Browsing by Author "Shen, F."

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    Genetic variant predicts bevacizumab-induced hypertension in ECOG-5103 and ECOG-2100
    (Nature Publishing Group, 2014-09-09) Schneider, B. P.; Li, L.; Shen, F.; Miller, K. D.; Radovich, M.; O'Neill, A.; Gray, R. J.; Lane, D.; Flockhart, D. A.; Jiang, G.; Wang, Z.; Lai, D.; Koller, D.; Pratt, J. H.; Dang, C. T.; Northfelt, D.; Perez, E. A.; Shenkier, T.; Cobleigh, M.; Smith, M. L.; Railey, E.; Partridge, A.; Gralow, J.; Sparano, J.; Davidson, N. E.; Foroud, T.; Sledge, G. W.; Department of Medicine, IU School of Medicine
    Background: Bevacizumab has broad anti-tumour activity, but substantial risk of hypertension. No reliable markers are available for predicting bevacizumab-induced hypertension. Methods: A genome-wide association study (GWAS) was performed in the phase III bevacizumab-based adjuvant breast cancer trial, ECOG-5103, to evaluate for an association between genotypes and hypertension. GWAS was conducted in those who had experienced systolic blood pressure (SBP) >160 mm Hg during therapy using binary analysis and a cumulative dose model for the total exposure of bevacizumab. Common toxicity criteria (CTC) grade 3–5 hypertension was also assessed. Candidate SNP validation was performed in the randomised phase III trial, ECOG-2100. Results: When using the phenotype of SBP>160 mm Hg, the most significant association in SV2C (rs6453204) approached and met genome-wide significance in the binary model (P=6.0 × 10−8