Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

E-Poster Display

199P - Relation between CYP2D6 polymorphisms and survival in breast cancer treated with tamoxifen

Date

17 Sep 2020

Session

E-Poster Display

Topics

Tumour Site

Breast Cancer

Presenters

Silvia Rubio Novella

Citation

Annals of Oncology (2020) 31 (suppl_4): S303-S339. 10.1016/annonc/annonc267

Authors

S. Rubio Novella1, M.I. Blancas López-Barajas2, E. Ochoa1, C. Herrero Vicent1, S. Olmos1, E. Martinez Dueñas1

Author affiliations

  • 1 Medical Oncology, Hospital Provincial Castellon, 12002 - Castellón/ES
  • 2 Medical Oncology Department, Hospital Clínico San Cecilio,, 18016 - Granada/ES

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 199P

Background

Tamoxifen plays a key role in the management of hormone receptor positive breast cancer patients. This pro-drug is converted into endoxifen by the cytochrome CYP2D6. CYP2D6's catalytic activity rate varies depending on its genetic polymorphisms. Several reports in the literature indicate that there are different CYP2D6 activity phenotypes that may influence tamofixen's efficacy. The aim of our work is to retrospectively analyse the effect of CYP2D6 genetic polymorphisms on clinical parameters such as disease free or overall survival rates in adjuvant tamoxifen-treated patients.

Methods

Serum samples from 219 female patients were collected and DNA was purified by using QIAcubeR kit (Qiagen). Then genetic polymorphisms were obtained upon matrix hibridation and massively sequenced by using AmpliChip CYP450R platform (Roche Molecular Systems, Inc.). The phenotypes were obtained using a prediction software. Correlation between metabolic rates and survival variables was further analysed through statistical tools such as Cox model and Kaplan-Meier method.

Results

The 219 patients were grouped as follows: 2.3% ultra-rapid, 78.5% efficient, 13.20% medium, and 6% poor metabolizers. Neither the different CYP2D6 metabolic phenotypes nor CYPD26 activity score, showed an impact over disease free and overall survival rates. The table below presents the effect of the phenotypes (UR ultra-rapid, EF efficient, IM intermediate, LE slow) and activity scores (AS) over overall survival using Kaplan-Meier estimation. Activity score: each allele is given a punctuation (0/0.5/1/2/3) and are finally grouped as follows: AS <1,5 or AS>=1,5. Table: 199P

Variable Median Survival (months) IC (95%) p-value
CYP2D6 phenotype (n = 213) 0,727
UR 137,4 115,311 - 159,489
EF 141,272 137,575 - 144,968
IM 145,556 137,007 - 154,104
LE 139,083 118,598 - 159,569
Activity Score (n=213) 0,269
AS<1,5 143,063 137,946 - 148,181
AS > = 1,5 140,417 135,874 - 144,959

Conclusions

Our study shows that CYP2D6 metabolic status has no impact in relapse variants (overall and disease free survival) in breast cancer patients treated with adjuvant tamoxifen, in agreement with previous reports on this subject.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.