87,604 research outputs found
Morphologic assessment of reactivity to monoclonal antibodies generated against breast cancer cells in mammary tissues removed for clinical dysplasia or cancer.
Monoclonal antibodies B 6.2, B 72.3 and B 1.1, reactive against tumor-associated antigens of human breast cancer, have been tested on histologic sections of paraffin blocks from 49 cases of breast cancer and from 13 cases of mammary dysplasia. The results have shown that: (a) the three monoclonal antibodies recognize different antigenic determinants of the cancer cells; (b) monoclonal antibodies B 6.2 and B 1.1 recognize antigens which are frequently expressed in cancer cells; (c) the antigen recognized by monoclonal antibody B 72.3, at the concentrations used, is less frequently expressed in tumors, while it seems to be selective for the apical cell border and luminal secretions of apocrine metaplastic lobules or cysts occurring in mammary dysplasia; (d) intracytoplasmic expression of the antigens is observed only in cancer cells, with rare exceptions; (e) tumor cell populations are heterogeneous in respect to the expression of the antigens detected by the monoclonal antibodies tested; (f) the antigens detected are unrelated to the tumor histotype; (g) the frequency of axillary lymph nodal metastases is not influenced by the presence or intensity of antigenic expression in the primary tumors; but (h) in metastatic tumor cell populations the antigenic expression is higher than in primary tumors. This fact suggests some relationship between tumor metastatization and the expression of antigens recognized by the monoclonal antibodies tested
Morphologic assessment of reactivity to monoclonal antibodies generated against breast cancer cells in mammary tissues removed for clinical dysplasia or cancer
Monoclonal antibodies B 6.2, B 72.3 and B 1.1, reactive against tumor-associated antigens of human breast cancer, have been tested on histologic sections of paraffin blocks from 49 cases of breast cancer and from 13 cases of mammary dysplasia. The results have shown that: (a) the three monoclonal antibodies recognize different antigenic determinants of the cancer cells; (b) monoclonal antibodies B 6.2 and B 1.1 recognize antigens which are frequently expressed in cancer cells; (c) the antigen recognized by monoclonal antibody B 72.3, at the concentrations used, is less frequently expressed in tumors, while it seems to be selective for the apical cell border and luminal secretions of apocrine metaplastic lobules or cysts occurring in mammary dysplasia; (d) intracytoplasmic expression of the antigens is observed only in cancer cells, with rare exceptions; (e) tumor cell populations are heterogeneous in respect to the expression of the antigens detected by the monoclonal antibodies tested; (f) the antigens detected are unrelated to the tumor histotype; (g) the frequency of axillary lymph nodal metastases is not influenced by the presence or intensity of antigenic expression in the primary tumors; but (h) in metastatic tumor cell populations the antigenic expression is higher than in primary tumors. This fact suggests some relationship between tumor metastatization and the expression of antigens recognized by the monoclonal antibodies teste
Reciprocity of weighted networks
In directed networks, reciprocal links have dramatic effects on dynamical processes, network growth, and higher-order structures such as motifs and communities. While the reciprocity of binary networks has been extensively studied, that of weighted networks is still poorly understood, implying an ever-increasing gap between the availability of weighted network data and our understanding of their dyadic properties. Here we introduce a general approach to the reciprocity of weighted networks, and define quantities and null models that consistently capture empirical reciprocity patterns at different structural levels. We show that, counter-intuitively, previous reciprocity measures based on the similarity of mutual weights are uninformative. By contrast, our measures allow to consistently classify different weighted networks according to their reciprocity, track the evolution of a network's reciprocity over time, identify patterns at the level of dyads and vertices, and distinguish the effects of flux (im)balances or other (a)symmetries from a true tendency towards (anti-)reciprocation
A Novel Approach for Automatic Acoustic Novelty Detection Using a Denoising Autoencoder with Bidirectional LSTM Neural Networks
Acoustic novelty detection aims at identifying abnormal/novel acoustic signals which differ from the reference/normal data that the system was trained with. In this paper we present a novel unsupervised approach based on a denoising autoencoder. In our approach auditory spectral features are processed by a denoising autoencoder with bidirectional Long Short-Term Memory recurrent neural networks. We use the reconstruction error between the input and the output of the autoencoder as activation signal to detect novel events. The autoencoder is trained on a public database which contains recordings of typical in-home situations such as talking, watching television, playing and eating. The evaluation was performed on more than 260 different abnormal events. We compare results with state-of-theart methods and we conclude that our novel approach significantly outperforms existing methods by achieving up to 93.4% F-Measure
Mammary cancer antigen recognized by monoclonal antibody B72.3 in apocrine metaplasia of the human breast
LOBULOALVEOLAR DIFFERENTIATION AND TUMORIGENESIS - 2 SEPARATE ACTIVITIES OF MOUSE MAMMARY-TUMOR VIRUS
Mammary cancer antigen recognized by monoclonal antibody B72.3 in apocrine metaplasia of the human breast
Monoclonal antibody B72.3 recognizing a pan-associated carcinoma antigen expressed also in metastatic human breast cancer cells has been tested using the avidin-biotin peroxidase method applied to paraffin-embedded sections in 50 samples of mammary tissue showing apocrine metaplasia and in 58 cases of other mild or severe focal epithelial proliferative changes of the breast, including mostly in situ lobular or ductal carcinomas collateral to clinical cancer removed after radical mastectomy. The antigen detected by this antibody was present in the apocrine cells of 48 cases (96%). In the majority of these cases the reactivity was localized on the luminal border of the apocrine cells and in the luminal secretion. But ten cases showed positive staining also in the cell cytoplasm either focal or diffuse. The normal structures and mild focal hyperplastic changes collateral to clinical cancer were, in the majority of the cases (43 of 55), negative, and, when positive, displayed positivity only at the luminal border. By contrast, the independent foci of in situ carcinoma (17 of 31 examined), the intraduct papillomas (seven cases of 14), and the intraductal component of breast carcinoma (seven cases of 17) were positive, displaying a cytoplasmic focal or diffuse staining. In conclusion, mammary apocrine metaplasia, a metaplastic change of the normal epithelium that has been associated with increased breast cancer risk, shares antigens in common with breast cancer cells and/or with cells showing severe atypia. The possible clinical significance of the site of antigenic expression (cytoplasm or luminal border) needs further investigation
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