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VEGF-Related Germinal Polymorphisms May Identify a Subgroup of Breast Cancer Patients with Favorable Outcome under Bevacizumab-Based Therapy-A Message from COMET, a French Unicancer Multicentric Study

The prospective multicenter COMET trial followed a cohort of 306 consecutive metastatic breast cancer patients receiving bevacizumab and paclitaxel as first-line chemotherapy. This study was intended to identify and validate reliable biomarkers to better predict bevacizumab treatment outcomes and al...

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Main Authors: Jocelyn Gal (Author), Gérard Milano (Author), Patrick Brest (Author), Nathalie Ebran (Author), Julia Gilhodes (Author), Laurence Llorca (Author), Coraline Dubot (Author), Gilles Romieu (Author), Isabelle Desmoulins (Author), Etienne Brain (Author), Anthony Goncalves (Author), Jean-Marc Ferrero (Author), Paul-Henri Cottu (Author), Marc Debled (Author), Olivier Tredan (Author), Emmanuel Chamorey (Author), Marco Carlo Merlano (Author), Jérôme Lemonnier (Author), Marie-Christine E (Author), Jean-Yves Pierga (Author)
Format: Book
Published: MDPI AG, 2020-11-01T00:00:00Z.
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Summary:The prospective multicenter COMET trial followed a cohort of 306 consecutive metastatic breast cancer patients receiving bevacizumab and paclitaxel as first-line chemotherapy. This study was intended to identify and validate reliable biomarkers to better predict bevacizumab treatment outcomes and allow for a more personalized use of this antiangiogenic agent. To that end, we aimed to establish risk scores for survival prognosis dichotomization based on classic clinico-pathological criteria combined or not with single nucleotide polymorphisms (SNPs). The genomic DNA of 306 patients was extracted and a panel of 13 SNPs, covering seven genes previously documented to be potentially involved in drug response, were analyzed by means of high-throughput genotyping. In receiver operating characteristic (ROC) analyses, the hazard model based on a triple-negative cancer phenotype variable, combined with specific SNPs in <i>VEGFA</i> (rs833061), <i>VEGFR1</i> (rs9582036) and <i>VEGFR2</i> (rs1870377), had the highest predictive value. The overall survival hazard ratio of patients assigned to the poor prognosis group based on this model was 3.21 (95% CI (2.33-4.42); <i>p</i> < 0.001). We propose that combining this pharmacogenetic approach with classical clinico-pathological characteristics could markedly improve clinical decision-making for breast cancer patients receiving bevacizumab-based therapy.
Item Description:10.3390/ph13110414
1424-8247

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