Journal of Zhejiang University SCIENCE B

, Volume 13, Issue 9, pp 663–675

Molecular biomarkers of colorectal cancer: prognostic and predictive tools for clinical practice

Authors

  • Wei-qin Jiang
    • Cancer Center, the First Affiliated Hospital, School of MedicineZhejiang University
  • Fang-fang Fu
    • Institute of Infectious Diseases, the First Affiliated Hospital, School of MedicineZhejiang University
  • Yang-xia Li
    • Institute of Infectious Diseases, the First Affiliated Hospital, School of MedicineZhejiang University
  • Wei-bin Wang
    • Cancer Center, the First Affiliated Hospital, School of MedicineZhejiang University
  • Hao-hao Wang
    • Cancer Center, the First Affiliated Hospital, School of MedicineZhejiang University
  • Hai-ping Jiang
    • Cancer Center, the First Affiliated Hospital, School of MedicineZhejiang University
    • Cancer Center, the First Affiliated Hospital, School of MedicineZhejiang University
Review

DOI: 10.1631/jzus.B1100340

Cite this article as:
Jiang, W., Fu, F., Li, Y. et al. J. Zhejiang Univ. Sci. B (2012) 13: 663. doi:10.1631/jzus.B1100340

Abstract

Colorectal cancer remains one of the most common types of cancer and leading causes of cancer death worldwide. Although we have made steady progress in chemotherapy and targeted therapy, evidence suggests that the majority of patients undergoing drug therapy experience severe, debilitating, and even lethal adverse drug events which considerably outweigh the benefits. The identification of suitable biomarkers will allow clinicians to deliver the most appropriate drugs to specific patients and spare them ineffective and expensive treatments. Prognostic and predictive biomarkers have been the subjects of many published papers, but few have been widely incorporated into clinical practice. Here, we want to review recent biomarker data related to colorectal cancer, which may have been ready for clinical use.

Key words

Colorectal cancerBiomarkerPredictive valuePrognostic valueChemotherapyTargeted therapy

CLC number

R735.3
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Copyright information

© Zhejiang University and Springer-Verlag Berlin Heidelberg 2012