Thursday, January 24, 2013

The Blue Print To Prevent Breast Cancer - Has A New Tool " Big Data"


Barrons Medical Journal Reporting From President Barack Obama Inauguration 2013 George Washington University Medical Center, Washington DC, United States.

The Blue Print To Prevent Breast Cancer - Has A New Tool " Big Data"

The blueprint to prevent breast cancer from invading your body is now the focus of several science organization in the United States. The new tool is called Big Data. At the JP Morgan Health Care conference Big Data dominated the sessions. Pharmaceuticals companies are taking notice and Houston Texas based Biotech Company Gennxeix Biotech Software has created the Blue Print. Let start with the understanding of Big Data.

Brought To You By: Zoya Tommy Contemporary Art Gallery: is pleased to announce the opening of Horizontal by Frank X Tolbert2 on January 26, 2013 at 6:00pm. The show will run through February 23, 2013

Modern science business intelligence methods allow analysts to drill down into complex gene databases and find the answers to predetermined questions, but the emergent field of data science is concerned with finding the questions that should
be asked of huge and often unstructured data in order to yield otherwise invisible results, such as what can stop breast cancer cells from reprogramming their metabolic pathways to meet their abnormal demands for proliferation and survival that causes oncogenes to create breast cancer Tumors. It has long been recognized that cancer cells need a higher rate of metabolism to support their accelerated proliferation and growth rate. The most known metabolic change is a phenomenon called “Warburg effect” first described by Otto Warburg in 1920s. Warburg reported that breast cancer cells take up and utilize much more glucose for glycolysis compared to normal cells, even in the normoxic condition Using Big Data Technology , data scientists at Gennxeix Biotech can run algorithms that carry out what is effectively blind analysis of a gene database to reveal the inherent patterns therein, rather than showing correlations between preselected variables. By being able to identifying the cocktail of genes that cause breast cancer we can create therapies or some would say Medicines to stop the Breast Cancer Disease from happening
Genomics Science allows big data today to ask the right questions of the gene data. The power Gennomics Biotech Software is its unique ability to automatically discover insights without asking questions. With this powerful Analytics Tools Scientist and Doctors can predict and pinpoint to when the breast cancer is going to enter the breast. There are increasing evidences to support that oncoproteins directly reprogram the metabolism of breast cancer cells, and make them addict to certain metabolic pathways. Therefore, the signaling pathways controlling the altered metabolism in breast cancer cells are attractive targets for cancer therapy. Like the Warburg effect, alteration of lipid metabolism is another nearly ubiquitous change in tumor cells. lipid metabolism in breast cancer cells. The increased de novo lipogenesis in breast cancer cells a major cause for all concerned in creating a breast cancer prevention model. Genomics has yielded unprecedented results in the breast cancer, Comparative big data gene-expression analyses on primary breast tumors and lymph node metastases have indicated that, metastases have very similar expression signatures compared with their parent tumors. Detailed analyses have also revealed that a number of genes are consistently differentially expressed between primary tumors and metastases and that metastases often show a greater variety of aberrations than the
primary tumor. At the chromosomal level, even greater differences have been described between primary breast tumors and their derived metastases. dose exist. In general, all of these studies showed that metastases harbor more and also new aberrations that could not be found in the corresponding primary tumors. These results imply that the clonal evolution of a tumor is more complex than would be predicted by linear models, highlighting the importance of investigating distant metastases as the end point of the metastatic cascade. Obesity is associated with increased breast cancer risk, especially among postmenopausal women. Alcohol shows an increased risk of breast cancer associated with alcohol consumption. The inherited genetic profile of an individual influences susceptibility to mutagens and growth factors, which initiate or promote the carcinogenic process. Known genetic syndromes in breast cancers. With Genomics and Big Data we are in the Breast cancer cure red zone :

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