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Translating colorectal cancer genetics into clinically useful biomarkers
Author(s) -
MorleyBunker A.,
Walker L. C.,
Currie M. J.,
Pearson J.,
Eglinton T.
Publication year - 2016
Publication title -
colorectal disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.029
H-Index - 89
eISSN - 1463-1318
pISSN - 1462-8910
DOI - 10.1111/codi.13334
Subject(s) - medicine , colorectal cancer , molecular biomarkers , clinical trial , radiation therapy , molecular diagnostics , cancer , targeted therapy , bioinformatics , oncology , intensive care medicine , biology
Abstract Colorectal cancer ( CRC ) is a major health problem worldwide accounting for over a million deaths annually. While many patients with Stage II and III CRC can be cured with combinations of surgery, radiotherapy and chemotherapy, this is morbid costly treatment and a significant proportion will suffer recurrence and eventually die of CRC . Increased understanding of the molecular pathogenesis of CRC has the potential to identify high risk patients and target therapy more appropriately. Despite increased understanding of the molecular events underlying CRC development, established molecular techniques have only produced a limited number of biomarkers suitable for use in routine clinical practice to predict risk, prognosis and response to treatment. Recent rapid technological developments, however, have made genomic sequencing of CRC more economical and efficient, creating potential for the discovery of genetic biomarkers that have greater diagnostic, prognostic and therapeutic capabilities for the management of CRC . This paper reviews the current understanding of the molecular pathogenesis of CRC , and summarizes molecular biomarkers that surgeons will encounter in current clinical use as well as those under development in clinical and preclinical trials. New molecular technologies are reviewed together with their potential impact on the understanding of the molecular pathogenesis of CRC and their potential clinical utility in classification, diagnosis, prognosis and targeting of therapy.