Effect of CYP2C19 genotypes on tamoxifen metabolism and early-breast cancer relapse Article Swipe
Anabel Sanchez‐Spitman
,
Jesse J. Swen
,
Vincent O. Dezentjé
,
Dirk Jan A. R. Moes
,
Hans Gelderblom
,
Henk‐Jan Guchelaar
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-020-79972-x
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-020-79972-x
CYP2C19*2 and CYP2C19*17 might influence tamoxifen metabolism and clinical outcome. Our aim was to investigate the effect of CYP2C19 genotypes on tamoxifen concentrations and metabolic ratios (MRs) and breast cancer recurrence in a large cohort of Caucasian women . Genetic variants ( CYP2D6 and CYP2C19 genotypes), tamoxifen and metabolites concentrations, baseline characteristics, and breast cancer recurrence from the CYPTAM study (NTR1509) were used. CYP2C19*2 and CYP2C19*17 genotypes were evaluated as alleles and as groups based on CYP2D6 genotypes (high, intermediate and low activity). Log-rank test and Kaplan–Meier analysis were used to evaluate differences in recurrence defined as relapse-free survival (RFS). Classification tree analyses (CTAs) were conducted to assess the levels of interactions per polymorphism ( CYP2D6 and CYP2C19 genotypes) on endoxifen concentrations. No differences in mean concentrations and MRs were observed when comparing CYP2C19 genotypes ( CYP2C19*1/*1 ; CYP2C19*1/*2 ; CYP2C19*2/*2 ; CYP2C19*1/*17 ; CYP2C19*17/*17 ; CYP2C19*2/*17 ). Only significant differences ( p value < 0.05) in mean concentrations and MRs were observed when comparing tamoxifen activity groups (high, intermediate and low activity). A log-rank test did not find an association across CYP2C19 genotypes ( p value 0.898). CTAs showed a significant relationship between CYP2D6 and endoxifen ( p value < 0.0001), but no association with CYP2C19 genotypes was found. CYP2C19 polymorphisms do not have a significant impact on tamoxifen metabolism or breast cancer relapse.
Related Topics
Concepts
CYP2C19
Genotype
Tamoxifen
Breast cancer
CYP2D6
Internal medicine
Oncology
Pharmacology
Allele
Biology
Medicine
Cancer
Endocrinology
Genetics
Gene
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-020-79972-x
- https://www.nature.com/articles/s41598-020-79972-x.pdf
- OA Status
- gold
- Cited By
- 15
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3120898150
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3120898150Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-020-79972-xDigital Object Identifier
- Title
-
Effect of CYP2C19 genotypes on tamoxifen metabolism and early-breast cancer relapseWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-11Full publication date if available
- Authors
-
Anabel Sanchez‐Spitman, Jesse J. Swen, Vincent O. Dezentjé, Dirk Jan A. R. Moes, Hans Gelderblom, Henk‐Jan GuchelaarList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-020-79972-xPublisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-020-79972-x.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-020-79972-x.pdfDirect OA link when available
- Concepts
-
CYP2C19, Genotype, Tamoxifen, Breast cancer, CYP2D6, Internal medicine, Oncology, Pharmacology, Allele, Biology, Medicine, Cancer, Endocrinology, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2, 2023: 5, 2022: 4, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.variants | 41 |
| abstract_inverted_index.(NTR1509) | 61 |
| abstract_inverted_index.CYP2C19*2 | 1, 64 |
| abstract_inverted_index.Caucasian | 37 |
| abstract_inverted_index.comparing | 133, 165 |
| abstract_inverted_index.conducted | 106 |
| abstract_inverted_index.endoxifen | 121, 197 |
| abstract_inverted_index.evaluated | 69 |
| abstract_inverted_index.genotypes | 20, 67, 78, 135, 184, 208 |
| abstract_inverted_index.influence | 5 |
| abstract_inverted_index.metabolic | 25 |
| abstract_inverted_index.tamoxifen | 6, 22, 47, 166, 220 |
| abstract_inverted_index.CYP2C19*17 | 3, 66 |
| abstract_inverted_index.activity). | 83, 173 |
| abstract_inverted_index.genotypes) | 119 |
| abstract_inverted_index.metabolism | 7, 221 |
| abstract_inverted_index.recurrence | 31, 56, 95 |
| abstract_inverted_index.association | 181, 205 |
| abstract_inverted_index.differences | 93, 124, 151 |
| abstract_inverted_index.genotypes), | 46 |
| abstract_inverted_index.investigate | 15 |
| abstract_inverted_index.metabolites | 49 |
| abstract_inverted_index.significant | 150, 192, 217 |
| abstract_inverted_index.CYP2C19*1/*1 | 137 |
| abstract_inverted_index.CYP2C19*1/*2 | 139 |
| abstract_inverted_index.CYP2C19*2/*2 | 141 |
| abstract_inverted_index.interactions | 112 |
| abstract_inverted_index.intermediate | 80, 170 |
| abstract_inverted_index.polymorphism | 114 |
| abstract_inverted_index.relapse-free | 98 |
| abstract_inverted_index.relationship | 193 |
| abstract_inverted_index.CYP2C19*1/*17 | 143 |
| abstract_inverted_index.CYP2C19*2/*17 | 147 |
| abstract_inverted_index.polymorphisms | 212 |
| abstract_inverted_index.CYP2C19*17/*17 | 145 |
| abstract_inverted_index.Classification | 101 |
| abstract_inverted_index.Kaplan–Meier | 87 |
| abstract_inverted_index.concentrations | 23, 127, 159 |
| abstract_inverted_index.concentrations, | 50 |
| abstract_inverted_index.concentrations. | 122 |
| abstract_inverted_index.characteristics, | 52 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 93 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8399999737739563 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.8643095 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |