Table of Contents Author Guidelines Submit a Manuscript
Journal of Biomedicine and Biotechnology
Volume 2011, Article ID 307297, 4 pages
http://dx.doi.org/10.1155/2011/307297
Review Article

Microarray Analysis for a Comprehensive Immunological-Status Evaluation during Cancer Vaccine Immune Monitoring

1Department of Pathology and Diagnostic, University of Verona Medical School, Verona, Italy
2Azienda Ospedaliera Universitaria Integrata, Verona, Italy
3Infectious Disease and Immunogenetics Section, Department of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA

Received 1 July 2011; Accepted 5 August 2011

Academic Editor: Yongqun O. He

Copyright © 2011 Vladia Monsurrò and Francesco M. Marincola. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Anticancer immune responses can be enhanced by immune intervention that promotes complex biological mechanisms involving several cellular populations. The classical immune monitoring for biological-based cancer clinical trials is often based on single-cell analysis. However, the overall effect could be lost by such a reductionist approach explaining the lack of correlation among clinical and immunological endpoints often reported. Microarray technology could give the possibility of studying in a multiparametric setting the immune therapy effects. The application of microarray is leading to an improved understanding of the immune responses to tumor immunotherapy. In fact, analysis of cancer vaccine-induced host responses using microarrays is proposed as valuable alternative to the standard cell-based methods. This paper shows successful examples of how high-throughput gene expression profiling contributed to the understanding of anticancer immune responses during biological therapy, introducing as well the integrative platforms that allow the network analysis in molecular biology studies.