Predictive molecular classifiers in colorectal cancer


Autoria(s): Bohanes, Pierre; LaBonte, Melissa J; Winder, Thomas; Lenz, Heinz-Josef; LaBonte Wilson, Melissa
Data(s)

01/08/2011

Resumo

<p>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.</p>

Identificador

http://pure.qub.ac.uk/portal/en/publications/predictive-molecular-classifiers-in-colorectal-cancer(3e554679-ddbc-4641-bf0e-91fa36d365ac).html

http://dx.doi.org/10.1053/j.seminoncol.2011.05.012

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Bohanes , P , LaBonte , M J , Winder , T , Lenz , H-J & LaBonte Wilson , M 2011 , ' Predictive molecular classifiers in colorectal cancer ' Seminars in Oncology , vol 38 , no. 4 , pp. 576-87 . DOI: 10.1053/j.seminoncol.2011.05.012

Palavras-Chave #Animals #Biomarkers, Pharmacological #Carcinoma #Colorectal Neoplasms #Genes, erbB-1 #Humans #Models, Biological #Molecular Targeted Therapy #Prognosis #Tumor Markers, Biological
Tipo

article