Evidence map›Paper›PMID 26337277›Full record

ReviewTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

Role of ER-α36 in breast cancer by typical xenoestrogens.

Jun Liu, Zhixiang Xu, Xiaodong Ma, Bin Huang, Xuejun Pan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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.

Jun LiuFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China.
Zhixiang XuFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China.
Xiaodong MaFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China.
Bin HuangFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China.
Xuejun PanFaculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan, 650500, China. xjpan@kmust.edu.cn.
Kunming University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About 10 years have passed since the discovery of the estrogen receptor subtype, estrogen receptor alpha 36 (ER-α36). The relationship between cancerous cells and ER-α36 in mediating xenoestrogens (XEs) is a significant issue in the progression and treatment of breast cancer. XEs can combine with classical estrogen receptors and other receptor subtypes especially ER-α36, resulting in activation of nongenomic pathways as well as genomic pathways. Recently, most laboratories have focused on further study into the rapidly nongenomic mechanisms by overexpressing or knocking down ER-α36 in breast cancer cell lines. These rapid responses can induce the deregulation of cell cycle, and then lead to the abnormal proliferation and differentiation by regulating distinct downstream pathways. It appears that ER-α36 is a key factor in increasing risk of breast cancer. However, in several recent studies, the action mechanisms of ER-α36 by XEs in breast cancer cell lines are not always clear. In this review, we firstly summarize the expression pattern and tumor biology of ER-α36, then discuss these related estrogenic effects of ER-α36, and lastly give the predictive and prognostic value of ER-α36 as diagnostic marker by mediating typical XEs in breast cancer.

Indexed as

AnimalsBreast NeoplasmsEstrogen Receptor alphaEstrogensFemaleHumansEstrogen Receptor alphaEstrogensBreast cancerER-α36Estrogenic effectsPredictive and prognostic valueXenoestrogens

Identifiers

PMID26337277
OpenAlexW1803702762

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.