Abstract
Neoadjuvant therapy for colorectal cancer offers potential oncological benefits but is associated with increased surgical risk. Predictive biomarkers would allow the personalization of this risk/benefit balance, with treatment stratified by likely response. Although current clinical application of predictive biomarkers is limited, a number of potential targets have been proposed. This review summarizes some of the approaches being used to develop predictive biomarkers for the personalization of colorectal cancer management.
Financial & competing interests disclosure
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
No writing assistance was utilized in the production of this manuscript.