Evidence map›Paper›PMID 22058117›Full record

ArticleBlood2012

Allelic methylation levels of the noncoding VTRNA2-1 located on chromosome 5q31.1 predict outcome in AML.

Marianne Bach Treppendahl, Xiangning Qiu, Alexandra Søgaard, Xiaojing Yang, Cecilie Nandrup-Bus, Christoffer Hother, Mette Klarskov Andersen, Lars Kjeldsen, Lars Möllgård, Lars Möllgaard and 6 more

Erratum issuedOpen access · bronzeAbstract readComparative Study
In one paragraph

Article in Blood, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Non-coding 886 (Epigenetics · 2024
    Review
  6. Review
  7. Article
  8. Human Vault RNAs: Exploring Their Potential Role in Cellular Metabolism.International journal of molecular sciences · 2024
    Review
  9. Crosstalk between vault RNAs and innate immunity.Molecular biology reports · 2024
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Hypermethylation ofMolecular therapy. Nucleic acids · 2022
    Article
  16. Downregulation ofGenes & diseases · 2022
    Article
  17. Review
  18. Are We Studying Non-Coding RNAs Correctly? Lessons from nc886.International journal of molecular sciences · 2022
    Review
  19. Article
  20. The Role of DNA Methylation and DNA Methyltransferases in Cancer.Advances in experimental medicine and biology · 2022
    Article

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

4 · The record

Corrections and comments

  • Erratum issued
    Möllgaard, Lars [corrected to Möllgård, Lars]
5 · Who and what money

Authors and funding

16 authors at 6 institutions in 4 countries.

Marianne Bach TreppendahlDepartment of Hematology, Rigshospitalet, Copenhagen, Denmark.
Xiangning Qiu
Alexandra Søgaard
Xiaojing Yang
Cecilie Nandrup-Bus
Christoffer Hother
Mette Klarskov Andersen
Lars Kjeldsen
Lars Möllgård
Lars Möllgaard
Eva Hellström-Lindberg
Johan Jendholm
Bo T Porse
Peter A Jones
Gangning Liang
Kirsten Grønbæk
Rigshospitalet · DKUniversity of Southern California · USKarolinska Institutet · SEKarolinska University Hospital · SESecond Xiangya Hospital of Central South University · CNUniversity of Copenhagen · DK

Funding

Mechanisms of De Novo Methylation in CancerR37CA082422 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JONES, PETER A · 2009 to 2013
$2.2M
EBV Antigen and Cell Cycle RegulationR01CA137894 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ROBERTSON, ERLE S. · 2009 to 2013
$1.4M
Determining the mechanistic and therapeutic roles of microRNAs in bladder cancerR01CA138794 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LIANG, GANGNING · 2010 to 2013
$1.0M
NCI NIH HHS R01 CA1378794NCI NIH HHS R01 CA137894NCI NIH HHS R01 CA138794NCI NIH HHS R37 CA082422NCI NIH HHS R37 CA82422
6 · The paper itself

Abstract

Deletions of chromosome 5q are associated with poor outcomes in acute myeloid leukemia (AML) suggesting the presence of tumor suppressor(s) at the locus. However, definitive identification of putative tumor suppressor genes remains controversial. Here we show that a 106-nucleotide noncoding RNA vault RNA2-1 (vtRNA2-1), previously misannotated as miR886, could potentially play a role in the biology and prognosis of AML. vtRNA2-1 is transcribed by polymerase III and is monoallelically methylated in 75% of healthy individuals whereas the remaining 25% of the population have biallelic hypomethylation. AML patients without methylation of VTRNA2-1 have a considerably better outcome than those with monoallelic or biallelic methylation (n = 101, P = .001). We show that methylation is inversely correlated with vtRNA2-1 expression, and that 5-azanucleosides induce vtRNA2-1 and down-regulate the phosphorylated RNA-dependent protein kinase (pPKR), whose activity has been shown to be modulated by vtRNA2-1. Because pPKR promotes cell survival in AML, the data are consistent with vtRNA2-1 being a tumor suppressor in AML. This is the first study to show that vtRNA2-1 might play a significant role in AML, that it is either mono- or biallelically expressed in the blood cells of healthy individuals, and that its methylation state predicts outcome in AML.

Indexed as

DNA MethylationAllelesBase SequenceBlotting, NorthernBlotting, WesternCase-Control StudiesCells, CulturedChromosomes, Human, Pair 5DNA, NeoplasmeIF-2 KinaseFemaleGene Expression Regulation, LeukemicHumansLeukemia, Myeloid, AcuteMaleMicroRNAsDNA, NeoplasmeIF-2 KinaseMicroRNAsMIRN886 microRNA, humanRNA Polymerase IIIRNA, UntranslatedVault Ribonucleoprotein Particles

Identifiers

PMID22058117
PMCPMC3251229
OpenAlexW1978243351

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.