms of high MMP-19 and -20 expressions in the poor prognosis of ovarian cancer.
- Subjects :
- 0301 basic medicine
Adult
medicine.medical_treatment
Cell
lcsh:Medicine
Black People
Antineoplastic Agents
Matrix metalloproteinase
Carcinoma, Ovarian Epithelial
White People
Article
Metastasis
Cohort Studies
03 medical and health sciences
0302 clinical medicine
Asian People
Cell Line, Tumor
medicine
Humans
lcsh:Science
Aged
Neoplasm Staging
Proportional Hazards Models
Cancer
Aged, 80 and over
Ovarian Neoplasms
Chemotherapy
Gene knockdown
Multidisciplinary
business.industry
Proportional hazards model
lcsh:R
Middle Aged
medicine.disease
Prognosis
Matrix Metalloproteinases
Cystadenocarcinoma, Serous
Computational biology and bioinformatics
Gene Expression Regulation, Neoplastic
030104 developmental biology
medicine.anatomical_structure
Cancer research
lcsh:Q
Female
Neoplasm Grading
Ovarian cancer
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 9
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific reports
- Accession number :
- edsair.doi.dedup.....798f74a7dd5c99b1ef84706ed099e422