title: Ménage à trois: an evolutionary interplay between human papillomavirus, a tumor, and a woman.
abstract: Cervical cancer is the third most common cancer in women with human papillomavirus (HPV) being a key etiologic factor of this devastating disease. In this article, we describe modern advances in the genomics and transcriptomics of cervical cancer that led to uncovering the key gene drivers. We also introduce, herein, a model of cervical carcinogenesis that explains how the interplay between virus, tumor, and woman results in the selection of clones that simultaneously harbor genomic amplifications for genes that drive cell cycle, antiviral response, and inhibit cell differentiation. The new model may help researchers understand the controversies in antiviral therapy and immunogenetics of this cancer and may provide a basis for future research directions in early diagnostics and personalization of therapy.
authors.affiliation: College of Veterinary Medicine, Oregon State University, Corvallis, OR, USA.
authors.forename: Natalia
authors.initials: N
authors.lastname: Shulzhenko
authors.affiliation: Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.
authors.forename: Heidi
authors.initials: H
authors.lastname: Lyng
authors.affiliation: Institute of Health Sciences, Federal University of Mato Grosso, Sinop, MT, Brazil.
authors.forename: Gerdine F
authors.initials: GF
authors.lastname: Sanson
authors.affiliation: College of Pharmacy, Oregon State University, Corvallis, OR, USA. Electronic address: anemorgun@hotmail.com.
authors.forename: Andrey
authors.initials: A
authors.lastname: Morgun
mesh_terms: D052685:Alphapapillomavirus / Q000502:physiology*; D063646:Carcinogenesis; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D015894:Genome, Human; D054884:Host-Pathogen Interactions; D006801:Humans; D008954:Models, Biological; D002583:Uterine Cervical Neoplasms / Q000473:pathology / Q000821:virology*
keywords: cervical cancer; driver genes; gene expression; genomic aberrations; human papillomavirus; immune response; network analysis