Literature DB >> 15701852

Gene expression in kidney cancer is associated with cytogenetic abnormalities, metastasis formation, and patient survival.

Holger Sültmann1, Anja von Heydebreck, Wolfgang Huber, Ruprecht Kuner, Andreas Buness, Markus Vogt, Bastian Gunawan, Martin Vingron, Laszlo Füzesí, Annemarie Poustka.   

Abstract

Current diagnosis of renal cancer consists of histopathologic examination of tissue sections and classification into tumor stages and grades of malignancy. Until recently, molecular differences between tumor types were largely unknown. To examine such differences, we did gene expression measurements of 112 renal cell carcinoma and normal kidney samples on renal cell carcinoma-specific cDNA microarrays containing 4,207 genes and expressed sequence tags. The gene expression patterns showed deregulation of complete biological pathways in the tumors. Many of the molecular changes corresponded well to the histopathologic tumor types, and a set of 80 genes was sufficient to classify tumors with a very low error rate. Distinct gene expression signatures were associated with chromosomal abnormalities of tumor cells, metastasis formation, and patient survival. The data highlight the benefit of microarrays to detect novel tumor classes and to identify genes that are associated with patient variables and tumor properties.

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Year:  2005        PMID: 15701852

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  30 in total

1.  Kinome expression profiling identifies IKBKE as a predictor of overall survival in clear cell renal cell carcinoma patients.

Authors:  Michelle A T Hildebrandt; Weiqi Tan; Pheroze Tamboli; Maosheng Huang; Yuanqing Ye; Jie Lin; Ju-Seog Lee; Christopher G Wood; Xifeng Wu
Journal:  Carcinogenesis       Date:  2012-01-19       Impact factor: 4.944

Review 2.  What can molecular pathology contribute to the management of renal cell carcinoma?

Authors:  Grant D Stewart; Fiach C O'Mahony; Thomas Powles; Antony C P Riddick; David J Harrison; Dana Faratian
Journal:  Nat Rev Urol       Date:  2011-04-12       Impact factor: 14.432

3.  Why do we miss Metastatic Renal Cell Carcinoma?

Authors:  Ritu Lakhtakia; Hirdesh Sahni; Anurag Mehta; S K Nema
Journal:  Med J Armed Forces India       Date:  2011-07-21

Review 4.  Basic research in kidney cancer.

Authors:  Egbert Oosterwijk; W Kimryn Rathmell; Kerstin Junker; A Rose Brannon; Frédéric Pouliot; David S Finley; Peter F A Mulders; Ziya Kirkali; Hirotsugo Uemura; Arie Belldegrun
Journal:  Eur Urol       Date:  2011-07-05       Impact factor: 20.096

Review 5.  Renal cell carcinoma: where will the state-of-the-art lead us?

Authors:  A Rose Brannon; W Kimryn Rathmell
Journal:  Curr Oncol Rep       Date:  2010-05       Impact factor: 5.075

Review 6.  Prognostic and predictive biomarkers in renal cell carcinoma.

Authors:  Michael M Vickers; Daniel Y C Heng
Journal:  Target Oncol       Date:  2010-06-28       Impact factor: 4.493

7.  Genetic Analysis Identifies the Role of HLF in Renal Cell Carcinoma.

Authors:  Chao-Yuan Huang; Shu-Pin Huang; Yu-Mei Hsueh; Lih-Chyang Chen; Te-Ling Lu; Bo-Ying Bao
Journal:  Cancer Genomics Proteomics       Date:  2020 Nov-Dec       Impact factor: 4.069

Review 8.  Genomics and proteomics in renal cell carcinoma: diagnosis, prognosis, and treatment selection.

Authors:  Jon Jones; Allan J Pantuck
Journal:  Curr Urol Rep       Date:  2008-01       Impact factor: 3.092

9.  Identification and characterization of renal cell carcinoma gene markers.

Authors:  Gul S Dalgin; Dustin T Holloway; Louis S Liou; Charles DeLisi
Journal:  Cancer Inform       Date:  2007-02-09

Review 10.  From bench to bedside: current and future applications of molecular profiling in renal cell carcinoma.

Authors:  Androu Arsanious; Georg A Bjarnason; George M Yousef
Journal:  Mol Cancer       Date:  2009-03-17       Impact factor: 27.401

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