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Breast cancer classification: linking molecular mechanisms to disease prognosis
- Source :
- Briefings in Bioinformatics
- Publication Year :
- 2014
- Publisher :
- Oxford University Press (OUP), 2014.
-
Abstract
- Accurate subtyping or classification of breast cancer is important for ensuring proper treatment of patients and also for understanding the molecular mechanisms driving this disease. While there have been several gene signatures proposed in the literature to classify breast tumours, these signatures show very low overlaps, different classification performance, and not much relevance to the underlying biology of these tumours. Here we evaluate DNA-damage response (DDR) and cell cycle pathways, which are critical pathways implicated in a considerable proportion of breast tumours, for their usefulness and ability in breast tumour subtyping. We think that subtyping breast tumours based on these two pathways could lead to vital insights into molecular mechanisms driving these tumours. Here, we performed a systematic evaluation of DDR and cell-cycle pathways for subtyping of breast tumours into the five known intrinsic subtypes. Homologous Recombination (HR) pathway showed the best performance in subtyping breast tumours, indicating that HR genes are strongly involved in all breast tumours. Comparisons of pathway based signatures and two standard gene signatures supported the use of known pathways for breast tumour subtyping. Further, the evaluation of these standard gene signatures showed that breast tumour subtyping, prognosis and survival estimation are all closely related. Finally, we constructed an all-inclusive super-signature by combining (union of) all genes and performing a stringent feature selection, and found it to be reasonably accurate and robust in classification as well as prognostic value. Adopting DDR and cell cycle pathways for breast tumour subtyping achieved robust and accurate breast tumour subtyping, and constructing a super-signature which contains feature selected mix of genes from these molecular pathways as well as clinical aspects is valuable in clinical practice.
- Subjects :
- 060102 Bioinformatics
DNA damage
Breast Neoplasms
Disease
Computational biology
Biology
Risk Assessment
Sensitivity and Specificity
Breast cancer
Protein Interaction Mapping
Biomarkers, Tumor
medicine
Humans
skin and connective tissue diseases
Molecular Biology
Gene
Gene Expression Profiling
Reproducibility of Results
biomarkers
Cell cycle
Prognosis
molecular signature
medicine.disease
Subtyping
Neoplasm Proteins
clinical subtypes
Molecular Diagnostic Techniques
gene expression
Female
breast cancer classification
Homologous recombination
Breast cancer classification
Information Systems
Subjects
Details
- ISSN :
- 14774054 and 14675463
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Briefings in Bioinformatics
- Accession number :
- edsair.doi.dedup.....2349af77283ed12e0a6e90c9032c122f
- Full Text :
- https://doi.org/10.1093/bib/bbu020