Literature DB >> 27020167

SNPs associated with activity and toxicity of cabazitaxel in patients with advanced urothelial cell carcinoma.

Ignacio Duran1, Carlos Hagen2, José Ángel Arranz3, María Apellaniz-Ruiz4, Begoña Pérez-Valderrama1, Nuria Sala5, Nuria Lainez6, Xavier García-Del Muro7, Esther Noguerón8, Miguel Ángel Climent9, Pablo Maroto10, Albert Font11, Jesús García-Donas12, Enrique Gallardo13, Pilar López-Criado14, Aránzazu González Del Alba15, María Isabel Sáez16, Sergio Vázquez17, Raquel Luque18, Cristina Rodríguez-Antona4,19.   

Abstract

AIM: We aimed to identify SNPs associated with cabazitaxel toxicity and response within a Phase II clinical trial using this compound in advanced transitional cell carcinoma after progression to a platinum-based regimen. PATIENTS &
METHODS: Eleven SNPs in CYP3A4, CYP3A5, CYP2C8, ABCB1 and TUBB1 were genotyped in 45 patients.
RESULTS: CYP3A5 rs776746 A allele was associated with protection against gastrointestinal toxicity (odds ratio: 0.06, 95% CI: 0.007-0.63, p = 0.018) and with reduced progression-free survival (hazard ratio: 5.1, 95% CI: 1.7-15.1, p = 0.0038, multivariable analysis). ABCB1 SNPs were associated with total number of grade 3-4 toxicity events (p-values of 0.009, 0.041 and 0.043, respectively).
CONCLUSION: Polymorphisms in CYP3A5 and ABCB1 may define a subset of patients with different cabazitaxel toxicity and efficacy and therefore could be used as markers for treatment optimization.

Entities:  

Keywords:  SNPs; biomarkers; cabazitaxel; genitourinary transitional cell carcinoma; pharmacogenetics

Mesh:

Substances:

Year:  2016        PMID: 27020167     DOI: 10.2217/pgs.15.186

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


  2 in total

1.  Genetic variation in human drug-related genes.

Authors:  Charlotta Pauline Irmgard Schärfe; Roman Tremmel; Matthias Schwab; Oliver Kohlbacher; Debora Susan Marks
Journal:  Genome Med       Date:  2017-12-22       Impact factor: 11.117

Review 2.  Emerging Biomarkers in Bladder Cancer Identified by Network Analysis of Transcriptomic Data.

Authors:  Matteo Giulietti; Giulia Occhipinti; Alessandra Righetti; Massimo Bracci; Alessandro Conti; Annamaria Ruzzo; Elisabetta Cerigioni; Tiziana Cacciamani; Giovanni Principato; Francesco Piva
Journal:  Front Oncol       Date:  2018-10-12       Impact factor: 6.244

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.