Computer Engineering Commons^™

Proteomic Identification Of Interleukin-2 Therapy Response In Metastatic Renal Cell Cancer, Jon Jones, Hasan H. Otu, Franck Grall, Dimitrios Spentzos, Handan Can, Manuel Aivado, Arie S. Belldegrun, Allan J. Pantuck, Towia A. Libermann

Department of Electrical and Computer Engineering: Faculty Publications

Introduction—To detect a predictive protein profile that distinguishes between IL-2 therapy responders and non-responders among metastatic RCC patients we used surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI TOF-MS).

Materials and Methods—Protein extracts of 56 metastatic clear cell RCC patients obtained from radical nephrectomy specimens and prior to IL-2 therapy were applied to protein chip arrays of different chromatographic properties and analyzed using SELDI TOF-MS. A class prediction algorithm was applied to identify a subset of protein peaks whose expression values were associated with IL-2 response status. Multivariate analysis was performed to assess the association between the proteomic profile …