Chapter title |
Peptide-Based Cancer Vaccine Strategies and Clinical Results.
|
---|---|
Chapter number | 46 |
Book title |
Vaccine Design
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3387-7_46 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3385-3, 978-1-4939-3387-7
|
Authors |
Erika Schneble D.O., G. Travis Clifton M. D., F.A.C.S, Diane F. Hale M. D., George E. Peoples M.D., F.A.C.S., Erika Schneble, G. Travis Clifton, Diane F. Hale, George E. Peoples, Schneble, Erika, Clifton, G. Travis, Hale, Diane F., Peoples, George E. |
Editors |
Sunil Thomas |
Abstract |
Active cancer immunotherapy is an exciting and developing field in oncology research. Peptide vaccines, the use of isolated immunogenic tumor-associated antigen (TAA) epitopes to generate an anticancer immune response, are an attractive option as they are easily produced and administered with minimal toxicity. Multiple TAA-derived peptides have been identified and evaluated with various vaccine strategies currently in clinical testing. Research suggests that utilizing vaccines in patients with minimal-residual disease may be a more effective strategy compared to targeting patients with widely metastatic disease as it avoids the immune suppression and tolerance associated with higher volumes of more established disease. Clinical trials also suggest that vaccines may need to be tailored and administered to specific cancer subtypes to achieve maximum efficacy. Additionally, numerous immunomodulators now in research and development show potential synergy with peptide vaccines. Our group has focused on a simpler, single-peptide strategy largely from the HER2/neu protein. We will discuss our experience thus far as well as review other peptide vaccine strategies that have shown clinical efficacy. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 26% |
Student > Master | 4 | 11% |
Other | 3 | 9% |
Student > Bachelor | 3 | 9% |
Lecturer | 1 | 3% |
Other | 3 | 9% |
Unknown | 12 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 23% |
Medicine and Dentistry | 4 | 11% |
Immunology and Microbiology | 4 | 11% |
Agricultural and Biological Sciences | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 2 | 6% |
Unknown | 14 | 40% |