Evidence map›Paper›PMID 33898929›Full record

ReviewHemaSphere2021

Molecular Landscapes and Models of Acute Erythroleukemia.

Alexandre Fagnan, Maria-Riera Piqué-Borràs, Samantha Tauchmann, Thomas Mercher, Juerg Schwaller

Open access · goldAbstract readReview
In one paragraph

Review in HemaSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Unraveling the role ofHemaSphere · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Acute Erythroid Leukemia: From Molecular Biology to Clinical Outcomes.International journal of molecular sciences · 2024
    Review
  8. Erythroid Cell Research: 3D Chromatin, Transcription Factors and Beyond.International journal of molecular sciences · 2022
    Review
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

5 authors at 1 institution in 1 country.

Alexandre FagnanINSERM U1170, Equipe Labellisée Ligue Contre le Cancer, Gustave Roussy Institute, Université de Paris, Université Paris-Saclay, Villejuif, France.
Maria-Riera Piqué-BorràsUniversity Children's Hospital beider Basel (UKBB), Department of Biomedicine, University of Basel, Basel, Switzerland.
Samantha TauchmannUniversity Children's Hospital beider Basel (UKBB), Department of Biomedicine, University of Basel, Basel, Switzerland.
Thomas MercherINSERM U1170, Equipe Labellisée Ligue Contre le Cancer, Gustave Roussy Institute, Université de Paris, Université Paris-Saclay, Villejuif, France.
Juerg SchwallerUniversity Children's Hospital beider Basel (UKBB), Department of Biomedicine, University of Basel, Basel, Switzerland.
Institut Gustave Roussy · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignancies of the erythroid lineage are rare but aggressive diseases. Notably, the first insights into their biology emerged over half a century ago from avian and murine tumor viruses-induced erythroleukemia models providing the rationale for several transgenic mouse models that unraveled the transforming potential of signaling effectors and transcription factors in the erythroid lineage. More recently, genetic roadmaps have fueled efforts to establish models that are based on the epigenomic lesions observed in patients with erythroid malignancies. These models, together with often unexpected erythroid phenotypes in genetically modified mice, provided further insights into the molecular mechanisms of disease initiation and maintenance. Here, we review how the increasing knowledge of human erythroleukemia genetics combined with those from various mouse models indicate that the pathogenesis of the disease is based on the interplay between signaling mutations, impaired TP53 function, and altered chromatin organization. These alterations lead to aberrant activity of erythroid transcriptional master regulators like GATA1, indicating that erythroleukemia will most likely require combinatorial targeting for efficient therapeutic interventions.

Identifiers

PMID33898929
PMCPMC8061683
OpenAlexW3157148631

What Socratic 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 Socratic graph.