IgG Responses to Tissue-Associated Antigens as Biomarkers of Immunological Treatment Efficacy

We previously demonstrated that IgG responses to a panel of 126 prostate tissue-associated antigens are common in patients with prostate cancer. In the current report we questioned whether changes in IgG responses to this panel might be used as a measure of immune response, and potentially antigen s...

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Bibliographic Details
Published in:BioMed research international 2011-01, Vol.2011 (2011), p.1-10
Main Authors: Smith, Heath A., Maricque, Brett B., Eberhardt, John, Petersen, Benjamin, Gulley, James L., Schlom, Jeffrey, McNeel, Douglas G.
Format: Article
Language:English
Subjects:
Algorithms
Antigens
Antigens, Neoplasm - immunology
Artificial Intelligence
Bayes Theorem
Biological markers
Biomarkers
Biomarkers, Tumor - blood
Biomarkers, Tumor - immunology
Cancer therapies
Cancer Vaccines - administration & dosage
Cancer Vaccines - immunology
Care and treatment
Computational Biology
Estimates
Health aspects
Humans
Immune system
Immunoblotting
Immunoglobulin G
Immunoglobulin G - blood
Immunoglobulin G - immunology
Male
Medical research
Physiological aspects
Prostate cancer
Prostatic Neoplasms - immunology
Prostatic Neoplasms - metabolism
Prostatic Neoplasms - therapy
Signal Transduction
Treatment Outcome
Vaccines, DNA - immunology
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Summary:We previously demonstrated that IgG responses to a panel of 126 prostate tissue-associated antigens are common in patients with prostate cancer. In the current report we questioned whether changes in IgG responses to this panel might be used as a measure of immune response, and potentially antigen spread, following prostate cancer-directed immune-active therapies. Sera were obtained from prostate cancer patients prior to and three months following treatment with androgen deprivation therapy (n=34), a poxviral vaccine (n=31), and a DNA vaccine (n=21). Changes in IgG responses to individual antigens were identified by phage immunoblot. Patterns of IgG recognition following three months of treatment were evaluated using a machine-learned Bayesian Belief Network (ML-BBN). We found that different antigens were recognized following androgen deprivation compared with vaccine therapies. While the number of clinical responders was low in the vaccine-treated populations, we demonstrate that ML-BBN can be used to develop potentially predictive models.
ISSN:1110-7243
2314-6133
1110-7251
2314-6141
DOI:10.1155/2011/454861