Evidence map›Paper›PMID 27835038›Full record

ReviewEndocrinology2016

Family Matters: Collaboration and Conflict Among the Steroid Receptors Raises a Need for Group Therapy.

Matthew J Sikora

Open access · bronzeAbstract readReview
In one paragraph

Review in Endocrinology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-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

9 citing papers in PubMed, 20 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

1 author at 1 institution in 1 country.

Matthew J SikoraDepartment of Pathology, University of Colorado Denver | Anschutz Medical Campus, Aurora, Colorado 80045.
University of Colorado Denver · US

Funding

WNT4 IN ENDOCRINE RESPONSE AND RESISTANCE IN INVASIVE LOBULAR CARCINOMAR00CA193734 · NCI · UNIVERSITY OF COLORADO DENVER · PI SIKORA, MATTHEW J · 2017 to 2019
$703k
NCI NIH HHS R00 CA193734
6 · The paper itself

Abstract

Antiestrogen therapies targeting the function of estrogen receptor (ER) have been the cornerstone of therapy for ER+ breast cancer for decades. However, as long as these therapies have been in use, it has also been evident that response to antiestrogen therapy is not based solely on ER expression but that other factors modify breast cancer antiestrogen response. Such factors may include ER's relatives in the steroid hormone receptor (HR) family, androgen receptor (AR), progesterone receptor (PR), glucocorticoid receptor (GR), and mineralocorticoid receptor (MR). A series of recent studies has demonstrated that these HRs are not bystanders in ER signaling but rather can alter ER genomic binding and subsequent control of target gene expression. For example, PR and GR may "reprogram" ER binding to DNA toward PR/GR sites; androgen receptor may reverse ER gene regulation functions or regulate ER DNA binding. Accordingly, modulation of HR function concurrently with antiestrogen therapy can either improve antiestrogen response or mediate antiestrogen resistance. This highlights the critical need to better understand how other HRs influence ER function, in particular in the context of antiestrogen therapy. This review discusses recent insights into the mechanisms by which HRs can modify ER function and antiestrogen response, as well as pharmacological implications for antiestrogen therapies and potential combined endocrine therapies.

Indexed as

AnimalsHumansProtein BindingReceptors, AndrogenReceptors, EstrogenReceptors, GlucocorticoidReceptors, MineralocorticoidReceptors, ProgesteroneReceptors, AndrogenReceptors, EstrogenReceptors, GlucocorticoidReceptors, MineralocorticoidReceptors, Progesterone

Identifiers

PMID27835038
PMCPMC5133350
OpenAlexW2549583312

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.