Literature DB >> 23380956

The use of reverse phase protein arrays (RPPA) to explore protein expression variation within individual renal cell cancers.

Fiach C O'Mahony1, Jyoti Nanda, Alexander Laird, Peter Mullen, Helen Caldwell, Ian M Overton, Lel Eory, Marie O'Donnell, Dana Faratian, Thomas Powles, David J Harrison, Grant D Stewart.   

Abstract

Currently there is no curative treatment for metastatic clear cell renal cell cancer, the commonest variant of the disease. A key factor in this treatment resistance is thought to be the molecular complexity of the disease. Targeted therapy such as the tyrosine kinase inhibitor (TKI)-sunitinib have been utilized, but only 40% of patients will respond, with the overwhelming majority of these patients relapsing within 1 year. As such the question of intrinsic and acquired resistance in renal cell cancer patients is highly relevant. In order to study resistance to TKIs, with the ultimate goal of developing effective, personalized treatments, sequential tissue after a specific period of targeted therapy is required, an approach which had proved successful in chronic myeloid leukaemia. However the application of such a strategy in renal cell carcinoma is complicated by the high level of both inter- and intratumoral heterogeneity, which is a feature of renal cell carcinoma as well as other solid tumors. Intertumoral heterogeneity due to transcriptomic and genetic differences is well established even in patients with similar presentation, stage and grade of tumor. In addition it is clear that there is great morphological (intratumoral) heterogeneity in RCC, which is likely to represent even greater molecular heterogeneity. Detailed mapping and categorization of RCC tumors by combined morphological analysis and Fuhrman grading allows the selection of representative areas for proteomic analysis. Protein based analysis of RCC is attractive due to its widespread availability in pathology laboratories; however, its application can be problematic due to the limited availability of specific antibodies. Due to the dot blot nature of the Reverse Phase Protein Arrays (RPPA), antibody specificity must be pre-validated; as such strict quality control of antibodies used is of paramount importance. Despite this limitation the dot blot format does allow assay miniaturization, allowing for the printing of hundreds of samples onto a single nitrocellulose slide. Printed slides can then be analyzed in a similar fashion to Western analysis with the use of target specific primary antibodies and fluorescently labelled secondary antibodies, allowing for multiplexing. Differential protein expression across all the samples on a slide can then be analyzed simultaneously by comparing the relative level of fluorescence in a more cost-effective and high-throughput manner.

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Year:  2013        PMID: 23380956      PMCID: PMC3582682          DOI: 10.3791/50221

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  11 in total

1.  Non-parametric quantification of protein lysate arrays.

Authors:  Jianhua Hu; Xuming He; Keith A Baggerly; Kevin R Coombes; Bryan T J Hennessy; Gordon B Mills
Journal:  Bioinformatics       Date:  2007-06-28       Impact factor: 6.937

2.  Reverse-phase protein lysate microarrays for cell signaling analysis.

Authors:  Brett Spurrier; Sundhar Ramalingam; Satoshi Nishizuka
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

Review 3.  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

4.  Antitumor activity and biomarker analysis of sunitinib in patients with bevacizumab-refractory metastatic renal cell carcinoma.

Authors:  Brian I Rini; M Dror Michaelson; Jonathan E Rosenberg; Ronald M Bukowski; Jeffrey A Sosman; Walter M Stadler; Thomas E Hutson; Kim Margolin; Charles S Harmon; Samuel E DePrimo; Sindy T Kim; Isan Chen; Daniel J George
Journal:  J Clin Oncol       Date:  2008-08-01       Impact factor: 44.544

5.  Predictive biomarker discovery through the parallel integration of clinical trial and functional genomics datasets.

Authors:  Charles Swanton; James M Larkin; Marco Gerlinger; Aron C Eklund; Michael Howell; Gordon Stamp; Julian Downward; Martin Gore; P Andrew Futreal; Bernard Escudier; Fabrice Andre; Laurence Albiges; Benoit Beuselinck; Stephane Oudard; Jens Hoffmann; Balázs Gyorffy; Chris J Torrance; Karen A Boehme; Hansjuergen Volkmer; Luisella Toschi; Barbara Nicke; Marlene Beck; Zoltan Szallasi
Journal:  Genome Med       Date:  2010-08-11       Impact factor: 11.117

6.  Dynamics of BCR-ABL kinase domain mutations in chronic myeloid leukemia after sequential treatment with multiple tyrosine kinase inhibitors.

