Literature DB >> 24130073

The effect of VEGF-targeted therapy on biomarker expression in sequential tissue from patients with metastatic clear cell renal cancer.

Kevin Sharpe1, Grant D Stewart, Alan Mackay, Christophe Van Neste, Charlotte Rofe, Dan Berney, Irfan Kayani, Axel Bex, Elaine Wan, Fiach C O'Mahony, Marie O'Donnell, Simon Chowdhury, Rukma Doshi, Colan Ho-Yen, Marco Gerlinger, Dawn Baker, Neil Smith, Barry Davies, Anju Sahdev, Ekaterini Boleti, Tim De Meyer, Wim Van Criekinge, Luis Beltran, Yong-Jie Lu, David J Harrison, Andrew R Reynolds, Tom Powles.   

Abstract

PURPOSE: To investigate how biologically relevant markers change in response to antiangiogenic therapy in metastatic clear cell renal cancer (mRCC) and correlate these changes with outcome. EXPERIMENTAL
DESIGN: The study used sequential tumor tissue and functional imaging (taken at baseline and 12-16 weeks) obtained from three similar phase II studies. All three studies investigated the role of VEGF tyrosine kinase inhibitors (TKI) before planned nephrectomy in untreated mRCC (n = 85). The effect of targeted therapy on ten biomarkers was measured from sequential tissue. Comparative genomic hybridization (CGH) array and DNA methylation profiling (MethylCap-seq) was performed in matched frozen pairs. Biomarker expression was correlated with early progression (progression as best response) and delayed progression (between 12-16 weeks).
RESULTS: VEGF TKI treatment caused a significant reduction in vessel density (CD31), phospho-S6K expression, PDL-1 expression, and FOXP3 expression (P < 0.05 for each). It also caused a significant increase in cytoplasmic FGF-2, MET receptor expression in vessels, Fuhrman tumor grade, and Ki-67 (P < 0.05 for each). Higher levels of Ki-67 and CD31 were associated with delayed progression (P < 0.05). Multiple samples (n = 5) from the same tumor showed marked heterogeneity of tumor grade, which increased significantly with treatment. Array CGH showed extensive intrapatient variability, which did not occur in DNA methylation analysis.
CONCLUSION: TKI treatment is associated with dynamic changes in relevant biomarkers, despite significant heterogeneity in chromosomal and protein, but not epigenetic expression. Changes to Ki-67 expression and tumor grade indicate that treatment is associated with an increase in the aggressive phenotype of the tumor. ©2013 AACR.

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Year:  2013        PMID: 24130073     DOI: 10.1158/1078-0432.CCR-13-1631

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


  24 in total

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Journal:  Int J Clin Oncol       Date:  2017-10-31       Impact factor: 3.402

2.  Epigenetic sampling effects: nephrectomy modifies the clear cell renal cell cancer methylome.

Authors:  Christophe Van Neste; Alexander Laird; Fiach O'Mahony; Wim Van Criekinge; Dieter Deforce; Filip Van Nieuwerburgh; Thomas Powles; David J Harrison; Grant D Stewart; Tim De Meyer
Journal:  Cell Oncol (Dordr)       Date:  2017-01-10       Impact factor: 6.730

3.  The Impact of Tonsillectomy upon the Risk of Oropharyngeal Carcinoma Diagnosis and Prognosis in the Danish Cancer Registry.

Authors:  Carole Fakhry; Klaus K Andersen; Jane Christensen; Nishant Agrawal; David W Eisele
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5.  Myopodin methylation is a prognostic biomarker and predicts antiangiogenic response in advanced kidney cancer.

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Review 7.  Emerging technologies for studying DNA methylation for the molecular diagnosis of cancer.

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Review 8.  PD-1 blockade in renal cell carcinoma: to equilibrium and beyond.

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9.  High fidelity of driver chromosomal alterations among primary and metastatic renal cell carcinomas: implications for tumor clonal evolution and treatment.

Authors:  Eril J Kouba; John N Eble; Novae Simper; David J Grignon; Mingsheng Wang; Shaobo Zhang; Lisha Wang; Guido Martignoni; Sean R Williamson; Matteo Brunelli; Claudio Luchini; Anna Calió; Liang Cheng
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10.  FAK regulates platelet extravasation and tumor growth after antiangiogenic therapy withdrawal.

Authors:  Monika Haemmerle; Justin Bottsford-Miller; Sunila Pradeep; Morgan L Taylor; Hyun-Jin Choi; Jean M Hansen; Heather J Dalton; Rebecca L Stone; Min Soon Cho; Alpa M Nick; Archana S Nagaraja; Tony Gutschner; Kshipra M Gharpure; Lingegowda S Mangala; Rajesha Rupaimoole; Hee Dong Han; Behrouz Zand; Guillermo N Armaiz-Pena; Sherry Y Wu; Chad V Pecot; Alan R Burns; Gabriel Lopez-Berestein; Vahid Afshar-Kharghan; Anil K Sood
Journal:  J Clin Invest       Date:  2016-04-11       Impact factor: 14.808

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