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Quintanilha JCF, Wang J, Sibley AB, Jiang C, Etheridge AS, Shen F, Jiang G, Mulkey F, Patel JN, Hertz DL, Dees EC, McLeod HL, Bertagnolli M, Rugo H, Kindler HL, Kelly WK, Ratain MJ, Kroetz DL, Owzar K, Schneider BP, Lin D, Innocenti F. Bevacizumab-induced hypertension and proteinuria: a genome-wide study of more than 1000 patients. Br J Cancer 2022; 126:265-274. [PMID: 34616010 PMCID: PMC8770703 DOI: 10.1038/s41416-021-01557-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 08/06/2021] [Accepted: 09/17/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Hypertension and proteinuria are common bevacizumab-induced toxicities. No validated biomarkers are available for identifying patients at risk of these toxicities. METHODS A genome-wide association study (GWAS) meta-analysis was performed in 1039 bevacizumab-treated patients of European ancestry in four clinical trials (CALGB 40502, 40503, 80303, 90401). Grade ≥2 hypertension and proteinuria were recorded (CTCAE v.3.0). Single-nucleotide polymorphism (SNP)-toxicity associations were determined using a cause-specific Cox model adjusting for age and sex. RESULTS The most significant SNP associated with hypertension with concordant effect in three out of the four studies (p-value <0.05 for each study) was rs6770663 (A > G) in KCNAB1, with the G allele increasing the risk of hypertension (p-value = 4.16 × 10-6). The effect of the G allele was replicated in ECOG-ACRIN E5103 in 582 patients (p-value = 0.005). The meta-analysis of all five studies for rs6770663 led to p-value = 7.73 × 10-8, close to genome-wide significance. The most significant SNP associated with proteinuria was rs339947 (C > A, between DNAH5 and TRIO), with the A allele increasing the risk of proteinuria (p-value = 1.58 × 10-7). CONCLUSIONS The results from the largest study of bevacizumab toxicity provide new markers of drug safety for further evaluations. SNP in KCNAB1 validated in an independent dataset provides evidence toward its clinical applicability to predict bevacizumab-induced hypertension. ClinicalTrials.gov Identifier: NCT00785291 (CALGB 40502); NCT00601900 (CALGB 40503); NCT00088894 (CALGB 80303) and NCT00110214 (CALGB 90401).
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Affiliation(s)
- Julia C F Quintanilha
- Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jin Wang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Chen Jiang
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Amy S Etheridge
- Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Fei Shen
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Guanglong Jiang
- Department of BioHealth Informatics, Indiana University-Purdue University, Indianapolis, IN, USA
| | - Flora Mulkey
- Alliance Statistics and Data Center, Duke University, Durham, NC, USA
| | | | - Daniel L Hertz
- College of Pharmacy, University of Michigan, Ann Arbor, MI, USA
| | - Elizabeth Claire Dees
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Howard L McLeod
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | | | - Hope Rugo
- Department of Medicine, Hematology/Oncology, University of California at San Francisco, San Francisco, CA, USA
| | - Hedy L Kindler
- University of Chicago Comprehensive Cancer Center, Chicago, IL, USA
| | | | - Mark J Ratain
- University of Chicago Comprehensive Cancer Center, Chicago, IL, USA
| | - Deanna L Kroetz
- Department of Bioengineering and Therapeutic Sciences, University of California at San Francisco, San Francisco, CA, USA
| | - Kouros Owzar
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA
| | - Bryan P Schneider
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Danyu Lin
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Federico Innocenti
- Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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