Affiliation:
1. Department of Biosciences, Biotechnologies < Biopharmaceutics, University of Bari, Bari, Italy
Abstract
Background:
Anti-ovarian cancer vaccines based on minimal immune determinants uniquely
expressed in ovarian cancer biomarkers appear to promise a high level of sensitivity and specificity for
ovarian cancer immunodiagnostics, immunoprevention, and immunotherapy.
Methods:
Using the Pir Peptide Match program, three ovarian cancer biomarkers – namely, sperm surface
protein Sp17, WAP four-disulfide core domain protein 2, and müllerian-inhibiting substance – were
searched for unique peptide segments not shared with other human proteins. Then, the unique peptide
segments were assembled to define oligopeptides potentially usable as synthetic ovarian cancer antigens.
Results and Conclusion:
This study describes a methodology for constructing ovarian cancer biomarkerderived
oligopeptide constructs that might induce powerful, specific, and non-crossreactive immune
responses against ovarian cancer.
Publisher
Bentham Science Publishers Ltd.
Cited by
3 articles.
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