Relationship of epidermal growth factor receptor (EGFR), proliferating cell nuclear antigen (PCNA) and vimentin expression and various prognostic factors in breast cancer patients
Autor: | Ch. Kandaraki, Helen Gogas, C. Markopoulos, S. Lambropoulou, H. Koutselini, J. Gogas |
---|---|
Rok vydání: | 1995 |
Předmět: |
Adult
Pathology medicine.medical_specialty Histology Immunocytochemistry Breast Neoplasms Vimentin Pathology and Forensic Medicine Immunoenzyme Techniques Breast cancer Proliferating Cell Nuclear Antigen Cytology medicine Humans Epidermal growth factor receptor Lymph node Aged Aged 80 and over biology business.industry Carcinoma Ductal Breast Cancer General Medicine Middle Aged Prognosis medicine.disease Proliferating cell nuclear antigen ErbB Receptors Carcinoma Lobular medicine.anatomical_structure Receptors Estrogen Carcinoma Medullary biology.protein Cancer research Female Receptors Progesterone business |
Zdroj: | Scopus-Elsevier |
ISSN: | 1365-2303 0956-5507 |
DOI: | 10.1111/j.1365-2303.1995.tb00003.x |
Popis: | Cytologic specimens (FNA) from 42 primary invasive ductal breast carcinomas and 22 matched specimens of cancer tissue were tested for EGFR status, PCNA index and vimentin expression by immunocytochemical staining, using an Extravidin-Biotin method, and their relationship with various prognostic factors was investigated. EGFR positivity, high PC10 score and vimentin positivity were significantly correlated with high histologic grade. The coordinate expression of EGFR, PCNA and vimentin was significantly associated with ER-negative breast carcinomas. A positive trend was observed between high proliferating tumours and EGFR expression. EGFR status and PCNA index were not correlated with axillary lymph node involvement, tumour size, age and menopausal status. Vimentin was preferentially expressed in tumours, with lymph node metastases. Co-expression of EGFR, PCNA and vimentin was determined in most cases. These data suggest that EGFR status, PCNA index and vimentin expression may be important for the prediction of biologically aggressive tumours. |
Databáze: | OpenAIRE |
Externí odkaz: |