Browsing by Author "Sibley, Alexander B."

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    Bevacizumab-induced hypertension and proteinuria: a genome-wide study of more than 1000 patients
    (Springer Nature, 2022) Quintanilha, Julia C.F.; Wang, Jin; Sibley, Alexander B.; Jiang, Chen; Etheridge, Amy S.; Shen, Fei; Jiang, Guanglong; Mulkey, Flora; Patel, Jai N.; Hertz, Daniel L.; Dees, Elizabeth Claire; McLeod, Howard L.; Bertagnolli, Monica; Rugo, Hope; Kindler, Hedy L.; Kelly, William Kevin; Ratain, Mark J.; Kroetz, Deanna L.; Owzar, Kouros; Schneider, Bryan P.; Lin, Danyu; Innocenti, Federico; Medicine, School of Medicine
    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.
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    Correction: Bevacizumab-induced hypertension and proteinuria: a genome-wide study of more than 1000 patients
    (Springer Nature, 2022) Quintanilha, Julia C.F.; Wang, Jin; Sibley, Alexander B.; Jiang, Chen; Etheridge, Amy S.; Shen, Fei; Jiang, Guanglong; Mulkey, Flora; Patel, Jai N.; Hertz, Daniel L.; Dees, Elizabeth Claire; McLeod, Howard L.; Bertagnolli, Monica; Rugo, Hope; Kindler, Hedy L.; Kelly, William Kevin; Ratain, Mark J.; Kroetz, Deanna L.; Owzar, Kouros; Schneider, Bryan P.; Lin, Danyu; Innocenti, Federico; Medicine, School of Medicine
    Correction to: British Journal of Cancer 10.1038/s41416-021-01557-w, published online 06 October 2021 The original version of this article unfortunately contained a mistake in an author affiliation. Dr. Kouros Owzar was listed as “Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA”, when it should be “Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA”. The original article has been corrected.
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    Plasma Protein Biomarkers in Advanced or Metastatic Colorectal Cancer Patients Receiving Chemotherapy With Bevacizumab or Cetuximab: Results from CALGB 80405 (Alliance)
    (American Association for Cancer Research, 2022) Nixon, Andrew B.; Sibley, Alexander B.; Liu, Yingmiao; Hatch, Ace J.; Jiang, Chen; Mulkey, Flora; Starr, Mark D.; Brady, John C.; Niedzwiecki, Donna; Venook, Alan P.; Baez-Diaz, Luis; Lenz, Heinz-Josef; O’Neil, Bert H.; Innocenti, Federico; Meyerhardt, Jeffrey A.; O’Reilly, Eileen M.; Owzar, Kouros; Hurwitz, Herbert I.; Medicine, School of Medicine
    Purpose: CALGB 80405 compared the combination of first-line chemotherapy with cetuximab or bevacizumab in the treatment of advanced or metastatic colorectal cancer (mCRC). Although similar clinical outcomes were observed in the cetuximab-chemotherapy group and the bevacizumab-chemotherapy group, biomarkers could identify patients deriving more benefit from either biologic agent. Patients and methods: In this exploratory analysis, the Angiome, a panel of 24 soluble protein biomarkers were measured in baseline plasma samples in CALGB 80405. Prognostic biomarkers were determined using univariate Cox proportional hazards models. Predictive biomarkers were identified using multivariable Cox regression models including interaction between biomarker level and treatment. Results: In the total population, high plasma levels of Ang-2, CD73, HGF, ICAM-1, IL6, OPN, TIMP-1, TSP-2, VCAM-1, and VEGF-R3 were identified as prognostic of worse progression-free survival (PFS) and overall survival (OS). PlGF was identified as predictive of lack of PFS benefit from bevacizumab [bevacizumab HR, 1.51; 95% confidence interval (CI), 1.10-2.06; cetuximab HR, 0.94; 95% CI, 0.71-1.25; Pinteraction = 0.0298] in the combined FOLFIRI/FOLFOX regimens. High levels of VEGF-D were predictive of lack of PFS benefit from bevacizumab in patients receiving FOLFOX regimen only (FOLFOX/bevacizumab HR, 1.70; 95% CI, 1.19-2.42; FOLFOX/cetuximab HR, 0.92; 95% CI, 0.68-1.24; Pinteraction = 0.0097). Conclusions: In this exploratory, hypothesis-generating analysis, the Angiome identified multiple prognostic biomarkers and two potential predictive biomarkers for patients with mCRC enrolled in CALGB 80405. PlGF and VEGF-D predicted lack of benefit from bevacizumab in a chemo-dependent manner.