One of the approaches in the immunotherapy of breast cancer patients involves vaccination with peptides derived from tumor-associated antigens specifically designed to associate with T cells in the context of major histocompatibility complex (MHC) class I and class II molecules. This approach is non-toxic and has the potential of controlling disease and prolonging time to recurrence and ultimately, even serving as a preventive measure. Tumor specific antigens, including MUC1 and tumor associated carbohydrate antigens (TACA) have been shown to elicit tumor-specific cytotoxic T lymphocytes (CTLs) and establish a non-self reactive long-term immune memory. MUC1 is a widely expressed tumor- antigen that is over expressed and aberrantly glycosylated on greater than 90% of breast carcinomas and has been shown to elicit tumorspecific immunity. Several clinical trials using non-glycosylated MUC1 tandem repeat sequences have elicited MUC1-specific CTLs with limited effects on clinical response. However, MUC1 occurs naturally as a heavily glycosylated protein which contains TACA. TACA-containing glycopeptides are appealing CTL-based vaccines as they are widely expressed in breast tumors, their expression is largely tumor specific, and they are induced early during neoplastic transformation. Our objective is to develop optimal breast cancer-based vaccines comparing glycosylated and non-glycosylated natural and anchor-improved peptides derived from the MUC1 sequence. Our hypothesis is that eliciting immunity to glycosylated and/or anchor-improved MUC1 peptides will result in anti-tumor immunity and long-term immune memory. The vaccine design addresses breast cancer prevention as well as immunotherapy after tumor onset.
Our specific aims are 1) to generate and characterize CTLs specific for Kb and Db MHC class l-binding MUC1 peptides and assess their effectiveness in the prevention and treatment of spontaneous mammary gland carcinomas in mouse models, 2) to determine in vitro the optimal MUC1 peptides for immunotherapy in HILA-A*0201 individuals, 3) to ascertain """"""""immune competence"""""""" of breast cancer patients following primary cancer therapy, and 4) to translate the most effective vaccine strategies in phase I clinical trials in patients with minimal residual disease.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA116201-05
Application #
7890424
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2009-09-01
Budget End
2010-08-31
Support Year
5
Fiscal Year
2009
Total Cost
$373,582
Indirect Cost
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Reese, Jordan M; Bruinsma, Elizabeth S; Nelson, Adam W et al. (2018) ER?-mediated induction of cystatins results in suppression of TGF? signaling and inhibition of triple-negative breast cancer metastasis. Proc Natl Acad Sci U S A 115:E9580-E9589
Lilyquist, Jenna; Ruddy, Kathryn J; Vachon, Celine M et al. (2018) Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future. Cancer Epidemiol Biomarkers Prev 27:380-394
Yu, Jia; Qin, Bo; Moyer, Ann M et al. (2018) DNA methyltransferase expression in triple-negative breast cancer predicts sensitivity to decitabine. J Clin Invest 128:2376-2388
Kannan, Nagarajan; Eaves, Connie J (2018) Macrophages stimulate mammary stem cells. Science 360:1401-1402
Guidugli, Lucia; Shimelis, Hermela; Masica, David L et al. (2018) Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches. Am J Hum Genet 102:233-248
Kurmi, Kiran; Hitosugi, Sadae; Wiese, Elizabeth K et al. (2018) Carnitine Palmitoyltransferase 1A Has a Lysine Succinyltransferase Activity. Cell Rep 22:1365-1373
Goetz, Matthew P; Sangkuhl, Katrin; Guchelaar, Henk-Jan et al. (2018) Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and Tamoxifen Therapy. Clin Pharmacol Ther 103:770-777
Baheti, Saurabh; Tang, Xiaojia; O'Brien, Daniel R et al. (2018) HGT-ID: an efficient and sensitive workflow to detect human-viral insertion sites using next-generation sequencing data. BMC Bioinformatics 19:271
Hart, Steven N; Hoskin, Tanya; Shimelis, Hermela et al. (2018) Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models. Genet Med :
Ho, Ming-Fen; Correia, Cristina; Ingle, James N et al. (2018) Ketamine and ketamine metabolites as novel estrogen receptor ligands: Induction of cytochrome P450 and AMPA glutamate receptor gene expression. Biochem Pharmacol 152:279-292

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