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• W2804470420 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." @default.
• W2804470420 created "2018-06-01" @default.
• W2804470420 creator A5040099455 @default.
• W2804470420 date "2019-10-14" @default.
• W2804470420 modified "2023-09-24" @default.
• W2804470420 title "Oligopeptides for Immunotherapy Approaches in Ovarian Cancer Treatment" @default.
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• W2804470420 doi "https://doi.org/10.2174/1570163815666180525071740" @default.
• W2804470420 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29793409" @default.
• W2804470420 hasPublicationYear "2019" @default.
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