title: Computational approach for deriving cancer progression roadmaps from static sample data.
abstract: As with any biological process, cancer development is inherently dynamic. While major efforts continue to catalog the genomic events associated with human cancer, it remains difficult to interpret and extrapolate the accumulating data to provide insights into the dynamic aspects of the disease. Here, we present a computational strategy that enables the construction of a cancer progression model using static tumor sample data. The developed approach overcame many technical limitations of existing methods. Application of the approach to breast cancer data revealed a linear, branching model with two distinct trajectories for malignant progression. The validity of the constructed model was demonstrated in 27 independent breast cancer data sets, and through visualization of the data in the context of disease progression we were able to identify a number of potentially key molecular events in the advance of breast cancer to malignancy.
authors.affiliation: Department of Microbiology and Immunology.|Department of Computer Science and Engineering.|Department of Biostatistics, The State University of New York, Buffalo, NY14203, USA.|Department of Biochemistry The State University of New York, Buffalo, NY14203, USA.
authors.forename: Yijun
authors.initials: Y
authors.lastname: Sun
authors.affiliation: Department of Microbiology and Immunology.
authors.forename: Jin
authors.initials: J
authors.lastname: Yao
authors.affiliation: Department of Computer Science and Engineering.
authors.forename: Le
authors.initials: L
authors.lastname: Yang
authors.affiliation: Department of Computer Science and Engineering.
authors.forename: Runpu
authors.initials: R
authors.lastname: Chen
authors.affiliation: Department of Bioinformatics and Biostatistics Roswell Park Cancer Institute, Buffalo, NY 14201, USA.
authors.forename: Norma J
authors.initials: NJ
authors.lastname: Nowak
authors.affiliation: Department of Health Sciences Research Mayo Clinic, Jacksonville, FL 32224, USA.
authors.forename: Steve
authors.initials: S
authors.lastname: Goodison
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics / Q000503:physiopathology; D019295:Computational Biology; D018450:Disease Progression; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D008954:Models, Biological; D009154:Mutation; D009369:Neoplasms / Q000235:genetics / Q000503:physiopathology*