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Evaluation of K-ras and p53 expression in pancreatic adenocarcinoma using the cancer genome atlas
- Source :
- PLoS ONE, PLoS ONE, Vol 12, Iss 7, p e0181532 (2017)
- Publication Year :
- 2017
- Publisher :
- Public Library of Science, 2017.
-
Abstract
- Genetic alterations in K-ras and p53 are thought to be critical in pancreatic cancer development and progression. However, K-ras and p53 expression in pancreatic adenocarcinoma have not been systematically examined in The Cancer Genome Atlas (TCGA) Data Portal. Information regarding K-ras and p53 alterations, mRNA expression data, and protein/protein phosphorylation abundance was retrieved from The Cancer Genome Atlas (TCGA) databases, and analyses were performed by the cBioPortal for Cancer Genomics. The mutual exclusivity analysis showed that events in K-ras and p53 were likely to co-occur in pancreatic adenocarcinoma (Log odds ratio = 1.599, P = 0.006). The graphical summary of the mutations showed that there were hotspots for protein activation. In the network analysis, no solid association between K-ras and p53 was observed in pancreatic adenocarcinoma. In the survival analysis, neither K-ras nor p53 were associated with both survival events. As in the data mining study in the TCGA databases, our study provides a new perspective to understand the genetic features of K-ras and p53 in pancreatic adenocarcinoma.
- Subjects :
- 0301 basic medicine
Oncology
Gene regulatory network
lcsh:Medicine
Kaplan-Meier Estimate
Database and Informatics Methods
0302 clinical medicine
Mathematical and Statistical Techniques
Adenocarcinomas
Basic Cancer Research
Medicine and Health Sciences
Data Mining
Gene Regulatory Networks
lcsh:Science
Regulation of gene expression
Multidisciplinary
Genomics
Genomic Databases
Prognosis
Gene Expression Regulation, Neoplastic
medicine.anatomical_structure
Research Design
030220 oncology & carcinogenesis
Physical Sciences
Adenocarcinoma
Pancreas
Information Technology
Statistics (Mathematics)
Network Analysis
Research Article
medicine.medical_specialty
Computer and Information Sciences
Clinical Research Design
Biology
Research and Analysis Methods
Carcinomas
Proto-Oncogene Proteins p21(ras)
03 medical and health sciences
Cancer Genomics
Genomic Medicine
Diagnostic Medicine
Pancreatic cancer
Internal medicine
medicine
Genetics
Humans
RNA, Messenger
Statistical Methods
Gene
Survival analysis
lcsh:R
Cancers and Neoplasms
Biology and Life Sciences
Computational Biology
medicine.disease
Genome Analysis
Genes, p53
Survival Analysis
Pancreatic Neoplasms
030104 developmental biology
Biological Databases
Genes, ras
Mutation Databases
Mutation
lcsh:Q
Tumor Suppressor Protein p53
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....1a1c393e92c28fd7547f5ea7338cb17a