
doi: 10.2217/pgs.12.28
pmid: 22515612
Aromatase inhibitors (AIs) are an important class of endocrine drugs used in the treatment of early and advanced breast cancer in postmenopausal women. A number of studies have taken candidate approaches to assess the role of variants in genes encoding enzymes important in AI metabolism, notably CYP19A1 (aromatase), in AI response. These studies have shown conflicting, but interesting, results suggesting that CYP19A1 variants may be important in both the efficacy and toxicity of AIs. A recent genome-wide association study has identified a variant, creating an estrogen response element in TCL1A, which is associated with an increased risk of the musculoskeletal side effects associated with AI use. As breast cancer incidence increases, predictive biomarkers of response to AIs will become more important to ensure the most effective use of endocrine treatments.
Neoplasms, Hormone-Dependent, Polymorphism, Genetic, Antineoplastic Agents, Hormonal, Aromatase Inhibitors, TCL1A, Breast Neoplasms, Biomarkers, Pharmacological, aromatase inhibitors, breast cancer, Aromatase, Treatment Outcome, Proto-Oncogene Proteins, Humans, Female, Precision Medicine, pharmacogenetics
Neoplasms, Hormone-Dependent, Polymorphism, Genetic, Antineoplastic Agents, Hormonal, Aromatase Inhibitors, TCL1A, Breast Neoplasms, Biomarkers, Pharmacological, aromatase inhibitors, breast cancer, Aromatase, Treatment Outcome, Proto-Oncogene Proteins, Humans, Female, Precision Medicine, pharmacogenetics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
