Evidence map›Paper›PMID 33997443›Full record

ReviewJMA journal2021

Genetic Polymorphisms and Pharmacotherapy for Prostate Cancer.

Masaki Shiota, Shusuke Akamatsu, Shintaro Narita, Naoki Terada, Naohiro Fujimoto, Masatoshi Eto

Open access · diamondAbstract readReview
In one paragraph

Review in JMA journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Genetic variants ofInternational journal of medical sciences · 2025
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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

6 authors at 5 institutions in 1 country.

Masaki ShiotaDepartment of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Shusuke AkamatsuDepartment of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Shintaro NaritaDepartment of Urology, Graduate School of Medicine, Akita University, Akita, Japan.
Naoki TeradaDepartment of Urology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Naohiro FujimotoDepartment of Urology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
Masatoshi EtoDepartment of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kyushu University · JPAkita University · JPKyoto University · JPUniversity of Miyazaki · JPUniversity of Occupational and Environmental Health Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The therapeutic landscape of pharmacotherapy for prostate cancer has dramatically evolved, and multiple therapeutic options have become available for prostate cancer patients. Therefore, useful biomarkers to identify suitable candidates for treatment are required to maximize the efficacy of pharmacotherapy. Genetic polymorphisms such as single-nucleotide polymorphisms (SNPs) and tandem repeats have been shown to influence the therapeutic effects of pharmacotherapy for prostate cancer patients. For example, genetic polymorphisms in the genes involved in androgen receptor signaling are reported to be associated with the therapeutic outcome of androgen-deprivation therapy as well as androgen receptor-pathway inhibitors. In addition, SNPs in genes involved in drug metabolism and efflux pumps are associated with therapeutic effects of taxane chemotherapy. Thus, genetic polymorphisms such as SNPs are promising biomarkers to realize personalized medicine. Here, we overview the current findings on the influence of genetic polymorphisms on the outcome of pharmacotherapy for prostate cancer and discuss current issues as well as future visions in this field.

Indexed as

androgen metabolismandrogen receptorgenetic polymorphismpharmacotherapyprostate cancer

Identifiers

PMID33997443
PMCPMC8119070
OpenAlexW3163041373

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.