title: Predictive molecular classifiers in colorectal cancer.
abstract: The introduction of predictive molecular markers has radically enhanced the identification of which patients may benefit from a given treatment. Despite recent controversies, KRAS mutation is currently the most recognized molecular predictive marker in colorectal cancer (CRC), predicting efficacy of anti-epidermal growth factor receptor (anti-EGFR) antibodies. However, other relevant markers have been reported and claimed to identify patients that will benefit from anti-EGFR therapies. This group of markers includes BRAF mutations, PI3KCA mutations, and loss of PTEN expression. Similarly, molecular markers for cytotoxic agents' efficacy also may predict outcome in patients with CRC. This review aims to summarize the most important predictive molecular classifiers in patients with CRC and further discuss any inconsistent or conflicting findings for these molecular classifiers.
authors.affiliation: Division of Medical Oncology, University of Southern California/Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA, USA.
authors.forename: Pierre
authors.initials: P
authors.lastname: Bohanes
authors.forename: Melissa J
authors.initials: MJ
authors.lastname: LaBonte
authors.forename: Thomas
authors.initials: T
authors.lastname: Winder
authors.forename: Heinz-Josef
authors.initials: HJ
authors.lastname: Lenz
mesh_terms: D000818:Animals; D054316:Biomarkers, Pharmacological / Q000032:analysis / Q000378:metabolism; D014408:Biomarkers, Tumor / Q000032:analysis / Q000235:genetics* / Q000502:physiology; D002277:Carcinoma / Q000145:classification / Q000175:diagnosis* / Q000235:genetics*; D015179:Colorectal Neoplasms / Q000145:classification / Q000175:diagnosis* / Q000235:genetics*; D018773:Genes, erbB-1; D006801:Humans; D008954:Models, Biological; D058990:Molecular Targeted Therapy; D011379:Prognosis
chemical_list: D054316:Biomarkers, Pharmacological; D014408:Biomarkers, Tumor