Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: EC:5.99.1.2 (topoisomerase)
 9,166 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Smad2 participates in the TGF-beta signaling pathway, where it cooperates with transcription factors to regulate expression of defined genes. The purpose of this study was to investigate the expression pattern of phosphorylated Smad2 (pSmad2) in association with clinicopathological parameters and biological markers of proliferation and invasion. Immunohistochemistry was applied on paraffin-embedded sections from 164 patients with invasive breast carcinomas to detect the expression of the proteins pSmad2, ER, PR, Ki67, topoisomerase IIa, ERK2, catenin-p120, MMP-14 and TIMP-2. pSmad2 protein was detected in the nuclei of the malignant cells (68.1%) and in the tumor fibroblasts (55.2%). Nuclear pSmad2 was inversely correlated with histological grade and LN (p=0.047 and p=0.05) as well as with Ki67 and topoIIa (p=0.003 and p=0.021, respectively). There was also an inverse relation between nuclear pSmad2 and normal immunoexpression of the adhesion molecule catenin-p120 (p=0.028). Both nuclear and stromal pSmad2 were positively correlated with ERK2 of tumor fibroblasts (p=0.008 and p=0.0001, respectively), while stromal pSmad2 was furthermore related to stromal MMP-14 and tumor TIMP-2 (p=0.006 and p=0.022, respectively). Patients with high expression of cancerous pSmad2 tended to have a better prognosis, although statistic significance was never reached. pSmad2 was found to play a dual role, according to its distribution. Nuclear localization was thus found to be related to a less aggressive tumor phenotype, whereas stromal location was associated with an invasive phenotype.
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PMID:Effect of the different phosphorylated Smad2 protein localizations on the invasive breast carcinoma phenotype. 1729 76

Comprehensive multivariate models were used to disclose whether any of our previously analyzed 13 markers would be independent predictors of intermediate end point markers in cervical carcinogenesis. The expression of the following biomarkers, E-cadherin, extracellular signal-regulated kinase 1, 67-kd laminin receptor (LR67), matrix metalloproteinase 2, tissue inhibitor of metalloproteinase 2, nuclear factor-kappaB, nm23-H1, p16, proliferating cell nuclear antigen, survivin, human telomerase reverse transcriptase, topoisomerase 2alpha, and vascular endothelial growth factor (VEGF) C in 150 cervical cancer (CC) and 152 cervical intraepithelial neoplasia (CIN) lesions were determined immunohistochemically. Multivariate models were constructed to test predictive power of the markers for 3 outcomes: (1) high-grade CIN, (2) high-risk human papillomavirus (HR-HPV), and (3) CC survival. Performance indicators were calculated and compared by the areas under receiver operating characteristic (ROC) curve. Three marker panels were identified consisting of 5 independent predictors of CIN2 (E-cadherin, extracellular signal-regulated kinase 1, LR67, topoisomerase 2alpha, and VEGF-C), 3 predictors of HR-HPV (survivin, p16, and human telomerase reverse transcriptase), and 2 predictors of CC survival (nm23-H1 and tissue inhibitor of metalloproteinase 2). In predicting CIN2, the best balance between sensitivity (SE) and specificity (SP) was obtained by combining the 2 most powerful predictors in panel 1 (VEGF-C and LR67), giving the area under ROC curve, 0.897 (95% confidence interval [CI], 0.847-0.947); odds ratio, 86.27 (95% CI, 19.71-377.47); SE, 86.0%; SP, 93.3%; positive predictive value (PPV), 99.1%; and negative predictive value (NPV), 43.1%. In a hypothetical screening setting (10,000 women; CIN2 prevalence, 1%), this marker combination should theoretically detect CIN2 with 86.0% SE, 100% SP, 99.1% PPV, and 99.6% NPV, area under ROC curve of 0.930 (95% CI, 0.909-0.951), and odds ratio, 29998.0 (95% CI, 7,879.0-37,338.0). Combining 2 markers (LR67 and VEGF-C) enables accurate detection of high-grade CIN in a clinical setting. However, testing the performance of this marker combination in a screening setting necessitates their analysis in cytological samples.
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PMID:Predicting high-risk human papillomavirus infection, progression of cervical intraepithelial neoplasia, and prognosis of cervical cancer with a panel of 13 biomarkers tested in multivariate modeling. 1831 13

Neural stem cells (NSCs) have been investigated in preclinical models as delivery vehicles for therapeutic genes for treatment of tumors in the central nervous system and other organs. Melanoma at early stages is effectively treated with surgery and radiotherapy, however metastatic disease is almost universally fatal, thus novel therapeutic approaches are needed. We studied the use of HB1.F3.CD therapeutic NSCs, a well-characterized clonal cell line derived from human fetal telencephalon, for their potential of secreting prodrug-activating enzyme. HB1.F3.CD cells were transduced by adenovirus encoding rabbit carboxylesterase (rCE), which converts CPT-11 into SN-38, a potent topoisomerase 1 inhibitor. In vitro cell migration assays revealed robust migration of NSCs to conditioned media from melanoma cells. Cytokine profiles showed that IL-6, IL-8, MCP-1 and TIMP-2, known chemoattractants for stem cells, were highly expressed by melanoma cells. Exposure of melanoma cells to conditioned media from the HB1.F3.CD.rCE cells in the presence of CPT-11 increased the tumor cell-killing effect by approximately 100-fold when compared to CPT-11 alone. Our data demonstrate the rational for NSC-based enzyme/prodrug therapeutic approach to target metastatic melanoma. Future experiments will evaluate the therapeutic efficacy of NSC-mediated melanoma therapy in animal models, which will provide the basis for targeted therapy in patients with advanced melanoma.
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PMID:Therapeutic targeting of melanoma cells using neural stem cells expressing carboxylesterase, a CPT-11 activating enzyme. 1995 Dec 51