Predictive and prognostic molecular markers for cancer medicine

Author:

Mehta Sunali1,Shelling Andrew2,Muthukaruppan Anita2,Lasham Annette1,Blenkiron Cherie1,Laking George3,Print Cristin4

Affiliation:

1. School of Medical Sciences, University of Auckland, Auckland, New Zealand

2. Department of Obstetrics and Gynecology, School of Medicine, University of Auckland, Auckland, New Zealand

3. School of Medical Sciences, University of Auckland, Private Bag 92019, Auckland, New Zealand, Regional Cancer and Blood Service, Auckland District Health Board, Auckland, New Zealand

4. Department of Molecular Medicine & Pathology, School of Medical Sciences, University of Auckland, Private Bag 92019, Auckland, New Zealand

Abstract

Over the last 10 years there has been an explosion of information about the molecular biology of cancer. A challenge in oncology is to translate this information into advances in patient care. While there are well-formed routes for translating new molecular information into drug therapy, the routes for translating new information into sensitive and specific diagnostic, prognostic and predictive tests are still being developed. Similarly, the science of using tumor molecular profiles to select clinical trial participants or to optimize therapy for individual patients is still in its infancy. This review will summarize the current technologies for predicting treatment response and prognosis in cancer medicine, and outline what the future may hold. It will also highlight the potential importance of methods that can integrate molecular, histopathological and clinical information into a synergistic understanding of tumor progression. While these possibilities are without doubt exciting, significant challenges remain if we are to implement them with a strong evidence base in a widely available and cost-effective manner.

Publisher

SAGE Publications

Subject

Oncology

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