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Expression, specificity and immunotherapy potential of prostate-associated genes in murine cell lines

  • Michael E. Grossmann(corresponding author)
    ,
  • Monique Wood
    ,
  • Esteban Celis
*Corresponding author for this work
  • Mayo Clinic Rochester, MN
    ,
  • Mayo Clinic College of Medicine and Science
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

The TRAMP-C1 (Cl) and TRAMP-C2 (C2) cell lines were derived from a prostate tumor that arose in a mouse from the transgenic adenocarcinoma mouse prostate (TRAMP) model. However, their similarity to primary prostate tumors and therefore their usefulness in immunotherapy studies has not been clearly denned. We showed using RT-PCR that these cell lines exhibited a variety of prostate-specific genes expressed by human prostate tumors that may be used as tumor-associated antigens for immunotherapy. Interestingly, several of these genes are also expressed in cell lines that are not prostatic in origin. The prostate cell lines were also shown to grow in an androgen-independent manner, to be capable of expressing MHC class I and to be susceptible to specific lysis by cytotoxic T lymphocytes. Therefore, these cell lines will provide us with the ability to evaluate immune responses to and tolerance of prostate-specific protein peptides in an animal model.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 365-370 (6 pages)

Journal (Volume, Issue Number)

World Journal of Urology (Volume 19, Issue 5)

Publication milestones

  • Published - 2001

Publication status

Published - 2001

ISSN

0724-4983

Publication IDs

  • Scopus: 0035512419
  • PubMed: 11760786

Publication metrics

Metrics

Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
FWCI
0.35
SciVal
Author count
3
SciVal
citations
20
SciVal
Paper percentile
70

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Citation count
20
Captures
26

Funding Details

Acknowledgements This work was supported by grants from the NIH (R01CA82677 and Training Grant CA09127).