Do online prognostication tools represent a valid alternative to genomic profiling in the context of adjuvant treatment of early breast cancer? A systematic review of the literature.

Abstract

INTRODUCTION:

Decision-making regarding adjuvant chemotherapy has been based on clinical and pathological features. However, such decisions are seldom consistent. Web-based predictive models have been developed using data from cancer registries to help determine the need for adjuvant therapy. More recently, with the recognition of the heterogenous nature of breast cancer, genomic assays have been developed to aid in the therapeutic decision-making.

METHODS:

We have carried out a comprehensive literature review regarding online prognostication tools and genomic assays to assess whether online tools could be used as valid alternatives to genomic profiling in decision-making regarding adjuvant therapy in early breast cancer.

RESULTS AND CONCLUSIONS:

Breast cancer has been recently recognized as a heterogenous disease based on variations in molecular characteristics. Online tools are valuable in guiding adjuvant treatment, especially in resource constrained countries. However, in the era of personalized therapy, molecular profiling appears to be superior in predicting clinical outcome and guiding therapy.

• Authors: Hiba El Hage Chehade, Umar Wazir, Kinan Mokbel, Abdul Kasem, Kefah Mokbel
• Journal: American journal of surgery (Am J Surg) Vol. 215 Issue 1 Pg. 171-178 (Jan 2018) ISSN: 1879-1883 [Electronic] United States
• PMID: 28622841 (Publication Type: Journal Article, Review, Systematic Review)
• Copyright: Copyright © 2017 Elsevier Inc. All rights reserved.

Chemical References

• Antineoplastic Agents
• Biomarkers, Tumor

Topics

• Antineoplastic Agents (therapeutic use)
• Biomarkers, Tumor (genetics)
• Breast Neoplasms (drug therapy, genetics, surgery)
• Chemotherapy, Adjuvant
• Clinical Decision-Making (methods)
• Decision Support Systems, Clinical
• Female
• Gene Expression Profiling
• Genetic Testing
• Genomics
• Humans
• Internet
• Medical Overuse (prevention & control)
• Practice Guidelines as Topic
• Precision Medicine (methods)
• Prognosis