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Xenoantigen, an αGal epitope-expression construct driven by the hTERT-promoter, specifically kills human pancreatic cancer cell line

Overview of attention for article published in Cancer Cell International, October 2002
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Title
Xenoantigen, an αGal epitope-expression construct driven by the hTERT-promoter, specifically kills human pancreatic cancer cell line
Published in
Cancer Cell International, October 2002
DOI 10.1186/1475-2867-2-14
Pubmed ID
Authors

Tokihiko Sawada, Osamu Yamada, Naoko Yoshimura, Keiko Hatori, Shohei Fuchinoue, Satoshi Teraoka

Abstract

BACKGROUND: We previously reported the usefulness of the alphaGal epitope as a target molecule for gene therapy against cancer. To induce cancer cell specific transcription of the alphaGal epitope, an expression vector which synthesizes the alphaGal epitope under the control of a promoter region of the human telomerase reverse transcriptase (hTERT), NK7, was constructed. METHODS: NK7 was transfected into a human pancreatic carcinoma cell line, MIA cells, and telomerase-negative SUSM-1 cells served controls. Expression of the alphaGal epitope was confirmed by flow cytometry using IB4 lectin. The susceptibility of transfected MIA cells to human natural antibodies, was examined using a complement-dependent cytotoxic cross-match test (CDC) and a flow cytometry using annexin V. RESULTS: The alphaGal epitope expression was detected only on the cell surfaces of NK7-transfected MIA cells, i.e., not on naive MIA cells or telomerase negative SUSM-1 cells. The CDC results indicated that MIA cells transfected with NK7 are susceptible to human natural antibody-mediated cell killing, and the differences, as compared to NK-7 transfected telomerase negative SUSM-1 cells or telomerase positive naïve MIA cells, were statistically significant. The flow cytometry using annexin V showed a higher number of the apoptotic cells in NK-7 transfected MIA cells than in naïve MIA cells. CONCLUSIONS: The results suggest that alphaGal epitope-expression, under the control of the hTERT-promoter, may be useful in cancer specific gene therapy.

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Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor 1 17%
Librarian 1 17%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Computer Science 1 17%
Immunology and Microbiology 1 17%
Chemistry 1 17%
Unknown 1 17%