Autoantibodies against cell surface GRP78 promote tumor growth in a murine model of melanoma.

Published

Journal Article

Autoantibodies that react with GRP78 expressed on the cell-surface of many tumor cell lines occur in the sera of patients with prostate cancer, melanoma, and ovarian cancer. These autoantibodies are a negative prognostic factor in prostate cancer and, when purified, stimulate tumor cell proliferation in vitro. It is unclear, however, whether these immunoglobulin Gs are merely a biomarker, or whether they actually promote the tumor growth in vivo. We immunized C57Bl/6 mice with recombinant GRP78 and then implanted the B16F1 murine melanoma cell line as flank tumors. We used the antisera from these mice for in-vitro cell signaling and proliferation assays. The immunodominant epitope in patients with cancer was well represented in the antibody repertoire of these immunized mice. We observed significantly accelerated tumor growth, and shortened survival in GRP78-immunized mice compared with controls. Furthermore, antisera from these mice, and purified anti-GRP78 immunoglobulin G from similarly immunized mice, stimulate Akt phosphorylation and proliferation in B16F1 and human DM6 melanoma cells in culture. These studies show a causal link between a humoral response to GRP78 and the progression of cancer in a murine melanoma model. They support the hypothesis that such autoantibodies are involved in the progression of human cancers and are not simply a biomarker. As GRP78 is present on the surface of many types of cancer cells, this hypothesis has broad clinical and therapeutic implications.

Full Text

Duke Authors

Cited Authors

  • de Ridder, GG; Gonzalez-Gronow, M; Ray, R; Pizzo, SV

Published Date

  • February 2011

Published In

Volume / Issue

  • 21 / 1

Start / End Page

  • 35 - 43

PubMed ID

  • 21164368

Pubmed Central ID

  • 21164368

Electronic International Standard Serial Number (EISSN)

  • 1473-5636

International Standard Serial Number (ISSN)

  • 0960-8931

Digital Object Identifier (DOI)

  • 10.1097/CMR.0b013e3283426805

Language

  • eng