Evidence map›Paper›PMID 40050768›Full record

ArticleBMC cancer2025

CYP2D6 polymorphisms and endoxifen concentration in Chinese patients with breast cancer.

Cong Xue, Wei Yang, Anqi Hu, Caiyun He, Hai Liao, Meiting Chen, Xin An, Shusen Wang, Zhongyu Yuan, Fei Xu and 5 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Genes · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Cong Xue *Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China.
Wei Yang *Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China.
Anqi Hu *Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China.
Caiyun HeDepartment of Molecular Diagnosis, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China.
Hai LiaoDepartment of Clinical Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China.
Meiting ChenDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China.
Xin AnDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China.
Shusen WangDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China.
Zhongyu YuanDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China.
Fei XuDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China.
Jun TangDepartment of Breast Cancer, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China.
Haifeng LiDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China.
Su LiDepartment of Clinical Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China.
Jianyong ShaoDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China. shaojianyong@targene.cn.
Yanxia ShiDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 651# Dongfeng Road East, Guangzhou, 510060, P. R. China. shiyx@sysucc.org.cn.

Funding

National Key Research and Development Program of China 2021YFE0206300National Natural Science Foundation of China 81702676, 81773279, 82073391Science and Technology Planning Project of Guangdong Province 2016A050502015, 2013B021800062 and 2012B061700082The Science and Technology Development Fund, Macau SAR 0011/2019/AKPYoung Teacher Foundation of Sun Yat-Sen University 17ykzd33
6 · The paper itself

Abstract

backgroundThe plasma concentration of endoxifen, the active metabolite of tamoxifen, might be affected by different CYP2D6 genotypes in patients with breast cancer, but solid evidence is still lacking in Asian patients. This prospective study aimed to investigate the relationship between CYP2D6 genetic polymorphisms and endoxifen plasma concentrations among Chinese patients with breast cancer treated with tamoxifen.

methodsFrom August 2015 to June 2018, 110 patients with breast cancer were enrolled. CYP2D6 variant alleles and endoxifen plasma concentration were determined using Sanger sequencing and high-performance liquid chromatography-tandem mass spectrometry, respectively.

resultsThe most frequent allele of CYP2D6 was *10 (56.4%). The most frequent genotype of CYP2D6 was *10/*10 (33%), *1/*10(28.2%) and *2/*10(14.5%). Sixty-four patients (58.2%) were Normal Metabolizers (NM), while 46 (41.8%) were Intermediate Metabolizers (IM). All patients except two had endoxifen concentrations above the threshold of 5.9ng/ml. The median endoxifen plasma concentrations for patients with CYP2D6 genotypes *1/*2 and *1/10 were higher compared to other genotypes (p = 0.012). The median endoxifen plasma concentration was higher in NM than in IM (18ng/ml vs. 13ng/ml, p = 0.0077). Patients with CYP2D6*10(T/T) had lower endoxifen concentrations than those with *10(C/T) and *10(C/C) but the difference was not significant. There were no significant differences in adverse events between patients in the NM and IM groups or between patients with the CYP2D6*10 (T/T) genotype and non-*10 (T/T) genotype.

conclusionOnly CYP2D6 IMs and NMs were identified in this study. Almost all patients had the endoxifen concentrations above the threshold. The endoxifen plasma concentration was lower in CYP2D6 IMs than in NMs, but these variants did not compromise the adverse effects of tamoxifen in Asian patients with breast cancer.

trial registrationThe study protocol was approved by the institutional review boards of Sun YatSen University Cancer Center (Ethics approval number, B201506501,20160115).

Indexed as

Antineoplastic Agents, HormonalBreast NeoplasmsCytochrome P-450 CYP2D6Polymorphism, GeneticTamoxifenAdultAgedAllelesChinaEast Asian PeopleFemaleGenotypeHumansMiddle AgedProspective Studies4-hydroxy-N-desmethyltamoxifenAntineoplastic Agents, HormonalCytochrome P-450 CYP2D6TamoxifenBreast cancerCYP2D6EndoxifenPlasma concentrationTamoxifen

Identifiers

PMID40050768
PMCPMC11887348

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.