Evidence map›Paper›PMID 25374919›Full record

ReviewAmerican journal of clinical and experimental urology2014

Estrogen receptors in prostate development and cancer.

Chiuan-Ren Yeh, Jun Da, Wenbin Song, Anees Fazili, Shuyuan Yeh

Open access · greenAbstract readReview
In one paragraph

Review in American journal of clinical and experimental urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Estrogens and prostate cancer.Prostate cancer and prostatic diseases · 2019
    Review
  9. Article
  10. Article
  11. 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

5 authors at 1 institution in 1 country.

Chiuan-Ren YehDepartment of Urology, University of Rochester Medical Center Rochester, NY 14642.
Jun DaDepartment of Urology, University of Rochester Medical Center Rochester, NY 14642.
Wenbin SongDepartment of Urology, University of Rochester Medical Center Rochester, NY 14642.
Anees FaziliDepartment of Urology, University of Rochester Medical Center Rochester, NY 14642.
Shuyuan YehDepartment of Urology, University of Rochester Medical Center Rochester, NY 14642.
University of Rochester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is an androgen-sensitive disease, which can be pharmacologically controlled by androgen blockade. To date, a growing body of evidence showed that estrogen and estrogen receptors (ERs) could regulate prostate development, as well as cancer initiation and progression. This review will address the expression levels and function of ERs in different stages of PCa progression. The functions of ERs in different types of prostate cells, the ligand effect, and the potential applications of selective estrogen modulators (SERMs) will also be discussed. To further dissect ERs' roles in prostate development, cell type specific ER knockout mouse models were generated. Results collected from the prostate cell type-specific ERαKO mouse models provided new insights about the cell type specific ERα roles in prostate development prenatally and postnatally. The results of ERs' roles in mouse PCa mode and the correlation of ERs expression and biomedical outcome will also be discussed.

Indexed as

environment estrogenEstrogen receptorprostate cancerSERMtissue specific ERα knockout mouse

Identifiers

PMID25374919
PMCPMC4219301
OpenAlexW190869976

What OpenQuestion 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 OpenQuestion graph.