<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="http://medicalxpress.com/tmpl/default/css/default/feedRSS.xsl"?>
<rss version="2.0" 
	xmlns:media="http://search.yahoo.com/mrss/">
<channel>
<title>Medical Xpress: PHYSorg news tagged with: genetic profiles</title>
<link>http://medicalxpress.com/</link>
<language>en-us</language> 
<description>Medical Xpress internet news portal provides the latest news on Health and Medicine.</description>

 <item>
     <title>K9 osteosarcoma samples identify drivers of metastasis in pediatric bone cancer</title>
   	 <description>Human osteosarcoma samples are hard to come by, making the disease difficult to study. However, K9 bone cancer is genetically indistinguishable from the human form of the disease, and over 10,000 canine patients develop the disease every year. Research from the University of Colorado Cancer Center and the Colorado State University Flint Animal Cancer Center presented at the AACR Annual Meeting 2013 used easily available K9 osteosarcoma samples to discover a novel protein that governs metastasis and chemoresistance in pediatric osteosarcoma.</description>
     <link>http://medicalxpress.com/news/2013-04-k9-osteosarcoma-samples-drivers-metastasis.html</link>
	 <category>Cancer</category>
	 <pubDate>Tue, 09 Apr 2013 09:42:26 EST</pubDate>
	 <guid isPermaLink="false">news284719337</guid>
	 
</item>
<item>
     <title>Risk of childhood obesity can be predicted at birth</title>
   	 <description>A simple formula can predict at birth a baby's likelihood of becoming obese in childhood, according to a study published today in the open access journal PLOS ONE.</description>
     <link>http://medicalxpress.com/news/2012-11-childhood-obesity-birth.html</link>
	 <category>Overweight and Obesity</category>
	 <pubDate>Wed, 28 Nov 2012 17:00:15 EST</pubDate>
	 <guid isPermaLink="false">news273344079</guid>
	 
</item>
<item>
     <title>Researchers excel in predicting cancer drug sensitivity</title>
   	 <description>Researchers from Helsinki Institute for Information Technology HIIT and Institute for Molecular Medicine Finland FIMM have developed a triumphant solution for predicting responses of breast cancer cells to a set of cancer drugs. The prediction is based on the genomic profiles of the cancer cells. Harnessing genomic profiles of cells in choosing the best treatment is considered the holy grail of personalised medicine.</description>
     <link>http://medicalxpress.com/news/2012-11-excel-cancer-drug-sensitivity.html</link>
	 <category>Cancer</category>
	 <pubDate>Mon, 19 Nov 2012 10:45:45 EST</pubDate>
	 <guid isPermaLink="false">news272544339</guid>
	 
</item>
<item>
     <title>Potential for incorrect relationship identification in new forensic familial searching techniques</title>
   	 <description>New research suggests that unrelated individuals may be mistakenly identified as genetic family members due to inaccurate genetic assumptions. This is particularly relevant when considering familial searching: a new technique which extends forensic identification to family members of individuals with profiles in offender/arrestee DNA databases. In a study published this week in PLoS Genetics, researchers at the Universities of Washington and California at Berkeley show that false familial identification may be more likely for individuals with particular genetic backgrounds; for example, in the USA, those of Asian or Native American descent.</description>
     <link>http://medicalxpress.com/news/2012-02-potential-incorrect-relationship-identification-forensic.html</link>
	 <category>Genetics</category>
	 <pubDate>Thu, 09 Feb 2012 17:00:21 EST</pubDate>
	 <guid isPermaLink="false">news248009042</guid>
	 
</item>
<item>
     <title>Novel analysis method organizes genomic cancer data</title>
   	 <description>The technology that allows scientists to profile the entire genome of individual tumors offers new hope for discovering ways to select the best treatment for each patient's particular type of cancer. However, these profiles produce huge amounts of data, and the volume alone creates unique analytical problems.</description>
     <link>http://medicalxpress.com/news/2011-06-analysis-method-genomic-cancer.html</link>
	 <category>Genetics</category>
	 <pubDate>Thu, 30 Jun 2011 13:31:37 EST</pubDate>
	 <guid isPermaLink="false">news228659484</guid>
	 
</item>


</channel>
</rss>
