The impact of genetic heterogeneity on biomarker development in kidney cancer assessed by multiregional sampling. (14th August 2014)

• Record Type: Journal Article
• Authors: Sankin, Alexander; Hakimi, Abraham A.; Mikkilineni, Nina; Ostrovnaya, Irina; Silk, Mikhail T.; Liang, Yupu; Mano, Roy; Chevinsky, Michael; Motzer, Robert J.; Solomon, Stephen B.; Cheng, Emily H.; Durack, Jeremy C.; Coleman, Jonathan A.; Russo, Paul; Hsieh, James J.
• Is Part Of: Cancer medicine. Volume 3:Number 6(2014:Dec.)
• Page Start: 1485
• Page End: 1492
• Publication Date: 2014-08-14
• Subjects: 616.994005
• DOI: 10.1002/cam4.293
• Languages: English
• ISSNs: 2045-7634

Abstract

<abstract abstract-type="graphical" xml:lang="en" id="cam4293-abs-0002"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Single region genomics of primary kidney cancer leads to underestimation of critical tumor suppressor mutations. On average, analysis of a combination of four distinct tumor regions will yield ~90% of accuracy in detecting the detrimental 3p TSG mutations of clear cell renal cell carcinoma. <boxed-text content-type="graphic" id="cam4293-blkfxd-0001" position="anchor" orientation="portrait"><graphic position="anchor" mimetype="image" xlink:href="ark:/27927/pgh2zm06n63" orientation="portrait" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /></boxed-text></p> </abstract>