Evidence map›Paper›PMID 28580371›Full record

ArticleCancer cell & microenvironment2015

Kinase modulation of androgen receptor signaling: implications for prostate cancer.

Kalpit Shah, Neil A Bradbury

Open access · bronzeAbstract read
In one paragraph

Article in Cancer cell & microenvironment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Lemur Tyrosine Kinases and Prostate Cancer: A Literature Review.International journal of molecular sciences · 2021
    Review
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  7. Review
  8. Article
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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

2 authors at 1 institution in 1 country.

Kalpit ShahDepartment of Physiology and Biophysics, The Chicago Medical School, Rosalind Franklin University of Medicine & Sciences, North Chicago, IL, 60064, USA.
Neil A BradburyDepartment of Physiology and Biophysics, The Chicago Medical School, Rosalind Franklin University of Medicine & Sciences, North Chicago, IL, 60064, USA.
Rosalind Franklin University of Medicine and Science · US

Funding

Role of LMTK2 in CFTR TraffickingR01HL102208 · NHLBI · ROSALIND FRANKLIN UNIV OF MEDICINE & SCI · PI BRADBURY, NEIL A · 2011 to 2014
$1.5M
NHLBI NIH HHS R01 HL102208
6 · The paper itself

Abstract

Androgens and androgen receptors play essential roles in the development and progression of prostate cancer, a disease that claims roughly 28,000 lives annually. In addition to androgen biding, androgen receptor activity can be regulated via several post-translational modifications such as ubiquitination, acetylation, phosphorylation, methylation & SUMO-ylation. Off these modifications, phosphorylation has been the most extensively studied. Modification by phosphorylation can alter androgen receptor localization, protein stability and transcriptional activity, ultimately leading to changes in the biology of cancer cells and cancer progression. Understanding, role of phosphorylated androgen receptor species holds the key to identifying a potential therapeutic drug target for patients with prostate cancer and castrate resistant prostate cancer. Here, we present a brief review of recently discovered protein kinases phosphorylating AR, focusing on the functional role of phosphorylated androgen receptor species in prostate cancer and castrate resistant prostate cancer.

Indexed as

Androgen ReceptorCastrate Resistant Prostate CancerKinasesLMTK2LynMAPKProstate CancerSignaling

Identifiers

PMID28580371
PMCPMC5455992
OpenAlexW1789132408

What OpenQuestion holds

Textmetadata
LicenceTDM
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.