Identification of novel HLA-A*0201-restricted epitopes from anterior gradient-2 as a tumor-associated antigen against colorectal cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-03

AUTHORS

Hyun Ju Lee, Cheol Yi Hong, Chun-Ji Jin, Mi-Hyun Kim, Youn-Kyung Lee, Thanh-Nhan Nguyen-Pham, Hyunah Lee, Byoung Chul Park, Ik-Joo Chung, Hyeoung-Joon Kim, Je-Jung Lee

ABSTRACT

Anterior gradient-2 (AGR2) promotes tumor growth, cell migration and cellular transformation and its enhanced expression is almost completely restricted to malignant tissues, thus making AGR2 an interesting target for the development of immunotherapeutic strategies. We investigated whether the AGR2 molecule comprises human leukocyte antigen (HLA)-A*0201-binding epitopes recognized by human cytotoxic T lymphocytes (CTLs), which could be targeted in dendritic cell (DC)-based cancer immunotherapy against colorectal cancer (CRC). We reviewed the sequence of AGR2 for peptides that could potentially bind to HLA-A*0201 with the aid of a computer-based program. Five candidate peptides with different binding scores were synthesized and tested. These peptides were then assessed for their immunogenicity to elicit specific immune responses mediated by CTLs in vitro by means of enzyme-linked immunospot assays and CTL assays. AGR2 was highly expressed in several CRC cell lines, including DK01, DLD1, KM12C, HCT-8 and HT-29. DCs pulsed with AGR2-P2 (aa 11-19; LLVALSYTL) or AGR2-P4 (aa 127-135; RIMFVDPSL) generated potent CTLs that could lyse T2 cells pulsed with AGR2-P2 or AGR2-P4 and HLA-A0201(+) AGR2-positive CRC cell lines in a strong dose-dependent and HLA-A*0201-restricted manner. In conclusion, these novel epitopes derived from AGR2 protein may be attractive candidates for DC-based immunotherapy for CRC. More... »

PAGES

cmi201152

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/cmi.2011.52

DOI

http://dx.doi.org/10.1038/cmi.2011.52

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029932736

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22231555


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