Evidence map›Paper›PMID 27259243›Full record

ArticleOncotarget2016

Estrogen receptor alpha inhibits senescence-like phenotype and facilitates transformation induced by oncogenic ras in human mammary epithelial cells.

Zhao Liu, Long Wang, Junhua Yang, Abhik Bandyopadhyay, Virginia Kaklamani, Shui Wang, Lu-Zhe Sun

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. 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
1.0field-weighted citation impact, top 23% 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, 20 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. In vitro study to identify ligand-independent function of estrogen receptor-α in suppressing DNA damage-induced chondrocyte senescence.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Inhibition of Estrogen Signaling Reduces the Incidence ofInternational journal of biological sciences · 2018
    Article
  14. Review
  15. 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

7 authors at 2 institutions in 2 countries.

Zhao LiuDepartment of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Long WangDepartment of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, Texas, United States of America.
Junhua YangDepartment of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, Texas, United States of America.
Abhik BandyopadhyayDepartment of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, Texas, United States of America.
Virginia KaklamaniCancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, Texas, United States of America.
Shui WangDepartment of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lu-Zhe SunDepartment of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, Texas, United States of America.
The University of Texas Health Science Center at San Antonio · USNanjing Medical University · CN

Funding

TISSUE CULTURE---COREP30CA054174 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Lei Zheng · 1991 to 2026
$59.1M
Targeting transforming growth factor beta for cancer treatmentR01CA075253 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SUN, LUZHE · 1997 to 2011
$2.4M
Aging mammary stem cells and breast cancer preventionR01CA192564 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SUN, LUZHE · 2015 to 2019
$2.0M
NCI NIH HHS P30 CA054174NCI NIH HHS R01 CA075253NCI NIH HHS R01 CA192564
6 · The paper itself

Abstract

Exposure to estrogen has long been associated with an increased risk of developing breast cancer. However, how estrogen signaling promotes breast carcinogenesis remains elusive. Senescence is known as an important protective response to oncogenic events. We aimed to elucidate the role of estrogen receptor alpha (ERα) on senescence in transformed human mammary epithelial cells and breast cancer cells. Our results show that ectopic expression of oncoprotein H-ras-V12 in immortalized human mammary epithelial cells (HMEC) significantly inhibited the phosphorylation of the retinoblastoma protein (Rb) and increased the activity of the senescence-associated beta-galactosidase (SA-β-Gal). These senescence-like phenotypes were reversed by ectopic expression of ERα. Similar inhibition of the H-ras-V12-induced SA-β-Gal activity by ERα was also observed in the human mammary epithelial MCF-10A cells. Co-expression of ERα and H-ras-V12 resulted in HMEC anchorage-independent growth in vitro and tumor formation in vivo. Furthermore, inhibition of ERα expression induced senescence-like phenotypes in ERα positive human breast cancer cells such as increased activity of SA-β-Gal, decreased phosphorylation of RB, and loss of mitogenic activity. Thus, the suppression of cellular senescence induced by oncogenic signals may be a major mechanism by which ERα promotes breast carcinogenesis.

Indexed as

Cell Transformation, NeoplasticCellular SenescenceAnimalsBreastBreast NeoplasmsCarcinogenesisCell Line, TumorCell ProliferationDNAEpithelial CellsEstrogen Receptor alphaEstrogensFemaleHumansMiceMice, NudeDNAESR1 protein, humanEstrogen Receptor alphaEstrogensHRAS protein, humanHras protein, mouseProto-Oncogene Proteins p21(ras)estrogen receptor alphaGerotargetrassenescencetransformation

Identifiers

PMID27259243
PMCPMC5129916
OpenAlexW2419302768

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.