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Assessment of c-erbB2 and vascular endothelial growth factor mRNA expression in fine-needle aspirates from early breast carcinomas: pre-operative determination of malignant potential

Authors :
Masayuki Kojima
Akihiko Uchiyama
Syoji Kuroki
Akashi Ikubo
Yasuhiro Tsukahara
Keisei Anan
Mitsuo Katano
Takashi Morisaki
Masao Tanaka
Motomichi Torisu
Source :
European Journal of Surgical Oncology (EJSO). 24:28-33
Publication Year :
1998
Publisher :
Elsevier BV, 1998.

Abstract

Aims Although axillary lymph nodes status, tumour size, hormonal-receptor status and histological grade at diagnosis are frequently used to orient the treatment of breast cancer patients, some tumours recur in patients with early stage disease. Pre-operative assessment of individual tumour characteristics, based on oncogenes and growth factors related to tumour growth, invasion or metastasis, may guide the treatment for patients with breast carcinomas. Methods We examine here the prognostic significance of cyclin D1, urokinase type plasminogen activator, vascular endothelial growth factor (VEGF), platelet-derived growth factor, and c-erbB2 expression in pre-operatively obtained fine-needle aspirates from breast carcinomas less than or equal to 3cm in size. Correlation between mRNA expression of these factors and clinicopathological characteristics was analysed. Results The level of c-erbB2 mRNA expression was significantly higher in tumours with lymph node metastases than in those without lymph node metastases. VEGF mRNA expression positively correlated with the degree of angiogenesis as quantitated by immunohistological staining with a CD31 monoclonal antibody. Conclusions Analysis of c-erbB2 and VEGF mRNA expression in fine-needle aspirates may be useful in assessing the malignant potential of individual breast carcinomas, leading to a pre-operative discrimination of a high-risk group.

Details

ISSN :
07487983
Volume :
24
Database :
OpenAIRE
Journal :
European Journal of Surgical Oncology (EJSO)
Accession number :
edsair.doi.dedup.....9af97ef0f9f39710bb96c8df8e509bca