Evidence map›Paper›PMID 27308325›Full record

ReviewMolecular & cellular oncology

Epigenetic control of gene expression in leukemogenesis: Cooperation between wild type MLL and MLL fusion proteins.

Erica Ballabio, Thomas A Milne

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular & cellular oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. HOXA9 Regulome and Pharmacological Interventions in Leukemia.Advances in experimental medicine and biology · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

2 authors at 2 institutions in 2 countries.

Erica BallabioMRC Molecular Hematology Unit; Weatherall Institute of Molecular Medicine; University of Oxford ; Oxford, UK.
Thomas A MilneMRC Molecular Hematology Unit; Weatherall Institute of Molecular Medicine; University of Oxford ; Oxford, UK.
Institute of Molecular Medicine · INUniversity of Oxford · GB

Funding

Medical Research Council MC_UU_12009/6
6 · The paper itself

Abstract

Although there has been great progress in the treatment of human cancers, especially leukemias, many remain resistant to treatment. A major current focus is the development of so-called epigenetic drugs. Epigenetic states are stable enough to persist through multiple cell divisions, but by their very nature are reversible and thus are amenable to therapeutic manipulation. Exciting work in this area has produced a new breed of highly specific small molecules designed to inhibit epigenetic proteins, some of which have entered clinical trials. The current and future development of epigenetic drugs is greatly aided by highly detailed information about normal and aberrant epigenetic changes at the molecular level. In this review we focus on a class of aggressive acute leukemias caused by mutations in the Mixed Lineage Leukemia (MLL) gene. We provide an overview of how detailed molecular analysis of MLL leukemias has provided several early-stage epigenetic drugs and propose that further study of MLL leukemogenesis may continue to provide molecular details that potentially have a wider range of applications in human cancers.

Indexed as

acetylationchromatin modificationsepigeneticfusion proteinshistoneleukemiamethylationMLLsmall molecule inhibitorstherapytranscription elongation

Identifiers

PMID27308325
PMCPMC4905190
OpenAlexW1536480179

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.