ArticlePharmaceuticals (Basel, Switzerland)2020
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.
Article in Pharmaceuticals (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01745757 (Cohort Study of Prospective Validation of Predictive Factors and Biological Imaging of Response to Bevacizumab), which is not on this map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Cohort Study of Prospective Validation of Predictive Factors and Biological Imaging of Response to Bevacizumab (AVASTIN ®) in Combination With Weekly Paclitaxel Chemotherapy in First Line Treatment Patients With Metastatic Breast Cancer
Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Bevacizumab and Paclitaxel in Advanced, Hormone Receptor-Positive Breast Cancer: Multifactor Dimensionality Reduction Methodology to Identify Best Overall Survival.Oncology research · 2026Observational
- VEGF Signaling Pathway Germline Polymorphisms as Prognostic Pharmacogenetic Biomarkers in Localized High-Grade Osteosarcoma Patients from the GEIS-33 Protocol.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Analysis of prognostic germline polymorphisms in patients with advanced hepatocellular carcinoma.Translational gastroenterology and hepatology · 2023Article
- VEGF Receptor Inhibitor-Induced Hypertension: Emerging Mechanisms and Clinical Implications.Current oncology reports · 2022Review
- A pharmacogenetic interaction analysis of bevacizumab with paclitaxel in advanced breast cancer patients.NPJ breast cancer · 2022Article
- Predictive value of vascular endothelial growth factor polymorphisms for maintenance bevacizumab efficacy in metastatic colorectal cancer: an ancillary study of the PRODIGE 9 phase III trial.Therapeutic advances in medical oncology · 2022Article
- Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.International journal of molecular sciences · 2021Review
- Influence of GSTP1 Polymorphism on the Clinical Outcomes of Patients With Advanced NSCLC Receiving First-Line Bevacizumab-Based Regimen: A Real-World Retrospective Study.Clinical Medicine Insights. Oncology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 10 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.