G. V. Sherbet

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Competitive binding and monoclonal antibody staining techniques were used to demonstrate high-affinity (Kd = 1.9 nmol/l) receptors for epidermal growth factor (EGF) in 35 of 104 primary human breast tumours and in 10 of 14 secondary lymph-node deposits. There was a significant inverse relation between the presence of EGF receptors and the presence of(More)
Chromosomal abnormalities are commonly associated with cancer, and their importance in the pathogenesis of the disease has been well recognized. Also recognized in recent years is the possibility that, together with chromosomal abnormalities, DNA ploidy of breast cancer aspirate cells, measured by image cytometric techniques, may correlate with prognosis of(More)
Angiography and plaque imaging : a segmentation perspective / edited by Jasjit S. Suri and Swamy Laxminarayan. p. ; cm.-(Biomedical engineering series) Includes bibliographical references and index. This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A(More)
The high molecular weight form of the plasminogen activator urokinase (54 kD) binds to specific receptor sites on the cell membrane of breast carcinomas by its inactive "A" chain. The binding is of high affinity (range of dissociation constants: 5.6 X 10(-11) to 4 X 10(-10) mol l-1 and there were between 20 to 250 fmol of binding sites per milligram of(More)
Present evidence suggests that the cell surface has an important role in metastasis. To examine this idea further, the surface properties of single cells isolated from the primary growths of a liver-metastasizing (ML) and a non-metastasizing (NML) lymphosarcoma were compared for adhesion to cell monolayers, cytopherometry, isoelectric focusing, adhesion to(More)
Invasion of the reconstituted extracellular matrix composite, Matrigel, by eight human glioma-derived cell lines and human fetal brain cells was assessed in vitro using 8 microns polycarbonate filters in a modified Boyden migration chamber. With the exception of one low grade glioma derived cell line, all lines studied proved to be invasive while normal(More)
The presence of metastasis in the regional lymph nodes is the most important factor in predicting prognosis in breast cancer. Many biomarkers have been identified that appear to relate to the aggressive behaviour of cancer. However, the nonlinear relation of these markers to nodal status and also the existence of complex interaction between markers has(More)
The development and evolution of targeted therapy to any disease require the identification of targets amenable to treatment of patients. Here the pathogenetic signalling systems involved in multiple sclerosis are scrutinised to locate nodes of deregulation and dysfunction in order to devise strategies of drug development for targeted intervention.(More)
This paper aims to predict a breast cancer patient's prognosis and to determine the most important prognostic factors by means of logistic regression (LR) as a conventional statistical method, multilayer backpropagation neural network (MLBPNN) as a neural network method, fuzzy K-nearest neighbour algorithm (FK-NN) as a fuzzy logic method, a fuzzy(More)
This study was aimed at determining whether tumour DNA content measured by cell image analysis could provide additional prognostic information when compared to that provided by flow cytometry. Sections cut from paraffin blocks of tumours from 101 patients with node negative breast cancer were analysed by both methods and the results related to other(More)