Immune monitoring in cancer vaccine clinical trials: critical issues of functional flow cytometry-based assays

Biomed Res Int. 2013:2013:726239. doi: 10.1155/2013/726239. Epub 2013 Sep 30.

Abstract

The development of immune monitoring assays is essential to determine the immune responses against tumor-specific antigens (TSAs) and tumor-associated antigens (TAAs) and their possible correlation with clinical outcome in cancer patients receiving immunotherapies. Despite the wide range of techniques used, to date these assays have not shown consistent results among clinical trials and failed to define surrogate markers of clinical efficacy to antitumor vaccines. Multiparameter flow cytometry- (FCM-) based assays combining different phenotypic and functional markers have been developed in the past decade for informative and longitudinal analysis of polyfunctional T-cells. These technologies were designed to address the complexity and functional heterogeneity of cancer biology and cellular immunity and to define biomarkers predicting clinical response to anticancer treatment. So far, there is still a lack of standardization of some of these immunological tests. The aim of this review is to overview the latest technologies for immune monitoring and to highlight critical steps involved in some of the FCM-based cellular immune assays. In particular, our laboratory is focused on melanoma vaccine research and thus our main goal was the validation of a functional multiparameter test (FMT) combining different functional and lineage markers to be applied in clinical trials involving patients with melanoma.

Publication types

  • Review

MeSH terms

  • Animals
  • Antigens, Neoplasm / immunology
  • Antigens, Neoplasm / therapeutic use*
  • Biomarkers, Tumor / immunology*
  • Cancer Vaccines / immunology*
  • Cancer Vaccines / therapeutic use
  • Clinical Trials as Topic
  • Flow Cytometry / methods*
  • Humans
  • Melanoma / immunology
  • Melanoma / therapy*
  • T-Lymphocytes / immunology
  • T-Lymphocytes / pathology

Substances

  • Antigens, Neoplasm
  • Biomarkers, Tumor
  • Cancer Vaccines