Evidence map›Paper›PMID 25015109›Full record

ArticleOncotarget2014

A nucleolin-DNMT1 regulatory axis in acute myeloid leukemogenesis.

Na Shen, Fei Yan, Jiuxia Pang, Lai-Chu Wu, Aref Al-Kali, Mark R Litzow, Shujun Liu

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. RNA binding proteins in MLL-rearranged leukemia.Experimental hematology & oncology · 2022
    Review
  6. Review
  7. An Assessment on Ethanol-Blended Gasoline/Diesel Fuels on Cancer Risk and Mortality.International journal of environmental research and public health · 2021
    Review
  8. RNA-Binding Proteins in Acute Leukemias.International journal of molecular sciences · 2020
    Review
  9. Article
  10. Article
  11. Cancer cell international · 2019
    Article
  12. Article
  13. Inactivation of Receptor Tyrosine Kinases Reverts Aberrant DNA Methylation in Acute Myeloid Leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 4 institutions in 1 country.

Na ShenThe Hormel Institute, University of Minnesota, Austin, MN.
Fei YanThe Hormel Institute, University of Minnesota, Austin, MN.
Jiuxia PangThe Hormel Institute, University of Minnesota, Austin, MN.
Lai-Chu WuDepartment of Molecular and Cellular Biochemistry, The Ohio State University, Columbus, OH.
Aref Al-KaliDivision of Hematology, Mayo Clinic, Rochester, MN.
Mark R LitzowDivision of Hematology, Mayo Clinic, Rochester, MN.
Shujun LiuThe Hormel Institute, University of Minnesota, Austin, MN.
University of Minnesota · USMayo Clinic in Arizona · USHormel (United States) · USThe Ohio State University · US

Funding

Targeting aberrant epigenetics by nanomedicineR01CA149623 · NCI · UNIVERSITY OF MINNESOTA · PI LIU, SHUJUN · 2010 to 2014
$1.8M
Bioactive compound modulation of epigenetic regulator Sp1/NFkB/miR network in AMLR21CA155915 · NCI · UNIVERSITY OF MINNESOTA · PI LIU, SHUJUN · 2011 to 2012
$365k
NCI NIH HHS R01 CA149623NCI NIH HHS R01CA149623NCI NIH HHS R21 CA155915NCI NIH HHS R21CA155915
6 · The paper itself

Abstract

Nucleolin overexpression and DNA hypermethylation have been implicated in cancer pathogenesis, but whether and how these aberrations cooperate in controlling leukemia cell fate remains elusive. Here, we provide the first mechanistic insights into the role of nucleolin in leukemogenesis through creating a DNA hypermethylation profile in leukemia cells. We found that, in leukemia patients, nucleolin levels are significantly elevated and nucleolin overexpression strongly associates with DNMT upregulation and shorter survival. Enforced nucleolin expression augmented leukemia cell proliferation, whereas nucleolin dysfunction by RNA interference and inhibitory molecule AS1411 blocked leukemia cell clonogenic potential in vitro and impaired tumorigenesis in vivo. Mechanistic investigations showed that nucleolin directly activates NFκB signaling, and NFκB activates its downstream effector, DNA methylation machinery. Indeed, nucleolin overexpression increased NFκB phosphorylation and upregulated DNMT1 that is followed by DNA demethylation; by contrast, nucleolin dysfunction dephosphorylated NFκB and abrogated DNMT1 expression, which resulted in decreased global DNA methylation, restored p15INK4B expression and DNA hypomethylation on p15INK4B promoter. Notably, NFκB inactivation diminished, whereas NFκB overexpression enhanced DNMT1 promoter activity and endogenous DNMT1 expression. Collectively, our studies identify nucleolin as an unconventional epigenetic regulator in leukemia cells and demonstrate nucleolin-NFκB-DNMT1 axis as a new molecular pathway underlying AML leukemogenesis.

Indexed as

AnimalsCell DifferentiationCell Line, TumorCell ProliferationDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesGene Knockdown TechniquesHEK293 CellsHumansLeukemia, Myeloid, AcuteMiceMice, NudeNF-kappa BNucleolinPhosphoproteinsRNA-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNMT1 protein, humanDnmt1 protein, mouseNF-kappa BNucleolinPhosphoproteinsRNA-Binding Proteins

Identifiers

PMID25015109
PMCPMC4170608
OpenAlexW1813888483

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.