title: Genetic variations as cancer prognostic markers: review and update.
abstract: Cancer molecular epidemiology traditionally studies the relationship between genetic variations and cancer risk. However, recent studies have also focused on disease outcomes. The application and design of disease outcome studies have been an extension of disease risk assessment. Yet there are a number of unique considerations important in outcome assessments. We review how genetic approaches used for disease susceptibility, such as candidate gene and genome-wide association study (GWAS) approaches, can be adapted carefully to systematically identify cancer prognostic and predictive alleles. We discuss the interrelatedness among the disease susceptibility, treatment response, and prognosis at the genetic level and focus on how the emerging technologies and approaches can uniquely benefit the genetic prognosis studies.
authors.affiliation: Department of Medical Biophysics, Division of Applied Molecular Oncology, Ontario Cancer Institute, Toronto, Ontario, Canada. savas@mun.ca
authors.forename: Sevtap
authors.initials: S
authors.lastname: Savas
authors.forename: Geoffrey
authors.initials: G
authors.lastname: Liu
mesh_terms: D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D006801:Humans; D011379:Prognosis
chemical_list: D005819:Genetic Markers