Evidence map›Paper›PMID 29682196›Full record

ArticleOncotarget2018

Testosterone metabolites inhibit proliferation of castration- and therapy-resistant prostate cancer.

Felix Bremmer, Hubertus Jarry, Valerie Unterkircher, Silke Kaulfuss, Peter Burfeind, Heinz-Joachim Radzun, Philipp Ströbel, Paul Thelen

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Felix BremmerInstitute of Pathology, University Medical Center, Göttingen 37075, Germany.
Hubertus JarryDepartment of Experimental Endocrinology, University Medical Center, Göttingen 37075, Germany.
Valerie UnterkircherInstitute of Pathology, University Medical Center, Göttingen 37075, Germany.
Silke KaulfussInstitute of Human Genetics, University Medical Center, Göttingen 37073, Germany.
Peter BurfeindInstitute of Human Genetics, University Medical Center, Göttingen 37073, Germany.
Heinz-Joachim RadzunInstitute of Pathology, University Medical Center, Göttingen 37075, Germany.
Philipp StröbelInstitute of Pathology, University Medical Center, Göttingen 37075, Germany.
Paul ThelenDepartment of Urology, University Medical Center, Göttingen 37075, Germany.
Universitätsmedizin Göttingen · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel treatments for castration-resistant prostate cancer (CRPC) such as abiraterone acetate (AA) or enzalutamide effectively target the androgen pathway to arrest aberrant signalling and cell proliferation. Testosterone is able to inhibit tumour cell growth in CRPC. Estrogen receptor-beta (ERβ) binds the testosterone-metabolites 3β-androstanediol and 3α-androstanediol in parallel to the canonical estradiol. In the prostate it is widely accepted that ERβ regulates estrogen signalling, mediating anti-proliferative effects. We used the prostate cancer cell lines LNCaP, PC-3, VCaP, and the non-neoplastic BPH-1. VCaP cells were treated with 1 nmol/L testosterone over 20 passages, yielding the cell line VCaPrev, sensitive to hormone therapies. In contrast, LNCaP cells were grown for more than 100 passages yielding a high passage therapy resistant cell line (

Indexed as

3a-androstendiol3b-androstendiolAKR1C1AKR1C2 and AKR1C3castration resistant prostate cancer

Identifiers

PMID29682196
PMCPMC5908297
OpenAlexW2794605408

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.