Authors:  Jorge Cortes; Elias Jabbour; Hagop Kantarjian; C Cameron Yin; Jianqin Shan; Susan O'Brien; Guillermo Garcia-Manero; Francis Giles; Megan Breeden; Nubia Reeves; William G Wierda; Dan Jones
Journal:  Blood       Date:  2007-09-04       Impact factor: 22.113

7.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

Authors:  Marco Gerlinger; Andrew J Rowan; Stuart Horswell; James Larkin; David Endesfelder; Eva Gronroos; Pierre Martinez; Nicholas Matthews; Aengus Stewart; Charles Swanton; M Math; Patrick Tarpey; Ignacio Varela; Benjamin Phillimore; Sharmin Begum; Neil Q McDonald; Adam Butler; David Jones; Keiran Raine; Calli Latimer; Claudio R Santos; Mahrokh Nohadani; Aron C Eklund; Bradley Spencer-Dene; Graham Clark; Lisa Pickering; Gordon Stamp; Martin Gore; Zoltan Szallasi; Julian Downward; P Andrew Futreal
Journal:  N Engl J Med       Date:  2012-03-08       Impact factor: 91.245

8.  Improved protein arrays for quantitative systems analysis of the dynamics of signaling pathway interactions.

Authors:  Xiaoyu Wang; Ying Dong; Ameena J Jiwani; Yonglong Zou; Johanne Pastor; Makoto Kuro-O; Amyn A Habib; Minzi Ruan; David A Boothman; Chin-Rang Yang
Journal:  Proteome Sci       Date:  2011-09-15       Impact factor: 2.480

9.  The use of automated quantitative analysis to evaluate epithelial-to-mesenchymal transition associated proteins in clear cell renal cell carcinoma.

Authors:  Fiach C O'Mahony; Dana Faratian; James Varley; Jyoti Nanda; Marianna Theodoulou; Antony C P Riddick; David J Harrison; Grant D Stewart
Journal:  PLoS One       Date:  2012-02-21       Impact factor: 3.240

10.  Inter and intratumour heterogeneity: a barrier to individualized medical therapy in renal cell carcinoma?

Authors:  Rosalie Fisher; James Larkin; Charles Swanton
Journal:  Front Oncol       Date:  2012-05-18       Impact factor: 6.244

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  4 in total

Review 1.  Reverse phase protein arrays in acute leukemia: investigative and methodological challenges.

Authors:  Fieke W Hoff; Terzah M Horton; Steven M Kornblau
Journal:  Expert Rev Proteomics       Date:  2021-12-29       Impact factor: 4.250

2.  Overcoming intratumoural heterogeneity for reproducible molecular risk stratification: a case study in advanced kidney cancer.

Authors:  Alexander L R Lubbock; Grant D Stewart; Fiach C O'Mahony; Alexander Laird; Peter Mullen; Marie O'Donnell; Thomas Powles; David J Harrison; Ian M Overton
Journal:  BMC Med       Date:  2017-06-26       Impact factor: 8.775

3.  Carbonic anhydrase 9 expression increases with vascular endothelial growth factor-targeted therapy and is predictive of outcome in metastatic clear cell renal cancer.

Authors:  Grant D Stewart; Fiach C O'Mahony; Alexander Laird; Sukaina Rashid; Sarah A Martin; Lel Eory; Alexander L R Lubbock; Jyoti Nanda; Marie O'Donnell; Alan Mackay; Peter Mullen; S Alan McNeill; Antony C P Riddick; Michael Aitchison; Daniel Berney; Axel Bex; Ian M Overton; David J Harrison; Thomas Powles
Journal:  Eur Urol       Date:  2014-05-10       Impact factor: 20.096

4.  More than 10 years survival with sequential therapy in a patient with advanced renal cell carcinoma: a case report.

Authors:  J L Yuan; F L Wang; X M Yi; W J Qin; G J Wu; Y Huan; L J Yang; G Zhang; L Yu; Y T Zhang; R L Qin; C J Tian
Journal:  Braz J Med Biol Res       Date:  2014-10-31       Impact factor: 2.590

  4 in total

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