Differential gene expression in renal-cell cancer

2002 ◽  
Vol 140 (1) ◽  
pp. 52-64 ◽  
Author(s):  
Keith M. Skubitz ◽  
Amy P.N. Skubitz
2006 ◽  
Vol 147 (5) ◽  
pp. 250-267 ◽  
Author(s):  
Keith M. Skubitz ◽  
Wolfgang Zimmerman ◽  
Robert Kammerer ◽  
Stefan Pambuccian ◽  
Amy P.N. Skubitz

Author(s):  
Jennifer Ko ◽  
Patricia A Rayman ◽  
Yu Yang ◽  
Banu Gopalan ◽  
James Finke

2012 ◽  
Vol 187 (4S) ◽  
Author(s):  
Scott Haake ◽  
A. Rose Brannon ◽  
Raj Kurpad ◽  
Ian Udell ◽  
Angela Smith ◽  
...  

2010 ◽  
Vol 183 (4S) ◽  
Author(s):  
Sandra Waalkes ◽  
Hossein Tezval ◽  
Farenaz Atschekzei ◽  
Inga Peters ◽  
Mario W. Kramer ◽  
...  

APOPTOSIS ◽  
2007 ◽  
Vol 12 (9) ◽  
pp. 1645-1657 ◽  
Author(s):  
Sebastian Heikaus ◽  
Ercan Casliskan ◽  
Csaba Mahotka ◽  
Helmut Erich Gabbert ◽  
Uwe Ramp

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 4606-4606
Author(s):  
G. Hennig ◽  
H. Paus ◽  
D. Atkins ◽  
S. Störkel

4606 Background: It would be a substantial progress if gene expression of tumor markers could be accurately analyzed on RNA isolated from formalin fixed paraffin-embedded (FFPE) tumor tissue which is routinely collected. To prove equivalence between fresh frozen and archived FFPE tissue RNA profiles, we quantified 12 different genes with kinetic RT-PCR in renal tumor and paired adjacent normal tissue archived for 8–14 years. Methods: We had access to a set of 32 clear cell renal cell cancers and its adjacent normal tissue (HELIOS Clinic, Wuppertal). Each sample existed as a FFPE tissue block and as paired fresh frozen tissue both stored over 8–14 years at RT or -80oC, respectively. RNA from FFPE tissue was isolated with a Bayer HealthCare internal silica bead-based isolation method. Each sample was analyzed with kinetic one-step RT-PCR for the gene expression of 3 housekeepers (RPL37A, GAPDH, CD63) and 9 candidate genes (EGFR, Her2/neu, Her3, Her4, EGF, TGFα, NRG1, HIF1α, VEGFα). Results: The comparative FFPE/fresh frozen expression data showed a good correlation over all data points (r = 0.87 for Ct values) and the tumor specific up- and down regulation of EGFR family genes and its ligands could be detected in both tissue types equally. We could clearly demonstrate the tumor specific up-regulation of EGFR (2-fold), TGFα (2-fold), VEGFα (4-fold) and down-regulation of EGF (60-fold), Her2/neu (4-fold), Her3 (2-fold) and Her4 (30-fold) in renal cell cancer for both tissue entities (fixed and fresh frozen). In addition a 3-dimensional Principal Component Analysis completely separated the renal tumor population from paired normal tissue in both tissue entities based on the differential gene expression. Conclusions: Here we demonstrate that a small set of genes from the EGFR family and their ligands is specifically up-/down-regulated in renal cell cancer tissue and therefore can be clearly distinguished from normal renal tissue. Furthermore, these data prove that the internal Bayer HealthCare isolation/kinetic RT-PCR detection protocol for RNA from FFPE tissue allows accurate retrospective expression profiling and validation of marker panels in archived tissue material stored for more than a decade. [Table: see text]


2012 ◽  
Vol 48 ◽  
pp. S151
Author(s):  
N. Dalay ◽  
N. Buyru ◽  
Z. Yalniz ◽  
H. Tigli

Sign in / Sign up

Export Citation Format

Share Document