Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0476089 (endometrial cancer)
 11,379 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Cancer is known to be a genetic disease that is both polygenic and heterogeneous, in most cases involving changes in several genes in a stepwise fashion. The spectrum of individual genes involved in the initiation and progression of cancer is greatly influenced by genetic factors unique to each patient. A study of complex diseases such as cancer is complicated by the genetic heterogeneous background and environmental factors in the human population. Endometrial cancer (EC) is ranked fourth among invasive tumors in women. In Sweden, approximately 1300 women (27/100,000 women) are diagnosed annually. To be able to study the genetic alterations in cancer, the use of an animal model is very convenient. Females of the BDII strain are genetically predisposed to EC and 90% of female BDII rats develop EC during their lifetime. Thus, BDII rats have been used to model human EC with respect to the genetics of susceptibility and of tumor development. A set of rat EC tumors was analyzed using conventional cytogenetics and comparative genome hybridization (CGH). Chromosomal aberrations, i.e., gains, were found on rat chromosome 4 (RNO4). Using FISH analysis, we concluded that the Met oncogene and Cdk6 (cyclin-dependent kinase 6) were amplified in this set of EC tumors. The data from this investigation were used to analyze a set of human endometrial tumors for amplification of Cdk6 and Met. Our preliminary data are indicative for a good correlation between our findings in the BDII rat model for EAC and the situation in human EC. These data provide strong support for the use of animal model systems for better understanding and scrutinizing of human complex disease of cancer.
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PMID:Amplification studies of MET and Cdk6 in a rat endometrial tumor model and their correlation to human type I endometrial carcinoma tumors. 1849 76

The emerging field of RNA nanotechnology has been used to design well-programmed, self-assembled nanostructures for applications in chemistry, biology, and medicine. At the forefront of its utility in cancer is the unrestricted ability to self-assemble multiple siRNAs within a single nanostructure formulation for the RNAi screening of a wide range of oncogenes while potentiating the gene therapy of malignant tumors. In our RNAi nanotechnology approach, V- and Y-shape RNA templates were designed and constructed for the self-assembly of discrete, higher-ordered siRNA nanostructures targeting the oncogenic glucose regulated chaperones. The GRP78-targeting siRNAs self-assembled into genetically encoded spheres, triangles, squares, pentagons and hexagons of discrete sizes and shapes according to TEM imaging. Furthermore, gel electrophoresis, thermal denaturation, and CD spectroscopy validated the prerequisite siRNA hybrids for their RNAi application. In a 24 sample siRNA screen conducted within the AN3CA endometrial cancer cells known to overexpress oncogenic GRP78 activity, the self-assembled siRNAs targeting multiple sites of GRP78 expression demonstrated more potent and long-lasting anticancer activity relative to their linear controls. Extending the scope of our RNAi screening approach, the self-assembled siRNA hybrids (5 nM) targeting of GRP-75, 78, and 94 resulted in significant (50-95%) knockdown of the glucose regulated chaperones, which led to synergistic effects in tumor cell cycle arrest (50-80%) and death (50-60%) within endometrial (AN3CA), cervical (HeLa), and breast (MDA-MB-231) cancer cell lines. Interestingly, a nontumorigenic lung (MRC5) cell line displaying normal glucose regulated chaperone levels was found to tolerate siRNA treatment and demonstrated less toxicity (5-20%) relative to the cancer cells that were found to be addicted to glucose regulated chaperones. These remarkable self-assembled siRNA nanostructures may thus encompass a new class of potent siRNAs that may be useful in screening important oncogene targets while improving siRNA therapeutic efficacy and specificity in cancer.
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PMID:RNAi Screening of the Glucose-Regulated Chaperones in Cancer with Self-Assembled siRNA Nanostructures. 2766 96