Journal Article

Plasma protein kinase C (PKC)α as a biomarker for the diagnosis of cancers

Jeong-Hun Kang, Daisuke Asai, Riki Toita, Hirotaro Kitazaki and Yoshiki Katayama

in Carcinogenesis

Volume 30, issue 11, pages 1927-1931
Published in print November 2009 | ISSN: 0143-3334
Published online August 2009 | e-ISSN: 1460-2180 | DOI: http://dx.doi.org/10.1093/carcin/bgp210
Plasma protein kinase C (PKC)α as a biomarker for the diagnosis of cancers

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Protein kinase C (PKC)α plays a key role in the differentiation, proliferation and apoptosis of cancer cells, and its activity is higher in cancer cells than in normal cells. In the present study, we investigated the existence of activated PKCα in plasma and its possibility for cancer diagnosis. Plasma samples were prepared from xenograft mouse models of cancer and from normal mice. Phosphorylation ratios for a PKCα-specific peptide substrate (Alphatomega) were analyzed by matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry and activated PKCα was identified by western blot analysis. Increased levels of activated PKCα were found in the plasma of cancer-bearing mice (U87, A549, A431, HuH-7 and B16 melanoma) compared with the levels found in control mice. Phosphorylation ratios for peptide substrate increased with an increase in tumor size. Moreover, the addition of Ro-31-7549, a highly specific inhibitor of PKCα, produced a concentration-dependent reduction of phosphorylation ratios, whereas the non-PKCα inhibitors, rottlerin and H-89, did not significantly effect phosphorylation ratios. In addition, the level of activated PKCα decreased after cancer resection but increased if the cancer recurred. From these results, we suggest that (i) activated PKCα in plasma can be a useful biomarker for the diagnosis of cancers and (ii) the level of activated PKCα can be monitored to assess the recurrence of cancer after surgical removal. To our knowledge, this is the first report demonstrating the existence of activated PKCα in plasma and its possibility for cancer diagnosis.

Journal Article.  3478 words.  Illustrated.

Subjects: Clinical Cytogenetics and Molecular Genetics

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