Prediction of nodal spread of breast cancer by using artificial neural network-based analyses of S100A4, nm23 and steroid receptor expression. [electronic resource]
Producer: 20031202Description: 507-14 p. digitalISSN:- 0262-0898
- Adult
- Aged
- Aged, 80 and over
- Breast Neoplasms -- pathology
- Female
- Gene Expression Regulation, Neoplastic
- Genes, Tumor Suppressor
- Genetic Markers
- Humans
- Lymphatic Metastasis -- pathology
- Middle Aged
- Models, Theoretical
- Monomeric GTP-Binding Proteins -- genetics
- NM23 Nucleoside Diphosphate Kinases
- Nerve Net
- Nucleoside-Diphosphate Kinase
- Predictive Value of Tests
- Promoter Regions, Genetic
- Receptors, Estrogen -- genetics
- Receptors, Progesterone -- genetics
- Receptors, Steroid -- genetics
- S100 Calcium-Binding Protein A4
- S100 Proteins -- genetics
- Transcription Factors -- genetics
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Publication Type: Journal Article
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