Evidence map›Paper›PMID 32270286›Full record

ReviewJournal of cancer research and clinical oncology2020

Pharmacogenomics of breast cancer: highlighting CYP2D6 and tamoxifen.

Carmen W H Chan, Bernard M H Law, Winnie K W So, Ka Ming Chow, Mary M Y Waye

Open access · greenAbstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Influence of CYP2D6 polymorphisms on tamoxifen side effects in patients with breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  11. A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis.Archives of computational methods in engineering : state of the art reviews · 2022
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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

5 authors at 1 institution in 1 country.

Carmen W H ChanThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, 6/F Esther Lee Building, Hong Kong, China.ORCID http://orcid.org/0000-0003-0696-2369
Bernard M H LawThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, 6/F Esther Lee Building, Hong Kong, China.ORCID http://orcid.org/0000-0001-9571-6893
Winnie K W SoThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, 6/F Esther Lee Building, Hong Kong, China.ORCID http://orcid.org/0000-0001-9243-2924
Ka Ming ChowThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, 6/F Esther Lee Building, Hong Kong, China.ORCID http://orcid.org/0000-0002-7442-5197
Mary M Y WayeThe Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, 6/F Esther Lee Building, Hong Kong, China. mary-waye@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-2582-4917
Chinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo review recent pharmacogenomics studies on breast cancer patients undergoing tamoxifen therapy, highlighting how our knowledge on cytochrome P450 2D6 (CYP2D6) can help to guide the development of adjuvant therapies for these patients.

methodsA comprehensive literature search was conducted. Articles reporting findings pertaining to the effect of CYP2D6 on the therapeutic efficacy of tamoxifen, those reporting how targeting CYP2D6 could inform tamoxifen-based therapy development, and those on the tamoxifen effects on cell lines and animal models were included in the review.

resultsWith CYP2D6 being the primary enzyme for tamoxifen metabolism, single-nucleotide polymorphisms (SNPs) in this gene were one of the determinants in the rate of tamoxifen metabolism, thereby potentially having an effect on the efficacy of tamoxifen-based therapies. Our review indicates the potential effectiveness of targeting these SNPs, including those for the CYP2D6*10 allele (c. 100C > T), in modifying the level of tamoxifen metabolism. These findings suggest the importance of pharmacogenomics research in our understanding of the efficacy of adjuvant therapies. However, the involvement of multiple enzymes in tamoxifen metabolism, dietary factors, ethnic differences in gene frequencies, and patients' compliance to tamoxifen therapies in studies do present challenges in pharmacogenomics research.

conclusionsPharmacogenomics could play important roles in mediating the advancement of tamoxifen-based adjuvant therapies. Research efforts should be directed towards the exploration of further SNPs of CYP2D6 that affect tamoxifen metabolism, as well as epigenetic changes in CYP2D6, enabling the design of precision medicine and confirming clinical validity in the use of pharmacogenomics for tamoxifen.

Indexed as

PharmacogeneticsAnimalsAntineoplastic Agents, HormonalBreast NeoplasmsCytochrome P-450 CYP2D6FemaleHumansPolymorphism, Single NucleotideTamoxifenTreatment OutcomeAntineoplastic Agents, HormonalCytochrome P-450 CYP2D6TamoxifenBreast cancerCYP2D6PharmacogenomicsTamoxifen

Identifiers

PMID32270286
PMCPMC11804387
OpenAlexW3015214780

What Socratic holds

Textmetadata
Read underepoch 390

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.