Evidence map›Paper›PMID 20015867›Full record

ArticleCarcinogenesis2010

The Bmi-1 polycomb protein antagonizes the (-)-epigallocatechin-3-gallate-dependent suppression of skin cancer cell survival.

Sivaprakasam Balasubramanian, Gautam Adhikary, Richard L Eckert

RetractedOpen access · bronzeAbstract readRetracted Publication
In one paragraph

Article in Carcinogenesis, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 136 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. The Effects of Green Tea Catechins in Hematological Malignancies.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Attenuation of hedgehog/GLI signaling by NT1721 extends survival in pancreatic cancer.Journal of experimental & clinical cancer research : CR · 2019
    Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Sivaprakasam BalasubramanianDepartment of Biochemistry and Molecular Biology, University of Maryland School of Medicine, 108 North Greene Street, Baltimore, MD 21201, USA.
Gautam Adhikary
Richard L Eckert
University of Maryland, Baltimore · US

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Vu H. Duong · 2008 to 2026
$51.0M
Polycomb proteins and skin cancer preventionR01CA131074 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI ECKERT, RICHARD L. · 2008 to 2017
$4.6M
Polycomb genes and keratinocyte functionR01AR053851 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI ECKERT, RICHARD L. · 2008 to 2012
$2.2M
NCI NIH HHS P30 CA134274NCI NIH HHS R01 CA131074NIAMS NIH HHS R01 AR053851
6 · The paper itself

Abstract

The polycomb group (PcG) proteins are epigenetic regulators of gene expression that enhance cell survival. This regulation is achieved via action of two multiprotein PcG complexes--PRC2 (EED) and PRC1 [B-cell-specific Moloney murine leukemia virus integration site 1 (Bmi-1)]. These complexes modulate gene expression by increasing histone methylation and reducing acetylation--leading to a closed chromatin conformation. Activity of these proteins is associated with increased cell proliferation and survival. We show increased expression of key PcG proteins in immortalized keratinocytes and skin cancer cell lines. We examine the role of two key PcG proteins, Bmi-1 and enhancer of zeste homolog 2 (Ezh2), and the impact of the active agent in green tea, (-)-epigallocatechin-3-gallate (EGCG), on the function of these regulators. EGCG treatment of SCC-13 cells reduces Bmi-1 and Ezh2 level and this is associated with reduced cell survival. The reduction in survival is associated with a global reduction in histone H3 lysine 27 trimethylation, a hallmark of PRC2 complex action. This change in PcG protein expression is associated with reduced expression of key proteins that enhance progression through the cell cycle [cyclin-dependent kinase (cdk)1, cdk2, cdk4, cyclin D1, cyclin E, cyclin A and cyclin B1] and increased expression of proteins that inhibit cell cycle progression (p21 and p27). Apoptosis is also enhanced, as evidenced by increased caspase 9, 8 and 3 cleavage and increased poly(adenosine diphosphate ribose) polymerase cleavage. EGCG treatment also increases Bax and suppresses Bcl-xL expression. Vector-mediated enhanced Bmi-1 expression reverses these EGCG-dependent changes. These findings suggest that green tea polyphenols reduce skin tumor cell survival by influencing PcG-mediated epigenetic regulatory mechanisms.

Indexed as

Anticarcinogenic AgentsApoptosisCarcinoma, Squamous CellCatechinCell CountCell Cycle ProteinsCell Line, TransformedCell Line, TumorCulture Media, Serum-FreeDNA-Binding ProteinsDNA ReplicationEnhancer of Zeste Homolog 2 ProteinEpigenesis, GeneticGene Knockdown TechniquesGenetic VectorsHumansAnticarcinogenic AgentsBMI1 protein, humanCatechinCell Cycle ProteinsCulture Media, Serum-FreeDNA-Binding ProteinsEnhancer of Zeste Homolog 2 Proteinepigallocatechin gallateEZH2 protein, humanNeoplasm ProteinsNuclear ProteinsPolycomb-Group ProteinsPolycomb Repressive Complex 1Polycomb Repressive Complex 2Proto-Oncogene ProteinsRecombinant Fusion ProteinsRepressor ProteinsTranscription Factors

Identifiers

PMID20015867
PMCPMC2832547
OpenAlexW2112983880

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.