| Literature DB >> 32694208 |
Francoise Remacle1,2, Thomas G Graeber3,4,5,6,7, R D Levine8,9,5,6,10.
Abstract
Genomic instability contributes to tumorigenesis through the amplification and deletion of cancer driver genes. DNA copy number (CN) profiling of ensembles of tumors allows a thermodynamic analysis of the profile for each tumor. The free energy of the distribution of CNs is found to be a monotonically increasing function of the average chromosomal ploidy. The dependence is universal across several cancer types. Surprisal analysis distinguishes two main known subgroups: tumors with cells that have or have not undergone whole-genome duplication (WGD). The analysis uncovers that CN states having a narrower distribution are energetically more favorable toward the WGD transition. Surprisal analysis also determines the deviations from a fully stable-state distribution. These deviations reflect constraints imposed by tumor fitness selection pressures. The results point to CN changes that are more common in high-ploidy tumors and thus support altered selection pressures upon WGD.Entities:
Keywords: aneuploid; free energy; genomic instability; surprisal analysis; whole-genome doubling
Mesh:
Year: 2020 PMID: 32694208 PMCID: PMC7414060 DOI: 10.1073/pnas.1920870117
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205