Predictive markers in elderly patients with estrogen receptor-positive breast cancer treated with aromatase inhibitors: an array-based pharmacogenetic study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-10-27

AUTHORS

E Rumiato, A Brunello, S Ahcene-Djaballah, L Borgato, M Gusella, D Menon, F Pasini, A Amadori, D Saggioro, V Zagonel

ABSTRACT

So far, no reliable predictive clinicopathological markers of response to aromatase inhibitors (AIs) have been identified, and little is known regarding the role played by host genetics. To identify constitutive predictive markers, an array-based association study was performed in a cohort of 55 elderly hormone-dependent breast cancer (BC) patients treated with third-generation AIs. The array used in this study interrogates variants in 225 drug metabolism and disposition genes with documented functional significance. Six variants emerged as associated with response to AIs: three located in ABCG1, UGT2A1, SLCO3A1 with a good response, two in SLCO3A1 and one in ABCC4 with a poor response. Variants in the AI target CYP19A1 resulted associated with a favourable response only as haplotype; haplotypes with increased response association were also detected for ABCG1 and SLCO3A1. These results highlight the relevance of host genetics in the response to AIs and represent a first step toward precision medicine for elderly BC patients. More... »

PAGES

525-529

Journal

TITLE

The Pharmacogenomics Journal

ISSUE

6

VOLUME

16

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/tpj.2015.73

DOI

http://dx.doi.org/10.1038/tpj.2015.73

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036750212

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26503812


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45 schema:description So far, no reliable predictive clinicopathological markers of response to aromatase inhibitors (AIs) have been identified, and little is known regarding the role played by host genetics. To identify constitutive predictive markers, an array-based association study was performed in a cohort of 55 elderly hormone-dependent breast cancer (BC) patients treated with third-generation AIs. The array used in this study interrogates variants in 225 drug metabolism and disposition genes with documented functional significance. Six variants emerged as associated with response to AIs: three located in ABCG1, UGT2A1, SLCO3A1 with a good response, two in SLCO3A1 and one in ABCC4 with a poor response. Variants in the AI target CYP19A1 resulted associated with a favourable response only as haplotype; haplotypes with increased response association were also detected for ABCG1 and SLCO3A1. These results highlight the relevance of host genetics in the response to AIs and represent a first step toward precision medicine for elderly BC patients.
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55 AI target CYP19A1
56 BC patients
57 CYP19A1
58 SLCO3A1
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60 aromatase inhibitors
61 array
62 array-based association study
63 array-based pharmacogenetic study
64 association
65 association studies
66 breast cancer
67 breast cancer patients
68 cancer
69 cancer patients
70 clinicopathological markers
71 cohort
72 constitutive predictive markers
73 disposition genes
74 drug metabolism
75 elderly BC patients
76 elderly hormone-dependent breast cancer (BC) patients
77 elderly patients
78 estrogen receptor-positive breast cancer
79 favorable response
80 first step
81 functional significance
82 genes
83 genetics
84 good response
85 haplotypes
86 hormone-dependent breast cancer (BC) patients
87 host genetics
88 inhibitors
89 markers
90 medicine
91 metabolism
92 patients
93 pharmacogenetic studies
94 poor response
95 precision medicine
96 predictive clinicopathological markers
97 predictive marker
98 receptor-positive breast cancer
99 relevance
100 reliable predictive clinicopathological markers
101 response
102 response association
103 results
104 role
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