Objectives: ABIGAIL, a phase II, randomized, open-label, multicenter study evaluated the correlation between biomarkers and best overall response (BOR) to bevacizumab with chemotherapy in patients with advanced or recurrent non-small-cell lung cancer (NSCLC). Exploratory analyses of vascular endothelial growth factor (VEGF) clinical genotyping data are presented.
Materials and methods: A total of 303 patients with NSCLC were randomized to receive bevacizumab 7.5mg/kg or 15mg/kg until progression or unacceptable toxicity (plus six cycles of chemotherapy). Patients provided blood samples for biomarker analysis. Exploratory analyses were conducted to assess whether genetic variants in VEGF-A or VEGFR-1/-2 act as efficacy or safety biomarkers. Single nucleotide polymorphisms (SNPs) were determined using individual genotyping assays. DNA analysis for 12 SNPs across three genes is reported: VEGF-A (five SNPs), VEGFR-1 (three SNPs), and VEGFR-2 (four SNPs).
Results vegf-a: c.+405/c.-634 (CG), VEGF-A: c.-460 >C; c-1498 >C (CT), and
Vegf-a: c.-2578 C>A were associated with >50% higher odds of responding to treatment. VEGFR-1: rs9554316 (GT) was associated with >30% higher risk of progression and >40% higher risk of death.
Vegf-a: c.+936 C>T was associated with higher incidence of hypertension.
Conclusions: Four genetic variants of VEGF-A and VEGFR-1 were associated with bevacizumab treatment outcome. Three variants in VEGF-A were associated with increased BOR, one variant in VEGFR-1 was associated with worse progression-free survival/overall survival. These associations were not statistically significant after correction for multiple testing. No genetic variant was associated with significantly higher risk of hypertension. Replication in additional studies may provide insight into the use of these variants to predict response to bevacizumab.
Keywords: Bevacizumab; Biomarkers; Clinical genotyping; First-line; NSCLC; VEGF.
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