Observational studyOncology research2026
Bevacizumab and Paclitaxel in Advanced, Hormone Receptor-Positive Breast Cancer: Multifactor Dimensionality Reduction Methodology to Identify Best Overall Survival.
Observational study in Oncology research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01935102 (Polymorphism Interaction to Predict Bevacizumab Efficacy in Advanced Breast Cancer Patients), which is not on this map. Cited by 1 paper.
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.
Polymorphism Interaction to Predict Bevacizumab Efficacy in Advanced Breast Cancer Patients: an Exploratory Retrospective Analysis
Who cites it
1 citing paper in PubMed.
- A Perspective on a Possible New Role for Bevacizumab Combined with Paclitaxel in Hormone-Resistant Metastatic Breast-Cancer Patients.Journal of clinical medicine · 2026Article
Corrections and comments
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Authors and funding
37 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The treatment of advanced hormone receptor-positive (HR+) breast cancer has seen relevant changes in last years. However, bevacizumab remains an option when combined with paclitaxel, but no certified pharmacogenetic profiles are now usable for the prediction of its response in breast cancer patients. This study aimed to explore the pharmacogenetic interactions among single nucleotide polymorphisms (SNPs) of genes involved in the angiogenic process and their impact on progression-free survival (PFS) and overall survival (OS) in hormone receptor-positive (HR+) metastatic breast cancer subjects administered with bevacizumab plus paclitaxel, or with paclitaxel alone (clinicaltrial.gov identifier NCT01935102). Methods: Germline DNA extracted from blood samples was analyzed using real-time polymerase chain reaction to investigate SNPs. The multifactor dimensionality reduction (MDR) analysis was employed to assess interactions between these genetic variants. A total of 168 eligible patients were analyzed. Among these, 106 patients received both paclitaxel and bevacizumab, while 62 received paclitaxel alone. Results: In the combination therapy group, MDR analysis identified two pharmacogenetic interaction profiles involving specific genotypes of vascular endothelial growth factor-A(VEGF-A) rs833061 and vascular endothelial growth factor receptor-2 (VEGFR-2) rs1870377. Patients with a favorable genetic profile had a median PFS (mPFS) of 22.9 months, compared to 8.7 months in those with an unfavorable profile ( Conclusions: The MDR analysis of VEGF-A rs833061 and VEGFR-2 rs1870377 genotypes can detect a subgroup of bevacizumab-administered+ metastatic breast cancer patients with improved PFS and OS.
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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 Socratic graph.