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Bayesian networks established functional differences between breast cancer subtypes
- Source :
- PLoS ONE, Vol 15, Iss 6, p e0234752 (2020), PLoS ONE, 15 (6), PLoS ONE
- Publication Year :
- 2020
- Publisher :
- Public Library of Science (PLoS), 2020.
-
Abstract
- Breast cancer is a heterogeneous disease. In clinical practice, tumors are classified as hormonal receptor positive, Her2 positive and triple negative tumors. In previous works, our group defined a new hormonal receptor positive subgroup, the TN-like subtype, which had a prognosis and a molecular profile more similar to triple negative tumors. In this study, proteomics and Bayesian networks were used to characterize protein relationships in 96 breast tumor samples. Components obtained by these methods had a clear functional structure. The analysis of these components suggested differences in processes such as mitochondrial function or extracellular matrix between breast cancer subtypes, including our new defined subtype TN-like. In addition, one of the components, mainly related with extracellular matrix processes, had prognostic value in this cohort. Functional approaches allow to build hypotheses about regulatory mechanisms and to establish new relationships among proteins in the breast cancer context.<br />PLoS ONE, 15 (6)<br />ISSN:1932-6203
- Subjects :
- 0301 basic medicine
Oncology
Proteomics
Disease
Directed Acyclic Graphs
Biochemistry
Extracellular matrix
Database and Informatics Methods
0302 clinical medicine
Breast Tumors
Medicine and Health Sciences
Receptor
Extracellular Matrix Proteins
Multidisciplinary
Directed Graphs
Proteomic Databases
Prognosis
Extracellular Matrix
030220 oncology & carcinogenesis
Cohort
Physical Sciences
Medicine
Cellular Structures and Organelles
Research Article
medicine.medical_specialty
Computer and Information Sciences
Science
Context (language use)
Breast Neoplasms
Biology
Research and Analysis Methods
03 medical and health sciences
Breast cancer
Internal medicine
Breast Cancer
medicine
Humans
Cancers and Neoplasms
Biology and Life Sciences
Proteins
Bayes Theorem
Cell Biology
medicine.disease
Extracellular Matrix Composition
030104 developmental biology
Biological Databases
Gene Ontology
Graph Theory
Function (biology)
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 15
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....4eee915528623f5d9c306768cdfa8a5c