Biomarker-Based Prediction of Response to Therapy for Colorectal Cancer

DOI PDF 2 Citations
  • Jeffrey S. Ross
    1Department of Pathology and Laboratory Medicine, Albany Medical College, Albany, NY
  • Jorge Torres-Mora
    1Department of Pathology and Laboratory Medicine, Albany Medical College, Albany, NY
  • Nikhil Wagle
    3Dana Farber Cancer Institute and Harvard Medical School, Boston, MA
  • Timothy A. Jennings
    1Department of Pathology and Laboratory Medicine, Albany Medical College, Albany, NY
  • David M. Jones
    1Department of Pathology and Laboratory Medicine, Albany Medical College, Albany, NY

Description

<jats:title>Abstract</jats:title> <jats:p>The diagnosis and management of colorectal cancer (CRC) has been impacted by the discovery and validation of a wide variety of biomarkers designed to facilitate a personalized approach for the treatment of the disease. Recently, CRC has been reclassified based on molecular analyses of various genes and proteins capable of separating morphologic types of tumors into molecular categories. At the same time, a number of new prognostic and predictive single genes and proteins have been discovered that are designed to reflect sensitivity and/or resistance to existing therapies. Multigene predictors have also been developed to predict the risk of relapse for intermediate-stage CRC after completion of surgical extirpation. More recently, a number of biomarkers tested by a variety of methods have been proposed as specific predictors of chemotherapy and radiotherapy response. Other markers have been successfully used to predict toxic effects of standard therapies. In this review, a series of novel biomarkers are considered and compared with standard-of-care markers for their potential use as pharmacogenomic and pharmacogenetic predictors of disease outcome.</jats:p>

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