Literature DB >> 19584732

Biomarkers in renal cell carcinoma.

Barry B McGuire1, John M Fitzpatrick.   

Abstract

PURPOSE OF REVIEW: To review the latest information on biomarkers in renal cell carcinoma and their use in integrated staging systems. RECENT
FINDINGS: The discovery of the Von Hippel-Lindau defect and the hypoxia inducible factor-1alpha transcripted genes has led to an explosion in the understanding of molecular pathways in renal cell carcinoma. The two most prominent biomarkers are carbonic anhydrase IX and vascular endothelial-derived growth factor. Carbonic anhydrase IX has demonstrated excellent specificity and ability to predict treatment response. Vascular-derived growth factor has good correlation with stage, grade and increased levels with adverse survival. Markers such as CXCL16, ADAM10, B7-H1, Ki-67, survivin, P53, GLUT-1, calveolin-1 and endoglin are continuously being validated. CXCL16 is one of the newest biomarkers, is significantly expressed in papillary renal cell carcinoma and is an independent prognostic marker for better patient survival. The incorporation of biomarkers into integrated staging systems such as UCLA Integrated Staging System, SSIGN and Bioscore are discussed and compared.
SUMMARY: The use of novel molecular biomarkers are being incorporated into clinical practice. The understanding of molecular pathways will lead to tailored treatment to the individual patient.

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Year:  2009        PMID: 19584732     DOI: 10.1097/MOU.0b013e32832f0c68

Source DB:  PubMed          Journal:  Curr Opin Urol        ISSN: 0963-0643            Impact factor:   2.309


  15 in total

1.  Crystal structure of the human glucose transporter GLUT1.

Authors:  Dong Deng; Chao Xu; Pengcheng Sun; Jianping Wu; Chuangye Yan; Mingxu Hu; Nieng Yan
Journal:  Nature       Date:  2014-05-18       Impact factor: 49.962

2.  Polycomb group genes are targets of aberrant DNA methylation in renal cell carcinoma.

Authors:  Michele Avissar-Whiting; Devin C Koestler; E Andres Houseman; Brock C Christensen; Karl T Kelsey; Carmen J Marsit
Journal:  Epigenetics       Date:  2011-06-01       Impact factor: 4.528

3.  IRF1 suppresses Ki-67 promoter activity through interfering with Sp1 activation.

Authors:  Feifei Chen; Jian Song; Jiehui Di; Qing Zhang; Hui Tian; Junnian Zheng
Journal:  Tumour Biol       Date:  2012-08-14

4.  HuR expression is a marker of poor prognosis in renal cell carcinoma.

Authors:  Hanna Ronkainen; Markku H Vaarala; Pasi Hirvikoski; Ari Ristimäki
Journal:  Tumour Biol       Date:  2010-12-16

5.  Prognostic investigations of B7-H1 and B7-H4 expression levels as independent predictor markers of renal cell carcinoma.

Authors:  Hamid Reza Safaei; Ayoob Rostamzadeh; Omid Rahmani; Mohsen Mohammadi; Omar Ghaderi; Hamid Yahaghi; Koroosh Ahmadi
Journal:  Tumour Biol       Date:  2015-12-18

6.  Identification and characterization of human leukocyte antigen class I ligands in renal cell carcinoma cells.

Authors:  Barbara Seliger; Sven P Dressler; Chiara Massa; Christian V Recktenwald; Florian Altenberend; Juergen Bukur; Francesco M Marincola; Ena Wang; Stefan Stevanovic; Rudolf Lichtenfels
Journal:  Proteomics       Date:  2011-05-18       Impact factor: 3.984

7.  hERG1 Channels and Glut-1 as Independent Prognostic Indicators of Worse Outcome in Stage I and II Colorectal Cancer: A Pilot Study.

Authors:  Elena Lastraioli; Lapo Bencini; Elisa Bianchini; Maria Raffaella Romoli; Olivia Crociani; Elisa Giommoni; Luca Messerini; Silvia Gasperoni; Renato Moretti; Francesco Di Costanzo; Luca Boni; Annarosa Arcangeli
Journal:  Transl Oncol       Date:  2012-04-01       Impact factor: 4.243

Review 8.  GLUT, SGLT, and SWEET: Structural and mechanistic investigations of the glucose transporters.

Authors:  Dong Deng; Nieng Yan
Journal:  Protein Sci       Date:  2016-01-04       Impact factor: 6.725

9.  Multidimensional liquid chromatography platform for profiling alterations of clusterin N-glycosylation in the plasma of patients with renal cell carcinoma.

Authors:  Fateme Tousi; Jonathan Bones; Othon Iliopoulos; William S Hancock; Marina Hincapie
Journal:  J Chromatogr A       Date:  2012-07-28       Impact factor: 4.759

10.  Cellular phenotype-dependent and -independent effects of vitamin C on the renewal and gene expression of mouse embryonic fibroblasts.

Authors:  Shiu-Ming Kuo; Lana R Burl; Zihua Hu
Journal:  PLoS One       Date:  2012-03-13       Impact factor: 3.240

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