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Article | Open Access

Bevacizumab and Paclitaxel in Advanced, Hormone Receptor-Positive Breast Cancer: Multifactor Dimensionality Reduction Methodology to Identify Best Overall Survival

Luigi Coltelli#,1,2Paola Orlandi#,3Chiara Finale#,1,4Gianna Musettini#,1,4Luna Chiara Masini1,4Marco Scalese5Giulia Soria1,4Elena Sartori1,4Ylenia Nodari1,4Giada Arrighi1,2Arianna Bandini3Marta Banchi3Costanza Tacchi3Donghao Tang3Barbara Salvadori6Lucia Tanganelli1,7Simona Giovannelli1,8Mirco Pistelli9Samanta Cupini1,4Maurizio Lucchesi1,10Alessandro Cosimi11Giulia Lorenzini1,7Elisa Biasco1,4Chiara Caparello1,4Giulia Acconci1,4,6Eloise Fontana1,4Eleonora Bona1,4Azzurra Farnesi1,4Antonio Pellino1,4Andrea Marini1,4Ermelinda De Maio1,4Irene Stasi1,4Cecilia Barbara1,4Enrico Sammarco1,4Javier Rosada12,13Giacomo Allegrini1,4( )Guido Bocci3( )
Department of Oncology, Azienda USL Toscana Nord Ovest, Livorno, Italy
Division of Medical Oncology, Pontedera Hospital, Azienda USL Toscana Nord Ovest, Pontedera, Italy
Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
Division of Medical Oncology, Livorno Hospital, Azienda USL Toscana Nord Ovest, Livorno, Italy
Institute of Clinical Physiology, Italian National Research Council—CNR, Pisa, Italy
Division of Medical Oncology II, Azienda Ospedaliero-Universitaria Pisana, S. Chiara Hospital, Pisa, Italy
Division of Medical Oncology, Versilia Hospital, Azienda Usl Toscana Nord Ovest, Lido di Camaiore, Italy
Division of Medical Oncology, San Luca Hospital, Azienda Usl Toscana Nord Ovest, Lucca, Italy
Division of Medical Oncology, Umberto I Salesi-Lancisi Hospital, Azienda Ospedaliero-Universitaria Umberto I, Ancona, Italy
Division of Medical Oncology, Apuane Hospital, Azienda Usl Toscana Nord Ovest, Massa e Carrara, Italy
SC Screening, Azienda USL Toscana Sud Est, Siena, Italy
Department of Internal Medicine, Azienda USL Toscana Nord Ovest, Livorno, Italy
Division of Internal Medicine, Livorno Hospital, Azienda USL Toscana Nord Ovest, Livorno, Italy

#These authors contributed equally to this work as the first author

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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 (p = 0.001). Cox proportional hazards analysis displayed an adjusted hazard ratio of 0.443 (95% CI: 0.284–0.691; p < 0.0001). The median OS (mOS) was 50.2 months for the favorable profile vs. 23.5 months for the unfavorable (p = 0.003), with an adjusted hazard ratio (HR) of 0.404 (95% CI: 0.249–0.657; p < 0.0001). In the 62 subjects administered with just paclitaxel, no significant differences in PFS (p = 0.820) or OS (p = 0.143) were observed between favorable and unfavorable genetic profiles.

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.

References

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Oncology Research
Article number: 13

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Cite this article:
Coltelli L, Orlandi P, Finale C, et al. Bevacizumab and Paclitaxel in Advanced, Hormone Receptor-Positive Breast Cancer: Multifactor Dimensionality Reduction Methodology to Identify Best Overall Survival. Oncology Research, 2026, 34(5): 13. https://doi.org/10.32604/or.2026.073799

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Received: 25 September 2025
Accepted: 30 January 2026
Published: 22 April 2026
© The Author 2026.

This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.