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Comprehensive analysis of the expression and prognosis for S100 in human ovarian cancer
- Source :
- Medicine
- Publication Year :
- 2020
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2020.
-
Abstract
- S100 family members are frequently deregulated in human malignancies, including ovarian cancer. However, the prognostic roles of each individual S100 family member in ovarian cancer (OC) patients remain elusive. In the present study, we assessed the prognostic roles and molecular function of 20 individual members of the S100 family in OC patients using GEPIA, Kaplan–Meier plotter, SurvExpress, GeneMANIA and Funrich database. Our results indicated that the mRNA expression levels of S100A1, S100A2, S100A4, S100A5, S100A11, S100A14, and S100A16 were significantly upregulated in patients with OC, and high mRNA expression of S100A1, S100A3, S100A5, S100A6, and S100A13 were significantly correlated with better overall survival, while increased S100A2, S100A7A, S100A10, and S100A11 mRNA expressions were associated with worse prognosis in OC patients. In stratified analysis, the trends of high expression of individual S100 members were nearly the same in different pathological grade, clinical stage, TP53 mutation status, and treatment. More importantly, S100 family signatures may be useful potential prognostic markers for OC. These findings suggest that S100 family plays a vital role in prognostic value and could potentially be an S100-targeted inhibitors for OC patients.
- Subjects :
- Oncology
medicine.medical_specialty
Observational Study
S100 family
Carcinoma, Ovarian Epithelial
medicine.disease_cause
03 medical and health sciences
0302 clinical medicine
Text mining
Internal medicine
Databases, Genetic
Kaplan–Meier plotter
Carcinoma
Humans
Medicine
Genetic Predisposition to Disease
RNA, Messenger
030212 general & internal medicine
Stage (cooking)
Pathological
Survival analysis
Neoplasm Staging
Mutation
biology
business.industry
S100 Proteins
S100A10
General Medicine
Prognosis
medicine.disease
Survival Analysis
ovarian cancer
030220 oncology & carcinogenesis
biology.protein
Female
Neoplasm Grading
business
Ovarian cancer
signature
Research Article
Subjects
Details
- ISSN :
- 15365964 and 00257974
- Volume :
- 99
- Database :
- OpenAIRE
- Journal :
- Medicine
- Accession number :
- edsair.doi.dedup.....cffdbdd26b157f6d21ca9ab2a6614983
- Full Text :
- https://doi.org/10.1097/md.0000000000022777