Literature DB >> 25521357

Pharmacogenetic interaction analysis of VEGFR-2 and IL-8 polymorphisms in advanced breast cancer patients treated with paclitaxel and bevacizumab.

Giacomo Allegrini1, Luigi Coltelli, Paola Orlandi, Andrea Fontana, Andrea Camerini, Antonella Ferro, Marina Cazzaniga, Virginia Casadei, Sara Lucchesi, Eleonora Bona, Marco Di Lieto, Ilaria Pazzagli, Federica Villa, Domenico Amoroso, Marco Scalese, Giada Arrighi, Sabrina Molinaro, Anna Fioravanti, Chiara Finale, Renza Triolo, Teresa Di Desidero, Sara Donati, Lorenzo Marcucci, Orlando Goletti, Marzia Del Re, Barbara Salvadori, Ilaria Ferrarini, Romano Danesi, Alfredo Falcone, Guido Bocci.   

Abstract

AIM: To investigate pharmacogenetic interactions among VEGF-A, VEGFR-2, IL-8, HIF-1α, EPAS-1 and TSP-1 SNPs and their role on progression-free survival in a population of metastatic breast cancer patients treated with bevacizumab in combination with first-line paclitaxel. PATIENTS &
METHODS: Analyses were performed on germline DNA obtained from blood samples and SNPs were investigated by real-time polymerase chain reaction technique. The multifactor dimensionality reduction methodology was applied to investigate the interaction between SNPs.
RESULTS: One hundred and thirteen patients were enrolled from eight Italian Oncology Units ( clinicaltrial.gov : NCT01935102). The multifactor dimensionality reduction software provided two pharmacogenetic interaction profiles consisting of the combination between specific VEGFR-2 rs11133360 and IL-8 rs4073 genotypes. The median progression-free survival was 14.1 months (95% CI: 11.4-16.8) and 10.2 months (95% CI: 8.8-11.5) for the favorable and the unfavorable genetic profile, respectively (HR: 0.44, 95% CI: 0.29-0.66, p < 0.0001).
CONCLUSION: The pharmacogenetic statistical interaction between VEGFR-2 rs11133360 and IL-8 rs4073 genotypes may identify a population of patients with a better outcome.

Entities:  

Keywords:  advanced breast cancer; angiogenesis; bevacizumab; first-line chemotherapy; multifactor dimensionality reduction methodology; paclitaxel; pharmacogenetics; single nucleotide polymorphisms

Mesh:

Substances:

Year:  2014        PMID: 25521357     DOI: 10.2217/pgs.14.140

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  9 in total

Review 1.  Impact of Candidate Genetic Polymorphisms in Prostate Cancer: An Overview.

Authors:  S Salvi; V Conteduca; G Gurioli; D Calistri; V Casadio; U De Giorgi
Journal:  Mol Diagn Ther       Date:  2016-02       Impact factor: 4.074

2.  Predictive value of vascular endothelial growth factor receptor type 2 in triple-negative breast cancer patients treated with neoadjuvant chemotherapy.

Authors:  Nataliya Babyshkina; Marina Zavyalova; Natalia Tarabanovskaya; Tatyana Dronova; Nadejda Krakhmal; Elena Slonimskaya; Julia Kzhyshkowska; Evgeny Choynzonov; Nadejda Cherdyntseva
Journal:  Mol Cell Biochem       Date:  2017-12-11       Impact factor: 3.396

Review 3.  HIF1A gene polymorphisms and human diseases: Graphical review of 97 association studies.

Authors:  I Gladek; J Ferdin; S Horvat; G A Calin; T Kunej
Journal:  Genes Chromosomes Cancer       Date:  2017-03-31       Impact factor: 5.006

4.  A pharmacogenetic interaction analysis of bevacizumab with paclitaxel in advanced breast cancer patients.

Authors:  Luigi Coltelli; Giacomo Allegrini; Paola Orlandi; Chiara Finale; Andrea Fontana; Luna Chiara Masini; Marco Scalese; Giada Arrighi; Maria Teresa Barletta; Ermelinda De Maio; Marta Banchi; Elisabetta Fini; Patrizia Guidi; Giada Frenzilli; Sara Donati; Simona Giovannelli; Lucia Tanganelli; Barbara Salvadori; Lorenzo Livi; Icro Meattini; Ilaria Pazzagli; Marco Di Lieto; Mirco Pistelli; Virginia Casadei; Antonella Ferro; Samanta Cupini; Francesca Orlandi; Damiana Francesca; Giulia Lorenzini; Leonardo Barellini; Alfredo Falcone; Alessandro Cosimi; Guido Bocci
Journal:  NPJ Breast Cancer       Date:  2022-03-21

5.  Role of VEGFA gene polymorphisms in colorectal cancer patients who treated with bevacizumab.

Authors:  Wei Cui; Feng Li; Qiang Yuan; Gang Chen; Cailing Chen; Bo Yu
Journal:  Oncotarget       Date:  2017-11-06

6.  IL-8 and eNOS polymorphisms predict bevacizumab-based first line treatment outcomes in RAS mutant metastatic colorectal cancer patients.

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Journal:  Oncotarget       Date:  2017-03-07

7.  A Novel Model Based on CXCL8-Derived Radiomics for Prognosis Prediction in Colorectal Cancer.

Authors:  Yanpeng Chu; Jie Li; Zhaoping Zeng; Bin Huang; Jiaojiao Zhao; Qin Liu; Huaping Wu; Jiangping Fu; Yin Zhang; Yefan Zhang; Jianqiang Cai; Fanxin Zeng
Journal:  Front Oncol       Date:  2020-10-14       Impact factor: 6.244

Review 8.  Genetic Influences in Breast Cancer Drug Resistance.

Authors:  Adhitiya Daniyal; Ivana Santoso; Nadira Hasna Putri Gunawan; Melisa Intan Barliana; Rizky Abdulah
Journal:  Breast Cancer (Dove Med Press)       Date:  2021-02-09

9.  Genetic interaction of P2X7 receptor and VEGFR-2 polymorphisms identifies a favorable prognostic profile in prostate cancer patients.

Authors:  Anna Solini; Vittorio Simeon; Lisa Derosa; Paola Orlandi; Chiara Rossi; Andrea Fontana; Luca Galli; Teresa Di Desidero; Anna Fioravanti; Sara Lucchesi; Luigi Coltelli; Laura Ginocchi; Giacomo Allegrini; Romano Danesi; Alfredo Falcone; Guido Bocci
Journal:  Oncotarget       Date:  2015-10-06
  9 in total

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