Evidence map›Paper›PMID 32080081›Full record

ArticleMedicine2020

Tamoxifen-related endocrine symptoms in Chinese patients with breast cancer: Study protocol clinical trial (SPIRIT Compliant).

Carmen Wing Han Chan, Christine Miaskowski, Alexandra McCarthy, Mary Miu Yee Waye, Winnie Yeo, Winnie Kwok Wai So, Kai Chow Choi, Stephen Kwok Wing Tsui, Judy Yuet Wa Chan

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 3 countries.

Carmen Wing Han ChanThe Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong.
Christine MiaskowskiSchool of Nursing, University of California, San Francisco, CA.
Alexandra McCarthySchool of Nursing, Midwifery and Social Work, University of Queensland, Queensland, Australia.
Mary Miu Yee WayeThe Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong.
Winnie YeoDepartment of Clinical Oncology.
Winnie Kwok Wai SoThe Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong.
Kai Chow ChoiThe Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong.
Stephen Kwok Wing TsuiSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong.
Judy Yuet Wa ChanThe Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong.
Chinese University of Hong Kong · CNUniversity of California, San Francisco · USUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is the most prevalent cancer in females and disease recurrence remains a significant problem. To prevent recurrence, tamoxifen is prescribed for at least 5 years. However, among patients who receive tamoxifen, individual responses are highly variable. These responses are affected by the type, frequency, and severity of endocrine symptoms, as well as adherence rates. Polymorphisms in genes involved in the metabolism of tamoxifen (ie, CYP3A4, CYP2D6) may influence responses to tamoxifen. In this study, the inter-relationships among endocrine symptoms, drug adherence, and genetic polymorphisms in Chinese breast cancer patients receiving tamoxifen therapy will be examined. We hypothesize that patients with more severe endocrine symptoms will be less likely to adhere to tamoxifen treatment. In addition, we hypothesize that a relationship will exist between the severity of tamoxifen-induced symptoms and allelic variations in tamoxifen metabolism-related genes. Although many association studies have determined that select genotypes influence the efficacy of tamoxifen, very few studies have investigated for associations between tamoxifen-induced endocrine symptoms and these polymorphisms.

objectivesThe aim of this study was to characterize genetic polymorphisms in tamoxifen metabolism-associated genes in Chinese women with breast cancer and to explore the inter-relationships between genetic polymorphisms, endocrine symptoms, and adherence to tamoxifen.

methodWe will conduct a prospective cohort study that follows 200 Chinese women over 18 months and assess treatment-related symptoms and genetic variations. Endocrine symptoms and drug adherence will be determined through interview-administered standardized questionnaires. Polymorphisms in drug metabolism genes will be determined using real-time polymerase chain reaction based genotyping method. Data will be analyzed to determine associations between allelic variations, endocrine symptoms, and adherence. DISCUSSION: The proposed study will evaluate for polymorphisms in gene(s) that are associated with tamoxifen-related endocrine symptoms and adherence with tamoxifen. We will explore the relationships between genotypes, endocrine symptoms, and drug adherence in Chinese breast cancer patients. Findings from this study may assist clinicians to identify patients at higher risk for a worse symptom experience and lower adherence rates and enable them to initiate appropriate interventions. In the long term, the findings from this study may be used to develop and test tailored symptom management interventions for these patients.

Indexed as

AllelesAntineoplastic Agents, HormonalAsian PeopleBreast NeoplasmsClinical Trials as TopicCytochrome P-450 CYP2D6Cytochrome P-450 CYP3AEndocrine System DiseasesFemaleGenotypeHumansMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPatient CompliancePolymorphism, Single NucleotideAntineoplastic Agents, HormonalCYP3A4 protein, humanCytochrome P-450 CYP2D6Cytochrome P-450 CYP3ATamoxifen

Identifiers

PMID32080081
PMCPMC7034730
OpenAlexW3006893932

What OpenQuestion holds

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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 OpenQuestion graph.