Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P04155 (pS2)
 1,234 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A large number of cell biological parameters are currently available to predict the prognosis of patients with breast cancer, but it is still difficulty accurately to predict the response to treatment. A valuable prognostic factor can be a poor predictive factor for response, and vice versa. High tumor levels of ER, PgR, AR and pS2 predict a relatively good response to endocrine therapy, while EGF-R positively, HER2/neu positivity, aneuploidy, high proliferation indices and possibly high uPA levels indicate a high chance of poor response to endocrine therapy in metastatic breast cancer. With respect to chemotherapy, a high proliferation rate and HER2/neu amplification predict a good response to therapy in metastatic disease, while MDR gene expression and possibly c-myc amplification are related to a worse response. In conclusion, the newer cell biological parameters can be used to select high and low-risk patients, type of systemic treatment, and as targets for new treatment modalities.
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PMID:Cell biological factors associated with the response of breast cancer to systemic treatment. 848 34

pS2 was measured by radioimmunometric assay in tumour extracts from 197 breast cancer patients. Values ranged from 0 to 50 ng/mg protein (mean 9.6 and median 3 ng/mg). We found no correlation with age, menopausal status, nodal metastases, disease stage or tumour histology. There was, however, a linear relationship with both ER (p < 0.0001) (particularly nuclear ER) and PR (p < 0.0001) expression determined by enzyme immunoassay (ELISA), as well as a good correlation when high and low expressors were stratified on the basis of combined ER/PR expression using consensus cut-off points. Only 15% of ER - ve/PR - ve patients were classified as pS2 + ve compared with 83% of those who were ER + ve/PR + ve. pS2 was also directly correlated with high expression of tPA and inversely with uPA. Comparison with previous studies showed that the current ELISA method produced consistent results, in contrast to other methods, particularly those based on immunohistochemical detection. The close relationship between pS2 and both steroid receptors suggests that pS2 may be important in terms of defining hormone-responsive patients who are likely to benefit from endocrine therapy.
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PMID:Immunoradiometric measurement of pS2 in breast cancer--correlation with steroid receptors and plasminogen activators. 1052 72

Cytosol of primary breast cancers from 217 women of predominantly Arab ethnicity were assayed for uPA, tPA, PAI-1 and a subset for ER, PR and pS2. Serum levels of CEA and CA153 were determined during follow-up. Only tPA correlated to nodal status and tumour grade, and PAI-1 to clinical stage. PAI-1 was related to uPA and both were inversely correlated with PR and pS2 (PAI-1 also to ER). Conversely tPA was directly correlated with ER, PR and pS2. Women with high tumour uPA and PAI-1, but not tPA, had shorter overall, and relapse-free, survival. Only nodal status and clinical stage were independent predictors in multivariate analysis. However, uPA and PAI-1 were more prognostically informative than ER or PR and their usefulness may extend to delineation of patients likely to respond to adjuvant therapy.
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PMID:Clinical implications of urokinase and tissue type plasminogen activators and their inhibitor (PAI-1) in breast cancer tissue. 1195 44

To explore the hypothesis that aging not only increases breast cancer incidence but also alters breast cancer biology, we correlated patient age and diagnosis with tumor histology, stage and biomarkers independently determined from two different tumor archives: an American collection of approximately 800 paraffin-embedded and immunohistochemically analyzed primary breast cancers, and an European collection of approximately 3000 cryobanked primary breast cancers analyzed by ligand-binding and enzyme immunoassay (EIA). The prognostic biomarkers chosen for comparison represented surrogate measures of tumor: (i). proliferation, growth and genetic instability (mitotic and apoptotic indices, Ki-67/MIB-1-positivity, nuclear grade, p53-positivity), (ii). endocrine-dependence (estrogen receptor (ER), progesterone receptors (PR), pS2, Bcl2), (iii). growth factor receptor-dependence (ErbB2, EGFR/ErbB1), and (iv). angiogenic, invasive and proteolytic potential (uPA, PAI-1, Cathepsin D, VEGF). No biomarker reflecting tumor angiogenic, invasive or proteolytic potential showed a significant correlation with patient age at diagnosis. In contrast, significant inverse correlations (|r|>0.1; P< or =0.05) were observed for all measures of tumor growth and genetic instability as well as growth factor receptor overexpression (ErbB2 or EGFR positivity). Only one marker of endocrine-dependence, ER expression, showed a significant positive correlation with patient age at diagnosis. In summary, these findings support the hypothesis that breast cancer biology is significantly affected by patient age. In particular, breast tumors arising in older patients have slower growth rates, are more likely to be ER-positive, and are less likely to be p53-positive, EGFR-positive or ErbB2-positive.
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PMID:Age-associated biomarker profiles of human breast cancer. 1220 28