Literature DB >> 19885590

Interpretation of Pin-1 and VEGF-C expression in breast infiltrating duct carcinoma.

Byung-Chul Kim1, Song-Iy Han, Sung-Chul Lim.   

Abstract

Pin-1 has been shown to regulate several phases of the cell cycle and is strikingly overexpressed in many human cancers. Vascular endothelial growth factor (VEGF)-C is a potent lymphangiogenic factor produced by tumor and stromal cells. However, little is known about the roles of Pin-1 and VEGF-C in breast carcinoma. p53 protein and cyclin D1 overexpressions have been shown to play a role as prognostic factors in many human cancers. To better understand the roles of Pin-1 and VEGF-C in breast carcinoma, we evaluated the immunohistochemical expression of Pin-1 and VEGF-C in relationship with p53 protein or cyclin D1 overexpression and clinicopathological parameters in 128 mammary infiltrating duct carcinomas. There was a positive expression in 100% of Pin-1, 88% of VEGF-C, 35% of p53 protein, and 66% of cyclin D1 in the breast carcinoma. Correlation of the positive expression of Pin-1 with tumor grade (p<0.01) and lymph node metastasis or cyclin D1 overexpression (p<0.05, respectively) was statistically significant. Significant correlation was observed between VEGF-C and tumor grade, lymph node metastasis or clinical stage (p<0.01, respectively). These results indicate that elevated Pin-1 or VEGF-C expression is more common in infiltrating duct carcinomas with poor prognostic characteristics and is partly associated with an unfavorable outcome. Given the role of cyclin D1 overexpression in oncogenesis of breast, these results suggest that overexpression of Pin-1 and VEGF-C may promote tumor progression and metastasis.

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Year:  2009        PMID: 19885590     DOI: 10.3892/or_00000578

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  1 in total

Review 1.  Lymphatic microvessel density and vascular endothelial growth factor-C and -D as prognostic factors in breast cancer: a systematic review and meta-analysis of the literature.

Authors:  Jun Wang; Yan Guo; Baocheng Wang; Jingwang Bi; Kainan Li; Xiuju Liang; Huili Chu; Huihui Jiang
Journal:  Mol Biol Rep       Date:  2012-10-11       Impact factor: 2.316

  1 in total

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