Evidence map›Paper›PMID 32581567›Full record

ArticlePharmacogenomics and personalized medicine2020

Association Between CYP17A1, CYB5A Polymorphisms and Efficacy of Abiraterone Acetate/Prednisone Treatment in Castration-Resistant Prostate Cancer Patients.

Xiang Wu, Qing-Jiang Xu, Ping-Zhou Chen, Chen-Bo Yu, Lie-Fu Ye, Tao Li

Open access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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  7. Review
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 2 institutions in 1 country.

Xiang WuProvincial Clinical Medical College of Fujian Medical University, Fuzhou, 350001, People's Republic of China.
Qing-Jiang XuProvincial Clinical Medical College of Fujian Medical University, Fuzhou, 350001, People's Republic of China.
Ping-Zhou ChenProvincial Clinical Medical College of Fujian Medical University, Fuzhou, 350001, People's Republic of China.
Chen-Bo YuProvincial Clinical Medical College of Fujian Medical University, Fuzhou, 350001, People's Republic of China.
Lie-Fu YeProvincial Clinical Medical College of Fujian Medical University, Fuzhou, 350001, People's Republic of China.
Tao LiProvincial Clinical Medical College of Fujian Medical University, Fuzhou, 350001, People's Republic of China.
Fujian Provincial People's Hospital · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate the association between single nucleotide polymorphisms (SNPs) of CYP17A1, CYB5A and the efficacy of abiraterone acetate treatment in patients with castration-resistant prostate cancer (CRPC). PATIENTS AND

methodsData were collected from 58 CRPC patients who had been treated with abiraterone acetate/prednisone (AA/P). The SNPs rs743572 and rs10883783 on CYP17A1 and SNPs rs1790834 and rs1790858 on CYB5A were assayed, and their relationship with prostate-specific antigen (PSA) response in patients after AA/P treatment, overall survival (OS) and progression-free survival (PFS) were analyzed by logistic regression, Cox regression, Kaplan-Meier and Log rank analyses.

resultsThe SNP rs1790834 on CYB5A showed significant association with PSA response in CRPC patients treated with AA/P (

conclusionThe CYB5A rs790834 genotype is a novel SNP related to CRPC and may be used as a biomarker for CRPC treatment.

Indexed as

abirateroneandrogenscastration-resistant prostate cancerCYB5ACYP17A1

Identifiers

PMID32581567
PMCPMC7280245
OpenAlexW3033840807

What OpenQuestion holds

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Registered trials

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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.