Evidence map›Paper›PMID 32071146›Full record

ReviewCold Spring Harbor perspectives in medicine2021

Mouse Models of Myeloid Malignancies.

Faisal Basheer, George Vassiliou

Open access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. "Next top" mouse models advancing CTCL research.Frontiers in cell and developmental biology · 2024
    Review
  3. Article
  4. Article
  5. 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

2 authors at 1 institution in 1 country.

Faisal BasheerWellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Department of Haematology, University of Cambridge, Cambridge CB2 0AW, United Kingdom.
George VassiliouWellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Department of Haematology, University of Cambridge, Cambridge CB2 0AW, United Kingdom.ORCID 0000-0003-4337-8022
Wellcome/MRC Cambridge Stem Cell Institute · GB

Funding

Cancer Research UK 23015Cancer Research UK C22324/A23015Department of HealthMedical Research Council MC_PC_12009Medical Research Council MC_PC_17230Wellcome Trust
6 · The paper itself

Abstract

Mouse models of human myeloid malignancies support the detailed and focused investigation of selected driver mutations and represent powerful tools in the study of these diseases. Carefully developed murine models can closely recapitulate human myeloid malignancies in vivo, enabling the interrogation of a number of aspects of these diseases including their preclinical course, interactions with the microenvironment, effects of pharmacological agents, and the role of non-cell-autonomous factors, as well as the synergy between co-occurring mutations. Importantly, advances in gene-editing technologies, particularly CRISPR-Cas9, have opened new avenues for the development and study of genetically modified mice and also enable the direct modification of mouse and human hematopoietic cells. In this review we provide a concise overview of some of the important mouse models that have advanced our understanding of myeloid leukemogenesis with an emphasis on models relevant to clonal hematopoiesis, myelodysplastic syndromes, and acute myeloid leukemia with a normal karyotype.

Indexed as

AnimalsBone Marrow NeoplasmsClonal HematopoiesisCRISPR-Cas SystemsDisease Models, AnimalGene EditingHumansLeukemia, Myeloid, AcuteMiceMyelodysplastic Syndromes

Identifiers

PMID32071146
PMCPMC7778217
OpenAlexW3009038454

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.