Literature DB >> 12923786

Proteomic changes in renal cancer and co-ordinate demonstration of both the glycolytic and mitochondrial aspects of the Warburg effect.

Richard D Unwin1, Rachel A Craven, Patricia Harnden, Sarah Hanrahan, Nick Totty, Margaret Knowles, Ian Eardley, Peter J Selby, Rosamonde E Banks.   

Abstract

Renal cell carcinoma (RCC) is the tenth most common cancer although the incidence is increasing. The main clinical problems stem from the relatively late presentation of many patients due to the often asymptomatic nature of the illness, and the relative insensitivity of metastatic disease to conventional chemotherapy and radiotherapy. Despite increasing knowledge of some of the genetic changes underlying sporadic renal cancer such as those involving the Von Hippel Lindau (VHL) gene, many of the underlying pathophysiological changes are ill-defined and there remains a need for the identification of disease markers for use in diagnosis and prognosis or as potential therapeutic targets. This study has used a proteomic approach, based on two-dimensional gel electrophoresis and mass spectrometry, to compare the protein profiles of conventional RCC tissue with patient-matched normal kidney cortex. Sequencing of 32 protein spots with significantly increased expression in RCC samples (>/= 4/6 patients) and 41 proteins whose levels decreased (6/6 patients) confirmed several previously known RCC-associated changes such as increases in Mn-superoxide dismutase, lactate dehydrogenase-A, aldolase A and C, pyruvate kinase M2, and thymidine phosphorylase. Additionally, several previously unknown changes were identified, including increased expression of three members of the annexin family and increased levels of the actin depolymerisation factor cofilin. The Warburg effect was also demonstrated with the identification of increases in proteins involved in the majority of steps in the glycolytic pathway and decreases in the gluconeogenic reactions, together with a parallel decrease in several mitochondrial enzymes. A number of the alterations seen were further confirmed in additional samples by immunohistochemistry, Western blotting, and laser capture microdissection.

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Year:  2003        PMID: 12923786     DOI: 10.1002/pmic.200300464

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  87 in total

1.  Up-regulation of the ATPase inhibitory factor 1 (IF1) of the mitochondrial H+-ATP synthase in human tumors mediates the metabolic shift of cancer cells to a Warburg phenotype.

Authors:  Laura Sánchez-Cenizo; Laura Formentini; Marcos Aldea; Alvaro D Ortega; Paula García-Huerta; María Sánchez-Aragó; José M Cuezva
Journal:  J Biol Chem       Date:  2010-06-09       Impact factor: 5.157

2.  Role of the cofilin activity cycle in astrocytoma migration and invasion.

Authors:  Shoichi Nagai; Orlando Moreno; Christian A Smith; Stacey Ivanchuk; Rocco Romagnuolo; Brian Golbourn; Adrienne Weeks; Ho Jun Seol; James T Rutka
Journal:  Genes Cancer       Date:  2011-09

Review 3.  How do glycolytic enzymes favour cancer cell proliferation by nonmetabolic functions?

Authors:  H Lincet; P Icard
Journal:  Oncogene       Date:  2014-09-29       Impact factor: 9.867

4.  Combined analysis of transcriptome and proteome data as a tool for the identification of candidate biomarkers in renal cell carcinoma.

Authors:  Barbara Seliger; Sven P Dressler; Ena Wang; Roland Kellner; Christian V Recktenwald; Friedrich Lottspeich; Francesco M Marincola; Maja Baumgärtner; Derek Atkins; Rudolf Lichtenfels
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

Review 5.  A message emerging from development: the repression of mitochondrial beta-F1-ATPase expression in cancer.

Authors:  José M Cuezva; María Sánchez-Aragó; Sandra Sala; Amaya Blanco-Rivero; Alvaro D Ortega
Journal:  J Bioenerg Biomembr       Date:  2007-06       Impact factor: 2.945

Review 6.  Application and implementation of selective tissue microdissection and proteomic profiling in neurological disease.

Authors:  Jay Jagannathan; Jie Li; Nicholas Szerlip; Alexander O Vortmeyer; Russell R Lonser; Edward H Oldfield; Zhengping Zhuang
Journal:  Neurosurgery       Date:  2009-01       Impact factor: 4.654

7.  Oxygen consumption can regulate the growth of tumors, a new perspective on the Warburg effect.

Authors:  Yijun Chen; Rob Cairns; Ioanna Papandreou; Albert Koong; Nicholas C Denko
Journal:  PLoS One       Date:  2009-09-15       Impact factor: 3.240

8.  Cancer as a metabolic disease.

Authors:  Thomas N Seyfried; Laura M Shelton
Journal:  Nutr Metab (Lond)       Date:  2010-01-27       Impact factor: 4.169

9.  The Warburg effect is genetically determined in inherited pheochromocytomas.

Authors:  Judith Favier; Jean-Jacques Brière; Nelly Burnichon; Julie Rivière; Laure Vescovo; Paule Benit; Isabelle Giscos-Douriez; Aurélien De Reyniès; Jérôme Bertherat; Cécile Badoual; Frédérique Tissier; Laurence Amar; Rosella Libé; Pierre-François Plouin; Xavier Jeunemaitre; Pierre Rustin; Anne-Paule Gimenez-Roqueplo
Journal:  PLoS One       Date:  2009-09-18       Impact factor: 3.240

10.  Annexin II represents metastatic potential in clear-cell renal cell carcinoma.

Authors:  Y Ohno; M Izumi; T Kawamura; T Nishimura; K Mukai; M Tachibana
Journal:  Br J Cancer       Date:  2009-06-09       Impact factor: 7.640

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