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Nicholas Scholz

Predicting the Spread of Brain Tumors Using Modern Day Biotechnology - 0 views

genomemedicine.com/29

Biotechnology _ Curing Tumors

shared by Nicholas Scholz on 13 Jul 13 - No Cached
  • ISOpure uses a set of tumor expression profiles and a panel of healthy tissue expression profiles to generate a purified cancer profile for each tumor sample, and an estimate of the proportion of RNA originating from cancerous cells
  • samples pre-selected to have a high cancerous cell content using pathological estimates [20-23], thereby introducing variability into expression profiles that cannot be removed by current computational pre-processing methods
  • he challenge of computational purification is to decompose each tumor profile tn (a vector of length G) into its component cancer profile (the vector cn), and normal profile
  • ...2 more annotations...
  • Computational purification of tumor expression profiles by ISOpure improves the accuracy of subsequent prognostic models for lung and prostate cancer by reducing inter-sample variation in the amount and type of gene expression signal in the tumor profile that is due to normal tissue contamination.
  • Our analysis demonstrated approximately 10% improvement in prediction of EPE when using ISOpure cancer profiles compared with the unpurified profiles.
  • Nicholas Scholz on 13 Jul 13
     
    Using the ISOpure computational purification tool, scientists and medical professionals can develop a prognosis and treatment plan for a certain cancer patients at a much quicker rate. The tool used in this process can help identify the cancerous tissue located in the organs and provide medical professionals further notice of the proportion of RNA originating from cancer cells allowing them to develop treatment plans ahead of time. ISOpure uses an algorithm which determines the proportion of RNA in the organ(s). The real challenges of developing these treatments is of course extracting a portion of tissue with both a normal profile and a cancer profile to predict the spread of the disease. After this portion of tissue has been extracted the ISOpure modeling can process the data using simple MATLAB software. The success of this computational tool is noted to improve the prediction of extra-prostatic-extension (EPE) by 10% in cancer profiles compared to the unpurified models. 
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