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PhyloOncology: Understanding cancer through phylogenetic analysis.
- Source :
-
Biochimica et biophysica acta. Reviews on cancer [Biochim Biophys Acta Rev Cancer] 2017 Apr; Vol. 1867 (2), pp. 101-108. Date of Electronic Publication: 2016 Oct 31. - Publication Year :
- 2017
-
Abstract
- Despite decades of research and an enormity of resultant data, cancer remains a significant public health problem. New tools and fresh perspectives are needed to obtain fundamental insights, to develop better prognostic and predictive tools, and to identify improved therapeutic interventions. With increasingly common genome-scale data, one suite of algorithms and concepts with potential to shed light on cancer biology is phylogenetics, a scientific discipline used in diverse fields. From grouping subsets of cancer samples to tracing subclonal evolution during cancer progression and metastasis, the use of phylogenetics is a powerful systems biology approach. Well-developed phylogenetic applications provide fast, robust approaches to analyze high-dimensional, heterogeneous cancer data sets. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer?, edited by Dr. Robert A. Gatenby.<br /> (Copyright © 2016 Elsevier B.V. All rights reserved.)
- Subjects :
- Adaptation, Physiological
Algorithms
Animals
Biomarkers, Tumor metabolism
Cell Transformation, Neoplastic metabolism
Cell Transformation, Neoplastic pathology
Gene Expression Regulation, Neoplastic
Genetic Predisposition to Disease
Genomics methods
Heredity
Humans
Models, Genetic
Mutation
Neoplasms drug therapy
Neoplasms metabolism
Neoplasms pathology
Pedigree
Phenotype
Signal Transduction genetics
Systems Biology
Time Factors
Biomarkers, Tumor genetics
Cell Transformation, Neoplastic genetics
Evolution, Molecular
Genetic Fitness
Neoplasms genetics
Phylogeny
Subjects
Details
- Language :
- English
- ISSN :
- 0304-419X
- Volume :
- 1867
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Biochimica et biophysica acta. Reviews on cancer
- Publication Type :
- Academic Journal
- Accession number :
- 27810337
- Full Text :
- https://doi.org/10.1016/j.bbcan.2016.10.006